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About the Role

We are seeking a Postdoctoral Project Research Scientist to lead machine learning, machine vision, and data integration work across the VISIBLE platform. This role involves developing analysis pipelines to convert microscopy, live imaging, and complex biological datasets into actionable information for automated decision-making, quality control, and downstream biological interpretation. This is a rare opportunity to join VISIBLE at a defining moment as the project moves toward a potential spin-out company, allowing the successful candidate to help shape the technology, workflows, and technical direction.

Responsibilities

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.

Requirements

PhD 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 PyTorch, TensorFlow, scikit-learn, NumPy, 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.
Experience with microscopy image analysis, bioimage informatics, organoid/spheroid image datasets, high-content screening, or live-cell imaging data (desirable).
Experience integrating image analysis outputs with functional, screening, transcriptomic, proteomic, or other biological datasets (desirable).
Experience with software control of instruments, automation platforms, robotics-oriented software engineering, firmware, or hardware/software interfaces (desirable).
Experience working within interdisciplinary research, translational biology, biotech, drug discovery, or platform-development environments (desirable).

Skills

Machine Learning
Deep Learning
Machine Vision
Computer Vision
Data Integration
Python
PyTorch
TensorFlow
scikit-learn
NumPy
pandas

Location

Crick

Work Type

Full-time
Fixed term (2-year)

Experience Level

Postdoctoral

Education Level

Salary/Compensations

From £47,500

Benefits

Sponsorship to work in the UK
28 days of annual leave, plus three additional days over Christmas and bank holidays
Defined contribution pension with employer contributions of up to 16%
24/7 GP consultation services
Occupational health services and mental health support programs
Eye care vouchers and discounted healthcare plans
Back-up care for dependents
Childcare support allowance
Annual leave purchase options
Crick Networks offering diverse groups’ support, community and inclusive social events
Discounted gym memberships
Bike-to-work scheme
Shopping discounts
Subsidised on-site restaurant and social spaces for team interaction
A Post-doc to PI programme and other career development activities

About the Company

The Serio Lab brings together stem-cell biology, bioengineering, microscopy, automation, and disease modelling to build next-generation experimental systems for human biology.
VISIBLE is a new imaging-driven platform designed to transform how complex biological models such as organoids and engineered tissues are built, monitored, and analysed.
The Francis Crick Institute is Europe’s largest biomedical research institute under one roof, where world-class scientists and staff collaborate on vital research to help prevent, diagnose, and treat illnesses.
The Crick is a place for collaboration, innovation, and exploration across many disciplines, supporting researchers in a dynamic environment with state-of-the-art infrastructure and cutting-edge facilities.
The Francis Crick Institute is a charity, founded by the Medical Research Council, Cancer Research UK, Wellcome, UCL (University College London), Imperial College London, and King’s College London.

Equal Opportunity

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.