At a Glance
- Tasks: Lead a high-impact team to drive data and engineering strategies for personalised medicine.
- Company: Join Sano, a pioneering company transforming healthcare with innovative genomic data solutions.
- Benefits: Competitive salary, remote work flexibility, and a chance to make a real difference.
- Why this job: Be at the forefront of precision medicine, impacting patients' lives through technology.
- Qualifications: Experience in leading engineering teams and building data platforms is essential.
- Other info: Dynamic, inclusive culture focused on innovation and personal growth.
The predicted salary is between 120000 - 150000 ÂŁ per year.
About Sano
Mission: Accelerating the world’s transition to personalised medicine.
Purpose: To speed up development of life‑saving treatments for those with limited options.
Vision: Become the world’s best source of patient-in-the-loop genomic and health data for precision medicine development.
Role Overview:
As VP of Engineering & Data, you’ll be a hands‑on, strategic leader for a small high‑impact team. You’ll own the technical direction and delivery for our engineering function, including front‑end, backend, and platform disciplines. You will be instrumental in ensuring we can reliably ingest, curate, and serve high‑quality multi‑modal datasets (genomics + health/clinical + patient‑reported) and turn them into products that accelerate precision medicine trials, and make it easier for patients and families to take part.
This is a “player‑coach” leadership role: you’ll set direction, manage/build the team, while still being close enough to the work to provide guidance and make great technical/business decisions quickly.
How you’ll make an impact:
- Own the engineering + data strategy: set a clear technical vision and architecture that supports Sano’s product and commercial goals, balancing speed, quality, and long‑term scalability.
- Build and evolve our multi‑modal data platform: design and deliver pipelines that ingest, standardise, validate, and serve data across modalities.
- Make data “product‑grade”: establish a high bar for data quality, provenance/lineage, versioning, reproducibility, and observability.
- Turn data into customer value: partner closely with Product to build data‑powered workflows and surfaces.
- Lead the team: hire, coach, and retain a high‑performing group of engineers and data specialists.
- Strengthen engineering fundamentals: drive architectural coherence, security‑by‑design, reliability, and a strong SDLC.
- Embed privacy, consent, and security into everything: ensure our systems meet the expectations that come with sensitive health and genomic data.
- Be a cross‑functional multiplier: work tightly with the SVP of Product and the broader Leadership Team.
- Scale with intention: take accountability for sprint planning, prioritisation, metrics, decision‑making frameworks.
This job is for you if you:
- Have led engineering teams in small, fast‑moving environments.
- Have deep hands‑on experience designing and operating production systems.
- Have built and shipped data platforms and data products.
- Understand multi‑source data integration.
- Can operate comfortably with ambiguity, set direction, and make sound decisions.
- Communicate clearly and directly, especially in a remote‑first environment.
- Care deeply about building technology that impacts patients’ lives.
Must have experience:
- Building and operating production‑grade data pipelines.
- Data quality + governance foundations.
- Delivering data‑powered user‑facing or partner‑facing products.
- Designing systems for sensitive data.
- Leading teams with high autonomy.
Even better if you have:
- Experience in genomics, precision medicine, clinical research, or healthcare data GxP environments.
- Familiarity with healthcare data standards.
- Experience building consent‑aware data systems.
- Experience with security/compliance programmes.
- Experience with modern data stacks.
- Experience building ML/AI use cases in production.
This role is unlikely to be a great match if:
- You prefer leading large organisations with narrow scopes.
- You want to focus only on people management or only on technical work.
- You’re uncomfortable making trade‑offs and moving quickly in ambiguity.
- You don’t enjoy close collaboration with Product.
Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work‑related.
If this role excites you, don't let our role description hold you back, get applying!
Hiring Process:
- Initial culture fit call with the CEO.
- 60 min technical interview with 3 members of the engineering team.
- 60 min interview with VP product & Delivery.
- Panel working session: discuss how you would approach solving real challenges.
Support: If you have a medical condition or an individual need for an adjustment to our process, please let us know.
Diversity, Equity, Inclusion and Belonging: At Sano, we're committed to creating an environment that promotes diversity, equity, inclusion and belonging.
VP Data & Engineering employer: Sano Genetics
Contact Detail:
Sano Genetics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Data & Engineering
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work at Sano or similar companies. A friendly chat can open doors and give you insights that might just help you land that VP Data & Engineering role.
✨Tip Number 2
Prepare for the interview by diving deep into Sano's mission and values. Show us how your experience aligns with our goal of accelerating personalised medicine. Tailor your examples to highlight your hands-on leadership and technical skills.
✨Tip Number 3
Don’t just talk about your past roles; demonstrate your impact! Use metrics and specific examples to showcase how you've built and led teams, improved data quality, or delivered successful products. We love seeing tangible results!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of our team at Sano. Don’t hesitate – get your application in!
We think you need these skills to ace VP Data & Engineering
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for personalised medicine shine through! We want to see how your journey aligns with our mission at Sano. Share your experiences and what drives you to make a difference in this field.
Tailor Your CV: Make sure your CV is tailored to the VP Data & Engineering role. Highlight your hands-on experience and leadership skills, especially in fast-paced environments. We love seeing how you've tackled challenges and made an impact in previous roles!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your achievements and skills. Remember, we’re looking for someone who can communicate effectively, especially in a remote setting!
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 role. Plus, it shows you’re keen on joining our team at Sano!
How to prepare for a job interview at Sano Genetics
✨Know Your Stuff
Make sure you’re well-versed in the technical aspects of data engineering and the specific challenges faced in precision medicine. Brush up on your knowledge of multi-modal data integration, data quality governance, and production-grade data pipelines. This will help you speak confidently about how you can contribute to Sano's mission.
✨Show Your Leadership Style
As a VP, you'll need to demonstrate your ability to lead a high-performing team. Be ready to discuss your past experiences in hiring, coaching, and creating a culture of ownership. Share specific examples of how you've balanced strategic direction with hands-on involvement in projects.
✨Prepare for Real Challenges
During the panel working session, you’ll be asked to tackle real challenges Sano is facing. Take time to think through potential solutions and be prepared to discuss your thought process. This shows that you can think critically and strategically under pressure.
✨Communicate Clearly
In a remote-first environment, clear communication is key. Practice articulating your thoughts on complex topics in a way that’s accessible to both technical and non-technical stakeholders. This will demonstrate your ability to bridge gaps and foster collaboration across teams.