Overview
Location: Cambridge, Oxford, or London (Hybrid, minimum 2 days per week in office)
Genomics is a pioneering health tech company on a mission to revolutionise the way we all understand and support our health. Our mission is to help people and their doctors make better decisions that lead to longer, fuller lives. We focus on the common diseases that affect billions and the ones that put the greatest strain on our healthcare systems. By decoding insights in our DNA, we’re building cutting-edge tools and platforms for personalised medicine across prevention, early screening, diagnosis, treatment, and drug development. We are looking for a Head of Research to lead our research programs and translate genomic data into actionable discoveries that impact drug development, disease understanding, and product innovation.
What you'll do
* Develop and implement the Research strategy to meet business and scientific goals.
* Provide scientific leadership, including identifying and prioritising novel research avenues and methodological advancements.
* Stay current on advancements in statistical genetics, genomics, and related fields.
* Lead and mentor a high-performing team of researchers, statistical geneticists, and AI/ML specialists.
* Oversee the development of cutting-edge statistical, AI, and ML methodologies and computational tools for analysis of genetic and other relevant data.
* Collaborate with internal teams to integrate Research work into products and services.
* Scope and manage strategic collaborations with external institutions as needed.
* Present research findings at internal and external forums.
* Contribute to the intellectual property portfolio through patent applications.
What you'll bring
* Deep expertise in statistical genetics or AI/ML: significant, top-tier experience in either field, preferably in a biological, healthcare, or genetics context; knowledge of the other area is a plus.
* Proven leadership: track record of building, managing, and leading high-performing scientific teams and delivering on project goals.
* Methodological mastery: strong expertise in a wide range of statistical genetics methods (e.g., GWAS, Mendelian randomization) or AI/ML applications.
* PhD or equivalent experience: Ph.D. in Statistical Genetics, Human Genetics, Bioinformatics, AI/ML, or related field is required.
* Experience with large-scale datasets: have worked with large-scale human genetic datasets (e.g., UK Biobank).
* Strong publication record: history of publishing in leading peer-reviewed journals is highly desirable.
* Drug discovery knowledge: experience with the drug discovery and development process is a bonus.
So what's in it for you?
* Salaries: externally benchmarked annually to align with the market.
* Holiday Allowance: 25 days of annual leave, plus a 3-day year-end company shutdown and bank holidays.
* Progression: open progression framework with clear strengths and development areas to help you advance.
* Invest in Your Future: training and development opportunities, access to a wide range of learning and development materials.
* Hybrid Working: choose between office and home; UK-based with regular office visits (minimum twice a week).
* Wellbeing: comprehensive health insurance for you and your family, critical illness, life insurance, and enhanced paid family leave.
* Diversity and Inclusion: Bank Your Bank Holiday program to exchange public holidays for dates meaningful to you.
* Giving Made Easy: payroll giving scheme for charitable donations.
* Green Commute: cycle-to-work scheme and easy access to public transport.
* Keeping it social: regular company town halls, team activities, and other events.
Genomics is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.
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