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Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn, Instagram, and our Blog. Meet the team behind this journey Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based translation models. This is a high-impact, hands-on role for a researcher who can own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production. Your central focus is how we blend data and shape model behaviour after pre-training. You will fuse high-value human expert data with synthetic data, and you will lead the effort to make our translation models steerable, following custom user instructions, rules, and context. You will work with model architectures at the scale of hundreds of billions of parameters. You will: Drive the development of translation models that are steerable conditioned on user preferences, rules and context. Drive hands-on research and development on post-training for our core translation models: supervised fine-tuning, knowledge distillation, preference optimisation, and reinforcement learning tuned to translation quality. Build reward models and evaluator models for translation, including rubric- and reference-based grading, and investigate and mitigate reward hacking and quality-estimation failure modes. Drive an agenda toward models that ingest multimodal content and context to increase translation quality. Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimisation, and production deployment, working closely with engineering to ship into real-time systems at scale. Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production. Mentor researchers and engineers, promote hands-on collaboration, and raise the bar for model quality. Qualities we look for Proven experience making large models steerable and instruction-following by identifying the most effective method to instill a given behaviour, drawing from instruction tuning, latent space methods, steering vectors, and/or constrained encoding and decoding methods. Deep, hands on expertise in LLM post-training (SFT, DPO), knowledge distillation (teacher student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modelling). Strong data centric instincts for building synthetic data and preference data pipelines, LLM as judge generation, data curation and filtering, and reasoning about data mixtures and ablations. Experience designing evaluation and reward signals using automatic metrics, LLM as judge evaluation, non verifiable rewards, and human in the loop evaluation. A hands on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real world quality. Ownership of a substantial research direction with strong execution, and experience mentoring others on a fast moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine tuning and training large models at scale, including distributed/ multi node training (e.g. FSDP, DeepSpeed, or Megatron style frameworks) and efficient training techniques. Experience fine tuning existing reasoning models for specific tasks and behaviours without degrading their reasoning capabilities. Experience with machine translation, multilingual NLP, or language quality estimation. Familiarity with inference and serving at scale (e.g. via vLLM, SGLang, TensorRT LLM, etc) and long context modelling. Publications at top tier venues. What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future. Regular in person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new joiner onboardings, to company wide events that bring us all together-literally. Monthly full day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. We can't wait to meet you! We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.

Work with usOur team are passionate in the pursuit of excellence and in pushing the boundaries of cancer therapy and Autoimmune disease to deliver life-changing treatments to patients.Whilst working at Autolus you will enjoy a flexible, diverse and dynamic working environment which actively promotes creativity, leadership and teamwork - together we are ONE Autolus.Job Description:Job Title: QC Analytical ScientistReports to Manager/Senior Manager, QC AnalyticalDepartment: Quality ControlHours: Shift based: Sunday - Wednesday/Wednesday to Saturday(0600AM to 1545PM /12:15PM to 22:00PM - 2 weekly shift rotation)Location: StevenageAbout AutolusAutolus is a biopharmaceutical company, advancing innovative therapies at both clinical and commercial stages of development, focused on next-generation, programmed T cell therapies for the treatment of cancer. Using a broad suite of proprietary and modular T cell programming technologies, the company is engineering precisely targeted, controlled, and highly active T cell therapies designed to better recognize cancer cells, break down their defence mechanisms, and eliminate these cells. Autolus has a pipeline of product candidates in development for the treatment of haematological malignancies, solid tumours, and autoimmune diseases.Why AutolusOur team is passionate in the pursuit of excellence and in pushing the boundaries of cancer therapy and autoimmune diseases to deliver life-changing treatments to patients. Whilst working at Autolus you will enjoy a flexible, diverse, and dynamic working environment which actively promotes creativity, leadership and teamwork. In addition to this Autolus is proud to offer a competitive salary, performance related bonus as well as a comprehensive benefits package.Our PromiseAutolus is developing complex, breakthrough therapies for a globally diverse market and equally recognises that diversity amongst our people is critical to our mission. As we draw on our differences, what we've experienced, and how we work, we celebrate diversity and are committed to creating an inclusive environment for all employees.Role SummaryQuality Control Analytical manages and executes all routine testing using validated analytical methods and following prescribed testing plans. Test results allow to monitor and drive the manufacturing processes, release the product or material, determine shelf life of the product or material and assess potency, quantity, identity and safety against defined specifications.The role of QC Scientist (Analytical) is predominately lab based and involves performing in process and release testing, leading minor quality events, identifying and implementing continuous improvement initiatives, executing validation/tech transfer protocols.Key ResponsibilitiesExecution of analytical tests - in process drug product samples (ddPCR based methods, Sterility Testing, Endotoxin, Flow Cytometry)Execution of analytical tests - release drug product samples (ddPCR based methods, Sterility Testing, Endotoxin, Flow Cytometry)Laboratory housekeeping - maintenance of laboratory in inspection ready stateReagent preparation (e.g., preparation of media, aliquots, controls)Management of QC materials (e.g., media preparation, aliquoting, stock management)Operation and maintenance of analytical instruments in accordance to governing SOPsParticipation in execution of qualification scripts (IOPQ)Conducting root cause analysis using appropriate toolsInitiation and investigation of deviation, laboratory investigation, change control or CAPA as requiredPerforming impact assessment for minor deviations and minor change controlsLeading internal QC investigations forming part of deviation, laboratory investigationDefining and implementing effective CAPA within QCOwnership of minor internal QC change controlsData entry / collation for tracking and trending purposesReview of QC recordsPreparation of calculating spreadsheets following guidelinesArchiving of GMP recordsCompletion of GMP documentation in accordance with ALCOA/data integrity requirementsDesigning GMP documentation (e.g., logbooks, forms)Managing GMP documentation (logbooks, worksheets, documentation trackers)Timely completion of own quality eventsDesigning worksheetsPreparation of high quality SOPs using approved templates (general QC procedures)Preparation of certificate of analysisParticipation in tech transfer, validation / verification of analytical methodsAny other duties as required following consultation with the post holderWork in adherence to local Health and Safety policies and SOPsDemonstrated skills and competenciesE - EssentialP - PreferredExperienceMinimum 5 years' experience within a QC laboratory, without BSc/MSc degree in life sciencesMinimum 2 years' experience within a QC laboratory, with BSc/MSc degree in life sciencesNo minimum industry experience, with a PhD in life sciences or relevant subjectQualificationsBSc/MSc degree in life sciences or significant relevant industry experienceSkills/Specialist knowledgeSoft skills (effective written and spoken communication, organisation, teamwork) (E)Ability to precisely follow instructions and procedures (E)Open to working shifts (E)Attention to detail (E)Meet requirements to work in cleanroom environment (E)Good technical writing skills (P)Detailed understanding of the assay or test principles, including pharmacopeial monographs and regulatory guidance. E Good knowledge of statistics (calculation of mean, median, standard deviation, %CV), interpretation of statistical analysis results (e.g., t-test, confidence intervals) (E)Reporting of numerical values - significant figures, decimal places, rounding in the context of generating and reporting results (E)Understanding of method performance parameters (e.g., precision, accuracy, linearity, range, LOQ, LOD) (P)Understanding of analytical method validation, verification and tech transfer process (P)Familiarity with relevant regulations governing Quality Control function (e.g., EudraLex, ICH, FDA CFR) (P)Working knowledge of Quality Management System records (e.g., deviation, CAPA, laboratory investigation, change control) (P)Working knowledge of aseptic technique and cell culture methodology (E)Good understanding of principles of analytical instrumentation used in the QC laboratory (E)Experience in LIMS (P)Autolus Core CompetenciesFocus on Results: Works to meet business goals set by management and leadersBuilds Trust and Relationships: Ensures trust with internal and external partners by delivering on commitmentsResilience: Has the capacity to recover quickly from difficulties; toughnessCommunicates and Collaborates: Builds partnerships and works collaboratively with others to meet objectivesAutolus is committed to the protection of the personal information that we collect & process and we are fully compliant with General Data Protection Regulations (GDPR)Autolus is committed to providing an inclusive and fair workplace for all. We are an equal opportunity employer and do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic. We also provide reasonable accommodations where appropriate.Autolus is committed to the protection of the personal information that we collect & process and we are fully compliant with General Data Protection Regulations (GDPR).Autolus is committed to providing an inclusive and fair workplace for all. We are an equal opportunity employer and do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic. We also provide reasonable accommodations throughout the recruitment process.Autolus' success is driven by equality and inclusion; we believe all voices are of equal value and must be heard. Whilst operating with focus and integrity, we are committed to improving diversity and inclusion within our business and our industry.

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in; Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONISIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus 28 days annual leave, plus bank holidays and volunteering days Life Insurance Wellness programs and support Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period:5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time

Join a team that's transforming drug development At CatSci, we partner with our clients to solve complex scientific problems and accelerate the delivery of life changing medicines. We're now looking for a Scientist/Senior Scientist - Crystallisation & Solid State to join our scientific team and play a key role in delivering high quality, client focused science. If you're a hands on scientist who enjoys variety, collaboration, and seeing your work make a real impact, we'd love to hear from you. We are especially keen to hear from people with industrial experience in a manufacturing environment. About CatSci Founded in 2010 by former AstraZeneca scientists, we began as a catalyst screening specialist before evolving into a fully integrated innovation partner for complex synthetic medicines. What started in a single lab in Cardiff has expanded across 14 state-of-the art laboratories across the UK and Europe. Over the past decade, we've expanded into process chemistry, analytical development, oligonucleotides, peptides, and today, CatSci stands as a trusted drug development partner to more than 100 biotechs and global pharma companies. We pride ourselves on creating an environment where all our employees can flourish. As part of our team, you'll thrive on a culture of continuous improvement and always be encouraged to be the best version of yourself. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. The Role As a Scientist/Senior Scientist at CatSci, you'll work collaboratively on a range of client programmes, applying your technical expertise to solve challenging problems across drug discovery and development. You'll deliver high quality experimental work, contribute to project success, and support the development of colleagues within a supportive, inclusive environment. This is an excellent opportunity for an experienced materials scientist ready to take the next step in responsibility while remaining close to the science. What you'll be doing Designing, executing, and interpreting complex experimental studies in materials science, across our customer project portfolio Using chemical engineering principles, model-based design of experiments and control approaches to design and optimise crystallisation, isolation and drying operations for pharmaceutical materials Using crystallisation and solid-state expertise to design and execute experimental plans in Salt, Polymorph, and Co-crystal screening projects Supporting continuous improvement of workflows and technologies that develop CatSci's solid state capability Use of thermal, spectroscopic, microscopy and particle characterisation methods Working effectively across functional boundaries and with our client teams to achieve project needs and share opportunities and challenges Taking personal responsibility for the quality, integrity, communication and delivery of crystallisation science on your projects, and maintaining strong operational relationships with customers About you You'll bring strong scientific expertise, curiosity, and a pragmatic, solutions focused mindset. You'll enjoy working across projects and collaborating with others to deliver real value for clients. The ideal candidate will have: PhD (or BSc/Masters plus equivalent industrial experience to PhD) in Chemical Engineering, Chemistry, Pharmacy, or Pharmaceutical Science, with a technical focus on pharmaceutical crystallisation and polymorphism Additional industrial experience beyond PhD, ideally in a manufacturing-oriented environment State of the art knowledge of crystallisation methodologies relevant to drug substances Knowledge and understanding of the implications of Drug Substance manufacture on Drug Product development and manufacturing Proven history of delivering projects on time and to a high level of scientific rigour Ability to deliver a high and safe standard of laboratory work whilst simultaneously delivering value to multiple projects Familiarity with process analytical technologies in the context of crystallisation process development (desired) Knowledge of data analytics and data visualisation tools (desired) Person Specification Self motivated and results oriented with a clear personal focus on delivering demanding project objectives Ability to thoroughly assess scientific problems/challenges and propose multiple solutions with clear scientific rationale, and to prioritise the proposed solutions Good communicator, using written and verbal media, for internal and external collaboration Enthusiastic and willing to learn; keen for challenging new experiences and scientific accountability Works well both independently and collaboratively with others to ensure collective goals are achieved Demonstrates a genuine commitment to the time and effort needed to develop oneself and others Understands customers' needs and uses that insight to provide value Why join CatSci? Work on varied, impactful client projects at the cutting edge of drug development A supportive, inclusive culture where people can thrive Genuine investment in your learning, development, and career progression A strong wellbeing offer and enhanced family friendly benefits CatSci is proud to be aDisability Confident Employer,Living Wage Employer, and an inclusive workplace where everyone is encouraged to be their authentic self. Benefits Competitive salary: £31,370- £50,000 per annum (depending on experience) 25 days annual leave+ 8 days bank holiday 2 volunteer/charity days per year Long service awards Annual bonus Company pension Wellbeing Program including EAP and financial support options Private medical insurance Death in service cover Learning and Development opportunities and more great benefits! As an equal opportunities employer, we will provide reasonable support to disabled applicants throughout the recruitment process. If you require any adjustments in order to attend/ perform in the interview, please do not hesitate to let us know.

Head of Patient Science, Instrument Development & Thought LeadershipApplylocations: Reading, Berkshire, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R Join us on our exciting journey! IQVIATM is The Human Data Science CompanyTM, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, Technology, analytics and human ingenuity to drive healthcare forward. The Instrument Development and Thought Leadership Segment Instrument Development: This team is responsible for the development of new clinical outcome instruments, expansion and enhancement of existing instruments, with a focus on specific priority therapeutic area. Collaborative &Y. Advisory: Given the team's expertise in instrument development and client consulting and delivery, team members support where appropriate client consulting engagement with the PACT team and collaborate with therapeutics centers of excellence. Thought leadership is the final area of focus: This includes white papers, manuscripts/publications, podium presentations; posters and books. Coordination with the PACT team, clients, industry thought leaders, regulators, patient advocacy groups and other stakeholders is a critical component of our thought leadership. The role The Head of Patient and Instrument Science and Thought Leadership leads the strategic, scientific and regulatory development of Clinical Outcomes Assessments (COAs) and Composite Measures. COA's include: Patient-Centered Research patient-reported outcomes (PROs), observer-reported outcomes (ObsROs), and clinician-reported outcomes (ClinROs). These instruments are used by BioPharmaceutical and Medical Device organization in clinical trials and real-world studies and by Health Care Physicians in day-today clinical practice.This individual is responsible for ensuring that the patient perspective is rigorously measured and incorporated into drug development, measurement endpoint strategy, regulatory submissions, and commercialization using behavioral and measurement science. Responsibilities: Strategic Leadership: Define instrument development strategies across therapeutic areas, ensuring alignment with Instrument Licensing & Services, R&DS Therapeutic Area Priorities and R&DS goals, FDA/EMA guidance on patient-focused drug development (PFDD), and HTA requirements. Scientific Excellence: Lead the development, validation, and implementation of new and existing COA instruments, including psychometric evaluation, qualitative research, and endpoint definition. Support the Scientific & Strategic Research Consulting team in their client facing COA endpoint strategy projects as needed. Regulatory Engagement: Lead interactions with regulatory bodies (FDA, EMA) regarding newly developed COAs designed to replace older declining in relevance COAs. Methodological Expertise: Direct the use of advanced methodologies, with a heavy focus on Domains of Health, including Digital Measurement Plans, eCOA (electronic COA) strategies, and Patient Experience Data (PED) analytics. Cross-functional Collaboration: Partner with Instrument Licensing & Services (IQVIA Quality Metric), Strategic & Scientific Research, R&DS Design & Delivery Innovation including the TSSU/Therapeutic Area COE, clinical operations, biometrics, regulatory, and commercial teams build, expand and enhance COA utility in measuring meaningful change in health. Team Leadership: Mentor and build a team of experienced and burgeoning scientists, guiding them in COA methodologies and scientific best practices. Participate in acquisition science and staff integration as relates to COA assets and scientific SME's. External Representation: Act as a recognized expert in the field, representing the company at scientific conferences (e.g., ISPOR, ISOQOL, CPATH, etc) and in industry consortia. Required Qualifications & Skills - our ideal candidate will have: Education: Advanced degree (PhD, Master's, or equivalent) in Psychology, Behavioral measurement, Health Services Research, Epidemiology, Pharmacy, Public Health, or a related discipline. Experience: 10+ years of professional experience in COA/outcomes research within pharmaceutical, CRO, or consultancy settings, with a strong track record of publications. Technical Knowledge: Deep understanding of COA methodology, psychometrics, FDA/EMA regulatory guidelines on patient-focused drug development, and qualitative research methods. Communication: Excellent scientific writing and verbal skills, with the ability to communicate complex data to regulatory bodies and internal senior leadership. Influencing & Relationship Development: Proven influencing skills at the senior management level, have the presence and credibility to engage and influence senior leaders across multi-geographies and functions. Demonstrated success building effective relationships with a broad spectrum of global stakeholders (e.g., senior leaders, business and technical teams, GTM, and customers) Leadership: Proven experience in managing high-performing teams, building talent, and influencing cross-functional stakeholders. Promotes information sharing and demonstrates flexibility to work in a fast paced, dynamic environment and effectively manage change.We know that meaningful results require not only the right approach but also the right people . Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIATM. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Select how often (in days) to receive an alert: Create Alert Candidates must provide work authorization for the respective country. Applied data and statistical skills, along with the ability to communicate insights clearly to nontechnical audiences. Interview to be held Week commencing 21st September About the Role: The Senior Data and Insight Scientist provide analytical leadership across Lloyd's Register Foundation, ensuring that data and evidence are robust, meaningful, and usable for decision making and impact. The role bridges deep technical expertise with clear insight translation, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre. This is a hybrid role combining advanced data analysis, applied statistics, evidence production, and high-quality communication. It plays a central role in strengthening the Foundation's evidence led approach to safety. About the Global Safety Evidence Centre Lloyd's Register Foundation's mission to engineer a safer world is underpinned by the use of robust and credible evidence to better understand the nature and scale of global safety challenges, and what is needed to address them. While we know this evidence is critical to informing decision-making and improving safety, it often does not yet exist or is not easily accessible. Responding to this need, the Foundation has established GSEC as a hub for anyone who needs to know 'what works' to make people safer, collating the best safety evidence from our partners and other sources and communicating it in an understandable and actionable form. GSEC also hosts the Foundation's own evidence outputs, such as our flagship World Risk Poll. What we offer you Full time - Permanent role Hybrid and flexible work schedules with an appreciation for work-life balance Working in a global company with the ability to work with different cultures and diverse people Competitive benefits package including 26 days holiday pro rata per annum, plus flexible bank holidays, buy/sell holidays, bonus scheme, company funded PMI, EAP, discount scheme & opportunities for learning & development (including financially supported part-time study) The opportunity to work for an organization that has a clear sense of purpose, is values-driven and helps colleagues to develop professionally and personally through our range of people development programs. The Role We do not expect applicants to demonstrate all of the specific skills outlined, and we are interested in hearing what you can bring to the role. 1. Analytical Leadership Perform high quality quantitative analysis across complex and large-scale datasets Apply appropriate, rigorous, and transparent analytical methods Ensure strong quality assurance across data, code, and outputs Develop reproducible analytical workflows that can be audited and reused 2. Insight & Visual Communication Translate technical findings into clear, compelling insight for non-technical audiences Design and maintain: Dashboards and data products Contribute analytical content to reports, briefings, and publications Provide analytical leadership to major initiatives, including: World Risk Poll Global Safety Evidence Centre Work with programme teams to: Shape research questions Interpret findings Apply evidence in practice Support monitoring, evaluation, and learning (MEL) through effective use of data and insight Work collaboratively with internal teams, research partners, and advisory groups Present insight to senior leadership, Board members, and external stakeholders Act as a trusted technical adviser within multidisciplinary teams 5. Capability Building & Innovation Improve analytical tools, methods, and workflows across the organisation Reproducibility Accessibility Mentor colleagues and contribute to a strong analytical culture Support the organisation's shift toward data informed decision-making What you bring We do not expect applicants to demonstrate all of the specific skills outlined, and we are interested in hearing what you can bring to the role. Technical and Data Solid data analysis and transformation skills, using modern analysis languages (SQL, Python, R) within a cloud-based data environment Experience working with both exploratory (notebook-based) and production code Experience with data engineering principles and cloud based data architecture Statistical and Analytical Solid applied statistics, including: Hypothesis testing Regression analysis Confidence intervals and effect sizes Experience working with complex survey data, including: Cross-national comparison Ability to develop reproducible, auditable analytical workflows Strong numerical judgement and attention to data quality Communication Effective verbal communication, including presenting to senior and external audiences Clear written communication, translating analysis into clear reports and narratives Ability to: Translate ambiguous stakeholder questions into analytical problems Translate findings into actionable insight Ways of Working Senior individual contributor mindset with end-to-end ownership of work Effective stakeholder management across a complex organisation Experience working with international partners and multidisciplinary teams Technical and Systems Familiarity with: GCP / BigQuery dbt or Dataform Git/GitHub workflows Experience integrating data from multiple systems (e.g. CRM, finance, web analytics) Experience using BI tools (e.g. Looker Studio, Tableau, Power BI) Advanced and Emerging Experience applying AI/LLM tools within analytical workflows Experience developing internal analytical tools (e.g. Shiny or equivalent) Working knowledge of web analytics data (e.g. GA4) Statistical / Domain Background in survey methodology, social statistics, or policy-relevant analysis Experience working with international datasets Use of machine learning techniques where appropriate Leadership and Delivery Experience mentoring or developing others Experience working with research or communications partners Ability to support organisational change toward stronger evidence use Experience in building networks, relationships, and ultimately and partnerships with relevant organisations Experience of championing data sharing, data collection, data use internally and externally Design and data storytelling Experience in static design work to ensure data led reports are accurate and accessible Experience in dynamic web visualisation as a narrative tool or as a lead generator Evidence of engaging mixed methods storytelling Role Impact This role is central to the Foundation's credibility, influence, and effectiveness. By ensuring that evidence is: Technically robust Clearly communicated Decision ready the Senior Data and Insight Scientist enables the organisation to: Strengthen organisational impact Contribute to global conversations on safety and wellbeing About us Lloyd's Register Foundation is an independent global charity with a unique structure and an important mission: engineering a safer world. We reduce risk to people and property and enhance the safety of the critical infrastructure that modern society relies upon. We do this by investing in high-quality research, innovation, education and skills development, and by convening stakeholders to form ambitious partnerships and coalitions. Our unique structure comes from the fact that we own a significant trading company, Lloyd's Register (LR). We share the same mission and work together to make the world a safer place. Be a part of Lloyd's Register is wholly owned by the Lloyd's Register Foundation, a politically and financially independent global charity that aims to engineer a safer world by promoting safety and education. For a thriving ocean economy, Lloyd's Register colleagues and Lloyd's Register Foundation work together to fund research, foster industry collaboration, and develop action-oriented solutions to make the world a safer place. Want to apply We hire people with a wide variety of skills, experience and backgrounds. This includes people with disability, women, people identifying as LGBTIQIA+, culturally and linguistically diverse people, careers and other varied groups. We are committed to making all stages of our recruitment process accessible to all candidates. Please let us know if you need any assistance or reasonable adjustments throughout your application and we will do everything we possibly can to support you. This position is available on a full-time basis, however, the Foundation is open to discussing applications for this role with flexible and part time working options. If you don't tick every box in these ads, please don't rule yourself out. We focus on hiring people who share our goal of working together to make the world a safer place. We care, we share, we do the right thing. If you have further questions about this role, please contact us at and we will respond to you as soon as possible. . click apply for full job details

Guardian has a single ambition, for every family to have protection that they truly believe in. We aim to achieve that by challenging the market and offering a 'better' way for Financial Advisers and their clients. In line with our brand promise Life. Made Better., we plan to make life better for everyone. You'll be joining us at a time of growth, with lots of opportunities to increase your knowledge and further your career. You'll be part of an innovative business, with a team of people dedicated to doing the right thing for our customers. A team where you can make a real difference and be part of a culture that encourages you to constantly challenge the norm and put our customers at the heart of every decision. What you'll be doing As part of Guardian's Pricing & Reinsurance team, you will play a leading role in shaping pricing decisions and performance across the business. Reporting to the Head of Pricing & Reinsurance, you will combine pricing expertise, advanced analytics, machine learning and AI-enabled automation to deliver actionable insights, optimise pricing outcomes, improve profitability and customer value, and strengthen Guardian's competitive position in the UK protection market. Working closely with colleagues across Distribution, Proposition, Operations, Data and Technology teams, you will lead the development of Guardian's pricing science capability. You will develop and enhance pricing models, deliver commercial insights, identify opportunities to improve pricing sophistication and automation, and support the evolution of next-generation pricing solutions while maintaining robust governance and controls. Key responsibilities Pricing Strategy & Delivery Lead the development and optimisation of pricing across Guardian's product portfolio. Own the end-to-end repricing process, balancing competitiveness, customer outcomes and profitable growth. Maintain and enhance pricing methodologies, assumptions and segmentation frameworks. Provide pricing recommendations that support commercial objectives and strategic priorities. Pricing Science & Analytics Lead the development of pricing data science capability within the Pricing & Reinsurance team. Own and develop Guardian's pricing models, ensuring they remain robust, controlled and fit for purpose. Apply advanced analytics, machine learning and predictive modelling to improve pricing performance. Use internal and external data to identify pricing opportunities, improve segmentation and support growth. Portfolio Performance & Commercial Insight Monitor portfolio and pricing performance, identifying trends, risks and opportunities. Develop insight into customer behaviour, price elasticity and market dynamics to inform pricing decisions. Design and maintain monitoring frameworks to track performance against expectations. Translate complex analysis into clear commercial recommendations for senior stakeholders. Pricing Transformation & Automation Drive the automation of pricing analysis, monitoring and reporting processes. Lead the adoption of AI-enabled pricing capabilities and support the Pricing Transformation programme. Identify new data sources, modelling techniques and automation opportunities to enhance pricing sophistication. Partner with Data and Technology teams to build scalable pricing capabilities. Stakeholder Management & Governance Collaborate with Distribution, Proposition, Operations, Data and Technology teams to deliver pricing outcomes. Ensure compliance with actuarial standards, Consumer Duty requirements and internal governance frameworks. Maintain robust controls, documentation and oversight of pricing models, AI outputs and decision-making processes. Knowledge, Skills & Experience Significant experience in pricing, data science, actuarial, analytics or a similar commercially focused role within insurance or financial services. Strong pricing and analytical expertise, ideally within the UK protection or life insurance market. Advanced modelling and programming capability, including experience with R, Python, SQL, machine learning and predictive analytics. Proven ability to translate complex analytical insights into commercial recommendations and pricing decisions. Experience developing pricing, risk, propensity or optimisation models and working with large, complex datasets. Strong stakeholder management and communication skills, with experience influencing senior decision-makers. Track record of delivering analytical solutions, automation or transformation initiatives that improve business outcomes. Degree-qualified in a quantitative discipline (e.g. Data Science, Statistics, Mathematics, Actuarial Science, Economics or Computer Science); actuarial qualification or equivalent professional experience would be advantageous.

We're looking for a Principal Computational Scientist/Director to help translate our foundation models into impactful, real-world discovery workflows. In this role, you'll provide scientific leadership across model evaluation and applied use cases, ensuring our work stays grounded in the most relevant challenges in drug development and translational research. You'll join as a senior individual contributor with leadership and strategy experience at a point where the the team scales. You will act as a key scientific partner to our research team, mentor and support junior colleagues, and work closely with Product and Business Development to turn cutting-edge biology + ML into deliverables that matter for customers. PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field, with a strong focus on Transcriptomics OR Genomics + ML and 2+ years of industry (non-academic) experience OR MSc in a relevant field and 5+ years of industry experience applying ML to Transcriptomics OR Genomics problems Strong understanding of ML/AI methods for biological data (e.g., transformers, VAEs, diffusion models, classical ML) Hands on experience with modern ML frameworks such as PyTorch (or equivalent) Leadership experience with small teams to work towards defined roadmaps or projects Excellent communication skills - able to translate complex science into clear, actionable insights for technical and non-technical stakeholders Comfortable in a fast-paced, high-iteration environment, moving quickly from prototype experiment insight Strong passion for building at the intersection of biology and machine learning

The Position Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech's Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist in Quantum Chemistry. You will combine machine learning methods and quantum chemistry to build fast, accurate models that power small-molecule drug discovery. You will work with world class computational and experimental scientists and leverage proprietary datasets and state of the art compute. The Opportunity Create cutting edge solutions that combine quantum chemistry and machine learning algorithm development to model small molecule energetics and protein-ligand interactions, from conformation and reactivity to binding affinity and free energy. Build synthetic datasets using quantum mechanics and related methods to shape novel research directions in ML. Develop deployable pipelines that are robust, scalable and reproducible, and feed directly into molecular design tools used across Roche. Drive scientific impact through publications, open source releases, and talks at internal and external conferences. Collaborate widely with world class computational and experimental researchers at Roche and with academic partners. Who you are You bring deep machine learning expertise with a strong theoretical foundation in linear algebra, probability and optimization, and you build models from first principles. You have hands on quantum chemistry experience and fluency in toolkits such as Psi4, PySCF and ORCA, as well as semi empirical methods like xTB. You are fluent in Python and modern ML frameworks such as PyTorch or JAX. You hold a PhD or equivalent research depth in machine learning, computational chemistry, chemical engineering or a related quantitative field such as physics or statistics. You have a record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab). Preferred Experience in scientific software development, scaling ML training, and applying models to drug discovery. Experience generating large scale synthetic datasets. Location & Travel Requirements This position must be based in either Welwyn Garden City in the United Kingdom (preferred) or Basel, Switzerland. Although this can be a hybrid role, there is an expectation of ongoing and sustained site presence, in compliance with local company site requirements. Equal Opportunity Employer The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

Bioinformatics Scientist/Engineer - DRAGEN ArrayApplylocations: England - Cambridge: Germany - Remote: Germany - Berlin: England - Hinxton: England - Remotetime type: Full timeposted on: Posted Todayjob requisition id: 43181-JOBWhat if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Job Title: Bioinformatics Scientist/Engineer - DRAGEN Array Location: UK or Germany preferred Job Type: Full-time Experience Level: SeniorAre you passionate about developing innovative bioinformatics solutions that advance precision medicine? Do you enjoy solving complex scientific challenges through algorithm development, statistical modelling, and software engineering? Do you want to work alongside world-class scientists and engineers on technologies that have a meaningful impact on human health? If so, you could be the perfect fit for our Bioinformatics Scientist / Engineer role within the DRAGEN Array team. Position Summary The DRAGEN Array team at Illumina is seeking a bioinformatics professional to drive innovation across algorithm development, statistical modelling, and production-quality software engineering for genotyping and genetics products. This role supports the development of new solutions that advance translational research and precision medicine, delivering scalable computational workflows and analytical capabilities for array and next-generation sequencing (NGS) applications.Working closely with wet-lab scientists, bioinformaticians, product teams, and software engineers, you will develop and implement robust bioinformatics solutions, integrating established community tools alongside novel methods. You will also contribute to software engineering best practices, including testing automation, CI/CD, observability, and software lifecycle management, helping to ensure DRAGEN Array software is reliable, scalable, and ready for production deployment across local and cloud-based environments. What You'll Do Lead the design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine learning methods to large scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation). Design and develop production grade software that automates analytical workflows and enables robust analysis at scale. Contribute to and help shape software testing automation, including unit, integration, and regression testing of bioinformatics pipelines. Define and maintain CI/CD workflows to support continuous integration, validation, and reliable delivery of DRAGEN Array software. Implement and evolve telemetry, logging, and monitoring to improve observability, diagnostics, and operational robustness. Execute and improve Software Lifecycle (SLC) practices, including requirements traceability, design documentation, verification, and validation. Use tools such as JAMA (requirements and traceability) and JIRA (planning and execution) to support structured, high quality software development. Collaborate closely with wet lab scientists, product management, and engineering teams to translate scientific needs into validated computational solutions. For staff level, provide mentorship and technical guidance to other scientists and engineers, and contribute to best practices in algorithm design, software engineering, and data analysis. Why YouYou will bring deep expertise in bioinformatics algorithm development, statistical modelling, and computational genomics, with experience developing production-quality software within scientific or commercial environments. You thrive working across multidisciplinary teams and are passionate about translating complex genomic data into impactful solutions that advance translational research and precision medicine.You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing technical leadership, influencing scientific direction, and mentoring colleagues will be highly valued. You'll also bring: PhD in Bioinformatics, Computational Biology, Computer Science, Biostatistics, Bioengineering, or a related field Strong algorithm development and statistical modelling expertise Experience with genomic data analysis at scale Programming expertise in Python and/or R Experience with production software development practices Knowledge of testing automation, CI/CD and software lifecycle processes Excellent communication and collaboration skills What can you expect Our team members are bright, energetic and dedicated - they are the driving force behind our innovation and impact. To attract the best and brightest, we offer a competitive employee benefits program. We view it as a smart investment in our people, one that recognizes the tremendous value they bring to our business every day. Living our values is central to how we work at Illumina. We are passionate about improving human health through genomics and believe that innovation happens when diverse perspectives come together to solve complex challenges. In this role, you will collaborate across scientific and engineering disciplines, act with integrity and accountability, and contribute to an inclusive environment where curiosity, continuous learning, and bold thinking are encouraged. We are looking for individuals who are driven by impact, committed to excellence, and excited to help shape technologies that advance research and precision medicine worldwide. The estimated base salary range for the Bioinformatics Scientist/Engineer - DRAGEN Array role based in United Kingdom is GBP 63.800 - 95.600.The range reflects long term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. This salary range applies to the primary posting location listed above. Should the level or location of the role change during the hiring process, the applicable base pay range will be updated accordingly. Compensation ranges for other locations will differ to reflect local market competitiveness and will be shared with candidates if applicable during the recruitment process.Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package.We offer a thoughtfully designed benefits package that supports your wellbeing, flexibility, and life beyond work-combining globally differentiated offerings with locally tailored programs. This includes support during important life moments, flexible time off, opportunities to give back, and a weeklong company-wide summer shutdown. In the UK, we also offer flexible benefits, a company contribution of 10% into your pension, and private medical insurance, alongside additional benefits to support you and your family. We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact . To learn more, visit: The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator's mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be 'omics data to identify novel therapeutic targets. It could be predicting transcriptional change for a given disease-causing variant. It could be simulating the effect of modulating a target of interest. A core component of the AI Accelerator is AI Systems, a team focused on designing, building and deploying multimodal foundation models across the vast biomedical data landscape that will be used within Computational Innovation to enhance and accelerate portfolio decision-making. THE POSITION We are seeking a Staff AI Scientist to join AI Systems within Computational Innovation's AI Accelerator. In this role, you will design and develop state of the art biomedical foundation models that learn rich representations from multi-omics, clinical and imaging data, advancing the field while directly enabling downstream teams to deploy AI capabilities to computational biologists and human geneticists that segment patient populations, uncover novel, disease-driving biology and ground that biology in genetics. You will be a highly experienced, independent AI Scientist within AI Systems, owning complex research workstreams and contributing meaningfully to the scientific direction of the team. Working within the wider research strategy and architectural vision set by the Senior Staff AI Scientist, you will own significant research programmes and bring deep specialist expertise across AI-driven life sciences, growing your influence over the team's broader research agenda over time. This is a hands-on role with responsibility for leading a multidisciplinary squad that executes on AI Accelerator initiatives. You will work in close partnership with ML Engineers throughout the research and implementation process and contribute to the development of more junior AI Scientists. KEY RESPONSIBILITIES Own and lead significant research workstreams in multimodal biomedical foundation model design, bringing deep specialist expertise across at least two biomedical data modalities from multi-omics, clinical and health records, medical imaging. Develop and validate novel approaches for learning from biomedical data, producing well-documented and reproducible research that ML Engineers can implement effectively. Design and run rigorous experiments to test multi-modal model architectures, training approaches and methods, interpreting results with scientific rigour and validating outputs against biomedical expectations as well as statistical benchmarks. Work closely with the Applied AI teams and computational biologists and human geneticists to understand needs and ensure models are developed with downstream therapeutic applications in mind. Work closely with ML Engineers throughout the research and implementation process, ensuring architectural decisions are scientifically ambitious, practically feasible and accurately reflected in production model components. Publish research findings in peer-reviewed ML and biomedical AI venues, contributing to the team's scientific credibility and external profile. Mentor Senior AI Scientists by providing technical guidance, reviewing experimental designs and helping them develop greater research independence. REQUIREMENTS PhD in machine learning, computer science, computational biology, bioinformatics or a related quantitative field, with a strong publication record in ML or biomedical AI venues relative to career stage. Deep understanding of typical foundation model architectures such as transformers and expertise in self-supervised learning, pre-training, transfer learning and fine-tuning. Strong software engineering practices, including clean, testable, well-documented and reproducible research code, with proficiency in Python and deep learning frameworks such as PyTorch or JAX. Familiarity with distributed training frameworks and large-scale biomedical data processing, with demonstrated ability to take research from novel idea through rigorous experimentation to validated prototype. Strong ability to engage with computational biology and human genetics questions in the context of drug discovery and translate them into research directions that deliver meaningful capability to Applied AI and Analytics. Experience operating in a matrixed setting as a technical lead.

iGii has an exciting opportunity for a Senior Development Scientist with deep expertise in electrochemical environmental and heavy metal sensing to join our rapidly expanding R&D department. This role offers the chance to work in a high growth environment with a fast paced, collaborative culture where you will collaborate with customers conducting cutting edge research. In this role, the Senior Development Scientist will own defined technical work packages and sensor development streams, from feasibility and proof of concept through to validation, scale up readiness and transfer into product development. The successful candidate will set experimental strategy, make evidence based technical decisions and influence project direction, timelines and priorities in alignment with the company's innovation roadmap and commercial goals. Key Responsibilities Collaborate and innovate with colleagues in R&D and Engineering on the development of products and processes for several applications, focusing on real world viable solutions using established industry methods and materials. Define sensor performance requirements and acceptance criteria in collaboration with engineering, product, quality and commercial stakeholders, ensuring laboratory development is aligned with product needs and customer use cases. Develop novel methodologies and process optimisation routes relevant to environmental and heavy metal sensing. Performance assessment and benchmarking against SPEs and Au electrodes. Design and execute verification and validation experiments to assess sensor robustness, manufacturability, stability, reproducibility and suitability for field relevant environmental applications. Preparation and optimisation of buffer solutions suitable for environmental and heavy metal sensing. Run accumulation and stripping experiments using appropriate electrochemical techniques with optimised parameters. Detect environmental and heavy metal ions using Gii electrodes from ppm to ppb range. Evaluate matrix effects, interference from competing ions and other environmental variables, and develop mitigation strategies to improve selectivity and reliability in real world samples. Maintain rigorous experiment and data management practices to ensure credible, defensible results that drive product development from concept to scale up. Prepare high quality technical documentation including standard operating procedures and reports. Stay up to date with current trends in environmental and heavy metal sensing through routine literature review. Provide technical leadership by coaching junior colleagues, reviewing data quality, setting best practice in electrochemical testing and presenting clear recommendations to project leads and senior stakeholders. Qualifications Advanced education (PhD or specialist Master's) or relevant industry experience plus core knowledge of electrochemistry principles. Proven hands on experience with electrochemical environmental and heavy metal detection. Significant experience contributing to R&D projects involving: Application and evaluation of electrochemical techniques within a sensor development environment using low concentration analytes. Developing sensors/nanotechnology for environmental and heavy metal detection. Innovation and problem solving in experimental design and execution. Development of electrochemical sensing technologies from early feasibility through to robust, reproducible performance in real world environmental conditions. Knowledge of voltametric techniques such as ASV, SWV, DPV, CV, LSV. Experience defining and assessing analytical performance criteria including limit of detection, limit of quantification, sensitivity, selectivity, linear range, calibration strategy, repeatability, reproducibility, stability, interference effects and matrix effects. Track record of translating research into commercially viable products or solutions and delivering projects that meet commercial and regulatory requirements. Experience translating design inputs, performance requirements and acceptance criteria into practical experimental plans that support product verification, validation and commercialisation. Strong ability to design, execute and interpret complex experiments with a rigorous and methodical approach. Strong capability in design of experiments, statistical analysis, quantitative data interpretation, uncertainty assessment and clear traceability of experimental decisions. Solid understanding of GLP and standard laboratory techniques and practices, and experience working within a regulatory environment. Experience working within a quality managed environment such as ISO 9001 or equivalent, including robust documentation, change control, risk assessment, auditable laboratory records and health, safety and environmental compliance. Proven ability to work effectively in multidisciplinary teams and contribute to internal reviews or external collaboration, including product management, engineering, manufacturing/process development, quality, regulatory, commercial teams, customers and external partners. Demonstrated commitment to continuous learning, professional development and scientific curiosity. Desirable Experience Prior experience in electroplating or electrodeposition. Familiarity with scaling up processes from laboratory to pilot scale, including commercialisation support. Experience assessing sensor performance in complex real world matrices such as water, wastewater, soil extracts, industrial effluents or field relevant samples, including sample preparation or pre treatment. Experience benchmarking electrochemical sensor performance against reference analytical methods such as ICP MS, ICP OES or AAS. Awareness of IP generation and protection processes. Demonstrated ability to lead projects or mentor junior scientists in an industrial setting. Experience coaching junior scientists, reviewing experimental plans and data, setting laboratory best practice, contributing to capability-building and presenting technical recommendations to senior stakeholders. What We Offer Full time position with 37.5 hours per week onsite at our facility in Euro House, Stirling. Competitive salary and 33 days of annual leave (including statutory holidays). Private medical insurance. Group life insurance. Income protection. Access to mental wellbeing resources and support, including up to six coaching or counselling sessions per year. Training and development opportunities to help grow your career. Flexible working schedule around core hours (09:30 am - 04:00 pm) to support work life balance. Visa sponsorship and relocation package available where needed. Location Stirling, Scotland - a city with rich historical significance and easy access to Edinburgh, Glasgow and the Highlands via public transport. Equal Opportunities We welcome applicants from all backgrounds and communities. Visa sponsorship is available, and we can provide a relocation package where needed.

Research Scientist (Biological Models), Chem-Bio London, UK About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is 6 th September 2026 , end of day, anywhere on Earth. About the team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We'rea close-knit, unusually interdisciplinary team-made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policyspecialistsand talented generalists-who work closely with other technical and policy teams across government. Over the next twelve months, CB will hugely scale the range and complexity of the evaluations and research programmes it carries out, and engage more deeply with partners in major AI labs, the wider biotech and pharma ecosystem and security services than it ever has before. About the role AI capabilities in the life sciences are advancing faster than at any point in history. Foundation models can now design novel proteins and interpret genomic sequences. Specialised biological models can both identify drug targets and design the compound to target them. These are extraordinary tools for scientific progress but also have the potential for harm if misused. This role is for a technical researcher who can contribute strong ML and computational biology expertise to that mission. You will sit within a group of research scientists, subject matter experts and engineers, leading empirical research into the risk-relevant capabilities of specialised biological models, including biomolecular structure and generative-design systems. You will translate ambiguous questions about what these models could enable into rigorous research questions and experimental designs, assess whether in-silico performance translates into meaningful experimental outcomes, and investigate whether technical safeguards can reliably limit potentially dangerous capabilities. It is a role at the interface of machine learning, computational biology and biosecurity: shaping which capabilities we investigate, how we measure their real-world significance, and how we translate our findings into decisions by government and other trusted partners. What you will own Evaluate the risk-relevant capabilities of specialised biological models: Translate important but ambiguous questions about the capabilities of state-of-the-art biological models (including biomolecular structure and generative design models) into measurable research questions and experimental designs. Connect computational and experimental evidence: Use published experimental results, biological datasets, expert review and, where appropriate, external wet-lab collaborations to assess whether in-silico performance translates into experimentally relevant outcomes. Identify feasibility and effectiveness of technical safeguards: Lead research into the feasibility and effectiveness of technical safeguards for specialised biological models, including access controls, model-level interventions, monitoring, detection and capability-limiting approaches. Track the technical frontier: Identify important developments in biological AI and determine which new models, methods or capabilities AISI should investigate. Help shape the team's research agenda as the field evolves. Communicate to decision-makers: Produce clear technical reports, briefings and recommendations for senior decision-makers within government and other trusted partners, translating a complex technical evidence base into actionable conclusions that inform wider cross-Government and industry efforts in this space. Collaborate across expert communities: Work closely with research scientists, engineers, biosecurity experts, policy teams, AI safety specialists and external scientific partners to ensure AISI's evaluations are technically rigorous and policy-relevant . Role requirements Deep, hands-onexperience working with biological machine learning models. You haveworked directly with biological AI models,such as protein design models,generative,structure prediction or scientific foundation models. Strong machine-learning background and applied engineering skills. You understand modern machine-learning methods and have practical experience training, fine-tuning, adapting or evaluating models using PyTorch or similar. You can write robust, readable and maintainable Python code. Computational biology expertise . You have sufficient understanding of molecular biology, biochemistry, structural biology, protein science, genomics or a related area to reason seriously about biological data, model outputs and the scientific validity of an evaluation. Strong empirical judgement. You know how to design experiments to answer pre-specified research questions , identify relevant baselines/controls for these experiments and critically interpret scientific res ults . You can identify limitations in public benchmarks, evidential gaps and cases where results are being over- or under-interpreted. Mission orientation. You are motivated to conduct technical research with direct public-interest and policy impact. You understand that work at the intersection of AI and biology may carry dual-use sensitivity and can operate with appropriate discretion . Collaborative interdisciplinary communication . You can explain complex findings and their uncertainty across audiences, from researchers, engineers, subject-matter experts, policy and security stakeholders , without blurring the bottom line, and work effectively with people from very different technical backgrounds. Strong candidates may also have: AI safety framework familiarity . U nderstanding of AI safety frameworks, model evaluations, responsible capability assessment, release governance or other approaches to managing risks from advanced AI systems. Relevant institutional experience. Experience working in or with organisations such as Dstl, MOD, DHSC, UKHSA, academia, public health bodies, frontier AI labs, biotech companies, national security organisations or equivalent institutions in other settings. Existing security clearance. Existing SC or DV clearance AI-enabled research experience. Experience using AI tools to accelerate research, analyse biological data, support literature review, develop benchmarks or improve scientific workflows. Deep domain expertise in a relevant area of the life sciences. Specialist knowledge in one or more fields such as protein design, structural biology, virology, immunology, genomics or epidemiology, giving you an additional lens through which to assess the significance of model capabilities and outputs. Other core requirements You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London at least 3 days/week. You should be UK-based. Security Clearance Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required-we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You will also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. Selection process Applications are reviewed on a rolling basis. We encourage you to apply early. Screening interview - Lightweight conversation on relevant skills,motivationand fit. Technical take home test - A take-home exercise designed to test your applied subject matterexpertiseand judgement in context. You will receive this after the screening interview. Technical interview - Discussion of your work test with a current AISI SME. Behavioural interview - Deeper dive on non-technical skills needed to succeed in the role: communication skills,judgementand team dynamics. Senior leadership interview (30 min) - Final conversation with AISI senior leadership. What We Offer Impactyoucouldn'thave anywhere else Incredibly talented, mission-drivenand supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. . click apply for full job details

Job Title: Senior Scientist Biomarker Lead Introduction to role:Are you ready to turn cutting-edge biomarker science into decisive choices in the clinic? As Senior Scientist, Biomarker Lead based in Cambridge, you will design and deliver fit-for-purpose biomarker strategies and assays that illuminate disease mechanisms, confirm target engagement, and guide patient selection across respiratory and immunologic indications. You will join a hands-on discovery group working at the interface of laboratory science and early clinical development. Using human samples and state-of-the-arts platforms, you will convert complex datasets into clear, evidence-based recommendations, partnering closely with clinicians, translational scientists, and external collaborators. Can you see your work enabling smarter trial designs and faster decisions for patients? From day one, you will own critical biomarker workstreams that influence program direction. Your scientific independence, rigor, and storytelling will help teams move quickly on the right questions and make bold, well-supported decisions that accelerate medicines to those who need them. Accountabilities Assay Strategy and Development: Design, develop, optimize, troubleshoot, transfer, and qualify biomarker assays that demonstrate target engagement, assess pharmacodynamics, enable patient stratification, and support clinical studies. Biomarker Study Leadership: Independently plan, execute, analyze, and document rigorous biomarker studies using human biospecimens to deliver decision-enabling data aligned to translational and project objectives. Quality and Compliance Stewardship: Ensure all work adheres to GLS, SOPs, ethical and regulatory requirements; proactively identify and mitigate quality and operational risks. Human Biospecimen Operations: Oversee compliant receipt, processing, tracking, storage, and archiving of human biological samples to safeguard integrity and traceability. Data Interpretation and Decision Support: Critically interpret biomarker results, articulate implications and limitations, and deliver clear, evidence-based recommendations to project teams and senior stakeholders. Technology Scouting and Feasibility: Serve as a subject-matter expert in biomarker assays, evaluate emerging technologies, and lead feasibility studies that expand translational capability. Cross-Functional Partnership: Partner across discovery, translational, clinical, and operations functions to shape biomarker strategy, align priorities, resolve challenges, and deliver high-quality outcomes. External Collaboration Enablement: Provide scientific and operational support to academic and clinical collaborators to ensure seamless, compliant execution and data flow. Communication and Knowledge Sharing: Contribute to publications, presentations, reports, and internal forums to disseminate insights and elevate best practices. Progression of Impact: Deliver immediate assay and study outputs, then scale impact by informing program strategy, refining patient selection, and improving clinical decision-making. Essential Skills/Experience PhD with postdoctoral or industry experience in immunology, molecular biology, cell biology, biochemistry, or biomedical sciences; or MS with equivalent progressively responsible laboratory research experience. Extensive experience independently developing, optimising, troubleshooting, qualifying, and applying biomarker assays to deliver decision-enabling data. Advanced experience handling and performing experiments with human biological samples, including blood and tissue processing and demonstrated knowledge of sample integrity, biospecimen traceability, ethical standards, applicable regulations, and laboratory compliance requirements. Demonstrated scientific independence and advanced problem-solving ability in a laboratory research environment, supported by a proven ability to influence multidisciplinary teams and recommend clear experimental next steps. Advanced written and verbal communication skills, with the ability to synthesise complex scientific and technical information, articulate data implications and limitations, deliver clear recommendations to diverse audiences, and contribute to high-quality reports, presentations, and publications. Desirable Skills/Experience Hands-on expertise across multiple biomarker platforms, such as immunoassays, multiparameter flow cytometry, cell-based assays, transcriptomics, genomics, proteomics, and NGS-based methods, with the ability to select fit-for-purpose technologies and interpret multidimensional datasets. Deep knowledge of respiratory, immunology, or inflammation biology, with the ability to translate disease mechanisms and scientific evidence into biomarker hypotheses, experimental strategies, and clinically relevant readouts. Comprehensive understanding of drug discovery and development from early research through clinical studies Demonstrated experience applying translational science concepts to drug development-including target engagement, pharmacodynamics, patient stratification, biomarker strategy, assay qualification, and clinical biomarker deployment Why AstraZeneca Join a science-powered organization where evidence guides bold decisions and investment fuels ambition. Here, unexpected teams come together in the same room to unleash original thinking, learn openly from setbacks, and move fast on the work that matters most. You will operate at the cutting edge of discovery and early clinical development, using advanced technologies to answer complex patient needs and shape smarter trials. Your ideas will travel across a diverse, expanding pipeline with real potential to reach patients around the world. We value kindness alongside ambition, and we create the conditions for you to explore new territory, share your work widely, and grow your impact. Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn,Facebook,Instagram,XandYouTube. Job Description Principal Research Scientist I, Novel Therapeutics Oxford, United Kingdom Full-time (onsite) At DJS-AbbVie, we are advancing novel therapeutics and translating immunological science into innovative R&D programmes with the potential to make a meaningful difference for patients. As a UK-based discovery hub within AbbVie Immunology, we combine the focus and agility of a specialist team with the resources and ambition of a global pharmaceutical company. We are now entering an exciting phase of team growth and scientific progression in Oxford. To support this next stage, we are seeking an experienced and highly capable drug hunter to join us as Principal Research Scientist I within our existing Novel Therapeutics - Cellular Depletion Team. This role offers the opportunity to contribute to work that is scientifically ambitious, strategically important, and directly connected to patient impact. You will help shape programmes that aim to deplete pathogenic cells and enable long-term disease modification, while working in an environment that values scientific ownership, deep expertise, and collaborative problem-solving. Why this role? Autonomy In this role, you will have significant scope to shape scientific strategy, influence portfolio direction, and act as molecule lead on selected programmes where appropriate. You will work closely with the team leader and cross-functional partners to define approaches, assess risk, and guide experimental plans. We are looking for someone who is confident taking ownership of complex scientific challenges and who thrives when given the freedom to lead with rigour and initiative. Mastery This role is ideal for a scientist who wants to deepen and apply expertise in drug discovery and immunology focusing on cellular depletion via any available modalities. You will have the opportunity to tackle challenging discovery questions and complex protein designs, contribute original ideas and champion innovative methods ultimately enhancing the scientific capability within the team. You will also mentor colleagues, share knowledge, and help develop a strong drug discovery mindset across the function. Purpose Our work is driven by the goal of delivering better outcomes for patients with serious and challenging diseases. In this role, you will help advance novel therapeutics with the potential to achieve durable disease improvement beyond symptomatic treatment. Your contributions will support programme progression from concept to candidate nomination, influence translational strategy, and help shape the future of our discovery portfolio. Successful applicant's key responsibilities Where appropriate act as molecule lead on pipeline programmes, providing technical expertise and cross-functional leadership as teams form around assets Together with the team leader develop and deliver drug discovery strategy in alignment with AbbVie's overall immunology strategy Serve as a key lab focused scientist at the DJS-AbbVie Oxford site, and ultimately act as a recognised scientific expert within the wider AbbVie R&D organisation in your specialist mechanism of action Collaborate with colleagues across immunology discovery research, development sciences, clinical development, and precision medicine Ensure high-quality project planning through sound experimental design, early risk assessment and robust contingency planning Identify and evaluate emerging scientific trends and translate relevant insights into functional objectives Apply imagination and innovation to create and implement new or improved approaches and breakthrough ideas Proactively share knowledge to build scientific capability within the team and foster a strong drug discovery mindset Mentor junior colleagues and support their scientific development Present scientific concepts and results to scientific and non-scientific audiences, including senior stakeholders and external partners Applicant's essential attributes Demonstrated experience across multiple drug discovery programs with at least one proven example of a cell depletion modality Education - BS, MS or PhD or equivalant experience in a relevant scientific area Demonstrated ability to function as a principal investigator, generating original technical ideas and development strategies Creative and practical problem-solving skills, with the ability to champion new technologies Recognised as an expert in your discipline, internally and ideally externally Strong publication, presentation, regulatory and/or patent record Excellent scientific communication and presentation skills, including experience presenting at leading scientific conferences Applicant's desired attributes Recognised expert in using cellular therapies e.g. CAR-T, CAR-NK, CAR-Treg, etc. OR recognised expert in complex antibody engineering including bispecific and novel formats Strong background in translational biology Additional Information DJS-AbbVie is part of AbbVie Immunology and is focused on advancing novel therapeutics to address serious and challenging diseases. Our work is driven by scientific excellence, collaboration and a commitment to delivering meaningful impact for patients. Working at DJS-AbbVie offers the opportunity to join a dynamic and ambitious team, with exposure to a broad range of scientific challenges, close collaboration with experts across the wider organisation, and the chance to help shape the future of our discovery portfolio. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Candidates must provide work authorization for the respective country. Applied data and statistical skills, along with the ability to communicate insights clearly to nontechnical audiences Interview to be held Week commencing 21st September About the Role: The Senior Data and Insight Scientist provide analytical leadership across Lloyd's Register Foundation, ensuring that data and evidence are robust, meaningful, and usable for decision making and impact. The role bridges deep technical expertise with clear insight translation, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre. This is a hybrid role combining advanced data analysis, applied statistics, evidence production, and high-quality communication. It plays a central role in strengthening the Foundation's evidence led approach to safety. About the Global Safety Evidence Centre Lloyd's Register Foundation's mission to engineer a safer world is underpinned by the use of robust and credible evidence to better understand the nature and scale of global safety challenges, and what is needed to address them. While we know this evidence is critical to informing decision-making and improving safety, it often does not yet exist or is not easily accessible. Responding to this need, the Foundation has established GSEC as a hub for anyone who needs to know 'what works' to make people safer, collating the best safety evidence from our partners and other sources and communicating it in an understandable and actionable form. GSEC also hosts the Foundation's own evidence outputs, such as our flagship World Risk Poll. What we offer you Full time - Permanent role Hybrid and flexible work schedules with an appreciation for work-life balance Working in a global company with the ability to work with different cultures and diverse people Competitive benefits package including 26 days holiday pro rata per annum, plus flexible bank holidays, buy/sell holidays, bonus scheme, company funded PMI, EAP, discount scheme & opportunities for learning & development (including financially supported part-time study) The opportunity to work for an organization that has a clear sense of purpose, is values-driven and helps colleagues to develop professionally and personally through our range of people development programs. The Role We do not expect applicants to demonstrate all of the specific skills outlined, and we are interested in hearing what you can bring to the role. Analytical Leadership Perform high quality quantitative analysis across complex and large-scale datasets Apply appropriate, rigorous, and transparent analytical methods Ensure strong quality assurance across data, code, and outputs Develop reproducible analytical workflows that can be audited and reused Insight & Visual Communication Translate technical findings into clear, compelling insight for non-technical audiences Design and maintain: Dashboards and data products Contribute analytical content to reports, briefings, and publications Provide analytical leadership to major initiatives, including: World Risk Poll Global Safety Evidence Centre Work with programme teams to: Shape research questions Interpret findings Apply evidence in practice Support monitoring, evaluation, and learning (MEL) through effective use of data and insight Work collaboratively with internal teams, research partners, and advisory groups Present insight to senior leadership, Board members, and external stakeholders Act as a trusted technical adviser within multidisciplinary teams Capability Building & Innovation Improve analytical tools, methods, and workflows across the organisation Reproducibility Accessibility Mentor colleagues and contribute to a strong analytical culture Support the organisation's shift toward data informed decision-making What you bring We do not expect applicants to demonstrate all of the specific skills outlined, and we are interested in hearing what you can bring to the role. Technical and Data Solid data analysis and transformation skills, using modern analysis languages (SQL, Python, R) within a cloud-based data environment Experience working with both exploratory (notebook-based) and production code Experience with data engineering principles and cloud based data architecture Statistical and Analytical Solid applied statistics, including: Hypothesis testing Regression analysis Confidence intervals and effect sizes Experience working with complex survey data, including: Cross-national comparison Ability to develop reproducible, auditable analytical workflows Strong numerical judgement and attention to data quality Communication Effective verbal communication, including presenting to senior and external audiences Clear written communication, translating analysis into clear reports and narratives Ability to: Translate ambiguous stakeholder questions into analytical problems Translate findings into actionable insight Ways of Working Senior individual contributor mindset with end-to-end ownership of work Effective stakeholder management across a complex organisation Experience working with international partners and multidisciplinary teams Technical and Systems Familiarity with: GCP / BigQuery dbt or Dataform Git/GitHub workflows Experience integrating data from multiple systems (e.g. CRM, finance, web analytics) Experience using BI tools (e.g. Looker Studio, Tableau, Power BI) Advanced and Emerging Experience applying AI/LLM tools within analytical workflows Experience developing internal analytical tools (e.g. Shiny or equivalent) Working knowledge of web analytics data (e.g. GA4) Statistical / Domain Background in survey methodology, social statistics, or policy-relevant analysis Experience working with international datasets Use of machine learning techniques where appropriate Leadership and Delivery Experience mentoring or developing others Experience working with research or communications partners Ability to support organisational change toward stronger evidence use Experience in building networks, relationships, and ultimately and partnerships with relevant organisations Experience of championing data sharing, data collection, data use internally and externally Design and data storytelling Experience in static design work to ensure data led reports are accurate and accessible Experience in dynamic web visualisation as a narrative tool or as a lead generator Evidence of engaging mixed methods storytelling Role Impact This role is central to the Foundation's credibility, influence, and effectiveness. By ensuring that evidence is: Technically robust Clearly communicated Decision ready the Senior Data and Insight Scientist enables the organisation to: Strengthen organisational impact Contribute to global conversations on safety and wellbeing If you share our vision for safety and sustainability, we want to hear from you.