{"id":2612898,"url":"https://alion.io/job/crick-aiml-postdoctoral-fellow-f-rouhani-lab","title":"AI/ML Postdoctoral Fellow – F Rouhani lab","company":{"id":1761999,"name":"Crick","domain":"crick.ac.uk","url":"https://alion.io/company/crick-ac-uk","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":47500,"max":null,"currency":"GBP","period":"year","gross":null,"usd_annual":62457},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"HPC","optional":true}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-11-03T18:23:31Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"Salary for this Role:\nFrom £47,500, with benefits, subject to skills and experience\nJob Title:\nAI/ML Postdoctoral Fellow - F Rouhani labReports to:\nFoad Rouhani [C]Closing Date:\n23.59 GMTJob Description:\nAI/ML Postdoctoral Fellow - F Rouhani Lab\nContract term: This is a full-time, fixed term (4 years) position on Crick terms and conditions of employment.\nReports to: Foad Rouhani, Group Leader\nSalary for this Role: From £47,500 with benefits, subject to skills and experience\nAbout us\nThe Francis Crick Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.\nThe Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We’ve removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy.\nAbout the TRCE Lab\nThe Tissue Regeneration and Clonal Evolution (TRCE) laboratory is a multidisciplinary research group focused on understanding how organs regenerate and how this knowledge can be harnessed to develop future therapies.\nUsing the liver as a model system, the lab combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during regeneration, ageing and cancer development.\nAbout the role\nWe are seeking an ambitious Postdoctoral Fellow to lead a cutting-edge computational project investigating how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer.\nThis is a highly collaborative and cross-institutional role between the Francis Crick Institute and the Wellcome Sanger Institute. Working closely with the Lotfollahi Lab - leaders in generative AI and foundation models for spatial and single-cell genomics - you will develop and apply state-of-the-art machine learning approaches to large-scale spatial genomics and multi-modal biological datasets.\nThe successful candidate will be embedded across both institutes, benefiting from joint supervision, collaborative meetings and access to world-leading expertise, datasets, computational infrastructure and scientific networks.\nApplicants from machine learning, computer science, statistics, mathematics or related quantitative disciplines are encouraged to apply - prior genomics experience is not essential, and structured training and support will be provided.\nWhat you’ll be doing\nYou will be responsible for:\nDeveloping advanced AI/ML methods for analysing spatial genomics and histology datasets.\nApplying graph neural networks, transformer models and generative AI approaches to study clone-microenvironment interactions.\nIntegrating spatial transcriptomics, single-cell sequencing and imaging datasets.\nDesigning benchmarking strategies and reproducible computational workflows.\nPerforming clonal reconstruction and spatial mapping analyses from genomic datasets.\nCollaborating closely with computational scientists, clinicians and experimental researchers across the Crick and Sanger Institute.\nLeading publications, conference presentations and dissemination of research findings.\nClick to see the full job description\nClick to find out more about the F Rouhani Lab\nAbout you\nEssential:\n(Minimum criteria*)\nPhD (or near submission) in computational biology, machine learning, computer science, statistics or a related quantitative discipline.\nExperience developing and applying deep learning or AI/ML methods to complex scientific datasets.\nStrong programming and scientific computing skills in Python (e.g. numpy, pandas, PyTorch and/or JAX).\nExperience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains.\nExcellent communication, organisational and collaborative working skills.\nAbility to work effectively within interdisciplinary and cross-institutional research teams.\nDesirable\nExperience with spatial transcriptomics or single-cell genomics analysis.\nFamiliarity with graph neural networks, transformers, generative AI or foundation models.\nExperience working with cloud/HPC environments, workflow orchestration or reproducible computational pipelines\nPublications or presentations at leading computational biology or machine learning conferences.\nInterest in cancer biology, tissue regeneration or translational genomics.\nAbout Working at the Crick\nOur values\nEveryone who works at the Crick has a valuable role to play in advancing the Crick’s mission and shaping our culture!\nWe are bold. We make space for creative, dynamic and imaginative ideas and approaches. We’re not afraid to do things differently. \nWe are open. We’re highly collaborative and interactive, and make sure our activities are visible to the outside world. \nWe are collegial. We show respect for one another, work cooperatively and support the wider community. \nAt the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. We are a Disability Confident: Committed employer and want to ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them - just let us know when you apply. If you need assistance with applying (i.e., would like to apply by phone or post) please email: .\nFind out more about life at the Crick.\nWhat will you receive?\nAt the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development:\nVisas: Applicants for this role will be eligible for sponsorship to work in the UK \nGenerous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays. \nPension Scheme: Defined contribution pension with employer contributions of up to 16%. \nHealth & Well-being: \n24/7 GP consultation services. \nOccupational health services and mental health support programs. \nEye care vouchers and discounted healthcare plans. \nWork-Life Balance: \nBack-up care for dependents. \nChildcare support allowance. \nAnnual leave purchase options. \nCrick Networks offering diverse groups’ support, community and inclusive social events.\nPerks: \nDiscounted gym memberships, bike-to-work scheme, and shopping discounts. \nSubsidised on-site restaurant and social spaces for team interaction.\nCareer support: A Post-doc to PI programme and other career development activities\nPlease note you must meet the essential criteria listed within the Role Profile, to have your application reviewed.\nWe reserve the right to withdraw this advert at any given time due to the number of applications received.","description_format":"text","description_chars":7679,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Gym membership"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-15T11:31:08Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.525,"p_room":0.35,"age_days":39,"expected_fill_days":15,"reasons":["conf:7","win:tail"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":62457,"is_top_pay":false},"html_url":"https://alion.io/job/crick-aiml-postdoctoral-fellow-f-rouhani-lab","json_url":"https://alion.io/job/crick-aiml-postdoctoral-fellow-f-rouhani-lab.json","meta":{"generated_at":"2026-11-03T21:06:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":142,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1761999},"rest":"https://alion.io/mcp/rest/get_company?id=1761999"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcrick-aiml-postdoctoral-fellow-f-rouhani-lab"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcrick-aiml-postdoctoral-fellow-f-rouhani-lab"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcrick-aiml-postdoctoral-fellow-f-rouhani-lab"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/crick-aiml-postdoctoral-fellow-f-rouhani-lab\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcrick-aiml-postdoctoral-fellow-f-rouhani-lab"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2612898}},{"tool":"search_jobs","arguments":{"company":"crick.ac.uk","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2612898},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}