Data Scientist — Antibody Design & ML (Hybrid)

LabGenius Limited; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

LabGenius is seeking a Data Scientist to provide end-to-end data science support for at least one therapeutic asset, guiding the design-build-test-learn cycles of antibody optimisation. You will enable a data-first ecosystem by processing complex datasets and extracting key insights, with an emphasis on Bayesian modelling and ML techniques.

You will work in a hybrid setting with a Bermondsey office presence and occasional collaboration with wet lab scientists and software engineers to push our

Qualifications

• Experience solving biomedical data science problems with statistical analyses and visualisation of experimental data.
• Advanced applied statistics (Bayesian statistics, hierarchical/mixed-effects models).
• Experience deploying data analysis pipelines and code to production; proficient in Python, cloud computing, Git and SQL.
• Biological domain experience, ideally with antibody/protein sequence, structure or assay data.

Responsibilities

• Provide end-to-end data science support for therapeutic assets from lead discovery to clinical trials.
• Drive DBTL cycles and candidate proposals for rapid experimental characterisation.
• Represent data science in cross-functional teams with wet lab, program leads and software developers.
• Onboard data pipelines, analyses, statistical models, ML models, and visualisations for experiments.
• Develop methods for antibody molecule engineering and drug development problems from target ID to pre-clinical operations.
• Tackle Bayesian and Active Learning optimisation problems; write high-quality code to maintain and enhance technology.
• Contribute to a data-first ecosystem by processing complex datasets and extracting insights.

Skills

Python

Cloud computing

Git

SQL

Bayesian statistics

Hierarchical models

Data visualization

Cross-functional collaboration

Education

MS/PhD in Biomedical Data Science or Biostatistics

Tools

Python (code)

SQL

Git

Cloud platforms (AWS/GCP)

Jupyter/Notebook

Job description

LabGenius is seeking a Data Scientist to provide end-to-end data science support for at least one therapeutic asset, guiding the design-build-test-learn cycles of antibody optimisation. You will enable a data-first ecosystem by processing complex datasets and extracting key insights, with an emphasis on Bayesian modelling and ML techniques.

You will work in a hybrid setting with a Bermondsey office presence and occasional collaboration with wet lab scientists and software engineers to push our