Scientist

Genomics; Cambridge; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A pioneering health tech company is seeking a skilled individual to analyze genetic data and develop personalized medicine tools. You will collaborate with scientists to tackle scientific challenges, utilizing advanced statistical genetics skills. Join a team focused on improving healthcare through genomics.

Benefits

25 days holiday

Training and development opportunities

Comprehensive benefits including health insurance

Inclusive culture programs

Charity payroll giving scheme

Cycle-to-work scheme

Qualifications

• Experienced in genetic association analyses such as GWAS.
• Proficient in statistical programming for large-scale genomics data.

Responsibilities

• Work with leading scientists to analyze genetic data and develop polygenic risk scores.
• Communicate findings effectively to stakeholders.

Skills

Genetic Association Analyses

Statistical Programming

Effective Communication

Tools

R

Python

Job description

Location:

Oxford, London or Cambridge — with a blend of 40% in-office, and the rest flexible for remote work.

About Us

We’re a pioneering health tech company dedicated to revolutionising how we understand and support health. Our mission is to empower people and caregivers to make better decisions for longer, fuller lives. We focus on common diseases impacting billions, leveraging DNA insights to develop personalised medicine tools—from prevention and early screening to diagnosis, treatment, and drug development. Our goal is a world where everyone benefits from genomics.

If cutting-edge science and technology inspire you and you want to impact the future of healthcare, we’d love to hear from you.

A Day in the Life

You will work with leading scientists to address scientific challenges, using innovative methods to analyze genetic data, develop polygenic risk scores, and identify therapeutic targets. Success involves applying strong statistical genetics skills and effectively communicating findings to stakeholders.

Who You Are

• Experienced in genetic association analyses such as GWAS
• Proficient in statistical programming (e.g., R, Python) for large-scale genomics data
• Skilled in advanced genetic approaches like colocalization, fine-mapping, Mendelian Randomization
• An effective communicator, both spoken and written

What’s in It for You?

• Competitive salary benchmarked annually
• 25 days holiday plus additional time during year-end shutdown and bank holidays
• Training and development opportunities
• Comprehensive benefits including pension, health insurance, critical illness, and life insurance
• Inclusive culture with programs like 'Bank Your Bank Holiday'
• Charity payroll giving scheme
• Green initiatives such as cycle-to-work scheme and accessible location

Interested? Contact us to learn more and see if this role fits your aspirations!

Genomics values diversity and is an equal-opportunity employer. All qualified applicants will be considered without regard to race, religion, gender, or other protected characteristics.

We kindly ask no contact from recruitment agencies.