Bioprocess Upstream Data Scientist in Harrow on the Hill

Accord Biopharma London is committed to accelerating biopharmaceutical development and simplifying workflows. Our mission is to empower teams to bring innovative biologic therapies to market faster through streamlined experimentation, data-driven insights, and collaborative process optimization across the group. With a focus on upstream cell culture process development, Biopharma R&D has built a platform that integrates products and data management to support mammalian cell culture production. This platform enables efficient process development by merging advanced tools with real-time data analytics, fostering innovation and operational excellence.

We are seeking a proactive and detail-oriented Research Scientist to join our expanding Upstream Process Development team. This full-time position blends hands-on cell culture experimentation with advanced data analytics, supporting day-to-day operations such as cell revival, subculturing, and batch culture maintenance. You will work closely with Ambr250HT, bioreactors and other state-of-the-art equipment to optimize mammalian cell culture parameters across the clone lifecycle—from inoculation to harvest. This role is ideal for someone who thrives at the intersection of experimental biology and computational modelling and is passionate about transforming bioprocess data into actionable insights.

• Design and execute Design of Experiments (DoE) for process optimization, producing data summaries and progress reports.
• Conduct exploratory data analysis (EDA) on small- and large-scale, multi-model, and time-series datasets to uncover novel insights that support process development strategies.
• Perform daily monitoring and data analysis of cell culture parameters (e.g., cell density, viability, metabolite levels) using advanced bioprocess equipment.
• Leverage advancements in machine learning, biostatistics, and bioprocess engineering, applying them to continuously strengthen our platform analytical capabilities.
• Build and maintain reliable systems to clean, organize, and prepare bioprocess data for analysis.
• Develop and validate statistical and machine learning models, integrating them into internal platforms and tools to support data-driven decision-making across bioprocess development workflows.
• Troubleshoot technical activities and support lab documentation (COSHH, risk assessments, SOPs).
• Communicate complex findings through compelling visualizations and reports tailored for both technical and non-technical stakeholders.
• Collaborate with global teams, including colleagues from Intas Pharmaceuticals, to support cross-functional development efforts.

• Bachelor's or Master's degree in Biological Science, Biochemical Engineering, Data Science, Bioinformatics, or a related field.
• Hands-on experience with mammalian cell culture and bioreactor operations.
• Strong knowledge of time-series analysis, differential equations, and statistical modelling.
• Experience applying data science or machine learning in a biotech, pharmaceutical, or bioprocessing environment.
• Familiarity with laboratory documentation and safety protocols.
• Strong communication skills, with the ability to explain complex technical concepts clearly to a diverse group of stakeholders.

• Familiarity with cloud platforms (AWS, GCP, Azure) and basic understanding of data storage or analysis tools.
• Experience with data science libraries, Python, SQL for analysing bioprocess data.
• Knowledge of numerical optimization techniques and ODE modelling is a plus.
• Exposure to reproducible research practices, and interest in CI/CD, MLOps, concepts.
• Enthusiasm for mentorship, teamwork, and continuous learning.
• A practical and thoughtful approach to problem solving, with a focus on efficiency and impact.

In return, we offer a competitive salary package (with bonus, holiday and pension scheme), and a range of other benefits to support our team. Not to mention the opportunity to be part of a new department within a progressive and expanding business with increasing global reach, and the support of ongoing training and development.

If you possess the experience, passion and ability to make this role a success then we would like to hear from you. Please complete your Candidate Profile on our careers site to apply for this role. The closing date is 21st January 2026. For more information, you can contact us on: careers@accord-healthcare.com