Senior Bioprocess Data Scientist

4 days ago


Oxford, Oxfordshire, United Kingdom Cranleigh Scientific Ltd Full time

Cranleigh Scientific Ltd is seeking a skilled Bioprocess Data Scientist to join our R&D team, focusing on leveraging machine learning techniques to analyze cell culture experimental results and automate data review for bioprocess development. In this role, you will collaborate closely with biologists, automation scientists, and chemical engineers to drive innovation in mammalian cell line engineering, media formulation, and bioprocess optimization.

About the Role:

You will be responsible for developing advanced statistical models and predictive algorithms using cutting-edge machine learning methods. Your work will involve analyzing large datasets from internal and external sources, applying AI/ML methods to research datasets, and collaborating daily with research scientists and bioprocess engineers. This is an excellent opportunity to contribute to commercial products and make a meaningful impact in the biopharma industry.

Key Responsibilities:
  • Data Analysis and Modelling: Develop and refine predictive models, algorithms, and performance evaluations using machine learning techniques to analyze cell culture experimental results and optimize bioprocesses.
  • AI/ML Application: Apply and refine AI/ML methods (e.g., classification, clustering, deep learning) to research datasets—such as cell culture, Design of Experiments (DoE), media formulation, and bioprocess optimization—to automate data review, improve decision-making, and deepen bioprocess understanding.
  • Collaboration: Work closely with cross-functional teams, including biologists, automation scientists, and chemical engineers, to integrate machine learning insights into bioprocess development.
  • Quantitative Methods: Contribute to experimental design, customized data visualization, and analysis solutions aligned with study objectives, innovating new quantitative methods and uncovering novel analysis opportunities by integrating diverse data sources.
Requirements:
  • Educational Background: M.Sc. or Ph.D. in AI/ML, Data Analytics, or a related field (e.g., Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology, or Engineering Science).
  • Experience: Industry experience in biopharma/biotech preferred, with demonstrated success in applying ML/Deep Learning.
  • Technical Expertise:
    • Proficient in advanced statistics, ML/DL methods, and various network architectures (e.g., CNNs, GANs, RNNs, Auto-Encoders, Transformers, PLMs).
    • Skilled in data manipulation and programming.
    • Proficiency in data analysis tools (e.g., Python, R) and deep learning libraries (e.g., PyTorch, TensorFlow, Keras).
    • Familiar with data visualization and dimensionality reduction techniques.
    • Capable of developing, benchmarking, and deploying predictive algorithms.
What We Offer:
  • Salary: £80,000 - £110,000 per annum, depending on experience, plus bonus and benefits package.
  • Benefits: Private health insurance, company shares, team get-togethers, company parties, well-stocked kitchen, free flowing tea, coffee, soft drinks, and snacks.


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