At a Glance
- Tasks: Lead data management for our innovative genomic SaaS platform, ensuring high-quality data acquisition.
- Company: A pioneering TechBio firm focused on genomics and health data.
- Benefits: Competitive salary, extensive leave, hybrid work, and continuous learning opportunities.
- Other info: Inclusive culture with vibrant social events and a clear career progression path.
- Why this job: Join us to revolutionise healthcare and make a real impact on people's lives.
- Qualifications: Experience with genomic data, strong Python skills, and a PhD or equivalent experience.
The predicted salary is between 60000 - 80000 £ per year.
Location: London or Oxford
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 the Lead Data Manager, you are the engine behind our data ecosystem. You will lead the identification, acquisition, and curation of high‑quality data for our SaaS platform, Mystra. You will bridge Science and Engineering, serving as the Product Owner for data management tooling, ensuring our infrastructure scales alongside our genomic strategy. You aren’t just managing data; you are governing the highly personal information that drives scientific discovery.
A Day in the Life
- Data Acquisition: You will research and secure new genomic data opportunities that align with our business needs.
- Technical Execution: You might write a Python script to pull data from a GWAS or integrate metadata from disparate systems into our cloud architecture.
- Governance & Privacy: You will act as the "gatekeeper," evaluating complex datasets for licensing issues and ensuring privacy standards (TREs) are met before they reach our customers.
- Cross‑Functional Collaboration: You’ll partner with stakeholders to bridge the gap between to ensure seamless ingestion.
Who You Are
You have proven experience with global bodies such as UK Biobank, DB GAP, or EGA, and a deep understanding of data modelling and governance. You possess an "investigatory" mindset, able to look at a dataset and identify potential privacy or licensing roadblocks before they become issues. You are highly skilled in Python and understand the nuances of compute architecture and cloud systems. You hold a PhD in a genomic discipline (or equivalent industry experience) and can "speak the language" of Stat Gen and Bioinformatics.
Your Package
We are committed to providing a transparent, supportive, and rewarding work environment.
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.
- 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
- 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.
- 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.
Senior Data Manager employer: Genomics
At Genomics, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee wellbeing and growth. With competitive salaries, a clear career progression framework, and a commitment to continuous learning, we empower our team members to thrive in their roles while contributing to groundbreaking advancements in healthcare. Our hybrid working model and unique benefits, such as the 'Bank Your Bank Holiday' programme, ensure that our employees can balance their professional and personal lives effectively, making us a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Manager
✨Tip Number 1
Network like a pro! Reach out to people in the genomics field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or relevant work, make sure to highlight it during interviews. It’s a great way to demonstrate your expertise in data management and Python.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of data governance and privacy standards. Being able to discuss these topics confidently will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Senior Data Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Manager. Highlight your experience with data governance and any relevant projects that showcase your skills in Python and data acquisition.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about genomics and how your background aligns with our mission. Share specific examples of how you've tackled challenges in data management or governance.
Showcase Your Investigatory Mindset:In your application, emphasise your ability to identify potential privacy or licensing issues. We want to see how you approach problem-solving and ensure data integrity in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at Genomics
✨Know Your Data Inside Out
Before the interview, dive deep into the types of genomic data relevant to the role. Familiarise yourself with global bodies like UK Biobank and DB GAP, and be ready to discuss how your experience aligns with their data governance and acquisition strategies.
✨Show Off Your Technical Skills
Be prepared to demonstrate your Python skills during the interview. You might be asked to solve a problem or explain how you would write a script to pull data from a GWAS. Brush up on your technical knowledge and think through potential scenarios they might present.
✨Understand the Bigger Picture
Make sure you can articulate how your role as a Lead Data Manager fits into the broader mission of the company. They want someone who can bridge science and engineering, so be ready to discuss how you can contribute to their vision of advancing predictive healthcare.
✨Prepare for Governance Questions
Expect questions about data privacy and licensing issues. Think of examples from your past experience where you identified potential roadblocks and how you addressed them. This will show that you have the investigatory mindset they’re looking for.
