Job Summary Quantemol is seeking a Computational Physicist to join our quantum chemistry team, focusing on the development and application of simulation software for electron molecule collisions. You will work primarily on Quantemol's QEC codebase, contributing to state of the art computational methods used by academic and industrial customers. The role combines scientific software development, customer facing project work, and high impact research in collaboration with leading academic partners. This is a full time role. Salary negotiable based on experience. Responsibilities Develop, maintain, and extend the QEC electron molecule collision simulation software. Work with and interface to established backend quantum chemistry and scattering codes, including R matrix based implementations. Perform electron molecule cross section calculations for Quantemol customers across research and industrial projects. Engage closely with the UK R matrix code community to support and align ongoing development. Collaborate on scientific publications with Prof. Jonathan Tennyson and the research group at University College London. Apply advanced quantum chemistry and scattering theory concepts, including excited states and cross sections. Contribute to consultative, customer facing projects, translating scientific requirements into robust computational solutions. Document code, methods, and results to support reproducibility and long term maintenance. Qualifications Required PhD in computational physics, quantum chemistry, or a closely related discipline. Strong background in quantum chemistry and electron molecule collision theory, including excited states and cross sections. Excellent Python programming skills and experience working with scientific codebases. Ability to work independently while collaborating effectively within a research driven team. Clear written and verbal communication skills. Preferred At least one year of relevant professional experience as a postdoctoral researcher or non academic professional. Experience working with FORTRAN codebases, particularly legacy or high performance scientific software. Familiarity with R matrix based electron scattering codes. Experience delivering consultative or customer facing scientific projects. Experience with front end development for scientific or engineering software. Familiarity with collaborative software development practices and version control. Track record of contributing to peer reviewed scientific publications.
Aug 28, 2026
Full time
Job Summary Quantemol is seeking a Computational Physicist to join our quantum chemistry team, focusing on the development and application of simulation software for electron molecule collisions. You will work primarily on Quantemol's QEC codebase, contributing to state of the art computational methods used by academic and industrial customers. The role combines scientific software development, customer facing project work, and high impact research in collaboration with leading academic partners. This is a full time role. Salary negotiable based on experience. Responsibilities Develop, maintain, and extend the QEC electron molecule collision simulation software. Work with and interface to established backend quantum chemistry and scattering codes, including R matrix based implementations. Perform electron molecule cross section calculations for Quantemol customers across research and industrial projects. Engage closely with the UK R matrix code community to support and align ongoing development. Collaborate on scientific publications with Prof. Jonathan Tennyson and the research group at University College London. Apply advanced quantum chemistry and scattering theory concepts, including excited states and cross sections. Contribute to consultative, customer facing projects, translating scientific requirements into robust computational solutions. Document code, methods, and results to support reproducibility and long term maintenance. Qualifications Required PhD in computational physics, quantum chemistry, or a closely related discipline. Strong background in quantum chemistry and electron molecule collision theory, including excited states and cross sections. Excellent Python programming skills and experience working with scientific codebases. Ability to work independently while collaborating effectively within a research driven team. Clear written and verbal communication skills. Preferred At least one year of relevant professional experience as a postdoctoral researcher or non academic professional. Experience working with FORTRAN codebases, particularly legacy or high performance scientific software. Familiarity with R matrix based electron scattering codes. Experience delivering consultative or customer facing scientific projects. Experience with front end development for scientific or engineering software. Familiarity with collaborative software development practices and version control. Track record of contributing to peer reviewed scientific publications.
Quantemol is seeking a Computational Physicist to join our quantum chemistry team in the UK, focusing on software development for electron-molecule collision simulations. You will contribute to the QEC codebase and work with academic partners on high impact research. This full time role involves scientific software development, customer facing projects, and collaboration with leading researchers. Salary is negotiable based on experience.
Aug 28, 2026
Full time
Quantemol is seeking a Computational Physicist to join our quantum chemistry team in the UK, focusing on software development for electron-molecule collision simulations. You will contribute to the QEC codebase and work with academic partners on high impact research. This full time role involves scientific software development, customer facing projects, and collaboration with leading researchers. Salary is negotiable based on experience.
TwentyCi Ltd is seeking a Scientist in Plant Sciences to join their team in Rothamsted, UK. This role will focus on experimental design and multi-omics data collection to support gene editing for sustainable agriculture. The ideal candidate will hold a PhD and have relevant experience in plant transformation and experimental design. Candidates should be proficient in English and capable of working collaboratively within a multidisciplinary team. This position offers the opportunity to contribute significantly to innovative approaches in crop gene-editing.
May 30, 2026
Full time
TwentyCi Ltd is seeking a Scientist in Plant Sciences to join their team in Rothamsted, UK. This role will focus on experimental design and multi-omics data collection to support gene editing for sustainable agriculture. The ideal candidate will hold a PhD and have relevant experience in plant transformation and experimental design. Candidates should be proficient in English and capable of working collaboratively within a multidisciplinary team. This position offers the opportunity to contribute significantly to innovative approaches in crop gene-editing.
About us Safeguarding the future of food Biographica is on a mission to accelerate the development of more productive, sustainable, nutritious & climate-resilient food sources. To achieve this, we're building the world's first ML-driven target discovery platform for crop gene-editing. From drug target discovery to crop target discovery While gene-editing of crops is becoming ever more efficient, identifying which genes to edit and how remains a significant challenge. To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high value genetic targets for crop gene-editing. Our approach draws inspiration from recent advancements in the drug discovery space, incorporating transformers, graphs & causal-ML to build a best-in-class discovery platform for plant sciences. Team Led by co-founders Dom (CTO) and Cecy (CEO), we are now a team of 10, including 2 ML engineers, 2 data engineers, 3 bioinformaticians. We primarily work together in person from our office in Spitalfields, London, 4 days per week but this role would be based in our new labs in Rothamsted research, Harpenden. What we're looking for We are setting up lab capabilities to generate data for our ML foundation models and experimentally validate our gene ID platform. You will be one of our first experimental hires, helping run daily operations in the lab, establishing and validating required molecular assays and communicating with our computational scientists to design experiments. Your first priorities will be: Designing (or assisting with design of) experiments for target validation in planta Supporting with establishment of relevant assays for multi-omic data collection & protoplast reporter assays Working as part of a small team of highly capable scientist to study diverse questions in gene expression and gene to trait studies. Core responsibilities Experimental design and conducting of experiments to evaluate predicted trait improvements in planta Multi-omics data collection (WGS, RNA-seq, Fluorescent readouts) to train/fine-tune Biographica's ML models Supporting with establishment and validation of protoplast gene expression quantification assays Clear communication with computational scientists about experimental validation and design Coordinate with Rothamsted's horticultural service to ensure healthy plant material for experiments Additional responsibilities Day-to-day maintenance of lab equipment (we will use Rothamsted services as much as possible to free up time for scientific work) Core competencies PhD in Plant Sciences and ideally 1 years of PostDoc or industry experience Expertise & experience with collection of 1 -Omics modality Experience in cloning Experience in plant transformation protocols Appreciation for the importance of robust experimental design, rigorous data collection and documentation Ability to communicate across disciplines. We are a machine learning-first company with a team of machine learning engineers, data engineers, computational biologist and bioinformaticians and we all have to find a common language to work on our shared goal of rapid and accurate gene discovery for agricultural traits Experience working with A. thaliana and Maize (or another monocot) Full professional proficiency in English Nice to have competencies Experience with ELNs Experience with phenotyping Experience with sequencing work (illumina, ONT, pacbio) Experience with lab licences (e.g. DEFRA), phytosanitary certification and MTAs
May 29, 2026
Full time
About us Safeguarding the future of food Biographica is on a mission to accelerate the development of more productive, sustainable, nutritious & climate-resilient food sources. To achieve this, we're building the world's first ML-driven target discovery platform for crop gene-editing. From drug target discovery to crop target discovery While gene-editing of crops is becoming ever more efficient, identifying which genes to edit and how remains a significant challenge. To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high value genetic targets for crop gene-editing. Our approach draws inspiration from recent advancements in the drug discovery space, incorporating transformers, graphs & causal-ML to build a best-in-class discovery platform for plant sciences. Team Led by co-founders Dom (CTO) and Cecy (CEO), we are now a team of 10, including 2 ML engineers, 2 data engineers, 3 bioinformaticians. We primarily work together in person from our office in Spitalfields, London, 4 days per week but this role would be based in our new labs in Rothamsted research, Harpenden. What we're looking for We are setting up lab capabilities to generate data for our ML foundation models and experimentally validate our gene ID platform. You will be one of our first experimental hires, helping run daily operations in the lab, establishing and validating required molecular assays and communicating with our computational scientists to design experiments. Your first priorities will be: Designing (or assisting with design of) experiments for target validation in planta Supporting with establishment of relevant assays for multi-omic data collection & protoplast reporter assays Working as part of a small team of highly capable scientist to study diverse questions in gene expression and gene to trait studies. Core responsibilities Experimental design and conducting of experiments to evaluate predicted trait improvements in planta Multi-omics data collection (WGS, RNA-seq, Fluorescent readouts) to train/fine-tune Biographica's ML models Supporting with establishment and validation of protoplast gene expression quantification assays Clear communication with computational scientists about experimental validation and design Coordinate with Rothamsted's horticultural service to ensure healthy plant material for experiments Additional responsibilities Day-to-day maintenance of lab equipment (we will use Rothamsted services as much as possible to free up time for scientific work) Core competencies PhD in Plant Sciences and ideally 1 years of PostDoc or industry experience Expertise & experience with collection of 1 -Omics modality Experience in cloning Experience in plant transformation protocols Appreciation for the importance of robust experimental design, rigorous data collection and documentation Ability to communicate across disciplines. We are a machine learning-first company with a team of machine learning engineers, data engineers, computational biologist and bioinformaticians and we all have to find a common language to work on our shared goal of rapid and accurate gene discovery for agricultural traits Experience working with A. thaliana and Maize (or another monocot) Full professional proficiency in English Nice to have competencies Experience with ELNs Experience with phenotyping Experience with sequencing work (illumina, ONT, pacbio) Experience with lab licences (e.g. DEFRA), phytosanitary certification and MTAs