Vice President Data Science

Hlx Life Sciences; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

An innovative bio/health tech start-up is on the lookout for a visionary VP of Data Science to spearhead their computational and platform development efforts. This role offers the chance to shape strategy at the intersection of bioinformatics and machine learning, with a focus on skin health and longevity. As part of a world-class founding team, you will drive the creation of a transformative data-driven platform, leveraging cutting-edge science and technology. If you are passionate about making a difference in personalized health, this is an exceptional opportunity to leave a lasting impact.

Qualifications

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

Responsibilities

• Lead data science and bioinformatics strategy across the data lifecycle.
• Build predictive models and scalable pipelines for DNA methylation.

Skills

DNA methylation

Machine Learning

Python

Bioinformatics

Cloud Computing (AWS)

Education

PhD in Computational Biology

Tools

AWS

Job description

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COO at Hlx Life Sciences | Building computationally driven Biotech

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.

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Science, Information Technology, and Research

• Industries

  Pharmaceutical Manufacturing, Biotechnology Research, and Consumer Services

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