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For Companies At a Glance
- Tasks: Lead data acquisition and management for our innovative genomic SaaS platform.
- Company: Join a pioneering TechBio focused on advancing healthcare through genomics.
- Benefits: Competitive salary, generous leave, health insurance, and continuous learning opportunities.
- Why this job: Make a real impact in drug discovery and preventative healthcare with cutting-edge technology.
- Qualifications: Experience with genomic data, strong Python skills, and a PhD or equivalent experience.
- Other info: Enjoy a vibrant culture with hybrid working and inclusive time-off policies.
The predicted salary is between 43200 - 72000 ÂŁ 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.
Lead Data Manager employer: Genomics
Contact Detail:
Genomics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead 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 lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with Python or data governance, create a portfolio showcasing your projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of genomic data and privacy standards. Be ready to discuss how you’d tackle real-world challenges in data management.
✨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 hearing from passionate candidates like you!
We think you need these skills to ace Lead Data Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Manager role. Highlight your experience with data management, governance, and any relevant projects that showcase your skills in Python and cloud systems. We want to see how you can bridge science and engineering!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about genomics and how your background aligns with our mission. Be sure to mention specific experiences that demonstrate your investigatory mindset and ability to handle complex datasets.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Include examples of your work with global bodies like UK Biobank or DB GAP, and any scripts or tools you've developed. We love seeing how you’ve tackled challenges in data acquisition and governance.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at Genomics
✨Know Your Data Inside Out
As a Lead Data Manager, you’ll be the go-to person for data governance and acquisition. Make sure you brush up on your knowledge of global bodies like UK Biobank and DB GAP. Familiarise yourself with their datasets and any potential licensing issues that could arise.
✨Show Off Your Technical Skills
You’ll need to demonstrate your Python prowess during the interview. Be prepared to discuss how you've used Python in past projects, especially in data extraction or integration tasks. Maybe even bring along a sample script to showcase your skills!
✨Understand the Bigger Picture
Genomics is all about improving health outcomes. Make sure you can articulate how your role as a Lead Data Manager fits into the larger mission of advancing drug discovery and preventative healthcare. This will show your passion for the field and alignment with their vision.
✨Prepare for Cross-Functional Collaboration Questions
Since this role involves working with various stakeholders, think of examples where you’ve successfully collaborated across teams. Be ready to discuss how you bridge gaps between science and engineering, ensuring seamless data ingestion and management.