A leading research organization in Oxford is seeking a Senior or Non Senior Scientist with expertise in computational methods for genomic sequencing. The successful candidate will develop novel analytical approaches and collaborate with interdisciplinary teams to enhance infectious disease diagnostics. Essential qualifications include a PhD in a related field and experience in bioinformatics tools and methodologies. The role offers competitive salary and benefits in a dynamic, innovative environment.
Feb 13, 2026
Full time
A leading research organization in Oxford is seeking a Senior or Non Senior Scientist with expertise in computational methods for genomic sequencing. The successful candidate will develop novel analytical approaches and collaborate with interdisciplinary teams to enhance infectious disease diagnostics. Essential qualifications include a PhD in a related field and experience in bioinformatics tools and methodologies. The role offers competitive salary and benefits in a dynamic, innovative environment.
ABOUT YOU This role is ideal for an experienced LC-MS scientist who enjoys working independently, applying technical expertise to complex analytical challenges, and collaborating closely with colleagues and clients. You will bring strong technical capability, confidence in method development and validation, and the ability to communicate clearly on scientific and commercial matters click apply for full job details
Feb 13, 2026
Full time
ABOUT YOU This role is ideal for an experienced LC-MS scientist who enjoys working independently, applying technical expertise to complex analytical challenges, and collaborating closely with colleagues and clients. You will bring strong technical capability, confidence in method development and validation, and the ability to communicate clearly on scientific and commercial matters click apply for full job details
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Feb 13, 2026
Full time
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
A global consulting firm is seeking a Lead Data Scientist specializing in AI/ML to design and operationalize analytics solutions. The role involves leadership, guiding teams, and embedding AI into products. Candidates must have 5+ years in ML, proficiency in Python, and experience with cloud services like AWS and Azure. This hybrid position offers flexible working arrangements while ensuring a healthy work-life balance.
Feb 13, 2026
Full time
A global consulting firm is seeking a Lead Data Scientist specializing in AI/ML to design and operationalize analytics solutions. The role involves leadership, guiding teams, and embedding AI into products. Candidates must have 5+ years in ML, proficiency in Python, and experience with cloud services like AWS and Azure. This hybrid position offers flexible working arrangements while ensuring a healthy work-life balance.
About the team You'll join ZOE's Product team, which sets product direction across the company. This is not a feature-delivery role - PMs at ZOE are expected to think strategically, make decisions, and own outcomes. You'll define problems, make trade-offs, and work closely with partners across Engineering, Design, Data Science, and Nutrition Science. Reporting directly to the Chief Product Officer, you'll work with Product leadership to build and scale an app designed to improve the health of millions. As part of the centralised Product team, you'll help drive a consistent experience across the ZOE ecosystem and ship products grounded in science and real user impact. About the role & impact As the Product Manager for our E-commerce Platform, you will own the technical foundation that powers how people discover, evaluate, and purchase ZOE. This role is about building the right platform for growth: scalable, reliable, and designed for rapid experimentation. You'll ensure teams can move fast, test ideas, and learn what truly helps users get started on their health journey. You are the gateway into ZOE. The choices you make determine how easily people can access our science and begin improving their health. You'll work closely with Engineering, Design, Data, and Science partners to translate complex health and microbiome concepts into a clear, trustworthy experience, without compromising scientific integrity. You'll define platform capabilities, set standards for experimentation and measurement, and make trade-offs that balance speed, quality, and long term scalability. When you succeed, more people reach the science and health they deserve, and ZOE has a platform built to grow with them. What you will do Lead the strategy for our web storefront and checkout flows, turning complex biological testing concepts into a frictionless, high converting experience. Collaborate with our world class scientists to translate Gut Microbiome, Blood Sugar, and Blood Fat insights into a compelling commercial narrative. Optimise the transition from a one time kit purchase to a long term health membership, balancing immediate revenue with Life Time Value (LTV). Use data (e.g. Mixpanel) to identify friction. You don't just report data; you provide the "so what" that changes our trajectory. You will lead by example in discovery, documentation (PRDs), and data led decision making. Serve as a strategic partner to Engineering, Branding and Commercial ensuring the e commerce roadmap is aligned with broader company milestones. Who you are 5+ years in Product Management, ideally within E commerce or Growth. Familiarity with modern commerce stacks (Shopify, Headless CMS, or custom built checkout engines). You don't wait for a roadmap; you build it. You thrive in fast paced environments where you need to manage multiple high stakes stakeholders simultaneously. You can explain a complex technical trade off to a non technical founder just as easily as you can discuss API architecture with an engineer. You have a track record of mentoring others. You take pride in seeing your mentees succeed and are skilled at giving constructive, high tension feedback. Our Hiring Process We value your time and aim for a transparent, efficient experience. Our process is designed to evaluate your strategic thinking, technical commerce expertise, and alignment with our mission to improve global health. Talent Acquisition Screen (30 min). We'll dive into your background, your career motivations, and your initial "why" for joining ZOE. Hiring Manager Deep Dive (30 min). This is a high level technical and strategic conversation covering your experience scaling e commerce platforms and your approach to product ownership. The Remote Loop. We don't do back to back marathon interviews. Instead, we schedule these three sessions over a window of 10 working days to give you space to be at your best. Case Study & Deep Dive (60 min): You will receive a brief e commerce challenge (intended to take 4 hours) focusing on a ZOE specific product problem. You'll present your strategy followed by a technical and UX deep dive with a panel of interviewers. Cross Functional Partnership (45 min): You'll meet your future partners. We'll explore how you translate complex biological data into a commercial narrative and how you manage high stakes stakeholder trade offs. Leadership & Values (45 min): A final session with our CPO and CEO. This is about "Founder Mentality", discussing long term vision, ethical health tech dilemmas, and your track record of mentoring and elevating those around you. Ready to thrive? We want to hear from you The experience, skills, and attributes we've outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don't hesitate to apply-even if you don't meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.
Feb 13, 2026
Full time
About the team You'll join ZOE's Product team, which sets product direction across the company. This is not a feature-delivery role - PMs at ZOE are expected to think strategically, make decisions, and own outcomes. You'll define problems, make trade-offs, and work closely with partners across Engineering, Design, Data Science, and Nutrition Science. Reporting directly to the Chief Product Officer, you'll work with Product leadership to build and scale an app designed to improve the health of millions. As part of the centralised Product team, you'll help drive a consistent experience across the ZOE ecosystem and ship products grounded in science and real user impact. About the role & impact As the Product Manager for our E-commerce Platform, you will own the technical foundation that powers how people discover, evaluate, and purchase ZOE. This role is about building the right platform for growth: scalable, reliable, and designed for rapid experimentation. You'll ensure teams can move fast, test ideas, and learn what truly helps users get started on their health journey. You are the gateway into ZOE. The choices you make determine how easily people can access our science and begin improving their health. You'll work closely with Engineering, Design, Data, and Science partners to translate complex health and microbiome concepts into a clear, trustworthy experience, without compromising scientific integrity. You'll define platform capabilities, set standards for experimentation and measurement, and make trade-offs that balance speed, quality, and long term scalability. When you succeed, more people reach the science and health they deserve, and ZOE has a platform built to grow with them. What you will do Lead the strategy for our web storefront and checkout flows, turning complex biological testing concepts into a frictionless, high converting experience. Collaborate with our world class scientists to translate Gut Microbiome, Blood Sugar, and Blood Fat insights into a compelling commercial narrative. Optimise the transition from a one time kit purchase to a long term health membership, balancing immediate revenue with Life Time Value (LTV). Use data (e.g. Mixpanel) to identify friction. You don't just report data; you provide the "so what" that changes our trajectory. You will lead by example in discovery, documentation (PRDs), and data led decision making. Serve as a strategic partner to Engineering, Branding and Commercial ensuring the e commerce roadmap is aligned with broader company milestones. Who you are 5+ years in Product Management, ideally within E commerce or Growth. Familiarity with modern commerce stacks (Shopify, Headless CMS, or custom built checkout engines). You don't wait for a roadmap; you build it. You thrive in fast paced environments where you need to manage multiple high stakes stakeholders simultaneously. You can explain a complex technical trade off to a non technical founder just as easily as you can discuss API architecture with an engineer. You have a track record of mentoring others. You take pride in seeing your mentees succeed and are skilled at giving constructive, high tension feedback. Our Hiring Process We value your time and aim for a transparent, efficient experience. Our process is designed to evaluate your strategic thinking, technical commerce expertise, and alignment with our mission to improve global health. Talent Acquisition Screen (30 min). We'll dive into your background, your career motivations, and your initial "why" for joining ZOE. Hiring Manager Deep Dive (30 min). This is a high level technical and strategic conversation covering your experience scaling e commerce platforms and your approach to product ownership. The Remote Loop. We don't do back to back marathon interviews. Instead, we schedule these three sessions over a window of 10 working days to give you space to be at your best. Case Study & Deep Dive (60 min): You will receive a brief e commerce challenge (intended to take 4 hours) focusing on a ZOE specific product problem. You'll present your strategy followed by a technical and UX deep dive with a panel of interviewers. Cross Functional Partnership (45 min): You'll meet your future partners. We'll explore how you translate complex biological data into a commercial narrative and how you manage high stakes stakeholder trade offs. Leadership & Values (45 min): A final session with our CPO and CEO. This is about "Founder Mentality", discussing long term vision, ethical health tech dilemmas, and your track record of mentoring and elevating those around you. Ready to thrive? We want to hear from you The experience, skills, and attributes we've outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don't hesitate to apply-even if you don't meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.
Research Engineer The Role We are seeking an experienced and motivated engineer or scientist to support the development of low Technology Readiness Level (TRL) research concepts. This role involves designing, building, testing and analysing prototype systems so they can be evaluated for future capability click apply for full job details
Feb 13, 2026
Full time
Research Engineer The Role We are seeking an experienced and motivated engineer or scientist to support the development of low Technology Readiness Level (TRL) research concepts. This role involves designing, building, testing and analysing prototype systems so they can be evaluated for future capability click apply for full job details
The Alan Turing Institute
Cheltenham, Gloucestershire
The Alan Turing Institute Named in honour of Alan Turing , the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security programme at the Turing is looking to expand Turing Integrated Research Engineering (TIRE) , a high performing team of research engineers working on real-world problems aligned with securing the UK. Following in the footsteps of the institute s namesake, Alan Turing, TIRE operates at the intersection of mathematics, engineering and computing and works in close collaboration with the Turing s National Security partners. This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Eligibility for DV clearance is an essential requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . We require essential information in your cover letter to progress your application. Details available under Application Procedure on our portal. CANDIDATE PROFILE The ideal candidate would have a Masers degree or equivalent professional experience in a field with signifcant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Professional experience in a field or sector with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques is essential as well as fluency in one or more modern programming languages used in data science. We work in Python mainly but use of other programming languages and a willingness to learn new languages is important. Experience of working with senior stakeholders is desirable. DUTIES AND AREAS OF RESPONSIBILITY Understand the problems of the Turing s partners and develop appropriate approaches. Perform experiments and develop capabilities, which might include: building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and/or visualisations. Develop, implement and adapt state-of-the-art and novel data science and artificial intelligence techniques emerging from the Institute and elsewhere to problems faced by the Turing s partners. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Application procedure Please see our jobs portal for full details on how to apply and the interview process. As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the information requested as part of your cover letter. This is explained on our jobs portal. Equality Diversity and Inclusion We are committed to making our recruitment process accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Feb 13, 2026
Full time
The Alan Turing Institute Named in honour of Alan Turing , the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security programme at the Turing is looking to expand Turing Integrated Research Engineering (TIRE) , a high performing team of research engineers working on real-world problems aligned with securing the UK. Following in the footsteps of the institute s namesake, Alan Turing, TIRE operates at the intersection of mathematics, engineering and computing and works in close collaboration with the Turing s National Security partners. This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Eligibility for DV clearance is an essential requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . We require essential information in your cover letter to progress your application. Details available under Application Procedure on our portal. CANDIDATE PROFILE The ideal candidate would have a Masers degree or equivalent professional experience in a field with signifcant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Professional experience in a field or sector with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques is essential as well as fluency in one or more modern programming languages used in data science. We work in Python mainly but use of other programming languages and a willingness to learn new languages is important. Experience of working with senior stakeholders is desirable. DUTIES AND AREAS OF RESPONSIBILITY Understand the problems of the Turing s partners and develop appropriate approaches. Perform experiments and develop capabilities, which might include: building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and/or visualisations. Develop, implement and adapt state-of-the-art and novel data science and artificial intelligence techniques emerging from the Institute and elsewhere to problems faced by the Turing s partners. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Application procedure Please see our jobs portal for full details on how to apply and the interview process. As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the information requested as part of your cover letter. This is explained on our jobs portal. Equality Diversity and Inclusion We are committed to making our recruitment process accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
The Alan Turing Institute
Cheltenham, Gloucestershire
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security programme at the Turing is looking to expand Turing Integrated Research Engineering (TIRE) , a high performing team of research engineers working on real-world problems aligned with securing the UK. Following in the footsteps of the institute s namesake, Alan Turing, TIRE operates at the intersection of mathematics, engineering and computing and works in close collaboration with the Turing s National Security partners. This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Eligibility for DV clearance is an essential requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . We require essential information in your cover letter to progress your application. Details available under Application Procedure on our portal. CANDIDATE PROFILE The ideal candidate would have a PhD degree or equivalent professional experience in a field with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Experience in a field or sector with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques is essential as well as fluency in one or more modern programming languages used in data science. We work in Python mainly but use of other programming languages and a willingness to learn new languages is important. As this is a Senior role we are looking for someone who has experience of managing and influencing senior stakeholders and can lead a project to a successful conclusion. DUTIES AND AREAS OF RESPONSIBILITY Understand the problems of the Turing s partners and develop appropriate approaches. Provide technical leadership for research sub-projects, ensuring successful outcomes. Line-manage other staff within the group, supporting their career development aspirations. Take ownership of a particular domain challenge area or methodology for the group. Develop new projects in conjunction with the group lead and other colleagues. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £54,612 -£62,381 plus excellent benefits including flexible working and family friendly policies , Employee-only benefits guide The Alan Turing Institute This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Application procedure Please see our jobs portal for full details on how to apply and the interview process. As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the information requested as part of your cover letter. This is explained on our jobs portal. Equality Diversity and Inclusion We are committed to making our recruitment process accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Feb 13, 2026
Full time
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security programme at the Turing is looking to expand Turing Integrated Research Engineering (TIRE) , a high performing team of research engineers working on real-world problems aligned with securing the UK. Following in the footsteps of the institute s namesake, Alan Turing, TIRE operates at the intersection of mathematics, engineering and computing and works in close collaboration with the Turing s National Security partners. This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Eligibility for DV clearance is an essential requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . We require essential information in your cover letter to progress your application. Details available under Application Procedure on our portal. CANDIDATE PROFILE The ideal candidate would have a PhD degree or equivalent professional experience in a field with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Experience in a field or sector with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques is essential as well as fluency in one or more modern programming languages used in data science. We work in Python mainly but use of other programming languages and a willingness to learn new languages is important. As this is a Senior role we are looking for someone who has experience of managing and influencing senior stakeholders and can lead a project to a successful conclusion. DUTIES AND AREAS OF RESPONSIBILITY Understand the problems of the Turing s partners and develop appropriate approaches. Provide technical leadership for research sub-projects, ensuring successful outcomes. Line-manage other staff within the group, supporting their career development aspirations. Take ownership of a particular domain challenge area or methodology for the group. Develop new projects in conjunction with the group lead and other colleagues. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £54,612 -£62,381 plus excellent benefits including flexible working and family friendly policies , Employee-only benefits guide The Alan Turing Institute This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Application procedure Please see our jobs portal for full details on how to apply and the interview process. As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the information requested as part of your cover letter. This is explained on our jobs portal. Equality Diversity and Inclusion We are committed to making our recruitment process accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Overview Lead Data Scientist, AL/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities-guiding small, high performing teams as they deliver impactful AI initiatives. You'll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). Operationalise ML solutions using MLOps practices-CI/CD for models, reproducible training, and automated deployment. Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. Think strategically about data collection, metric design, and ethical AI-driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered 5+ years of hands on experience in statistical methods and ML engineering across the end to end lifecycle (data prep modelling deployment monitoring). Proficiency in Python and strong command of ML/DS libraries (scikit learn, pandas, numpy, TensorFlow/PyTorch). Experience working with GCP, AWS and Azure data services. Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment). Ability to communicate technical insights clearly to non technical audiences; strong storytelling with data. Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners. Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences). Working knowledge of cloud native software architecture, service design/design thinking, and version control (Git). Experience leading small AI teams and mentoring junior data scientists on AI/ML initiatives. These will help you succeed (nice to haves) Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks). Background in real time analytics and event driven architectures. Prior consulting experience (client facing, pre sales, solutioning) and domain expertise. A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organisations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Feb 13, 2026
Full time
Overview Lead Data Scientist, AL/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities-guiding small, high performing teams as they deliver impactful AI initiatives. You'll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). Operationalise ML solutions using MLOps practices-CI/CD for models, reproducible training, and automated deployment. Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. Think strategically about data collection, metric design, and ethical AI-driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered 5+ years of hands on experience in statistical methods and ML engineering across the end to end lifecycle (data prep modelling deployment monitoring). Proficiency in Python and strong command of ML/DS libraries (scikit learn, pandas, numpy, TensorFlow/PyTorch). Experience working with GCP, AWS and Azure data services. Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment). Ability to communicate technical insights clearly to non technical audiences; strong storytelling with data. Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners. Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences). Working knowledge of cloud native software architecture, service design/design thinking, and version control (Git). Experience leading small AI teams and mentoring junior data scientists on AI/ML initiatives. These will help you succeed (nice to haves) Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks). Background in real time analytics and event driven architectures. Prior consulting experience (client facing, pre sales, solutioning) and domain expertise. A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organisations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
We are looking for a skilled mid-Level Data Engineer with a passion for building reliable and scalable data pipelines to power cutting-edge genAI products. The ideal person would have strong commercial experience in real-time data engineering and cloud technologies, and be able to apply this expertise to business problems to generate value. We currently work in an AWS, Snowflake, dbt, Looker, Python, Kinesis and Airflow stack and are building out our real-time data streaming capabilities using Kafka. You should be comfortable with these or comparable technologies. As an individual contributor, you will take ownership of well-defined projects, collaborate with senior colleagues on architectural decisions, and contribute to improving data engineering standards, documentation, and team practice. The successful candidate will join our cross functional development teams and actively participate in our agile delivery process. Our dynamic Data & AI team will also support you, and you will benefit from talking data with our other data engineers, data scientists, and ML and analytics engineers. Responsibilities Contribute to our data engineering roadmap. Collaborate with senior data engineers on data architecture plans. Managing Kafka in production Collaborating with cross-functional teams to develop and implement robust, scalable solutions. Supporting the elicitation and development of technical requirements. Building, maintaining and improving data pipelines and self-service tooling to provide clean, efficient results. Develop automated tests and monitoring to ensure data quality and data pipeline reliability. Implement best practices in data governance through documentation, observability and controls. Using version control and contributing to code reviews. Supporting the adoption of tools and best practices across the team. Mentoring junior colleagues where appropriate. Requirements Essential: Solid commercial experience in a mid-level data engineering role. Excellent production-grade Python skills. Previous experience with real-time data streaming platforms such as Kafka/Confluent/Google Cloud Pub/Sub. Experience handling and validating real-time data. Experience with stream processing frameworks such as Faust/Flink/Kafka Streams, or similar. Comfortable with database technologies such as Snowflake/PostgreSQL and NoSQL technologies such as Elasticsearch/MongoDB/Redis or similar. Proficient with ELT pipelines and the full data lifecycle, including managing data pipelines over time. Good communication skills and the ability to collaborate effectively with engineers, product managers and other internal stakeholders. Desirable: An understanding of JavaScript/TypeScript. An understanding of Docker. Experience with Terraform Experience with EKS/Kubernetes Experience developing APIs. Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Benefits Salary up to £65,000 Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care) Life Insurance scheme 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years) Employee Assistance Programme (confidential counselling) Gogeta nursery salary sacrifice scheme (save up to 40% per year) Enhanced parental leave and pay including 26 weeks' full maternity pay and 8 weeks' paternity leave
Feb 13, 2026
Full time
We are looking for a skilled mid-Level Data Engineer with a passion for building reliable and scalable data pipelines to power cutting-edge genAI products. The ideal person would have strong commercial experience in real-time data engineering and cloud technologies, and be able to apply this expertise to business problems to generate value. We currently work in an AWS, Snowflake, dbt, Looker, Python, Kinesis and Airflow stack and are building out our real-time data streaming capabilities using Kafka. You should be comfortable with these or comparable technologies. As an individual contributor, you will take ownership of well-defined projects, collaborate with senior colleagues on architectural decisions, and contribute to improving data engineering standards, documentation, and team practice. The successful candidate will join our cross functional development teams and actively participate in our agile delivery process. Our dynamic Data & AI team will also support you, and you will benefit from talking data with our other data engineers, data scientists, and ML and analytics engineers. Responsibilities Contribute to our data engineering roadmap. Collaborate with senior data engineers on data architecture plans. Managing Kafka in production Collaborating with cross-functional teams to develop and implement robust, scalable solutions. Supporting the elicitation and development of technical requirements. Building, maintaining and improving data pipelines and self-service tooling to provide clean, efficient results. Develop automated tests and monitoring to ensure data quality and data pipeline reliability. Implement best practices in data governance through documentation, observability and controls. Using version control and contributing to code reviews. Supporting the adoption of tools and best practices across the team. Mentoring junior colleagues where appropriate. Requirements Essential: Solid commercial experience in a mid-level data engineering role. Excellent production-grade Python skills. Previous experience with real-time data streaming platforms such as Kafka/Confluent/Google Cloud Pub/Sub. Experience handling and validating real-time data. Experience with stream processing frameworks such as Faust/Flink/Kafka Streams, or similar. Comfortable with database technologies such as Snowflake/PostgreSQL and NoSQL technologies such as Elasticsearch/MongoDB/Redis or similar. Proficient with ELT pipelines and the full data lifecycle, including managing data pipelines over time. Good communication skills and the ability to collaborate effectively with engineers, product managers and other internal stakeholders. Desirable: An understanding of JavaScript/TypeScript. An understanding of Docker. Experience with Terraform Experience with EKS/Kubernetes Experience developing APIs. Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Benefits Salary up to £65,000 Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care) Life Insurance scheme 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years) Employee Assistance Programme (confidential counselling) Gogeta nursery salary sacrifice scheme (save up to 40% per year) Enhanced parental leave and pay including 26 weeks' full maternity pay and 8 weeks' paternity leave
Position Overview This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Research Scientist in United Kingdom. This is a highly impactful research leadership role focused on advancing knowledge integrity in online communities. You will lead a strategic portfolio of research projects, mentor individual contributors, and translate complex scientific findings into actionable recommendations for decision-makers across the organization. The role requires close collaboration with cross-functional teams, including legal, communications, and product, while engaging with global scientific stakeholders. You will shape the direction of research on content quality, governance, and trust, driving initiatives that influence both internal strategy and the broader information ecosystem. This fully remote position offers the opportunity to operate at the intersection of science, technology, and community, with visibility and influence on a global scale. Travel up to four times per year is expected for collaboration and engagement with key partners. Accountabilities Lead a strategic research portfolio focused on knowledge integrity, content quality, and governance in online communities. Maintain an up-to-date understanding of global research landscapes to inform organizational strategy and risk management. Mentor and guide individual contributors, ensuring high-quality, high-impact scientific output. Translate complex research findings into actionable recommendations for leadership and cross-functional teams. Conduct rapid technical vetting of external research to identify risks, opportunities, and insights. Represent the organization in research advocacy, public engagement, and collaborations with scientific communities and standards organizations. Build and sustain strategic relationships to influence industry best practices and standards in knowledge integrity research. Requirements PhD and a minimum of five years of professional experience in a related field. 3+ years of strategic technical leadership in large matrixed organizations, research institutions, or equivalent academic experience. Proven record of scholarly publications and service to research communities, including human-computer interaction or computational social science. Advanced expertise in AI, NLP, ML frameworks, or mixed-method research applied to online community governance and human-system interaction. Ability to distill complex scientific findings into clear, actionable insights for non-technical stakeholders. Strong portfolio management skills, balancing high-level strategy with technical execution. Experience auditing algorithms for bias, accuracy, and organizational impact is preferred. Comfort operating in highly visible, public-facing roles and engaging with diverse, multicultural communities. Open to remote work with availability for critical meetings between 15:00 to 19:00 UTC and up to four annual travel events. Benefits Fully remote position with a global, mission-driven organization. Competitive and equitable salary with adjustments based on location. Opportunities to lead impactful research with real-world applications and influence organizational strategy. Access to professional development, collaboration with senior leadership, and engagement with global scientific communities. Inclusive and diverse work environment with commitment to equity and transparency. Support for travel and remote work setup.
Feb 13, 2026
Full time
Position Overview This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Research Scientist in United Kingdom. This is a highly impactful research leadership role focused on advancing knowledge integrity in online communities. You will lead a strategic portfolio of research projects, mentor individual contributors, and translate complex scientific findings into actionable recommendations for decision-makers across the organization. The role requires close collaboration with cross-functional teams, including legal, communications, and product, while engaging with global scientific stakeholders. You will shape the direction of research on content quality, governance, and trust, driving initiatives that influence both internal strategy and the broader information ecosystem. This fully remote position offers the opportunity to operate at the intersection of science, technology, and community, with visibility and influence on a global scale. Travel up to four times per year is expected for collaboration and engagement with key partners. Accountabilities Lead a strategic research portfolio focused on knowledge integrity, content quality, and governance in online communities. Maintain an up-to-date understanding of global research landscapes to inform organizational strategy and risk management. Mentor and guide individual contributors, ensuring high-quality, high-impact scientific output. Translate complex research findings into actionable recommendations for leadership and cross-functional teams. Conduct rapid technical vetting of external research to identify risks, opportunities, and insights. Represent the organization in research advocacy, public engagement, and collaborations with scientific communities and standards organizations. Build and sustain strategic relationships to influence industry best practices and standards in knowledge integrity research. Requirements PhD and a minimum of five years of professional experience in a related field. 3+ years of strategic technical leadership in large matrixed organizations, research institutions, or equivalent academic experience. Proven record of scholarly publications and service to research communities, including human-computer interaction or computational social science. Advanced expertise in AI, NLP, ML frameworks, or mixed-method research applied to online community governance and human-system interaction. Ability to distill complex scientific findings into clear, actionable insights for non-technical stakeholders. Strong portfolio management skills, balancing high-level strategy with technical execution. Experience auditing algorithms for bias, accuracy, and organizational impact is preferred. Comfort operating in highly visible, public-facing roles and engaging with diverse, multicultural communities. Open to remote work with availability for critical meetings between 15:00 to 19:00 UTC and up to four annual travel events. Benefits Fully remote position with a global, mission-driven organization. Competitive and equitable salary with adjustments based on location. Opportunities to lead impactful research with real-world applications and influence organizational strategy. Access to professional development, collaboration with senior leadership, and engagement with global scientific communities. Inclusive and diverse work environment with commitment to equity and transparency. Support for travel and remote work setup.
Production Scientist Wise Employment are looking for a Production Scientist to join a laboratory-based production team in Rotherham, South Yorkshire. This amazing opportunity is a full-time Permanent position, where you will earn a salary of £28,000 a year and have access to some benefits such as 25 days' holiday, a health plan, contributory pension, training and development and excellent amenities click apply for full job details
Feb 13, 2026
Full time
Production Scientist Wise Employment are looking for a Production Scientist to join a laboratory-based production team in Rotherham, South Yorkshire. This amazing opportunity is a full-time Permanent position, where you will earn a salary of £28,000 a year and have access to some benefits such as 25 days' holiday, a health plan, contributory pension, training and development and excellent amenities click apply for full job details
Lead Data Scientist - Marketing Science Leicester, UK (Hybrid) Up to £75,000 DOE iO Associates are aligned with one of the UK's most recognised and fast-scaling retail powerhouses, operating at significant scale within a highly data-driven eCommerce environment where analytics directly shapes commercial performance. This role will lead advanced marketing science initiatives, delivering machine learni
Feb 13, 2026
Full time
Lead Data Scientist - Marketing Science Leicester, UK (Hybrid) Up to £75,000 DOE iO Associates are aligned with one of the UK's most recognised and fast-scaling retail powerhouses, operating at significant scale within a highly data-driven eCommerce environment where analytics directly shapes commercial performance. This role will lead advanced marketing science initiatives, delivering machine learni
Job description Site Name: USA - Pennsylvania - Upper Providence, Cambridge 300 Technology Square, UK - Hertfordshire - Stevenage Posted Date: Feb 6 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary We are seeking a talented and motivated individual to join our team as a Principal Scientist/Senior Principal Scientist in Applied Genetics within the R&D Translational Sciences team. The R&D Translational Sciences group generates and applies human genetics, genomics, and biomarker insights into key GSK disease areas and product strategies. The successful candidate will have experience in human genetics, statistical genetics, genetic epidemiology, or a related discipline with high computational skills, and will be excited to apply their expertise in human genetics to the development of new medicines. The Principal Scientist/Senior Principal Scientist will be responsible for performing human genetics & statistical genetics analyses in key disease areas, evaluating genetic evidence and causal biology in support of therapeutic target hypotheses, evaluating and implementing new analytical methods, and effectively communicating their results and interpretation to peers and leaders. They will have experience working in multi-disciplinary teams to answer complex scientific questions. This role will provide you the opportunity to lead key activities to progress your career. Key Responsibilities Apply expertise in human genetics, statistical genetics, genetic epidemiology, or a related discipline to support the development of new medicines. Contribute to the ongoing development and iteration of scaled and automated genetic assessment tools to support the advancing science of drug target identification and validation. Develop and/or critically evaluate new methods to derive and apply genetic insights to support the development of therapeutic target hypotheses. Perform and apply at scale and bespoke computational and statistical analyses (e.g., GWAS, WGS, Mendelian Randomization, rare variant association testing, and variant to gene mapping) and implement new analytical methods to infer molecular mechanisms to elucidate and interrogate therapeutic hypotheses. Evaluate genetic and causal biology evidence to support therapeutic target hypotheses and provide clear and concise communication of results and interpretation to peers and leaders. Collaborate effectively in multi disciplinary teams (internal and external) to answer complex scientific questions. Identify and implement creative solutions to address challenging scientific questions. Why You? Basic Qualifications Ph.D in human genetics, statistical genetics, genetic epidemiology, or related disciplines with strong computational and quantitative focus. Experience in development, critical evaluation and application of analyses methods to answer complex scientific questions. Experience in performing analyses and the interpretation of findings of large scale population based genetic studies (e.g., GWAS and WES/WGS approaches, MR and variant to gene mapping). Experience evaluating and integrating genetic and genomic data to evaluate strength of causal genetic evidence (e.g., QTL mapping & integration, causal inference, pathway enrichment). Proficient in programming/scripting in R or Python and working within cloud based computing platforms (e.g., AWS and/or Google Cloud). Experience in working with genetics databases and resources including key biobanks and disease specific consortia data sources. Preferred Qualifications Experience working in multi disciplinary teams to answer scientific questions and influence scientific plans/project decisions. Excellent communication skills to effectively convey complex scientific concepts to peers and leaders. Proactive and innovative mindset with the ability to identify and implement creative solutions and demonstrated strong problem solving skills. Ability to work flexibly and adapt to changing priorities and timelines. Passion for advancing the science of drug target identification and validation. Experience in software development, both independently and as part of a team, developing well documented solutions that other scientists can use, understand and debug. Strong understanding and experience with implementation of FAIR data principles. Work model This role is based in the United States and follows a hybrid working model under GSK's Performance with Choice approach. You will balance on site collaboration with focused remote work. How to apply If this role matches your skills and purpose, we want to hear from you. Please apply with your CV and a short message describing how your experience maps to the role and the impact you want to make. We welcome applicants from all backgrounds and encourage people who value inclusion, teamwork and learning to apply. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $121,275 to $202,125. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information . click apply for full job details
Feb 13, 2026
Full time
Job description Site Name: USA - Pennsylvania - Upper Providence, Cambridge 300 Technology Square, UK - Hertfordshire - Stevenage Posted Date: Feb 6 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary We are seeking a talented and motivated individual to join our team as a Principal Scientist/Senior Principal Scientist in Applied Genetics within the R&D Translational Sciences team. The R&D Translational Sciences group generates and applies human genetics, genomics, and biomarker insights into key GSK disease areas and product strategies. The successful candidate will have experience in human genetics, statistical genetics, genetic epidemiology, or a related discipline with high computational skills, and will be excited to apply their expertise in human genetics to the development of new medicines. The Principal Scientist/Senior Principal Scientist will be responsible for performing human genetics & statistical genetics analyses in key disease areas, evaluating genetic evidence and causal biology in support of therapeutic target hypotheses, evaluating and implementing new analytical methods, and effectively communicating their results and interpretation to peers and leaders. They will have experience working in multi-disciplinary teams to answer complex scientific questions. This role will provide you the opportunity to lead key activities to progress your career. Key Responsibilities Apply expertise in human genetics, statistical genetics, genetic epidemiology, or a related discipline to support the development of new medicines. Contribute to the ongoing development and iteration of scaled and automated genetic assessment tools to support the advancing science of drug target identification and validation. Develop and/or critically evaluate new methods to derive and apply genetic insights to support the development of therapeutic target hypotheses. Perform and apply at scale and bespoke computational and statistical analyses (e.g., GWAS, WGS, Mendelian Randomization, rare variant association testing, and variant to gene mapping) and implement new analytical methods to infer molecular mechanisms to elucidate and interrogate therapeutic hypotheses. Evaluate genetic and causal biology evidence to support therapeutic target hypotheses and provide clear and concise communication of results and interpretation to peers and leaders. Collaborate effectively in multi disciplinary teams (internal and external) to answer complex scientific questions. Identify and implement creative solutions to address challenging scientific questions. Why You? Basic Qualifications Ph.D in human genetics, statistical genetics, genetic epidemiology, or related disciplines with strong computational and quantitative focus. Experience in development, critical evaluation and application of analyses methods to answer complex scientific questions. Experience in performing analyses and the interpretation of findings of large scale population based genetic studies (e.g., GWAS and WES/WGS approaches, MR and variant to gene mapping). Experience evaluating and integrating genetic and genomic data to evaluate strength of causal genetic evidence (e.g., QTL mapping & integration, causal inference, pathway enrichment). Proficient in programming/scripting in R or Python and working within cloud based computing platforms (e.g., AWS and/or Google Cloud). Experience in working with genetics databases and resources including key biobanks and disease specific consortia data sources. Preferred Qualifications Experience working in multi disciplinary teams to answer scientific questions and influence scientific plans/project decisions. Excellent communication skills to effectively convey complex scientific concepts to peers and leaders. Proactive and innovative mindset with the ability to identify and implement creative solutions and demonstrated strong problem solving skills. Ability to work flexibly and adapt to changing priorities and timelines. Passion for advancing the science of drug target identification and validation. Experience in software development, both independently and as part of a team, developing well documented solutions that other scientists can use, understand and debug. Strong understanding and experience with implementation of FAIR data principles. Work model This role is based in the United States and follows a hybrid working model under GSK's Performance with Choice approach. You will balance on site collaboration with focused remote work. How to apply If this role matches your skills and purpose, we want to hear from you. Please apply with your CV and a short message describing how your experience maps to the role and the impact you want to make. We welcome applicants from all backgrounds and encourage people who value inclusion, teamwork and learning to apply. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $121,275 to $202,125. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information . click apply for full job details
Are you passionate about education and making a meaningful impact on global women's health? This exciting opportunity offers you the chance to join the Education team of an international membership body for professionals. You will provide vital administrative support to the Education department, assisting with the management of education-related committees and sub-committees, ensuring the smooth running of committee meetings, and contributing to the development and dissemination of educational outputs. Role responsibilities The successful candidate will provide high-quality administrative support to their Education department. From managing committee schedules to minute-taking, assisting with volunteer recruitment processes, and supporting the production and dissemination of committee outputs, you will be integral to the effective delivery of their educational activities. You will work closely with the rest of the Education team and other departments to ensure that all processes are streamlined, ensuring the best possible service for our members and stakeholders. Role requirements They are seeking candidates with experience in working with committees, excellent organisational and communication skills, and a proactive approach to problem-solving. A strong attention to detail, ability to manage multiple tasks simultaneously, and a passion for supporting educational initiatives are essential for success in this role. You will need to demonstrate a commitment to delivering excellent customer service, as well as experience in working with data and producing reports. Please read the job description to find out more about the position and person specification. Contract Type: Permanent Hours: Full Time Salary: £24,500-27,000 per annum dependent on experience, plus benefits. Location: The role is based in London. A hybrid working system is in place and the job holder will be expected to work from their location for a minimum of 2 days each week. Due to the nature of the role, the job holder may be required to work from the office more than 2 days a week. Benefits include: 25days annual leave per annum plus eight Bank/Public holidays (rising by 1 day per year for every complete year of service, up to anadditional5 days), together with 3additionaldays over Christmas and New Year. 4% (matched) employer pension, rising to 6% on successful completion of probation. Employee Assistance Program. Season ticket loan scheme. Death in service About their organisation: Our client is a highly respected professional membership organisation across 140 countries, comprised primarily of clinicians who are ultrasound experts in the field of obstetrics and gynecology. The Society includes obstetricians and gynecologists, trainees, medical doctors, scientists, sonographers, midwives and other health professionals who work to advance women s health and well-being globally. Their mission is to improve women s health through the provision, advancement and dissemination of the highest quality education, standards and research information around ultrasound in obstetrics and gynecology. This is achieved through education and training, programmatic initiatives and advocacy. They are an equal opportunities employer and are proud to employ a workforce that reflects the diverse communities they serve. They welcome applications from all suitably qualified persons from all backgrounds. Please submit your application, CV and covering letter as soon as possible ; they reserve the right to close any adverts before the closing date of 6th March 2026, once they have received sufficient applications. Interviews may be organised before the closing date (or if not, week of 9th March 2026). Regrettably, they are not able to provide feedback to those candidates who are not shortlisted, as it simply would not be manageable to do so. REF-
Feb 13, 2026
Full time
Are you passionate about education and making a meaningful impact on global women's health? This exciting opportunity offers you the chance to join the Education team of an international membership body for professionals. You will provide vital administrative support to the Education department, assisting with the management of education-related committees and sub-committees, ensuring the smooth running of committee meetings, and contributing to the development and dissemination of educational outputs. Role responsibilities The successful candidate will provide high-quality administrative support to their Education department. From managing committee schedules to minute-taking, assisting with volunteer recruitment processes, and supporting the production and dissemination of committee outputs, you will be integral to the effective delivery of their educational activities. You will work closely with the rest of the Education team and other departments to ensure that all processes are streamlined, ensuring the best possible service for our members and stakeholders. Role requirements They are seeking candidates with experience in working with committees, excellent organisational and communication skills, and a proactive approach to problem-solving. A strong attention to detail, ability to manage multiple tasks simultaneously, and a passion for supporting educational initiatives are essential for success in this role. You will need to demonstrate a commitment to delivering excellent customer service, as well as experience in working with data and producing reports. Please read the job description to find out more about the position and person specification. Contract Type: Permanent Hours: Full Time Salary: £24,500-27,000 per annum dependent on experience, plus benefits. Location: The role is based in London. A hybrid working system is in place and the job holder will be expected to work from their location for a minimum of 2 days each week. Due to the nature of the role, the job holder may be required to work from the office more than 2 days a week. Benefits include: 25days annual leave per annum plus eight Bank/Public holidays (rising by 1 day per year for every complete year of service, up to anadditional5 days), together with 3additionaldays over Christmas and New Year. 4% (matched) employer pension, rising to 6% on successful completion of probation. Employee Assistance Program. Season ticket loan scheme. Death in service About their organisation: Our client is a highly respected professional membership organisation across 140 countries, comprised primarily of clinicians who are ultrasound experts in the field of obstetrics and gynecology. The Society includes obstetricians and gynecologists, trainees, medical doctors, scientists, sonographers, midwives and other health professionals who work to advance women s health and well-being globally. Their mission is to improve women s health through the provision, advancement and dissemination of the highest quality education, standards and research information around ultrasound in obstetrics and gynecology. This is achieved through education and training, programmatic initiatives and advocacy. They are an equal opportunities employer and are proud to employ a workforce that reflects the diverse communities they serve. They welcome applications from all suitably qualified persons from all backgrounds. Please submit your application, CV and covering letter as soon as possible ; they reserve the right to close any adverts before the closing date of 6th March 2026, once they have received sufficient applications. Interviews may be organised before the closing date (or if not, week of 9th March 2026). Regrettably, they are not able to provide feedback to those candidates who are not shortlisted, as it simply would not be manageable to do so. REF-
A leading global research organization is seeking a Principal Research Scientist to lead impactful research initiatives on knowledge integrity and governance in online communities. This fully remote position requires a PhD and extensive experience in AI and research leadership. You will mentor teams and ensure high-quality output while translating complex scientific findings for decision-makers. This role offers a competitive salary and career growth opportunities in a commitment to inclusivity and equity.
Feb 13, 2026
Full time
A leading global research organization is seeking a Principal Research Scientist to lead impactful research initiatives on knowledge integrity and governance in online communities. This fully remote position requires a PhD and extensive experience in AI and research leadership. You will mentor teams and ensure high-quality output while translating complex scientific findings for decision-makers. This role offers a competitive salary and career growth opportunities in a commitment to inclusivity and equity.
Lead Data & AI Scientist Hybrid: 1-2 days per week in the office (London) Permanent £100k-£150k DOE + Bonus + Benefits Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI click apply for full job details
Feb 13, 2026
Full time
Lead Data & AI Scientist Hybrid: 1-2 days per week in the office (London) Permanent £100k-£150k DOE + Bonus + Benefits Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI click apply for full job details
Lead Data Scientist - eCommerce Leicester, UK (Hybrid) Up to £75,000 DOE iO Associates are aligned with one of the UK's most recognised and fast-scaling retail powerhouses, operating at significant scale within a highly data-driven eCommerce environment where analytics directly shapes commercial performance. This role will lead the design and deployment of advanced machine learning solutions focused
Feb 13, 2026
Full time
Lead Data Scientist - eCommerce Leicester, UK (Hybrid) Up to £75,000 DOE iO Associates are aligned with one of the UK's most recognised and fast-scaling retail powerhouses, operating at significant scale within a highly data-driven eCommerce environment where analytics directly shapes commercial performance. This role will lead the design and deployment of advanced machine learning solutions focused
Remote: Europe, UK, US (East Coast), & Canada The climate crisis is the defining challenge of our time-but it's also the greatest opportunity for innovation, and a challenge we're proud to take on. At Overstory, we're harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes. The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change. One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines. That's where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we're helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid. Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We're outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers-15 nationalities strong and growing. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good. Join us to help us build a more resilient world together. The role As an Engineering Manager, you will lead across several product teams managing up to 10 engineers (including Tech Leads). Our product teams are cross functional and will typically include: product managers, designers, engineers, data scientists and subject matter experts relating to the teams domain. You will be accountable for the technical and delivery outcomes of your area. You will challenge your teams to achieve ambition goals whilst providing a high level of support through growing engineering talent and creating a highly collaborative team based environment where people can do great work. Your primary focus will be on creating high performing teams and driving results through others. You will not be expected to spend significant amounts of time doing hands-on coding, however, you will be expected to dive deep technically when required and leverage your extensive experience as an engineer to drive good technical decisions and solutions. What you will do Enable our web engineering teams to become highly productive cross-functional teams that ship a high quality product on a daily basis. Grow the teams by attracting great talent from your network. Foster an inclusive and caring culture where everyone can do their best work. Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations. Be a strategic partner to product managers within your domains and ensure that we are making the correct technical decisions that balance short and long term goals. Ensure suitability of the architecture within your domains to enable longer term product goals Work closely with the other Product & Engineering leaders on strategy, technology and people. Including improving our engineering practices and introducing capabilities that can accelerate delivery or unlock new product opportunities. About You Passionate about climate Experience working in a high growth scaleup environment Product minded and able to demonstrate significant impact you have had on a business through the application of technology At least 2 years experience leading and managing engineers across multiple teams Experience working with the following (or similar) technologies: React/Typescript, Python/fastAPI, Postgres DB, Data pipelines) Ability to unblock your team by contributing to the code base a senior engineering level. How hands-on you'll be in this role will depend on team size and maturity Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar. Strong leadership skills with the ability to mentor and coach engineers at all levels. Excellent communication skills and ability to collaborate effectively in a cross-functional team environment. Passion for learning and staying updated with evolving technologies and industry trends. You are based in GMT/ CET/ EST time zone. Nice to haves Experience working with maps/imagery/geospatial domains is beneficial but not essential. If you don't meet all of the above yet feel you have lots to offer, please apply anyway. What you get To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis. Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around. Other benefits like a remote working budget, an educational budget and time to develop new skills. To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect. Equity and a competitive salary. About our team We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team. We work remotely from eleven different countries and we are looking for candidates that are also living and working in one of these countries: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, Switzerland, and Canada. We meet up once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration. Diversity & Inclusion We place enormous value on diversity and inclusion and strive to continually bring in people of all genders, races, creeds, ethnicities, abilities and backgrounds. We believe that the best ideas emerge when people with different perspectives and approaches work together on a problem. We're always looking to diversify our team further, but we're proud of the fact that four out of the nine people on our leadership team are female, 46% of the overall team are female and 20% of the team are people of color. Our team speaks fifteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, Danish and Korean. Our values Tackling the climate crisis is our greatest mission. We act with urgency. Our curiosity fuels our growth. We recognize that change is constant, and we find joy and power in exploration. We're rooted in diversity. Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences. We care for each other. We love the power of machines but we nurture each other as humans. Trust is fundamental. We assume the best in everyone, and we share ideas openly so that we have a positive impact. We are unable to hire candidates based on location in this post; please refer to the note on location in the posting for current restrictions.
Feb 13, 2026
Full time
Remote: Europe, UK, US (East Coast), & Canada The climate crisis is the defining challenge of our time-but it's also the greatest opportunity for innovation, and a challenge we're proud to take on. At Overstory, we're harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes. The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change. One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines. That's where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we're helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid. Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We're outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers-15 nationalities strong and growing. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good. Join us to help us build a more resilient world together. The role As an Engineering Manager, you will lead across several product teams managing up to 10 engineers (including Tech Leads). Our product teams are cross functional and will typically include: product managers, designers, engineers, data scientists and subject matter experts relating to the teams domain. You will be accountable for the technical and delivery outcomes of your area. You will challenge your teams to achieve ambition goals whilst providing a high level of support through growing engineering talent and creating a highly collaborative team based environment where people can do great work. Your primary focus will be on creating high performing teams and driving results through others. You will not be expected to spend significant amounts of time doing hands-on coding, however, you will be expected to dive deep technically when required and leverage your extensive experience as an engineer to drive good technical decisions and solutions. What you will do Enable our web engineering teams to become highly productive cross-functional teams that ship a high quality product on a daily basis. Grow the teams by attracting great talent from your network. Foster an inclusive and caring culture where everyone can do their best work. Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations. Be a strategic partner to product managers within your domains and ensure that we are making the correct technical decisions that balance short and long term goals. Ensure suitability of the architecture within your domains to enable longer term product goals Work closely with the other Product & Engineering leaders on strategy, technology and people. Including improving our engineering practices and introducing capabilities that can accelerate delivery or unlock new product opportunities. About You Passionate about climate Experience working in a high growth scaleup environment Product minded and able to demonstrate significant impact you have had on a business through the application of technology At least 2 years experience leading and managing engineers across multiple teams Experience working with the following (or similar) technologies: React/Typescript, Python/fastAPI, Postgres DB, Data pipelines) Ability to unblock your team by contributing to the code base a senior engineering level. How hands-on you'll be in this role will depend on team size and maturity Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar. Strong leadership skills with the ability to mentor and coach engineers at all levels. Excellent communication skills and ability to collaborate effectively in a cross-functional team environment. Passion for learning and staying updated with evolving technologies and industry trends. You are based in GMT/ CET/ EST time zone. Nice to haves Experience working with maps/imagery/geospatial domains is beneficial but not essential. If you don't meet all of the above yet feel you have lots to offer, please apply anyway. What you get To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis. Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around. Other benefits like a remote working budget, an educational budget and time to develop new skills. To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect. Equity and a competitive salary. About our team We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team. We work remotely from eleven different countries and we are looking for candidates that are also living and working in one of these countries: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, Switzerland, and Canada. We meet up once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration. Diversity & Inclusion We place enormous value on diversity and inclusion and strive to continually bring in people of all genders, races, creeds, ethnicities, abilities and backgrounds. We believe that the best ideas emerge when people with different perspectives and approaches work together on a problem. We're always looking to diversify our team further, but we're proud of the fact that four out of the nine people on our leadership team are female, 46% of the overall team are female and 20% of the team are people of color. Our team speaks fifteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, Danish and Korean. Our values Tackling the climate crisis is our greatest mission. We act with urgency. Our curiosity fuels our growth. We recognize that change is constant, and we find joy and power in exploration. We're rooted in diversity. Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences. We care for each other. We love the power of machines but we nurture each other as humans. Trust is fundamental. We assume the best in everyone, and we share ideas openly so that we have a positive impact. We are unable to hire candidates based on location in this post; please refer to the note on location in the posting for current restrictions.
At Reach Industries, we believe that scientists are solving some of the world's most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a wide range of life science industries, including in biotech and pharma. We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We've already shipped a first version of the Lumi platform and we've received excellent feedback from early customers. We are now looking for a Multimodal Data Capture Manager to take full ownership of how data is sourced, captured, processed, and delivered across the organisation. This role is critical to the success of Lumi and sits at the intersection of operations, data capture, and real-world environments. This is not a hands-on recording role. Instead, you will run the show: designing capture strategies, setting up capture environments, coordinating internal and external teams, sourcing or commissioning data when needed, and ensuring capture operations run reliably at scale. As a Multimodal Data Capture Manager, you will own the end-to-end data acquisition pipeline for Reach Industries's AI systems. You will work closely with AI engineers, product leaders, scientists, and external partners to ensure we are consistently capturing the right data, in the right way, at the right scale, and to the right quality standards. Your Remit Spans Strategy and planning for multimodal data capture Setup and management of capture environments Execution through internal teams and third parties Data organisation, governance, and quality control Continuous improvement of capture pipelines as Lumi evolves This is a highly autonomous role with real operational responsibility and influence over how Lumi scales. This is a highly autonomous role with real operational responsibility and influence over how Lumi's AI capabilities scale. Your Impact Data Capture Strategy & Planning Define and own the strategy for capturing multimodal data (audio, video, images), aligned with product and operational goals. Translate internal requirements into concrete capture specifications (modalities, environments, formats, volumes, quality thresholds). Decide when data should be captured internally, commissioned externally, or sourced via partners or third party providers. Capture Environment Setup & Operations Design and run data capture programmes across labs, customer sites, pilots, and internal environments. Identify, secure, and organise capture spaces, including studios, labs, offices, or temporary setups. Oversee setup of capture environments, including equipment, layouts, and workflows. Coordinate and manage the people doing the capture, including internal teams, contractors, partners, and customers. Build repeatable, well documented processes that allow data capture to scale without chaos. Data Pipeline Ownership Own the pipeline from raw data capture through storage, validation, and delivery to downstream teams. Work with engineering to ensure data is traceable, accessible, and well structured. Define and enforce quality checks to ensure captured data meets agreed standards. Third Party & Vendor Management Source, onboard, and manage external data capture partners and vendors. Monitor and manage cost, throughput, and quality, to the highest possible standard. Continuously evaluate buy vs build vs partner approaches to data capture. Cross Functional Collaboration & Compliance Work closely with scientists and domain experts to ensure captured data reflects real world lab behaviour. Support compliance, security, and privacy requirements (e.g. GDPR) across all capture workflows. Ensure appropriate consent and usage rights are in place for all captured data. Measurement & Continuous Improvement Define KPIs for capture quality, coverage, cost, latency, and reusability. Identify bottlenecks and inefficiencies in capture operations and resolve them. Continuously evolve capture methods as Lumi expands into new domains and use cases. Your Experience We're more interested in evidence of ownership and execution than a perfect CV, but you'll likely have many of the following: Experience owning or running large scale data capture or data acquisition operations, particularly involving audio and/or visual data. Proven ability to set up and manage physical or remote capture environments. Experience coordinating internal teams, contractors, or external partners. Strong operational mindset with the ability to design processes and make them work in practice. Comfort operating across technical, scientific, and operational domains. Strong organisational skills and attention to detail, without losing sight of the bigger picture. Excellent communication skills and confidence working with senior stakeholders. Experience with data governance, compliance, or regulated environments is a plus. Background in media operations, AV production, lab operations, or data operations is highly desirable. This role is Operationally critical Highly autonomous Foundational to how Lumi scales A chance to build systems and processes from the ground up This role is not A passive project coordinator A purely academic or research position An AI or machine learning engineering role A role limited to spreadsheets and vendor emails Benefits Competitive salary depending on applicant experience and skill level. Stock Options We want our team to be a part of our success and offer all permanent team members stock options Holiday 27 days + Bank Holidays + Birthday off + Company closure between Christmas and New Year Pension Contribution 8% from us and 1% from our employees BUPA Private Healthcare for you and your family Flexible working with an 8am 10am start and 4 6pm finish Enhanced Maternity Leave Available to employees with 6+ months tenure, Reach Industries pays 100% of your salary for the first 26 weeks of your maternity leave. The next 13 weeks is paid at 50% of your base salary Growth & Development Allocated annual budget for conferences, training courses and other materials Hybrid working, with time in our Bristol HQ when required Celebrating Diversity We encourage, support and celebrate diversity in the workplace and in all aspects of life. We are proud to be an equal opportunity employer who strives to ensure a balanced and measured approach to all aspects of employment. We want this to be the best place you've ever worked; a fun environment where you will positively influence the culture and have the freedom and confidence to do your best work with the respect and trust of your colleagues. Polite Recruiter Note We currently do not wish to work with any external recruiters or agencies, please do not contact us at this stage as it will jeopardise any opportunity of working together in the future.
Feb 13, 2026
Full time
At Reach Industries, we believe that scientists are solving some of the world's most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a wide range of life science industries, including in biotech and pharma. We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We've already shipped a first version of the Lumi platform and we've received excellent feedback from early customers. We are now looking for a Multimodal Data Capture Manager to take full ownership of how data is sourced, captured, processed, and delivered across the organisation. This role is critical to the success of Lumi and sits at the intersection of operations, data capture, and real-world environments. This is not a hands-on recording role. Instead, you will run the show: designing capture strategies, setting up capture environments, coordinating internal and external teams, sourcing or commissioning data when needed, and ensuring capture operations run reliably at scale. As a Multimodal Data Capture Manager, you will own the end-to-end data acquisition pipeline for Reach Industries's AI systems. You will work closely with AI engineers, product leaders, scientists, and external partners to ensure we are consistently capturing the right data, in the right way, at the right scale, and to the right quality standards. Your Remit Spans Strategy and planning for multimodal data capture Setup and management of capture environments Execution through internal teams and third parties Data organisation, governance, and quality control Continuous improvement of capture pipelines as Lumi evolves This is a highly autonomous role with real operational responsibility and influence over how Lumi scales. This is a highly autonomous role with real operational responsibility and influence over how Lumi's AI capabilities scale. Your Impact Data Capture Strategy & Planning Define and own the strategy for capturing multimodal data (audio, video, images), aligned with product and operational goals. Translate internal requirements into concrete capture specifications (modalities, environments, formats, volumes, quality thresholds). Decide when data should be captured internally, commissioned externally, or sourced via partners or third party providers. Capture Environment Setup & Operations Design and run data capture programmes across labs, customer sites, pilots, and internal environments. Identify, secure, and organise capture spaces, including studios, labs, offices, or temporary setups. Oversee setup of capture environments, including equipment, layouts, and workflows. Coordinate and manage the people doing the capture, including internal teams, contractors, partners, and customers. Build repeatable, well documented processes that allow data capture to scale without chaos. Data Pipeline Ownership Own the pipeline from raw data capture through storage, validation, and delivery to downstream teams. Work with engineering to ensure data is traceable, accessible, and well structured. Define and enforce quality checks to ensure captured data meets agreed standards. Third Party & Vendor Management Source, onboard, and manage external data capture partners and vendors. Monitor and manage cost, throughput, and quality, to the highest possible standard. Continuously evaluate buy vs build vs partner approaches to data capture. Cross Functional Collaboration & Compliance Work closely with scientists and domain experts to ensure captured data reflects real world lab behaviour. Support compliance, security, and privacy requirements (e.g. GDPR) across all capture workflows. Ensure appropriate consent and usage rights are in place for all captured data. Measurement & Continuous Improvement Define KPIs for capture quality, coverage, cost, latency, and reusability. Identify bottlenecks and inefficiencies in capture operations and resolve them. Continuously evolve capture methods as Lumi expands into new domains and use cases. Your Experience We're more interested in evidence of ownership and execution than a perfect CV, but you'll likely have many of the following: Experience owning or running large scale data capture or data acquisition operations, particularly involving audio and/or visual data. Proven ability to set up and manage physical or remote capture environments. Experience coordinating internal teams, contractors, or external partners. Strong operational mindset with the ability to design processes and make them work in practice. Comfort operating across technical, scientific, and operational domains. Strong organisational skills and attention to detail, without losing sight of the bigger picture. Excellent communication skills and confidence working with senior stakeholders. Experience with data governance, compliance, or regulated environments is a plus. Background in media operations, AV production, lab operations, or data operations is highly desirable. This role is Operationally critical Highly autonomous Foundational to how Lumi scales A chance to build systems and processes from the ground up This role is not A passive project coordinator A purely academic or research position An AI or machine learning engineering role A role limited to spreadsheets and vendor emails Benefits Competitive salary depending on applicant experience and skill level. Stock Options We want our team to be a part of our success and offer all permanent team members stock options Holiday 27 days + Bank Holidays + Birthday off + Company closure between Christmas and New Year Pension Contribution 8% from us and 1% from our employees BUPA Private Healthcare for you and your family Flexible working with an 8am 10am start and 4 6pm finish Enhanced Maternity Leave Available to employees with 6+ months tenure, Reach Industries pays 100% of your salary for the first 26 weeks of your maternity leave. The next 13 weeks is paid at 50% of your base salary Growth & Development Allocated annual budget for conferences, training courses and other materials Hybrid working, with time in our Bristol HQ when required Celebrating Diversity We encourage, support and celebrate diversity in the workplace and in all aspects of life. We are proud to be an equal opportunity employer who strives to ensure a balanced and measured approach to all aspects of employment. We want this to be the best place you've ever worked; a fun environment where you will positively influence the culture and have the freedom and confidence to do your best work with the respect and trust of your colleagues. Polite Recruiter Note We currently do not wish to work with any external recruiters or agencies, please do not contact us at this stage as it will jeopardise any opportunity of working together in the future.
