Senior Scientist in Oxford

Senior Scientist in Oxford

Oxford Full-Time 43200 - 72000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead innovative projects in genomics and statistical analysis to improve healthcare.
  • Company: Join a pioneering health tech company transforming personalised medicine for better health outcomes.
  • Benefits: Enjoy hybrid working, 25 days holiday, training opportunities, and comprehensive health benefits.
  • Other info: Flexible holiday options and a commitment to diversity make this a unique workplace.
  • Why this job: Make a real impact on healthcare while collaborating with a skilled team in a supportive culture.
  • Qualifications: Experience in genetic analyses, statistical programming, and managing large datasets is essential.

The predicted salary is between 43200 - 72000 £ per year.

Location: Oxford or London (Hybrid)The Mission: Why We ExistGenomics 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 LifeAs a Senior Scientist, you'll drive innovation and collaboration, acting as a strategic consultant on high-impact projects with diverse external pharma and biotech partners. You’ll communicate insights effectively, helping to shape team direction and leading transformative initiatives across the discovery and development spectrum.You will navigate across the entirety of the drug development pipeline, from target discovery and validation through to patient stratification. Utilizing a strategic approach and advanced statistical techniques, you will work closely with external collaborators to prioritize therapeutic targets, optimize clinical insights, and unveil new treatment possibilities.Success here demands a robust grasp of statistical human genetics applied inventively in a partner-facing environment. You'll excel in unraveling complex genomic data and possess a knack for translating raw findings into actionable consulting insights, whilst working collectively with both your highly skilled internal team and external partners.Who You AreExperience 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 analysisExperience 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 PackageWe are committed to providing a transparent, supportive, and rewarding work environment.Compensation & GrowthCompetitive Salary: Salaries are externally benchmarked annually to ensure competitive 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.Wellbeing & Time OffHoliday: 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.Work Environment & CultureFlexible 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?If this opportunity excites you, apply now!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.LocationLondon; OxfordEmployment TypeFull timeLocation TypeHybridDepartmentGenomicsScience

Senior Scientist in Oxford employer: Genomics

At Genomics, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid work environment allows for flexibility while providing ample opportunities for professional growth and development, particularly in cutting-edge fields like AI and data science. Join us to be part of a mission-driven team that values your contributions and supports your career aspirations in a dynamic and impactful setting.

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Contact Details:

Genomics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Scientist in Oxford

✨Get Involved in Research Communities

Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!

✨Show Off Your Research Projects

Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Genomics, you can point them to your projects and publications, showcasing your expertise directly.

✨Utilise Professional Networks

Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.

✨Keep Your Eyes on Openings & Apply Directly

Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Genomics. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!

We think you need these skills to ace Senior Scientist in Oxford

Foundational Genetic Association Analyses (e.g., GWAS, PRS)
Statistical Programming (e.g., R, Python)
Large-Scale Genomic Data Analysis
Data Mining and Management of Large Datasets
Advanced Statistical Techniques
Polygenic Risk Score Development
Genomic Data Interpretation

Some tips for your application 🫡

Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!

Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Genomics. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.

Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.

Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Genomics. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!

How to prepare for a job interview at Genomics

✨Showcase Your Research Skills

In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.

✨Prepare for Technical Questions

Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Genomics. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.

✨Know Your Publications

If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.

✨Exhibit Your Team Spirit

In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Genomics to drive research projects forward.