At a Glance
- Tasks: Join a team to analyse genetic data and develop innovative drug discovery methods.
- Company: Leading TechBio firm focused on genomics and health data.
- Benefits: Competitive salary, flexible working, generous leave, and continuous learning opportunities.
- Other info: Dynamic hybrid work environment with a vibrant social culture and clear career progression.
- Why this job: Make a real impact in healthcare by advancing drug discovery with cutting-edge technology.
- Qualifications: Strong background in genetics, data analysis skills, and coding experience in Python or R.
The predicted salary is between 63000 - 77000 £ per year.
Location: Oxford or London (Hybrid)
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.
Role Purpose
We're looking for an exceptional Data Scientist with a strong background in human genetics and genomics, and advanced skills in data science, statistics and computational analysis. You might be a great fit for this role if you're a methods-oriented domain specialist within the broad field of genomics with some exposure to software engineering practices and an interest in developing that side of your skillset. The primary purpose of the role is to develop and integrate support for processing, quality control and analysis of new types of data into our production and research software tools.
You'll join a team of experts in human genetics, data science and software engineering, building the platform at the heart of our Life Sciences work – helping us derive new insights into human biology and guide drug development towards safer, more effective targets. How your time splits across data processing workflows, statistical methods and software engineering will reflect your own balance of scientific and computational strengths, with an emphasis on genetics domain expertise and data analysis, including processing and interpreting functional genomics data.
This role can be hired at IC2 (Data Scientist) or IC3 (Senior Data Scientist) level, depending on your experience. At IC3, you'll operate with greater autonomy, hold a broader scientific scope, bring deeper subject-matter expertise, and lead analyses that integrate multiple genomic data sources, working with cross-disciplinary teams to deliver value.
A Day in the Life
At the heart of this role is the opportunity to expand and improve how we use data and cutting edge methods to identify and validate effective and safe drug targets via deeper understanding of disease mechanisms.
- Identify innovative uses of new types of data for integration into our data and analytics platform. E.g from functional genomics and perturbation screens, molecular profiling and expression atlases, genomic and functional annotations, and curated interaction, pathway and ontology resources.
- Implement production quality code for processing, transforming and quality control of new data types for integration into our larger data model.
- Contribute to and implement statistical and machine learning methods to a high standard of robustness, validation and reproducibility.
- Contribute to internal and external presentations and publications arising from our work.
- Keep your knowledge current on innovation and good practice in genomics, functional genomics and statistical genetics.
At Senior (IC3) level, you'll also lead projects that integrate multiple functional genomics and genetic data sources, coordinating with cross-disciplinary teams to deliver value.
Who You Are
Essential
- Strong knowledge of human genetics and functional or clinical genomics, and the ability to apply it to research questions.
- Skilled at analysing and learning from large-scale biological datasets, including statistical and machine learning methods.
- Experienced processing and interpreting data from functional genomics, molecular and expression atlases, genomic annotations, and curated pathway and interaction resources, including quality control.
- Competent writing code in Python and/or R for data analysis, with an appreciation of good software development practice.
It'd be great if you also have
- Comfortable using LLM programming assistants appropriately within a research analysis environment.
- Experienced running tools and workflows in a scalable system, for example Linux based HPC environments or on cloud systems.
- Experience working on a collaborative codebase using version control and CI/CD.
- Experience working in remote, cloud-based environments, e.g. AWS.
- Prior experience working in a team, ideally in an industry setting.
- A PhD or postgraduate degree in genetics, genomics, computational biology or bioinformatics, or statistics and machine learning applied in these fields.
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 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 Off
- 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.
Work Environment & Culture
- 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? 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.
Location: London; Oxford
Employment Type: Full time
Location Type: Hybrid
Department: Science Software
Data Scientist in Oxford employer: Genomics
At Genomics, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With competitive salaries, clear career progression paths, and a commitment to continuous learning, our employees thrive in a supportive environment that prioritises their wellbeing. Located in vibrant cities like Oxford and London, we provide flexible working options and unique benefits such as enhanced family leave and a 'Bank Your Bank Holiday' programme, ensuring that our team members can balance their professional and personal lives effectively.
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We think this is how you could land Data Scientist in Oxford
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Scientist in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Genomics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Genomics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Genomics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Genomics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
