Senior Data Scientist, Life Sciences AI - Equity

Lilasciences; Cambridge; On-site; GBP 104,000 - 161,000; Full time

Benefits offered by this job

Competitive base salary with equity

Equity compensation

Comprehensive benefits

Job summary

Lila Sciences is building Scientific Superintelligence to accelerate discovery in life sciences. We seek a Data Scientist, Life Sciences to bridge wet-lab science, software engineering, automation, and AI, turning experimental data into actionable insights and scalable analyses.

You will collaborate with scientists, automation engineers, and ML engineers to ensure data flows and analyses reflect bench realities, building robust pipelines and reusable modules.

Qualifications

• Background in biological sciences, life sciences data, or bioinformatics.
• Strong Python proficiency for scientific data analysis (pandas, numpy, scipy).
• Solid grounding in applied statistics and exploratory data analysis.
• Experience eliciting, documenting, and validating requirements from scientific and technical stakeholders.
• Ability to identify unstated assumptions and clarify analytical requests.
• Experience producing reproducible, well-documented analyses.
• Strong communication with technical and bench scientists.
• Proactive, detail-oriented approach to ambiguous scientific problems.

Responsibilities

• Own requirements discovery across lab, automation, software, and AI teams.
• Translate experimental questions into well-scoped analyses.
• Develop bioinformatics and data-processing pipelines for raw assay outputs.
• Build reusable analysis modules to improve reproducibility across studies.
• Integrate analytical workflows with central data lake and AI platform systems.
• Identify gaps in LIMS flows, data management, and automation workflows.
• Document methods, assumptions, and results for technical and scientific audiences.

Skills

Python

Pandas

NumPy

SciPy

Statistics

Requirements gathering

Reproducible analyses

Communication

Bench-to-analytics bridging

Lab automation knowledge

Docker/Kubernetes

Flyte/Temporal

AWS fundamentals

Pydantic/pyright

Tools

Flyte

Temporal

Docker

Kubernetes

AWS

Pydantic

Pyright

uv

Job description

Lila Sciences is building Scientific Superintelligence to accelerate discovery in life sciences. We seek a Data Scientist, Life Sciences to bridge wet-lab science, software engineering, automation, and AI, turning experimental data into actionable insights and scalable analyses.

You will collaborate with scientists, automation engineers, and ML engineers to ensure data flows and analyses reflect bench realities, building robust pipelines and reusable modules.