Lead Data Manager in Oxford

Lead Data Manager in Oxford

Oxford Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
Genomics

At a Glance

  • Tasks: Lead data acquisition and management for our innovative SaaS platform, Mystra.
  • Company: Join a pioneering TechBio company at the forefront of genomic science.
  • Benefits: Enjoy competitive pay, generous leave, and comprehensive health benefits.
  • Why this job: Make a real impact in drug discovery and preventative healthcare.
  • Qualifications: Experience with genomic data and strong Python skills required.
  • Other info: Hybrid working, vibrant culture, and clear career progression opportunities.

The predicted salary is between 48000 - 72000 £ per year.

Company Overview: 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.

Location: London or Oxford

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.

Day in the Life:

  • Data Acquisition: research and secure new genomic data opportunities that align with our business needs.
  • Technical Execution: write a Python script to pull data from a GWAS or integrate metadata from disparate systems into our cloud architecture.
  • Governance & Privacy: 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: partner with stakeholders to bridge the gap and ensure seamless ingestion.

Who You Are: Proven experience with global bodies such as UK Biobank, DB GAP, or EGA, and a deep understanding of data modelling and governance. An "investigatory" mindset, able to look at a dataset and identify potential privacy or licensing roadblocks before they become issues. High‑skill in Python and an understanding of compute architecture and cloud systems. A PhD in a genomic discipline (or equivalent industry experience) and can "speak the language" of Statistical Genetics 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: 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.

Lead Data Manager in Oxford employer: Genomics

At Genomics, we pride ourselves on being a science-led TechBio that fosters a transparent and supportive work environment in the heart of London or Oxford. As a Lead Data Manager, you will not only play a pivotal role in advancing healthcare through data governance but also benefit from competitive compensation, clear career progression, and a vibrant social culture that promotes inclusivity and well-being. With a commitment to continuous learning and a hybrid working model, we ensure that your professional growth aligns with our mission to revolutionise drug discovery.
Genomics

Contact Detail:

Genomics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Manager in Oxford

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend relevant events, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

✨Tip Number 2

Prepare for those interviews by practising common questions and scenarios related to data management and governance. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience and skills.

✨Tip Number 3

Showcase your skills! Create a portfolio or GitHub repository where you can display your Python scripts and any projects you've worked on. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.

✨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 team.

We think you need these skills to ace Lead Data Manager in Oxford

Data Acquisition
Data Curation
Python
Cloud Architecture
Data Governance
Privacy Standards
Data Modelling
Statistical Genetics
Bioinformatics
Cross-Functional Collaboration
Licensing Evaluation
Analytical Skills
Problem-Solving Skills
Investigatory Mindset

Some tips for your application 🫡

Show Your Passion for Data: When you're writing your application, let your enthusiasm for data management shine through! We want to see how your experience aligns with our mission at Genomics and how you can contribute to our data ecosystem.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Lead Data Manager role. Highlight your relevant experience with global bodies like UK Biobank and your skills in Python, as these are key to what we’re looking for.

Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the role!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it shows you’re serious about joining our team!

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. Being able to discuss specific datasets and their implications will show your expertise and passion for the field.

✨Show Off Your Python Skills

Prepare to demonstrate your Python prowess during the interview. Brush up on writing scripts that pull data or integrate metadata. You might even be asked to solve a problem on the spot, so practice coding challenges related to data management.

✨Understand Governance & Privacy Standards

Make sure you’re well-versed in data governance and privacy standards, especially TREs. Be ready to discuss how you would evaluate datasets for licensing issues and ensure compliance. This knowledge is crucial for the role and will set you apart from other candidates.

✨Emphasise Cross-Functional Collaboration

Think about examples from your past experiences where you successfully collaborated with different teams. Highlight how you bridged gaps between science and engineering, as this is key for the Lead Data Manager role. Show them you can communicate effectively across disciplines.

Lead Data Manager in Oxford
Genomics
Location: Oxford

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