The Earlham Institute

The post holder will be responsible for leading community support, user training, and workflow curation for Galaxy as a core component of the BioFAIR Methods Commons (MC) concierge service. BioFAIR is a UK federated digital research infrastructure designed to connect existing services, communities, and expertise to build a cohesive national ecosystem for Findable, Accessible, Interoperable, and Reproducible (FAIR) data. As one of the BioFAIR Spokes, the MC will provide access to trusted and robust analysis platforms, workflows, and tools to UK life scientists. Within this ecosystem, Galaxy serves as an open-source, web-based platform that makes complex computational research accessible, reproducible, and transparent. Based within the Data Science group at the Earlham Institute (EI), this role operates as part of the User Support and Community Delivery team within the larger BioFAIR MC team across EI, the University of Manchester, and Seqera. The role contributes directly to the team's tiered Concierge Service, delivering support across the entire Galaxy workflow lifecycle through intensive co-development with Exemplar Use Cases, premium support for complex projects, self-service onboarding, and lighter-touch community outreach. Engagement will be managed using Client Relationship Management (CRM) processes to track cohesive user journeys, backed by community engagement initiatives and AI-assisted support. The post holder will also lead Galaxy activities within the Workflow Observatory, the quality-assurance layer built into WorkflowHub, to curate, test, benchmark, and endorse FAIR workflows for inclusion in the BioFAIR Workflow Collection, whilst contributing guides, playbooks, and training materials to the Knowledge Hub. Additionally, the post holder will contribute to the Horizon Europe ESG4Stars project, specifically focusing on profiling and optimising Galaxy tools to maximise their energy and runtime efficiency. Key Relationships Internal: BioFAIR MC team; Data Science group; NBI Research computing; ESG4Stars project contributors; and other researchers at the Earlham Institute. External: BioFAIR Hub and Spoke partners (including the University of Manchester and Seqera); academic research organisations; global Galaxy community networks (e.g. Galaxy Training Network, IUC and IWC); and international ESG4Stars consortium partners. Main Activities & Responsibilities Provide technical and scientific support to researchers using Galaxy across the workflow lifecycle, diagnosing, debugging, and resolving tool execution errors through the tiered MC concierge support framework. 40 Collaborate with embedded Exemplar Use Cases, Pathfinders, and BioFAIR Fellows to design, build, version, and publish high-quality workflows on WorkflowHub, ensuring adherence to FAIR standards and metadata packaging. 25 Execute Galaxy tool profiling, computational resource benchmarking, and workflow refactoring for the Horizon Europe ESG4Stars project to reduce compute footprint and energy consumption of computational research. 20 Author and update user-focused training materials, playbooks, and tutorials for the Galaxy Training Network and the BioFAIR Knowledge Hub, delivering workshops, clinics, and community outreach events. 15 As agreed with the line manager, any other duties commensurate with the role. Person Profile Education & Qualifications Requirement Importance A degree (BSc/MSc) in Bioinformatics, Computational Biology, Computer Science, Molecular Biology, or a related biological/quantitative discipline, or equivalent professional experience Essential A PhD in Bioinformatics, Computational Biology, Computer Science, Molecular Biology, or a related quantitative or biological discipline, or equivalent high-level professional experience Desirable Specialist Knowledge & Skills Requirement Importance Knowledge of computational workflow management systems (ideally Galaxy), including tool integration techniques and workflow design Essential Proficiency in modern programming and scripting languages used in scientific data analysis (e.g. Python, Bash, or R) Essential Working knowledge of biological data analysis (e.g. bioimaging, genomics, or other omics) Essential Understanding of FAIR workflow principles and metadata standards (e.g. RO-Crate) Desirable Familiarity with tool profiling, benchmarking, or energy-efficient computing practices Desirable Requirement Importance Proven experience in developing, running, debugging, and publishing scientific workflows Essential Experience providing direct user support, training, or bioinformatics consultancy to scientific researchers Essential Experience with quality assurance, benchmarking, or optimising software tools and algorithms Desirable Experience working within collaborative open-source communities or research consortia Desirable Interpersonal & Communication Skills Requirement Importance Good interpersonal skills, with the ability to work well as part of a distributed team Essential Good written and verbal communication skills Essential Proven ability to deliver technical training or guidance to people with varying levels of computational experience Desirable Documentation and tutorial authoring skills Desirable Additional Requirements Requirement Importance Attention to detail Essential Promotes equality and values diversity Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute Essential Willingness to work outside standard hours as required Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work Essential Ability to undertake occasional travel (national and international) related to project collaborations, workshops, and/or seminars Desirable A keen interest in science, technology, and environmental sustainability Desirable Who We Are About the Earlham Institute The Earlham Institute harnesses the power of data-driven biology to accelerate solutions for health, biodiversity, and food security. Based at Norwich Research Park, the Earlham Institute is one of eight institutes strategically funded by BBSRC. Our science combines world-class technology, interdisciplinary expertise, and training and development across genomics, engineering biology and data science, to decode the scale and complexity of living systems. We believe we can achieve more if we work together. That's why we collaborate with the global science community and industry partners, while also inspiring the next generation of scientists and technical specialists. Our Science Earlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make biological predictions. We are home to state-of-the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also provides access to specialised scientific training to upskill the next generation of research and technical staff. Our Culture Our collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally. In this paragraph about the Institute? It's fine. Keep as paragraph. The role is based in Norwich, UK. Contract: This is a full-time post for a contract of 2 years. Salary: Salary on appointment will be within the range £38,000 to £46,500 per annum, depending on qualifications and experience. Visa: This role does not meet the full salary requirements set by UKVI to allow for visa sponsorship. However, some individuals may still be eligible for visa sponsorship depending on their personal circumstances. Disability: As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. Closing date: The closing date for applications will be 17 September 2026.

(Senior) Postdoctoral Research Scientist - Biological Foundation Models Job Title (Senior) Postdoctoral Research Scientist - Biological Foundation Models Post Number Closing Date 20 Aug 2026 Grade SC6/SC5 Starting Salary Salary: £39,000-£52,560 Hours per week 37 Project Title Generative Digital Biology: Multimodal Foundation Models for Cross-Scale Modeling Expected/Ideal Start Date 07 Sep 2026 Months Duration 36 Job Description Main Purpose of the Job The post holder will conduct primary research in the AI for Biology Group to develop large-scale multimodal foundation models. Potentially ranging from hundreds of millions to tens of billions of parameters where scientifically justified, to underpin the Generative Digital Biology programme. The role will focus on original AI methods for pretraining, post-training, adaptation and evaluation across biological modalities, including DNA and RNA sequences, genomics, transcriptomics, single-cell and spatial omics, imaging, phenotypic and perturbation data. The successful candidate will join at a rare moment: early enough to help shape a new programme at EI, but with strong technical foundations, prior publications, existing collaborations and a clear research trajectory already in place. The aim is not simply to apply existing machine learning tools to biological datasets, but to build new AI systems that can represent biological mechanisms across scales and enable experimentally grounded discovery. The ambition is to move beyond static biological representation learning towards predictive, transferable and experimentally grounded models of living systems. The post holder will help build the representation and prediction layer of the Generative Digital Biology programme: models that can connect molecular, regulatory, cellular, tissue and organismal scales, support biological hypothesis generation, and enable downstream experimental design. This will be a highly collaborative role embedded across EI. The post holder will work with EI colleagues and platforms to develop AI-ready biological data resources and benchmarks, including with BioFAIR and ELIXIR-UK on FAIR, interoperable and foundation-model-ready data; with the Cellular Genomics programme and Single-cell and Spatial Analysis platform on single-cell and spatial omics; and with the Earlham Biofoundry and engineering biology colleagues on model-guided experimental design. Together, these capabilities make EI a distinctive environment for building biological foundation models that are both technically ambitious and experimentally grounded. The post holder will be expected to lead high-quality research outputs, publish in leading AI, machine learning, computational biology and AI-for-science venues, contribute to open and reproducible models, data and software resources, and support future competitive grant applications to UKRI, EPSRC, BBSRC, Wellcome, ERC and related funders. Key Relationships INTERNAL: Reporting to Professor Ke Li, the post holder will work closely with the AI for Biology Group and collaborate across EI's research programmes, National Bioscience Research Infrastructures and technology platforms. Key internal relationships are expected to include BioFAIR, ELIXIR-UK, and Open and FAIR Data colleagues; Research e-Infrastructure; the Cellular Genomics programme; the Single-cell and Spatial Analysis platform; Earlham Biofoundry and engineering biology colleagues; Transformative Genomics; High-Performance Sequencing; and relevant EI scientific groups working on plants, microbes, biodiversity, health, genomics and data-intensive bioscience. The role is intended to help make the AI for Biology group a collaborative AI engine for EI, supporting AI-ready data atlases, foundation-model-ready benchmarks and model-guided experimental design across the Institute.EXTERNAL: The post holder will interact with UK and international collaborators in AI, machine learning, computational biology, genomics, single-cell and spatial biology, engineering biology, plant science, human health and therapeutic discovery. External collaborations may include academic, clinical, public-sector, infrastructure and industry partners where appropriate. Main Activities & Responsibilities Percentage Develop original multimodal foundation model architectures for biological data, including sequence, genomics, transcriptomics, single-cell and spatial omics, imaging, phenotype and perturbation modalities. For appointment at SC5, take intellectual and operational leadership of a defined foundation-model workstream, set scientific priorities and milestones, manage technical risks, and deliver the work with limited supervision (essential for SC5) 25 Design and implement large-scale pretraining, post-training, fine-tuning, adaptation and evaluation pipelines for biological AI models using GPU, HPC and/or cloud computing and reproducible research workflows. 20 Work with EI colleagues, including BioFAIR, ELIXIR-UK, Open and FAIR Data and Research e-Infrastructure teams, to help define AI-ready biological data atlases, metadata standards, model and dataset documentation, and foundation-model-ready benchmarks. 15 Build transferable representations that connect molecular, regulatory, cellular, tissue and organismal scales, and evaluate their utility for prediction, perturbation response and biological discovery. 15 Collaborate with Cellular Genomics, Single-cell and Spatial Analysis, Earlham Biofoundry, engineering biology and other EI groups to identify biological use cases and translate model outputs into experimentally useful hypotheses or designs. For appointment at SC5, coordinate the relevant interdisciplinary collaboration and ensure that model outputs are translated into a coherent programme of experimentally actionable hypotheses or designs (essential for SC5). 10 Develop benchmark tasks, ablation studies, uncertainty estimates and robustness/generalization analyses to assess biological validity, transferability and downstream utility. 5 Prepare manuscripts and conference papers for leading AI, machine learning, computational biology and life science venues; present findings internally, nationally and internationally. For appointment at SC5, lead the preparation and submission of major research outputs and represent the work in relevant external forums (essential for SC5) 5 Contribute to research proposals, grant applications, open-source software, model cards, dataset documentation and good research practice, including responsible data handling and reproducibility. For appointment at SC5, make substantive contributions to grant development and provide scientific or technical guidance to junior researchers or students (essential for SC5). 5 As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance PhD (awarded or expected within 6 months) in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, Mathematics, Statistics, Physics, Engineering or a related quantitative discipline Essential Specialist Knowledge & Skills Requirement Importance Excellent programming skills in Python and practical experience with PyTorch, JAX, TensorFlow or equivalent deep learning frameworks, ideally including large-scale model training ecosystems such as Hugging Face, DeepSpeed, FSDP, Megatron-LM, Ray or equivalent tools Essential Experience with large-scale model training, GPU/HPC/cloud computing, Linux, version control and reproducible research workflows Essential Understanding of biological data types such as DNA/RNA sequences, genomics, transcriptomics, single-cell, spatial, imaging, phenotypic or perturbation datasets Desirable Experience with FAIR data, metadata standards, biological data atlases, benchmark datasets, model cards, dataset documentation or reusable ML resources Desirable Demonstrable experience developing or leading foundation-model research in biology or another complex scientific domain (essential for SC5) Desirable A strong track record of independent or semi-independent research in machine learning, AI, computational biology, bioinformatics or a closely related field (essential for SC5) Desirable Ability to develop and deliver a research direction with limited supervision, including project planning, collaboration and communication with interdisciplinary partners (essential for SC5) Desirable Requirement Importance Evidence of high-quality outputs appropriate to career stage in AI/ML, computational biology, bioinformatics or AI for science, demonstrated through peer-reviewed publications and/or significant open-source models, datasets or benchmark contributions Essential Experience designing, adapting or evaluating original AI algorithms rather than only applying existing tools Essential Experience working with large biological datasets, multi-omics data, single-cell/spatial data or cross-modal biological prediction tasks Desirable Experience contributing to externally funded research projects, open-source software, benchmark datasets, data/model resources or collaborative research consortia Desirable Clear evidence of leading high-quality research outputs, for example first-author publications, substantial contributions to major papers in top AI conferences (essential for SC5) Desirable Ability to support junior group members, contribute to collaborative projects, and help develop future publications and grant applications (essential for SC5) Desirable Interpersonal & Communication Skills Requirement Importance Ability to work independently, use initiative, solve complex research problems and deliver against agreed milestones Essential Excellent written and verbal communication skills . click apply for full job details

The Earlham Institute in Norwich seeks a (Senior) Postdoctoral Research Scientist to advance generative AI methods for biological design and closed-loop discovery. You will develop novel AI algorithms for design, prioritise experiments, and learn from experimental feedback within EI's Generative Digital Biology program. Ideal candidates will have a PhD in a quantitative field, strong Python and AI framework experience (PyTorch/JAX/TensorFlow) and a track record of high-quality research outputs

(Senior) Postdoctoral Research Scientist - Generative AI and Closed-loop Discovery Job Title (Senior) Postdoctoral Research Scientist - Generative AI and Closed-loop Discovery Post Number Closing Date 20 Aug 2026 Grade SC6/SC5 Starting Salary Salary: £39,000-£52,560 Hours per week 37 Project Title Generative Digital Biology: AI-Guided Biological Design and Closed-Loop Scientific Discovery Expected/Ideal Start Date 07 Sep 2026 Months Duration 36 Job Description Main Purpose of the Job The post holder will conduct primary research in the AI for Biology Group to develop generative, causal and decision-making AI methods for biological design and closed-loop discovery. The role will focus on Bayesian decision-making, experimental design and original AI algorithms for modeling high-dimensional biological design spaces with interpretable and uncertainty-aware representations. Using these representations, the post holder will develop methods to generate testable hypotheses, propose candidate biological designs, prioritise experiments, reason over biological constraints and learn from experimental feedback. This post will form the design and discovery engine of the Generative Digital Biology programme. Working alongside established foundation model research in the group, the successful candidate will develop methods that connect biological representation learning with generative modelling, reinforcement learning, Bayesian experimental design, active learning, uncertainty quantification, causal modelling, multi-objective optimisation and combinatorial optimisation. The successful candidate will join at a rare moment: early enough to help shape a new AI for Biology programme at EI, but with strong algorithmic foundations, prior publications, existing collaborations and a clear research trajectory already in place. The ambition is to move beyond models that only predict biological properties, towards AI systems that can propose, refine and prioritise biological designs and experiments. Application areas may include sequence and RNA design, regulatory elements, perturbation design, synthetic constructs, cellular states, genotype-to-phenotype landscapes, engineering biology, plant systems, human health and therapeutic discovery collaborations where appropriate. This will be a highly collaborative role embedded across EI. The post holder will work with EI colleagues and platforms to connect AI-designed hypotheses and candidates with biological data, experimental design and validation routes, including potential collaborations with Earlham Biofoundry and engineering biology colleagues on AI-guided design-build-test-learn cycles; with Cellular Genomics and Single-cell and Spatial Analysis on perturbation, cell-state and single-cell/spatial omics use cases; and with BioFAIR, ELIXIR-UK, Open and FAIR Data and Research e-Infrastructure colleagues on AI-ready design datasets, benchmarks, provenance and reproducible workflows. The post holder will be expected to lead high-quality research outputs, publish in leading AI, machine learning, computational biology and life science venues, contribute to open and reproducible algorithms, software and benchmarks, and support future competitive grant applications to UKRI, EPSRC, BBSRC, Wellcome, ERC and related funders. Key Relationships INTERNAL: Reporting to Professor Ke Li, the post holder will work closely with the AI for Biology Group and collaborate across EI's research programmes, National Bioscience Research Infrastructures and technology platforms. Key internal relationships are expected to include BioFAIR, ELIXIR-UK, and Open and FAIR Data colleagues; Research e-Infrastructure; the Cellular Genomics programme; the Single-cell and Spatial Analysis platform; Earlham Biofoundry and engineering biology colleagues; Transformative Genomics; High-Performance Sequencing; and relevant EI scientific groups working on plants, microbes, biodiversity, health, genomics and data-intensive bioscience. The role is intended to help make the AI for Biology Group a collaborative AI engine for EI, supporting AI-ready design datasets, generative-design benchmarks, provenance-aware experimental records, model-guided experimental design and closed-loop discovery workflows across the Institute. Internal and external collaborations may occur as described. EXTERNAL: The post holder will interact with UK and international collaborators in AI, machine learning, computational biology, genomics, single-cell and spatial biology, engineering biology, plant science, human health and therapeutic discovery. External collaborations may include academic, clinical, public-sector, infrastructure and industry partners where appropriate. Main Activities & Responsibilities Percentage Develop original generative, causal AI and optimisation methods for biological design, hypothesis generation, perturbation prioritisation and experimental discovery. For appointment at SC5, take intellectual and operational leadership of a defined generative or closed-loop discovery workstream, set scientific priorities and milestones, manage technical risks, and deliver the work with limited supervision (essential for SC5) 25 Develop theoretical foundations and practical algorithms using approaches such as diffusion models, flow models, autoregressive models, energy-based models, reinforcement learning, Bayesian optimisation, active learning, causal learning, multi-objective optimisation or combinatorial optimisation. 20 Develop closed-loop experimental design methods that combine uncertainty quantification, multi-fidelity modelling, safe exploration, biological constraints and lab-in-the-loop feedback. 15 Integrate foundation models, biological priors, mechanistic knowledge, causal representations, genotype-to-phenotype landscapes or fitness landscapes to guide the design of DNA/RNA/protein sequences and functions, regulatory elements, perturbations, synthetic constructs or cellular states. 15 Collaborate with Earlham Biofoundry, engineering biology, Cellular Genomics, Single-cell and Spatial Analysis, BioFAIR, ELIXIR-UK and other EI colleagues to identify biological use cases, define AI-ready design datasets and prioritise candidates for experimental validation. For appointment at SC5, coordinate the relevant interdisciplinary collaboration and take responsibility for translating methods into a coherent experimental-validation plan (essential for SC5) 10 Develop benchmark tasks, ablation studies, robustness/generalisation analyses, constraint-satisfaction evaluations, uncertainty estimates and biological validity checks for generative and design algorithms. 5 Prepare manuscripts and conference papers for leading AI, machine learning, computational biology and life science venues; present findings internally, nationally and internationally. For appointment at SC5, lead the preparation and submission of major research outputs and represent the work in relevant external forums (essential for SC5) 5 Contribute to research proposals, grant applications, open-source software, reproducible workflows, benchmark documentation and good research practice, including responsible data handling and reproducibility. For appointment at SC5, make substantive contributions to grant development and provide scientific or technical guidance to junior researchers or students (essential for SC5) 5 As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance PhD (awarded or expected within 6 months) in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, Mathematics, Statistics, Physics, Engineering or a related quantitative discipline Essential Specialist Knowledge & Skills Requirement Importance Strong knowledge in one or more of modern machine learning, generative modelling, reinforcement learning, Bayesian optimisation, active learning, uncertainty quantification, multi-objective optimisation or combinatorial optimisation Essential Excellent programming skills in Python and practical experience with PyTorch, JAX, TensorFlow, BoTorch, GPyTorch, Pyro, NumPy/SciPy or equivalent AI/scientific computing frameworks Essential Experience designing, implementing and evaluating original AI algorithms for design, optimisation, decision-making, experimental design, generative modelling or AI-for-science problems Essential Understanding of biological data or design problems, such as high-dimensional combinatorial or mixed-integer search spaces, DNA/RNA/protein sequences, genomics, transcriptomics, single-cell/spatial data, perturbation data, synthetic biology, engineering biology, molecular design or drug discovery Desirable Demonstrable experience in closed-loop or active experimental design, or an equivalent sequential decision-making setting with real-world feedback (essential for SC5) Desirable Experience with biological foundation models, sequence design, inverse design, structure-aware design, perturbation modelling, genotype-to-phenotype modelling or fitness landscapes Desirable A strong track record of independent or semi-independent research in machine learning, AI, computational biology, bioinformatics, or a closely related field (essential for SC5) Desirable Ability to develop and deliver a research direction with limited supervision, including project planning, collaboration and communication with interdisciplinary partners (essential for SC5) Desirable Requirement Importance Experience developing original AI methods rather than only applying existing tools to biological datasets Essential Experience working on generative design, reinforcement learning, Bayesian optimisation, causal discovery, active learning, uncertainty quantification . click apply for full job details

(Senior) Postdoctoral Research Scientist Job Title (Senior) Postdoctoral Research Scientist Post Number Closing Date 20 Sep 2026 Grade SC6 Starting Salary Salary: £39,000-£58,000 Hours per week 37 Project Title Discovering heterogeneous platelet responses to activation upon dietary intervention' Months Duration 9 Job Description Main Purpose of the Job The (Senior) Postdoctoral Research Scientist will join the Wojtowicz lab who investigate the effect of diet on the function of the immune and hematopoietic system. They will study how diet and infection modulate the activity of single immune cells including platelets. The project builds on our recent work where we have observed significant changes in the hematopoietic and immune system function upon acute inflammation in animals undergoing dietary intervention. In this project, the successful candidate will utilise cell lines, primary animal samples, microfluidics platforms and state of the art flow cytometry, to address fundamental questions in platelet biology, heterogeneity and response to activation. This position will also involve the technical development of microfluidic single cell encapsulation methods and consecutive analysis by flow cytometry. This candidate will work closely with the Macaulay group on implementation of the microfluidics and will obtain training from the FACS facility manager to use available FACS analyzer. They will have access to the analysis software and can obtain support from other group members for the data analysis. This position is available at an SC6 level but candidates with sufficient experience in the highlighted areas could be appointed as a Senior Postdoctoral Research Scientist at level SC5. Key Relationships Internal: Line manager, group members and, as necessary, other researchers, research support staff and students across the Institute.External: Industry partners and collaborators across the Norwich Research Park, Nationally and Internationally Main Activities & Responsibilities Percentage Establishing microfluidics protocol for cell/platelet encapsulation 50 FACS analysis of encapsulated cells/platelets 15 Implementation of platelet isolation and activation assays 15 Data analysis and interpretation of generated data 10 As agreed with the line manager, any other duties commensurate with the nature of the post 10 Depending on experience and qualifications, the successful candidate could participate in supervision of students, leading projects and collaborations, and leading on the preparation of data/information for grant proposals essential for SC5 role Person Profile Education & Qualifications Requirement Importance PhD in cell or molecular biology or equivalent Essential Specialist Knowledge & Skills Requirement Importance Ability to troubleshoot protocols Essential Ability to critically review literature Essential Knowledge of flow cytometry or microfluidics Essential Familiarity with the analysis software for flow data Desirable A strong track record of independent or semi-independent research in molecular biology essential for SC5 role Desirable Requirement Importance Experience in writing reports and communicating results to a wider community Essential Experience of planning experiments and discussing results Essential Ability to support the lab operation and development through stock taking, ordering, writing and updating SOPs Essential Experience in animal work Desirable Experience in flow cytometry Desirable Leading projects and collaborations essential for SC5 role Desirable Preparing data / information for grant proposals essential for SC5 role Desirable Management and Leadership Requirement Importance Experience overseeing day-to-day management of the lab essential for SC5 role Desirable Previous experience of supervising students essential for SC5 role Desirable Interpersonal & Communication Skills Requirement Importance Clear presentation of ideas-oral and written Essential Excellent written and verbal communication skills Essential Good interpersonal skills, with the ability to work well as part of the team Essential Demonstrated ability to work independently, showcasing initiative and applying problem solving skills Essential Excellent time management and organisational skills Essential Ability to support the lab operation and development through stock taking, ordering, writing and updating SOPs, mentoring other group members essential for SC5 role Desirable Additional Requirements Requirement Importance Attention to detail Essential Promotes equality and values diversity Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute Essential Ability to maintain confidentiality and security of information where appropriate Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work Essential Ability to undertake occasional travel (national and international) related to collaborations and/or seminars Desirable Who We Are About the Earlham InstituteThe Earlham Institute harnesses the power of data-driven biology to accelerate solutions for health, biodiversity, and food security. Based at Norwich Research Park, the Earlham Institute is one of eight institutes strategically funded by BBSRC. Our science combines world-class technology, interdisciplinary expertise, and training and development across genomics, engineering biology and data science, to decode the scale and complexity of living systems. We believe we can achieve more if we work together. That's why we collaborate with the global science community and industry partners, while also inspiring the next generation of scientists and technical specialists. Our ScienceEarlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make biological predictions. We are home to state-of-the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also provides access to specialised scientific training to upskill the next generation of research and technical staff. Our CultureOur collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally. The Institute is also home to talented technical and operational staff, whose invaluable contributions enable our science to have the maximum impact. We aim to recognise, reward, and develop all staff and students so that every individual feels able to achieve their best with us. We work hard to nurture an engaged and positive workplace, centred on core values that include openness, technical excellence, and collaboration. We attract staff from around the world who contribute to - and benefit from - an environment that enables them to deliver world-class science alongside a supportive and social community. The Wojtowicz lab studies the functional and molecular links between diet, and the host immune response and the hematopoietic system. We have a particular focus on platelets and megakaryocytes biogenesis and function. We apply flow cytometry, lineage tracing, and genomics to study these subjects. We are also actively developing new isolation methods for high throughput and size unbiased cell capture of megakaryocytes and platelets for functional and molecular analysis. The laboratory benefits from a unique access to single cell genomics platforms, long and short read sequencing platforms, high end flow cytometers, synthetic biology facilities (Biofoundry), and close collaboration with bioinformatic groups at the Institute. The Wojtowicz group benefits from active collaborations across the Norwich Research Park. These include the Macaulay group (alternative splicing using short and long read sequencing data), Rushworth group (access to human samples, imaging and metabolomic analysis, and mitochondria biology), Beraza group (host response to infection, gut-liver function and microbiome analysis), and Haerty group (computational analysis of short and long read single cell multiomics data). The group has active national (West group, University of Southampton- development of bespoke microfluidics devices) and international collaborations (Lechman group, University of Toronto & University of Pittsburgh- robust CRISPR-Cas9 genome editing of primary human stem cells). The group also profits from well-established links with industry partners (Pacific Biosciences and Oxford Nanopore) as a part of the Cellular Genomics Institute Strategic Program funded by the BBSRC. The Earlham Institute has a proven track record of rapid implementation of new genomic and single cell technologies. (Senior) Postdoctoral Research Scientist Applications are invited for a (Senior) Postdoctoral Research Scientist to join the Laboratory of Dr Wojtowicz in the Research Faculty of the Earlham Institute, based in Norwich, UK. Background: The Wojtowicz lab studies the functional and molecular links between diet, and the host immune response and the hematopoietic system . click apply for full job details