Scientist

Scientist

Cambridge Full-Time 36000 - 60000 £ / year (est.) No home office possible
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Genomics

At a Glance

  • Tasks: Join a team of scientists tackling genetic data challenges and developing innovative healthcare solutions.
  • Company: A pioneering health tech company focused on revolutionising healthcare through genomics.
  • Benefits: Enjoy flexible remote work, competitive salary, 25 days holiday, and comprehensive health benefits.
  • Other info: Diversity is valued; all qualified applicants are encouraged to apply.
  • Why this job: Make a real impact in healthcare while working with cutting-edge science and technology.
  • Qualifications: Experience in genetic analyses, proficiency in R or Python, and strong communication skills required.

The predicted salary is between 36000 - 60000 £ per year.

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.

Genomics

Contact Detail:

Genomics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Scientist

✨Tip Number 1

Familiarise yourself with the latest advancements in genomics and personalised medicine. Being well-versed in current trends and breakthroughs will not only enhance your understanding but also demonstrate your passion for the field during discussions.

✨Tip Number 2

Network with professionals in the health tech and genomics sectors. Attend relevant conferences, webinars, or local meetups to connect with industry experts. This can lead to valuable insights and potential referrals that may help you land the job.

✨Tip Number 3

Prepare to discuss your experience with genetic association analyses and statistical programming in detail. Be ready to share specific examples of projects you've worked on, as this will showcase your expertise and problem-solving skills to the interviewers.

✨Tip Number 4

Practice your communication skills, both spoken and written. Since effective communication is key in this role, consider engaging in mock interviews or presenting your research to peers to build confidence in articulating complex scientific concepts.

We think you need these skills to ace Scientist

Genetic Association Analyses
GWAS
Statistical Programming (R, Python)
Large-Scale Genomics Data Analysis
Colocalization Techniques
Fine-Mapping Methods
Mendelian Randomization
Data Interpretation
Effective Communication Skills
Stakeholder Engagement
Problem-Solving Skills
Attention to Detail
Team Collaboration
Adaptability to New Technologies

Some tips for your application 🫡

Understand the Company: Familiarise yourself with the health tech company's mission and values. Highlight how your personal goals align with their aim to revolutionise healthcare through genomics in your application.

Tailor Your CV: Ensure your CV reflects your experience in genetic association analyses, statistical programming, and advanced genetic approaches. Use specific examples that demonstrate your skills and achievements relevant to the role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cutting-edge science and technology. Discuss how your background in statistical genetics can contribute to the company's mission and mention any relevant projects you've worked on.

Highlight Communication Skills: Since effective communication is key for this role, provide examples of how you've successfully communicated complex scientific findings to various stakeholders in your previous roles or projects.

How to prepare for a job interview at Genomics

✨Showcase Your Technical Skills

Make sure to highlight your experience with genetic association analyses and statistical programming. Be prepared to discuss specific projects where you've used R or Python to analyse large-scale genomics data.

✨Communicate Clearly

As an effective communicator, you should practice explaining complex scientific concepts in simple terms. This will help demonstrate your ability to convey findings to stakeholders who may not have a technical background.

✨Prepare for Scenario Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach challenges related to polygenic risk scores or therapeutic target identification.

✨Align with the Company’s Mission

Familiarise yourself with the company’s mission to revolutionise health through genomics. Be ready to express why this resonates with you and how your background can contribute to their goals.

Scientist
Genomics
Location: Cambridge
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