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For Companies At a Glance
- Tasks: Lead a high-impact team to develop innovative data solutions for personalised medicine.
- Company: Join Sano, a pioneering company transforming healthcare with cutting-edge genomic data.
- Benefits: Competitive salary, remote work, and a culture of diversity and inclusion.
- Why this job: Make a real difference in patients' lives through advanced data technology.
- Qualifications: Experience in engineering leadership and data platform development required.
- Other info: Dynamic role with opportunities for personal and professional 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.
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 and make sound decisions.
- Communicate clearly and directly 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.
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 real challenges we’re currently facing.
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 in London employer: Sano Genetics
Contact Detail:
Sano Genetics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Data & Engineering in London
✨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 insider info that could help you stand out.
✨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 answers to reflect our vision!
✨Tip Number 3
Don’t just talk about your past roles; share specific examples of how you've led teams and tackled challenges. We want to see your hands-on experience and how you can bring that to our engineering and data strategy.
✨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.
We think you need these skills to ace VP Data & Engineering in London
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, so don’t hold back on sharing what excites you about this field.
Tailor Your Experience: Make sure to highlight your relevant experience in data and engineering. We’re looking for specific examples of how you've led teams or built data platforms, so be clear and concise about your achievements that relate to the role.
Be Authentic: We value diversity and authenticity, so don’t be afraid to show your true self in your application. Share your unique perspective and experiences, as they can set you apart from other candidates!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Sano Genetics
✨Understand the Mission
Before your interview, take some time to really grasp Sano's mission of accelerating personalised medicine. Be ready to discuss how your experience aligns with their goal of developing life-saving treatments and how you can contribute to making patient data more accessible.
✨Showcase Your Technical Expertise
As a VP of Data & Engineering, you'll need to demonstrate your hands-on experience with production systems and data platforms. Prepare specific examples of past projects where you’ve designed and operated data pipelines, focusing on data quality and governance.
✨Emphasise Leadership Skills
This role requires a 'player-coach' approach, so be prepared to talk about your leadership style. Share experiences where you've built high-performing teams, set clear expectations, and fostered an environment of ownership and delivery.
✨Prepare for Real Challenges
During the panel working session, you'll face real challenges that Sano is currently tackling. Think about how you would approach these problems strategically over the next few months. Show your ability to make sound decisions in ambiguous situations and communicate your thought process clearly.