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Senior Machine Learning Scientist

1 hour, 15 minutes ago
United Kingdom
Full-time
Senior
Data Scientist
Data Science and Analytics
Deep Learning LLM Machine Learning Python Statistics
Apply Now
Flagship Pioneering

Flagship Pioneering

Flagship Pioneering is a biotechnology firm that invents and develops innovative life science platforms and companies aimed at transforming human health and promoting sustainability.

Biotechnology
251-1K
Founded 1999
View All Jobs 10

Description

  • Build machine learning models for genomic, single-cell, perturbation, and phenotype data.
  • Develop agentic AI workflows that help scientists analyze data, test hypotheses, and make better decisions.
  • Use AI coding tools to accelerate development while keeping code reliable, readable, tested, and reproducible.
  • Train and fine-tune foundation models, language models, and representation learning methods for target discovery.
  • Model relationships between genotype, cell state, perturbation response, causal biology, and disease.
  • Collaborate closely with computational scientists, experimental biologists, software engineers, and target discovery teams.
  • Communicate results clearly, including model assumptions, limitations, and next steps.

Requirements

  • PhD, Master’s degree, or equivalent experience in machine learning, computer science, computational biology, genomics, bioinformatics, statistics, engineering, or a related field.
  • Strong Python coding skills and experience building practical deep learning or machine learning systems.
  • Experience using AI coding tools, coding assistants, LLM-based workflows, or agentic development tools.
  • Experience training, evaluating, or applying machine learning models to complex real-world data.
  • Depth in one or more of the following areas: biomedical foundation models, agentic AI, Perturb-seq, single-cell genomics, genotype–phenotype modeling, causal inference, perturbation modeling, or large-scale biological datasets.
  • Evidence of technical depth through papers, thesis work, open-source projects, industry projects, or substantial hands-on applied research.
  • Strong candidates may come from academia, industry, open-source work, or hands-on research.
  • You do not need to meet every qualification to apply.

Interested in this position?

Apply directly on the company website

Apply Now

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