Senior Data Scientist | Biomedical AI

Understanding Recruitment; Greater London; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A pioneering biotech company in Greater London is seeking a Senior Data Scientist to use AI for biomedical discovery. You will develop models for time-series data, mentor junior researchers, and collaborate with an exceptional team. Candidates should possess strong ML skills and a relevant MSc/PhD. This role offers a competitive salary, equity, and the opportunity to lead impactful projects.

Benefits

Competitive package

Equity

Genuine growth opportunities

Qualifications

• Strong experience in machine learning and data analysis.
• Proven ability to apply advanced algorithms to real-world problems.
• A curious, self-driven mindset and passion for applied science.

Responsibilities

• Develop and deploy models for sequential and time-series data.
• Define modelling strategies and drive key technical decisions.
• Build scalable, reproducible data pipelines.
• Mentor junior researchers and champion best ML practices.

Skills

Strong Python and ML toolkit (NumPy, PyTorch/TensorFlow, pandas, SciPy)

Experience with sequence models (RNNs, LSTMs, Transformers)

Solid grounding in probabilistic or Bayesian methods

5+ years of hands-on ML experience

Education

MSc/PhD in a quantitative field (Maths, Physics, CS, etc.)

Job description

🧬 Senior Data Scientist | Biomedical AI

📍 London / Hybrid 💼 Full-time 💰 Competitive Salary + Equity

Join a pioneering biotech using AI to decode complex, noisy time-series data — transforming how we understand human biology.

As a Senior Data Scientist, you’ll own projects end-to-end: designing, building, and deploying algorithms that power next‑generation biomedical discovery. Expect to blend deep learning, probabilistic modelling, and dynamic programming to solve real‑world biological problems.

Why you’ll love it

• 🔬 Purposeful work:Apply AI to advance human health
• 🚀 Real impact:Lead projects with ownership from day one
• 🤝 Exceptional team:Collaborate with world‑class scientists and engineers
• 💰 Strong rewards:Competitive package, equity, and genuine growth

What you’ll do

• Develop and deploy models for sequential and time‑series data
• Define modelling strategies and drive key technical decisions
• Build scalable, reproducible data pipelines
• Mentor junior researchers and champion best ML practices

What you bring

• Strong Python and ML toolkit (NumPy, PyTorch/TensorFlow, pandas, SciPy)
• Experience with sequence models (RNNs, LSTMs, Transformers)
• Solid grounding in probabilistic or Bayesian methods
• MSc/PhD in a quantitative field (Maths, Physics, CS, etc.)
• 5+ years of hands‑on ML experience — research or production
• A curious, self‑driven mindset and passion for applied science

If you’re excited by the idea of using AI to push the boundaries of biomedical discovery — this role is built for you.