Scientist

Genomics plc; Triangle (VA); Hybrid; USD 100,000 - 180,000; Full time

Benefits offered by this job

Life insurance

Pension

Group income protection

Cycle to work scheme

Critical illness cover

Private medical cover

Bank your Bank Holidays

Job summary

Genomics plc is seeking an early-career Scientist to work on large-scale genomic data analyses in the Life Sciences team. You will apply statistical and computational methods to interpret diverse omics datasets, identify potential therapeutic targets, and communicate findings to internal and external stakeholders.

The role emphasizes collaboration, rigorous methodology, and advancement of predictive health insights using AI-enabled analytics and cloud platforms. Hybrid work from RTP is available.

Qualifications

• Solid foundations in genetics and molecular biology.
• Strong programming skills in Python or R with statistical analysis.
• Experience with omics data and genetic association methods is preferred.

Responsibilities

• Apply statistical and computational approaches to omics data.
• Develop and validate analytical pipelines for genetic data.
• Collaborate with cross‑functional teams to translate findings into targets and biomarkers.

Skills

Genetics knowledge

Molecular biology

Statistical programming

Python

R

Tools

Git & GitHub

Testing

Containerisation

WDL/Snakemake/NextFlow

DNAnexus/Verily Workbench

Job description

Important notice to applicants

Genomics is aware of an individual falsely presenting themselves as a representative of Genomics and attempting to recruit candidates on our behalf.

Please be vigilant when responding to recruitment approaches. Genuine communications from Genomics will come from an email address ending in @genomics.com. Emails or other communications relating to recruitment that come from individuals or organisations using a different email domain may not be genuine.

If you receive a recruitment communication and you are unsure, please do not provide personal information. Instead, please reach out to us directly via our form on the Contact Us page.

Why work with us?

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 andsocial culture

Social events

Training and development opportunities

Organised sports activities

Join our team

Scientist

Location

Research Triangle Park

Department

Genomics Science

Location: Hybrid from our RTP office

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

At Genomics, we tackle major scientific challenges in harnessing genomic data to improve human health.

This role is part of the Life Sciences team, working on a range of challenges spanning the therapeutic development cycle – including discovering and validating therapeutic targets and developing patient stratification strategies. The Scientist is an early-career member of the team, who will thrive in a highly collaborative team environment. With the team’s support, you will develop and execute innovative and rigorous scientific approaches, and will effectively communicate findings to both internal and external stakeholders.

For example, a Scientist may:

Generate novel therapeutic hypothesis for diseases with unmet need, mining the in-house data resources using statistical approaches to understand the causal pathophysiology of disease, identify and triage potential targets with genetic evidence, and build a rich understanding of the cell types, cellular function, tissue-level characteristics, patient populations and biomarkers needed to support a development program.

Apply and optimise risk tools for patient stratification that combine genetic information (through polygenic risk scores) with conventional risk factors, to find those individuals most at risk of disease onset or progression and those most likely to benefit from particular therapies.

To be successful in this role, you will: bring a strong foundation in the application of statistical and computational techniques in biomedical science that you can apply in innovative ways, thrive on analysing vast and diverse sources of ‘omic data using leading statistical or AI/ML approaches to make meaningful insights into complex problems, and take pride in effectively sharing your findings with others.

Who You Are

Must have, solid foundations in:

Genetics and molecular biology

Statistical programming (e.g., Python or R)

Preferred:

Experience using a broad array of statistical genetics approaches (e.g., GWAS, colocalisation, fine-mapping, Mendelian randomization, polygenic risk scores)

Experience defining phenotypes from electronic health records.

Knowledge of Bayesian inference, high dimensional statistics, causal inference.

Experience with software engineering practices (version control [Git & GitHub], testing, documentation, agentic coding, containerisation)

Experience building and running reproducible pipelines e.g., using WDL, Snakemake, or NextFlow.

Experience using cloud computing and trusted research environments e.g. DNAnexus or Verily Workbench.

Experience with methods development within statistical genetics

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.

PTO: 25 days vacation, plus 8 federal holidays, plus an extra 3-day company-wide shutdown at year-end.

Full Coverage: 401k, Comprehensive Health, Dental, and Vision plans, Health Savings Account (HSA), Life/AD&D, and Disability coverage.

Flexible Working: Hybrid Working.(e.g. From our RTP 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.

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.

Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.

Contact us at [e-mail] or connect with us on LinkedIn.