Vice President Data Science

JR United Kingdom; London; Hybrid; GBP 80,000 - 150,000; Full time

Job summary

A pioneering bio/health tech start-up is seeking a visionary VP of Data Science to lead their innovative efforts at the intersection of bioinformatics and machine learning. This unique opportunity allows you to drive strategy and build a transformative data-driven platform focused on skin health and longevity. You'll collaborate with a world-class team, mentoring a high-performing computational group while developing cutting-edge algorithms and personalized health recommendations. Join this dynamic environment where your leadership can significantly impact the future of personalized health.

Qualifications

• 8-10+ years post-PhD experience in bio/health tech.
• Deep expertise in DNA methylation and multi-omics data analysis.

Responsibilities

• Define and lead the data science strategy across the full data lifecycle.
• Build predictive models and scalable pipelines for DNA methylation data.

Skills

Leadership

Python

Machine Learning

Bioinformatics

DNA Methylation

Data Analysis

Cloud Computing

Education

PhD in Computational Biology

PhD in Bioinformatics

PhD in Genomics

Tools

AWS

Job description

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VP of Data Science | Bio/Health Tech Start-up | London / Hybrid

A pioneering bio/health tech start-up, backed by world-leading investors and academic institutions, is seeking a visionary VP of Data Science to lead and scale their computational and platform development efforts. Focused on skin health and longevity, the company is building a transformative data-driven platform powered by epigenetics.

This is a unique opportunity to drive strategy at the intersection of bioinformatics, machine learning, and product innovation, with significant leadership, technical influence, and growth potential. A competitive salary and share options package are available.

Responsibilities:

• Define and lead the data science and bioinformatics strategy across the full data lifecycle
• Build predictive models and scalable pipelines for DNA methylation and multi-omics data
• Apply machine learning to support personalised health recommendations
• Develop automated reporting systems and proprietary algorithms
• Collaborate closely with wet lab scientists, product teams, and leadership
• Build and mentor a high-performing computational team

Requirements:

• PhD in Computational Biology, Bioinformatics, Genomics, or a related field
• 8–10+ years post-PhD experience, ideally within bio/health tech environments
• Deep expertise in DNA methylation and multi-omics data analysis
• Strong coding skills (Python), cloud computing experience (AWS preferred)
• Leadership experience with a start-up-ready, cross-functional mindset
• Experience developing data platforms in regulated environments
• Familiarity with biomarker discovery and consumer-facing health platforms
• A past background working within a start up environment!

Join a world-class founding team transforming personalised skin health through cutting-edge science and technology.