Karlstad University
Hinxton, Essex
Postdoctoral Fellow- Computational Biology and Machine Learning Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life changing science to solve some of humanity's greatest challenges. We are hiring a Postdoctoral Fellow/Senior Postdoctoral Fellow to join our interdisciplinary team at the forefront of computational biology and AI for a 3 year fixed term contract. You will contribute to (lead - Senior Postdoctoral Fellow) transformative projects that integrate single cell genomics, spatial transcriptomics, and generative AI to build next generation models for understanding tissue biology and cellular dynamics across organs such as the pancreas, kidney, skin, and liver. We welcome applicants from diverse technical and scientific backgrounds - from those interested in fundamental questions in biology and medicine, to those focused on ML/AI method development. We are particularly excited to work with individuals who are passionate about biology, foundation model development, modelling cellular perturbation responses, predicting patient behaviours, and analysing multi modal biological data. Available Research Focus Areas 1. Spatial & Multi omics Atlas Construction Build large scale spatial and single cell atlases across diseased tissues (pancreas, kidney, skin, liver) using spatial transcriptomics, scRNA seq, and multiome data in collaboration with leading Sanger groups. 2. Generative AI for Cell Fate & Perturbations Develop diffusion, flow matching, and transformer based generative models to predict cell fate, tissue remodelling, and drug or perturbation responses in silico. 3. Foundational Models for Single Cell Biology Train large, generalisable deep models across public and internal datasets to support the Human Cell Atlas and broad Sanger research programmes. 4. Open Targets Translational AI Projects Apply foundational and multi omics models to real world challenges in drug discovery, target identification, and target safety in collaboration with major pharma partners. 5. Agentic AI for Scientific Reasoning & Experiment Design (new) Develop AI agents capable of hypothesis generation, experiment planning, and multi step scientific workflows using reinforcement learning and tool use models. 6. Core Machine Learning Research Advance fundamental ML methods-including advanced generative modelling, scalable training algorithms, representation learning, and uncertainty modelling-tailored for biological data. 7. Multimodal Learning (Imaging + Genomics + Clinical Data) Create models that integrate histopathology imaging, spatial proteomics, single cell genomics, and patient level clinical data to learn unified biological and clinical representations. 8. Leap Project We are interested in developing large scale AI models to stratify patients using diverse multi omics data, with a strong commitment to equity and inclusion, particularly in women's health. The Open Targets (OT) research programme generates and analyses data to connect targets to diseases, assess the strength of this evidence, and help identify and prioritise targets for drug discovery. This includes evidence that causally links targets and diseases, as well as foundational data that helps us understand biological processes and disease progression more deeply. About Us You will join the Lotfollahi Group, an interdisciplinary team of ML researchers, computational biologists, clinicians and experimentalists. Our mission is to develop data driven and biologically grounded AI tools for decoding complex cellular systems. We collaborate closely with the Human Cell Atlas, Sanger's single cell programmes, and international leaders in the field. Key Publications and References Akbar Nejat et al., Mapping and reprogramming human tissue microenvironments with MintFlow (bioRxiv, 2025) Birk et al., Quantitative characterization of cell niches in spatially resolved omics data, Nature Genetics (2025) Jeong et al., SIGMMA: Hierarchical Graph Based Multi Scale Multi modal Contrastive Alignment of Histopathology Image and Spatial Transcriptome (arXiv, 2025) Sanian et al., 3D Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology (arXiv, 2025) What We Offer Access to unique in house datasets and world class computational infrastructure Opportunities to co lead publications and present at ML and genomics conferences Collaborative and inclusive environment with strong mentorship culture We are looking for enthusiastic researchers with a strong computational or quantitative background. Qualifications PhD in a relevant subject area, or on track to be awarded your PhD within 6 months of starting the role Proven ability to deliver research projects A track record of demonstrating research excellence and expertise in your area of research Experience in advanced statistical techniques, machine learning and modern deep learning techniques Experience with single cell omics, spatial transcriptomics, or large scale biological data integration Knowledge of Python, including core data science libraries such as Scikit Learn, SciPy, TensorFlow and PyTorch Knowledge of software development good practices and collaboration tools, including git based version control, python package management and code Proven ability to develop and maintain effective working relationships with a wide range of persons of differing level, abilities and knowledge Foster an inclusive culture where all can thrive and diversity is celebrated Team player with the ability to work with others in a collegiate and collaborative environment Ability to effectively communicate ideas and results and present orally to groups Commitment to personal development and updating of knowledge and skills Ability to prioritise, multi task and work independently Detail oriented, strong organisational and problem solving skills Additional Skills for Senior Postdoctoral Fellow Strong knowledge of Python, including core data science libraries such as Scikit Learn, SciPy, TensorFlow and PyTorch Proven experience using advanced statistical techniques, machine learning and modern deep learning techniques Proven ability to work independently and deliver research projects Relevant solid publication record in either machine learning or application of machine learning in biology Strong influencing skills to engage with internal and external stakeholders Critical and analytic thinking around problems Demonstrable good time management and project management skills Application Process Please submit your CV and a cover letter detailing your research experience, interest in the focus area(s), and future aspirations. Closing Date 1st February 2026 Equality, Diversity and Inclusion Equality, Diversity and Inclusion: We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with the following staff networks: LGBTQ+, Parents and Carers, Disability and Race Equity to bring people together to share experiences, offer specific support and development opportunities and raise awareness. The networks are also a place for allies to provide support to others. We want our people to be whoever they want to be because we believe people who bring their best selves to work, do their best work. That's why we're committed to creating a truly inclusive culture at Sanger Institute. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive. We are proud to deliver an awarding campus wide employee wellbeing strategy and programme. The importance of good health and adopting a healthier lifestyle and the commitment to reduce work related stress is strongly acknowledged and recognised at Sanger Institute. Sanger Institute became a signatory of the International Technician Commitment initiative in March 2018. The Technician Commitment aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines. Every year the Wellcome Sanger Institute supports the visits of dozens of overseas researchers from across the globe to the Genome campus to collaborate, share insights and to undertake groundbreaking scientific research. Our reliable in house service provides expert advice and guidance to support current and prospective staff, and visitors at various points of their journey. We are able to provide guidance through your entire journey, from initial visa application through to extensions and applications of Indefinite Leave to Remain, the service is proud to support your personal applications and those of your dependants and family members. Wellcome Trust Genome Campus, Hinxton Saffron Walden, United Kingdom
Postdoctoral Fellow- Computational Biology and Machine Learning Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life changing science to solve some of humanity's greatest challenges. We are hiring a Postdoctoral Fellow/Senior Postdoctoral Fellow to join our interdisciplinary team at the forefront of computational biology and AI for a 3 year fixed term contract. You will contribute to (lead - Senior Postdoctoral Fellow) transformative projects that integrate single cell genomics, spatial transcriptomics, and generative AI to build next generation models for understanding tissue biology and cellular dynamics across organs such as the pancreas, kidney, skin, and liver. We welcome applicants from diverse technical and scientific backgrounds - from those interested in fundamental questions in biology and medicine, to those focused on ML/AI method development. We are particularly excited to work with individuals who are passionate about biology, foundation model development, modelling cellular perturbation responses, predicting patient behaviours, and analysing multi modal biological data. Available Research Focus Areas 1. Spatial & Multi omics Atlas Construction Build large scale spatial and single cell atlases across diseased tissues (pancreas, kidney, skin, liver) using spatial transcriptomics, scRNA seq, and multiome data in collaboration with leading Sanger groups. 2. Generative AI for Cell Fate & Perturbations Develop diffusion, flow matching, and transformer based generative models to predict cell fate, tissue remodelling, and drug or perturbation responses in silico. 3. Foundational Models for Single Cell Biology Train large, generalisable deep models across public and internal datasets to support the Human Cell Atlas and broad Sanger research programmes. 4. Open Targets Translational AI Projects Apply foundational and multi omics models to real world challenges in drug discovery, target identification, and target safety in collaboration with major pharma partners. 5. Agentic AI for Scientific Reasoning & Experiment Design (new) Develop AI agents capable of hypothesis generation, experiment planning, and multi step scientific workflows using reinforcement learning and tool use models. 6. Core Machine Learning Research Advance fundamental ML methods-including advanced generative modelling, scalable training algorithms, representation learning, and uncertainty modelling-tailored for biological data. 7. Multimodal Learning (Imaging + Genomics + Clinical Data) Create models that integrate histopathology imaging, spatial proteomics, single cell genomics, and patient level clinical data to learn unified biological and clinical representations. 8. Leap Project We are interested in developing large scale AI models to stratify patients using diverse multi omics data, with a strong commitment to equity and inclusion, particularly in women's health. The Open Targets (OT) research programme generates and analyses data to connect targets to diseases, assess the strength of this evidence, and help identify and prioritise targets for drug discovery. This includes evidence that causally links targets and diseases, as well as foundational data that helps us understand biological processes and disease progression more deeply. About Us You will join the Lotfollahi Group, an interdisciplinary team of ML researchers, computational biologists, clinicians and experimentalists. Our mission is to develop data driven and biologically grounded AI tools for decoding complex cellular systems. We collaborate closely with the Human Cell Atlas, Sanger's single cell programmes, and international leaders in the field. Key Publications and References Akbar Nejat et al., Mapping and reprogramming human tissue microenvironments with MintFlow (bioRxiv, 2025) Birk et al., Quantitative characterization of cell niches in spatially resolved omics data, Nature Genetics (2025) Jeong et al., SIGMMA: Hierarchical Graph Based Multi Scale Multi modal Contrastive Alignment of Histopathology Image and Spatial Transcriptome (arXiv, 2025) Sanian et al., 3D Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology (arXiv, 2025) What We Offer Access to unique in house datasets and world class computational infrastructure Opportunities to co lead publications and present at ML and genomics conferences Collaborative and inclusive environment with strong mentorship culture We are looking for enthusiastic researchers with a strong computational or quantitative background. Qualifications PhD in a relevant subject area, or on track to be awarded your PhD within 6 months of starting the role Proven ability to deliver research projects A track record of demonstrating research excellence and expertise in your area of research Experience in advanced statistical techniques, machine learning and modern deep learning techniques Experience with single cell omics, spatial transcriptomics, or large scale biological data integration Knowledge of Python, including core data science libraries such as Scikit Learn, SciPy, TensorFlow and PyTorch Knowledge of software development good practices and collaboration tools, including git based version control, python package management and code Proven ability to develop and maintain effective working relationships with a wide range of persons of differing level, abilities and knowledge Foster an inclusive culture where all can thrive and diversity is celebrated Team player with the ability to work with others in a collegiate and collaborative environment Ability to effectively communicate ideas and results and present orally to groups Commitment to personal development and updating of knowledge and skills Ability to prioritise, multi task and work independently Detail oriented, strong organisational and problem solving skills Additional Skills for Senior Postdoctoral Fellow Strong knowledge of Python, including core data science libraries such as Scikit Learn, SciPy, TensorFlow and PyTorch Proven experience using advanced statistical techniques, machine learning and modern deep learning techniques Proven ability to work independently and deliver research projects Relevant solid publication record in either machine learning or application of machine learning in biology Strong influencing skills to engage with internal and external stakeholders Critical and analytic thinking around problems Demonstrable good time management and project management skills Application Process Please submit your CV and a cover letter detailing your research experience, interest in the focus area(s), and future aspirations. Closing Date 1st February 2026 Equality, Diversity and Inclusion Equality, Diversity and Inclusion: We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with the following staff networks: LGBTQ+, Parents and Carers, Disability and Race Equity to bring people together to share experiences, offer specific support and development opportunities and raise awareness. The networks are also a place for allies to provide support to others. We want our people to be whoever they want to be because we believe people who bring their best selves to work, do their best work. That's why we're committed to creating a truly inclusive culture at Sanger Institute. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive. We are proud to deliver an awarding campus wide employee wellbeing strategy and programme. The importance of good health and adopting a healthier lifestyle and the commitment to reduce work related stress is strongly acknowledged and recognised at Sanger Institute. Sanger Institute became a signatory of the International Technician Commitment initiative in March 2018. The Technician Commitment aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines. Every year the Wellcome Sanger Institute supports the visits of dozens of overseas researchers from across the globe to the Genome campus to collaborate, share insights and to undertake groundbreaking scientific research. Our reliable in house service provides expert advice and guidance to support current and prospective staff, and visitors at various points of their journey. We are able to provide guidance through your entire journey, from initial visa application through to extensions and applications of Indefinite Leave to Remain, the service is proud to support your personal applications and those of your dependants and family members. Wellcome Trust Genome Campus, Hinxton Saffron Walden, United Kingdom
University of Glasgow
City, Glasgow
Job Purpose We have an exciting opportunity for an experienced Research Fellow to make a leading contribution to cancer research and related fields working with PIs within the School of Cancer Sciences (SCS) and across the CRUK Scotland Institute (CRUK SI). The successful candidate is afforded the opportunity to establish independence in their own area of cancer research, building a research group and applying for substantive, external fellowship funding during this Fellowship. They are expected to make a leading contribution to the formulation and submission of research publications and research proposals, in addition to participation in other collegiate activities in SCS (eg VOICE, AthenaSWAN, NERD). Main Duties and Responsibilities Play a leading role in the management and development of the project and to work independently and in collaboration to bring the project to a successful completion including establishing and maintaining external collaborations both nationally and internationally. Play a leading role in the planning, design and conduct of research, individually or jointly, in accordance with the project deliverables and project/School/College/University research strategy. Establish and maintain an extensive research profile and reputation and that of the University of Glasgow/ School/ Research Group, sustaining a track record of independent and joint publications of international quality in high profile/quality refereed publications, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem. Play a leading role in the presentation of research findings at high profile national and international conferences, seminars and meetings to enhance the research profile of the project/Institute/College/University. Lead the development, both independently and in collaboration with others (including stakeholders) of the identification of potential funding sources and lead in the development of proposals to secure funding from internal and external bodies to support future research of international quality. Take a leading role in developing and maintaining collaborations with colleagues across the project and in the broader Institute/College/University and wider community (e.g. academic and other collaborators/partners). Play a leading role in the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development. Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure. Supervise Masters students and act as co-supervisor to PhD students as assigned by the Head of School/Director of Education and/or Senior Group Leader. Perform administrative tasks related to the activities of the project, research group and School, including budgets/expenditure. Keep up to date with current knowledge and recent advances in the field/discipline in order to provide advice and guidance to students and less experienced colleagues. Engage in personal, professional and career development, to enhance both specialist and transferable skills in accordance with desired career trajectory. Undertake any other reasonable duties as required by the Head of School/Director of Research Institute. Contribute to the enhancement of the University's international profile in line with the University Strategy, World Changing Glasgow 2025. Knowledge, Qualifications, Skills and Experience Qualifications Essential A1 Scottish Credit and Qualifications Framework level 12 (PhD) or equivalent in a relevant subject area related to cancer research. Knowledge & Skills Essential C1 A comprehensive and up-to-date knowledge of current issues and future directions within cancer research and related fields C2 Specialist theoretical and practical knowledge in areas relevant to cancer research C3 Knowledge of project/field-specific technical models, equipment or techniques C4 An established track record of presentation and publication of research results in quality publications and/or at conferences. Experience Essential E1 Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in a related field, appropriate to an early career researcher E2 Substantial, relevant research experience in a related field E3 Experience of delivering quality outputs in a timely and efficient manner E4 An established national/international profile E5 Experience of making a leading contribution in academic activities E6 Experience of independence as illustrated by identification of project objectives from assessment of literature, design and analysis of research data and drafting of papers E7 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication. E8 Proven commitment to supporting career development of colleagues and to other forms of collegiality appropriate to the career stage. Please contact or for informal enquiries. Terms and Conditions Salary will be Grade 8, £50,253 - £58,225 per annum. This post is full time, and has funding for up to 3 years with possibility of an extension. Benefits A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook , benefits and discount packages. A flexible approach to working. A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community We endorse the principles of Athena Swan and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website for more information. Closing date 18 January 2026 at 23:45
Job Purpose We have an exciting opportunity for an experienced Research Fellow to make a leading contribution to cancer research and related fields working with PIs within the School of Cancer Sciences (SCS) and across the CRUK Scotland Institute (CRUK SI). The successful candidate is afforded the opportunity to establish independence in their own area of cancer research, building a research group and applying for substantive, external fellowship funding during this Fellowship. They are expected to make a leading contribution to the formulation and submission of research publications and research proposals, in addition to participation in other collegiate activities in SCS (eg VOICE, AthenaSWAN, NERD). Main Duties and Responsibilities Play a leading role in the management and development of the project and to work independently and in collaboration to bring the project to a successful completion including establishing and maintaining external collaborations both nationally and internationally. Play a leading role in the planning, design and conduct of research, individually or jointly, in accordance with the project deliverables and project/School/College/University research strategy. Establish and maintain an extensive research profile and reputation and that of the University of Glasgow/ School/ Research Group, sustaining a track record of independent and joint publications of international quality in high profile/quality refereed publications, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem. Play a leading role in the presentation of research findings at high profile national and international conferences, seminars and meetings to enhance the research profile of the project/Institute/College/University. Lead the development, both independently and in collaboration with others (including stakeholders) of the identification of potential funding sources and lead in the development of proposals to secure funding from internal and external bodies to support future research of international quality. Take a leading role in developing and maintaining collaborations with colleagues across the project and in the broader Institute/College/University and wider community (e.g. academic and other collaborators/partners). Play a leading role in the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development. Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure. Supervise Masters students and act as co-supervisor to PhD students as assigned by the Head of School/Director of Education and/or Senior Group Leader. Perform administrative tasks related to the activities of the project, research group and School, including budgets/expenditure. Keep up to date with current knowledge and recent advances in the field/discipline in order to provide advice and guidance to students and less experienced colleagues. Engage in personal, professional and career development, to enhance both specialist and transferable skills in accordance with desired career trajectory. Undertake any other reasonable duties as required by the Head of School/Director of Research Institute. Contribute to the enhancement of the University's international profile in line with the University Strategy, World Changing Glasgow 2025. Knowledge, Qualifications, Skills and Experience Qualifications Essential A1 Scottish Credit and Qualifications Framework level 12 (PhD) or equivalent in a relevant subject area related to cancer research. Knowledge & Skills Essential C1 A comprehensive and up-to-date knowledge of current issues and future directions within cancer research and related fields C2 Specialist theoretical and practical knowledge in areas relevant to cancer research C3 Knowledge of project/field-specific technical models, equipment or techniques C4 An established track record of presentation and publication of research results in quality publications and/or at conferences. Experience Essential E1 Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in a related field, appropriate to an early career researcher E2 Substantial, relevant research experience in a related field E3 Experience of delivering quality outputs in a timely and efficient manner E4 An established national/international profile E5 Experience of making a leading contribution in academic activities E6 Experience of independence as illustrated by identification of project objectives from assessment of literature, design and analysis of research data and drafting of papers E7 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication. E8 Proven commitment to supporting career development of colleagues and to other forms of collegiality appropriate to the career stage. Please contact or for informal enquiries. Terms and Conditions Salary will be Grade 8, £50,253 - £58,225 per annum. This post is full time, and has funding for up to 3 years with possibility of an extension. Benefits A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook , benefits and discount packages. A flexible approach to working. A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community We endorse the principles of Athena Swan and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website for more information. Closing date 18 January 2026 at 23:45
