At a Glance
- Tasks: Transform strategic initiatives into actionable plans for data and analytics in genomics.
- Company: Leading TechBio firm focused on advancing healthcare through genomics.
- Benefits: Competitive salary, 25 days leave, hybrid work, and comprehensive health insurance.
- Other info: Inclusive culture with clear career progression and flexible time off options.
- Why this job: Join a mission to revolutionise healthcare and make a real difference in people's lives.
- Qualifications: Fluency in genomic data and strong requirement writing skills.
The predicted salary is between 56700 - 69300 £ 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
As Product Manager for Data and Analytics on Mystra, you'll be the bridge between ambition and execution, turning approved strategic initiatives into clear, scoped, buildable epics and features that engineers can run with and scientists can trust.
Because Mystra is a scientific data platform, "done" means more than shipped.
A Day in the Life
- Breaking down strategic initiatives into 2-4 well-scoped epics and features, with the reasoning behind every boundary written down.
- Pulling together user workflows, personas, edge cases, and constraints into a living "context document" your delivery team can rely on throughout execution.
- Working with Scientific SMEs to make sure requirements are scientifically sound, and with Data Services to understand ingestion capabilities and architectural constraints.
- Partnering with Engineering, Design, and User Research to check that what you're asking for is feasible, coherent, and grounded in real customer need.
- Running delivery kick-offs and bi-weekly check-ins, answering questions quickly, and making clear, well-reasoned prioritisation calls so the team keeps moving.
- Spotting recurring ambiguities and feeding them back to the Director of Product Management, so the next initiative starts sharper.
Who You Are
- Fluency with genomic data is a must. You can read a GWAS paper, know what a p-value is telling you, think about effect sizes and population diversity, and recognise data and analytics needs of a statistical geneticist.
- You will be involved in writing strong requirements, working across functions, and weighing trade-offs.
- The ability to define features with clear "done" criteria and to leave story-level detail to your delivery team.
- Decisiveness and an execution mindset.
Compensation & Growth
- Competitive Reward: Salaries are externally benchmarked annually to ensure market-aligned 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.
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
- Hybrid Working
- 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.
- Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.
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.
Manager, Product Data 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.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Product Data in Oxford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Genomics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Manager, Product Data at Genomics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Genomics.
✨Apply Directly through Our Website
When you find a suitable opening like Manager, Product Data at Genomics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Manager, Product Data 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.