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Building teams within the AI space. Machine Learning, Computer Vision and Gen AI specialist.

Head of Data Science | Biotechnology Scale-Up | Hybrid (London) | Competitive Salary + Benefits

The Company

Our client is an early-stage, high-growth biotechnology company revolutionizing the life sciences industry through advanced multiomics. Their proprietary technology offers unprecedented insight into the dynamic interplay between genomics and epigenomicspushing the boundaries of how we understand complex biological systems.

• Early-stage biotech company developing cutting-edge multiomic solutions
• Partnering with world-leading researchers to drive innovation in cancer, aging, and neurological diseases
• Agile, mission-driven team at the forefront of personalized medicine
• Strong commercial momentum with launched products and new innovations in the pipeline
• Incredible opportunity to shape the companys scientific and product roadmap

The Role

This is a rare chance to lead a high-impact data science function within a rapidly scaling biotech. Youll be at the interface of internal R&D and external customer collaborations, helping shape the utility and evolution of novel omics technology. Youll build and mentor a team, drive scientific discovery, and directly influence product innovation.

• Lead, build, and mentor a growing team of data scientists
• Develop novel computational methods to harness unique multiomic datasets
• Collaborate with external partners to support scientific publications and joint projects
• Guide internal product development with experimental insights and analysis
• Work closely with early-access customers to support adoption and uncover new use cases

Your Experience

Youll be an experienced computational biologist or bioinformatician, ready to step into a leadership role with a strong technical foundation. You should thrive in a dynamic, collaborative environment and be excited about driving the future of omics-based discovery.

• Proven experience managing teams in computational biology or bioinformatics
• PhD or equivalent experience in a relevant field with strong data analysis expertise
• Deep understanding of genomic data science methods (variant calling, GWAS, QTL mapping, etc.)
• Skilled in at least one scientific programming language (Python, R, or Julia)
• Strong collaborator with a track record of academic or industrial partnerships
• Bonus: experience with ML in genomics, cloud deployment, workflow platforms (Nextflow, DNAnexus), or publication as a lead author

Next Steps

This Head of Data Science role is proving popular and wont be around for long, so please get in touch if you are interested or hit the apply button.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Biotechnology Research, Hospitals and Health Care, and Medical Practices

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