National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Data Science

biomodal
London
1 week ago
Create job alert

About biomodal
Join the multiomic revolution! Over the last 20 years, genomic technologies have enabled significant discoveries that bring the promise of personalised medicine closer than ever before. But after two decades of research, it's clear that genetic variation only tells part of the story - biology is dynamic and more complex than A, C, T, G. Already, the added information from a multiomic view of biology is yielding important insights into cancer, ageing, and neurological disease, and is poised to revolutionise how we understand health and disease beyond canonical variation in DNA.
biomodal is an omics-based life sciences technology and analytics company, delivering products that bring the dynamism of our ever-changing biology into focus. Our team is dedicated to developing the most advanced solutions to interrogate and understand the complex interplay of genomics and epigenomics.
We have launched our first products, the duet +modC and duet evoC solutions, with more in the pipeline, and are looking to grow and evolve our business accordingly. This is an incredible opportunity to step into an exciting, early-stage company at the cutting edge of science with exceptional growth and market impact potential.
Multiomics is the future - come and join the biomodal team!
Your chance to lead a functional group in an exciting high growth biotechnology venture and make a real impact!
The Team

Our technology provides our customers with novel multi-modal information that will enable new scientific discoveries. Within the Computational Technology Department, Data Scientists are responsible for demonstrating the utility of our technology. They do this through the development of new methods to extract insights from the technology's output, and through collaboration with our customers to generate new scientific discoveries when they use the technology on their sample sets.
This is an exciting time for biomodal and we are looking to amplify our commercial activity and footprint into the future. World-leading researchers are working with us to demonstrate the utility of our current products and crystalising requirements for future products. We are rapidly expanding and evolving our workforce to support our early access customers and are preparing for broader customer adoption and new customer collaborations.
The Role

We are looking for an experienced bioinformatician / computational biologist, with prior experience leading a team, to head our Data Science group at biomodal (reporting to the VP of Computational Technology). This is a rare opportunity to lead a function that will really shape biomodal's product offerings and be right at the interface point with our early adopting customers. The individual will be responsible for building, developing and managing the team as well as being hands-on and supporting key projects.
Key Responsibilities:

Identify opportunities for innovative applications that leverage unique characteristics of our technologies and develop a roadmap to deliver new computational analysis methods to our customers.
Collaborate with external partners to test the technology in their use cases and drive the collaborative work towards scientific publication.
Design experiments to understand the utility of our technology in various aspects.
Provide feedback to internal product development teams (molecular biology and bioinformatics software) to drive optimisation of our assays and bioinformatics pipelines.
Interact with biomodal's customers to support their use of our technology to deliver on their research questions and to support ongoing product adoption.
Respond to market and customer intelligence to rapidly prototype product and platform extensions and work with biomodal's development teams to transfer promising concepts into biomodal's portfolio.
The Person

The ideal candidate will be an experienced computational biologist with a demonstrable background leading or managing individuals, whilst still being technically credible and hands-on. We want someone who sees the opportunity implicit in this role, which is the chance to build something new and impactful in a company in its hyper growth phase.
Essential Skills:

A demonstrable track record of leading a team delivering complex computational biology projects or products to customers.
Experience working collaboratively across organisations (e.g. industrial-academic collaborations, academic consortia or cross-company collaboration) with demonstratable outcomes (publications or further funded work etc).
PhD or commensurate experience in biological subject area, with a strong focus on informatics and data analysis.
Detailed understanding of the methods used in genomic data science, including experimental design, QC, and common methods of secondary and tertiary analysis such as variant calling, QTL mapping, and GWAS/EWAS.
Enjoy working as part of a fast-moving and results-oriented business where delivery against deadlines is critical.
Experience with applications of machine learning in genomics and computational biology.
Ability to communicate complex topics appropriately to an array of different backgrounds and audiences.
Experience of at least one of the programming languages commonly used in data science and scientific programming (such as Python, R, or Julia).
Nice to haves:

Experience of preparing and defending scientific publications, as first or corresponding author.
Expertise in software development best practices (version control, code review, pair programming, agile/scrum, testing, etc.).
Experience using and deploying systems on cloud platforms (such as GCP or AWS).
Experience with genomic-specific computational workflow platforms (such as DNANexus or NextFlow).
This is an ideal opportunity for an experienced bioinformatics / computational biology leader to take the reins of a high impact team in a business at an exciting stage of its evolution.
Benefits

Annual bonus scheme
Health and Life Insurance
Flexible/hybrid working conditions
Enhanced annual leave
Enhanced parental leave
10% pension contribution

#J-18808-Ljbffr

Related Jobs

View all jobs

Head of Data Science

Head of Data Science

Head of Data Science

Head of Data Science and Analytics

Head of Data Science and Analytics

Head of Data Science and Analytics

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.