At a Glance
- Tasks: Develop machine learning workflows and build machine vision pipelines for innovative biological research.
- Company: Join the Francis Crick Institute, a leader in biomedical research and innovation.
- Benefits: Enjoy competitive salary, generous leave, health support, and career development opportunities.
- Other info: Diverse and inclusive workplace with excellent growth potential.
- Why this job: Make a real impact at the intersection of science, technology, and entrepreneurship.
- Qualifications: PhD in relevant fields with strong experience in machine learning and coding.
The predicted salary is between 47500 - 47500 £ per year.
Postdoctoral Project Research Scientist – Machine Learning, Machine Vision & Data Integration
Reports to: Andrea Serio
Contract: Full‑time, fixed term (2‑year) position on Crick terms and conditions of employment.
About the Serio Lab & VISIBLE
The Serio Lab brings together stem‑cell biology, bioengineering, microscopy, automation and disease modelling to build next‑generation experimental systems for human biology.
At the centre of this work is VISIBLE – a new imaging‑driven platform designed to transform how complex biological models such as organoids and engineered tissues are built, monitored and analysed.
Combining live imaging, automation, environmental control and biofabrication within one modular system, VISIBLE enables researchers to interact with biological systems in entirely new ways.
We are now looking for talented scientists and engineers to help take VISIBLE from an advanced academic platform into an exciting future spin‑out company.
This is a rare opportunity to work at the intersection of science, technology and entrepreneurship, while remaining embedded within a world‑leading biomedical research institute.
- What you’ll be doing
- Developing machine learning and deep learning workflows for analysis of microscopy, live‑imaging and high‑content imaging data from organoids, spheroids and other complex in vitro models.
- Building machine vision pipelines for segmentation, classification, tracking, feature extraction, phenotypic profiling and automated quality control.
- Developing, training, validating and deploying DNN‑based models that support imaging‑guided selection, sampling and intervention decisions on the VISIBLE platform.
- Integrating imaging‑derived features with other biological datasets, including functional readouts, screening data and downstream molecular or omics datasets.
- Working closely with biologists, engineers and software developers to translate biological questions into robust computational workflows and user‑facing analysis tools.
- Writing high‑quality, maintainable code, preparing technical documentation, and supporting reproducible data analysis practices across the programme.
- Contributing to the long‑term development of VISIBLE as an analysis‑ and AI‑enabled platform for closed‑loop experimental biology.
About you (Minimum Criteria)
- Essential
- Ph D in computer science, data science, machine learning, computational biology, bioimage analysis, bioengineering, physics or a related discipline, or equivalent experience.
- Strong experience in machine learning, deep learning, computer vision or machine vision applied to imaging data.
- Experience developing DNN‑based analysis pipelines for microscopy, high‑content imaging, live‑cell imaging or related image‑based datasets.
- Advanced coding and software engineering experience, for example in Python and relevant ML/data science frameworks such as Py Torch, Tensor Flow, scikit‑learn, Num Py, pandas or similar.
- Experience with data analysis, model validation, reproducible computational workflows and integration of complex biological or imaging datasets.
- Strong communication, troubleshooting and collaborative working skills, with the ability to work across computational, biological and engineering teams.
- Desirable
- Experience with microscopy image analysis, bioimage informatics, organoid/spheroid image datasets, high‑content screening or live‑cell imaging data.
- Experience integrating image analysis outputs with functional, screening, transcriptomic, proteomic or other biological datasets.
- Experience with software control of instruments, automation platforms, robotics‑oriented software engineering, firmware or hardware/software interfaces.
- Experience working within interdisciplinary research, translational biology, biotech, drug discovery or platform‑development environments.
- Inclusion & EEO Statement
At 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:
- What will you receive
- Visas: Applicants for this role will be eligible for sponsorship to work in the UK.
- Generous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays.
- Pension Scheme: Defined contribution pension with employer contributions of up to 16%.
- Health & Well‑being: 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans.
- Work‑Life
Balance: Back‑up care for dependents.
Childcare support allowance.
Annual leave purchase options.
Crick Networks offering diverse groups’ support, community and inclusive social events.
- Perks: Discounted gym memberships, bike‑to‑work scheme, and shopping discounts. Subsidised on‑site restaurant and social spaces for team interaction.
- Career support: A Post‑doc to PI programme and other career development activities.
- #J-18808-Ljbffr
Postdoctoral Project Research Scientist - Machine Learning, Machine Vision & Data Integration -[...] in London employer: Francis Crick Institute Ltd
The Francis Crick Institute is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation and exploration in biomedical research. With generous benefits including 28 days of annual leave, a robust pension scheme, and comprehensive health and well-being support, employees are empowered to thrive both personally and professionally. The institute's commitment to diversity and inclusion, alongside opportunities for meaningful impact within a world-class organisation, makes it an attractive place for those seeking to contribute to groundbreaking scientific advancements.
Contact Details:
Francis Crick Institute Ltd Recruitment Team
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