At a Glance
- Tasks: Lead data acquisition and management for our innovative genomic SaaS platform.
- Company: A pioneering TechBio firm focused on genomics and health data.
- Benefits: Competitive salary, extensive leave, hybrid work, and continuous learning opportunities.
- Why this job: Join us to revolutionise healthcare and make a real impact on people's lives.
- Qualifications: PhD in genomics or equivalent experience, strong Python skills, and data governance knowledge.
- Other info: Inclusive culture with vibrant social events and clear career progression.
The predicted salary is between 48000 - 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: superâcharging drug discovery and development for novel treatments with our AIâenabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores â 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 highâquality 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 arenât 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.
- CrossâFunctional Collaboration: Youâll 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 marketâaligned compensation. Clear Career Path: A straightforward, open progression framework means youâll 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 3âday companyâwide shutdown at yearâend.
- Financial & Health Security: Robust benefits including a marketâleading 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: CycleâtoâWork 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 equalâopportunity 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.
Lead Data Manager in London employer: Genomics
Contact Detail:
Genomics Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead Data Manager in London
â¨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 arenât even advertised yet.
â¨Tip Number 2
Show off your skills! If youâve got experience with Python or data governance, create a portfolio showcasing your projects. This gives potential employers a taste of what you can do.
â¨Tip Number 3
Prepare for interviews by brushing up on your knowledge of genomic data and privacy standards. Be ready to discuss how youâd tackle real-world challenges in data management.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining us.
We think you need these skills to ace Lead Data Manager in London
Some tips for your application đŤĄ
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: Donât shy away from detailing your technical expertise! Whether it's your proficiency in Python or your understanding of data modelling, make sure we know what you bring to the table. Include examples of how you've used these skills in past roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. Itâs the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows youâre keen on joining our team!
How to prepare for a job interview at Genomics
â¨Know Your Data Inside Out
As a Lead Data Manager, youâll need to demonstrate your expertise in data acquisition and governance. Brush up on your knowledge of global bodies like UK Biobank and DB GAP, and be ready to discuss how you've navigated licensing issues in the past.
â¨Show Off Your Technical Skills
Make sure you can talk about your experience with Python and cloud architecture. Prepare to share specific examples of scripts you've written or projects where you've integrated complex datasets. This will show that you can handle the technical execution required for the role.
â¨Understand the Bigger Picture
Genomics is all about improving health outcomes. Be prepared to discuss how your work as a data manager contributes to drug discovery and preventative healthcare. This shows that youâre not just focused on data but also on its impact on people's lives.
â¨Prepare for Cross-Functional Collaboration
Since this role involves working with various stakeholders, think of examples where you've successfully collaborated across teams. Highlight your communication skills and how youâve bridged gaps between science and engineering in previous roles.