At a Glance
- Tasks: Lead data management for our innovative SaaS platform, ensuring high-quality genomic data acquisition.
- Company: Join a pioneering TechBio company at the forefront of genomic science.
- Benefits: Competitive salary, generous leave, and comprehensive health benefits for you and your family.
- Why this job: Make a real impact in drug discovery and preventative healthcare with cutting-edge technology.
- Qualifications: Experience with global data bodies and strong Python skills required.
- Other info: Enjoy a vibrant culture with hybrid working and opportunities for continuous learning.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Company Overview: Genomics is a scienceâled transatlantic TechBio combining largeâscale 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 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.
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.
- CrossâFunctional 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. Highâskill 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 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: 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.
Senior Data Manager in Oxford employer: Genomics
Contact Detail:
Genomics Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Manager in Oxford
â¨Tip Number 1
Network like a pro! Reach out to people in the genomics and data management fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on your dream job!
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python scripts and any data projects you've worked on. This is a great way to demonstrate your technical prowess and give potential employers a taste of what you can do.
â¨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance and privacy standards. Be ready to discuss how you've tackled similar challenges in the past. Confidence is key, so practice makes perfect!
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our team at StudySmarter. Let's make it happen!
We think you need these skills to ace Senior Data Manager in Oxford
Some tips for your application đŤĄ
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. 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 at Genomics. Be sure to mention any specific experiences that relate to the responsibilities outlined in the job description.
Showcase Your Investigatory Mindset: In your application, give examples of how you've tackled complex datasets in the past. We love candidates who can identify potential issues before they arise, so share any relevant experiences that demonstrate your proactive approach to data management.
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 us youâre serious about joining our team!
How to prepare for a job interview at Genomics
â¨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.
â¨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 and cloud architecture.
â¨Understand Governance & Privacy
Since you'll be acting as a gatekeeper for sensitive data, make sure you can articulate your understanding of data governance and privacy standards. Be ready to discuss how you've navigated licensing issues in the past and how you ensure compliance with regulations.
â¨Collaborate Like a Pro
This role requires cross-functional collaboration, so think of examples where you've successfully partnered with stakeholders. Prepare to share how you bridge gaps between science and engineering, ensuring seamless data ingestion and management.