Scientist

Genomics plc; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Life insurance

Pension

Private medical cover

Cycle to work scheme

25 days annual leave

Financial security benefits

Organised sports activities

Social events

Job summary

Genomics plc is seeking a Scientist to join their hybrid team in London or Oxford. This role focuses on driving innovative research and collaboration in genomic data analysis. Ideal candidates will have experience in genetic association analyses and strong skills in programming (R, Python). The company offers competitive salaries, comprehensive benefits including private health insurance, and a vibrant workplace culture emphasizing personal growth and diversity.

Qualifications

• Experience in foundational genetic association analyses (e.g., GWAS; PRS).
• Strong competency in statistical programming for genomic data analysis.
• Experience in data mining and management of large datasets.

Responsibilities

• Drive innovation and collaboration in scientific approaches.
• Communicate discoveries effectively and lead transformative projects.
• Utilise advanced statistical techniques to craft Polygenic Risk Scores.

Skills

Foundational genetic association analyses (GWAS, PRS)

Statistical programming (R, Python)

Data mining and management of large datasets

Stakeholder engagement

Job description

The growth of Genomics is partnered with the personal growth of our people. We ensure that all employees have the tools, technologies, benefits, and support systems to develop and flourish. We offer a competitive package of benefits, training opportunities, and initiatives to ensure our employees thrive.

Be part of a globally diverse team

Our workforce operates across the UK and US from offices based in Oxford, UK, London, UK Cambridge, UK, and North Carolina, US. Our diversity and multinationalism, with our people hailing from over 30 countries, helps to bring together the best minds to harness the power of genomics and transform healthcare and drug discovery.

Perks and benefits

• Life insurance
• Charities trust
• Pension
• Group income protection
• Cycle to work scheme
• Critical illness cover
• Private medical cover
• Bank your Bank Holidays

A collaborative and social culture

• Social events
• Training and development opportunities
• Organised sports activities

Scientist - Location: Oxford or London (Hybrid)

Location Type: Hybrid

Department: Genomics Science

The Mission: Why We Exist

Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics.

Genomics aims to help people live longer, healthier lives in two ways: super‑charging drug discovery and development for novel treatments with our AI‑enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores – giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.

A Day in the Life

As a Scientist, you'll drive innovation and collaboration, devising groundbreaking scientific approaches that help to shape team direction. You’ll communicate your discoveries effectively, and be a spearhead in leading transformative projects across the team.

You’ll forge cutting‑edge methods to craft Polygenic Risk Scores by harnessing genomic, real‑world and clinical data. Using a strategic approach, you will utilise advanced statistical techniques to prioritise therapeutic targets to unveil new treatment possibilities.

Success here demands a robust grasp of statistical human genetics applied inventively. You'll excel in unraveling complex genomic data and possess a knack for uncovering key insights, while working collectively with your highly skilled team.

Who You Are

• Experience in performing foundational genetic association analyses (e.g., GWAS; PRS)
• Strong competency in statistical programming (e.g., R, Python) sufficient to enable large-scale genomic data analysis
• Experience in data mining and/or management of large datasets.
• Confident in engaging with a variety of stakeholders, contributing and supporting in the delivery of presentations to customers.

Your Package

We are committed to providing a transparent, supportive, and rewarding work environment.

Compensation & Growth

• Competitive Salary: Salaries are externally benchmarked annually to ensure top‑of‑market compensation.
• Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.
• Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.
• Holiday: 25 days annual leave, plus bank holidays, plus an extra 3‑day company‑wide shutdown at year‑end.
• Financial & Health Security: Robust benefits including a market‑leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.
• Enhanced Leave: Enhanced paid family leave to support all new parents.
• Flexible Working: Hybrid Working (e.g., From our London, Oxford Office)
• Truly Inclusive Time Off: Our "Bank Your Bank Holiday" program allows you to exchange public holidays for dates that hold personal or cultural significance to you.
• Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.
• Green Commute: Cycle‑to‑Work scheme and convenient office locations near major transport hubs.

Ready to Build the Future?

We are dedicated to creating a diverse environment and are proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.