At a Glance
- Tasks: Lead AI solutions for pharma and biotech, architect ML models, and mentor data science teams.
- Company: Leading applied AI specialist recently acquired by Accenture with a PhD-heavy culture.
- Benefits: Unlimited annual leave, hybrid working model, and a flexible work environment.
- Other info: Join a rigorous, innovative team committed to responsible AI and engineering excellence.
- Why this job: Make a real impact in healthcare by tackling challenges in drug discovery and clinical trials.
- Qualifications: Deep expertise in Life Sciences, fluent in Python and deep-learning frameworks.
The predicted salary is between 70000 - 90000 £ per year.
Location: London, UK
Company Description: Leading applied AI specialist recently acquired by Accenture with a PhD-heavy technical culture.
Salary: Not Disclosed
Job Description: Lead the development of bespoke AI solutions for global pharmaceutical giants and cutting-edge biotechs. You will architect production-grade ML models, design robust software frameworks, and mentor technical teams. This role bridges deep data science with strategic client delivery, tackling high-stakes challenges in drug discovery, clinical trials, and real-world evidence pipelines.
Why this role is remarkable: Work at the intersection of AI and healthcare, delivering high-impact solutions for biomarker discovery and drug development that affect patient outcomes. Join an intellectually rigorous, PhD-led environment known for its commitment to responsible AI and engineering excellence after a major 2026 acquisition. Benefit from a culture of extreme flexibility including an unlimited annual leave policy and a hybrid London-based working model.
What You Will Do:
- Architect core data science approaches and associated software architectures for high-stakes life sciences engagements.
- Lead project delivery end-to-end, serving as the technical authority for sophisticated clients including pharma giants and research hospitals.
- Mentor and manage a team of data scientists, fostering technical growth and ensuring the application of best practices across the project lifecycle.
The ideal candidate:
- Deep domain expertise in Life Sciences with proven experience navigating the sector's unique regulatory and data complexities.
- Fluent in production-grade Python and deep-learning frameworks like PyTorch, with the ability to build and deploy novel architectures.
- Strong commercial awareness with the ability to translate complex business problems into rigorous mathematical frameworks and lead client-facing workshops.
Senior Data Scientist, Life Sciences — Hybrid London employer: Jack & Jill
As a leading applied AI specialist recently acquired by Accenture, we offer an exceptional work environment for Senior Data Scientists in Life Sciences. Our hybrid London-based model promotes extreme flexibility, including an unlimited annual leave policy, while our PhD-heavy culture fosters intellectual growth and collaboration on high-impact projects that directly influence patient outcomes. Join us to be at the forefront of AI in healthcare, where your expertise will shape the future of drug discovery and clinical trials.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Life Sciences — Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the life sciences and AI sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those related to AI and healthcare. Use platforms like GitHub to share your code and demonstrate your expertise in Python and deep-learning frameworks.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with clients and team members alike.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience in life sciences and your ability to lead projects, and let’s get you on board!
We think you need these skills to ace Senior Data Scientist, Life Sciences — Hybrid London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist in Life Sciences. Highlight your experience with AI solutions, ML models, and any relevant projects that showcase your expertise in the pharmaceutical or biotech sectors.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how your skills align with our mission at StudySmarter. Don’t forget to mention any mentoring experience you have, as we value team growth.
Showcase Your Technical Skills:Be specific about your technical abilities, especially in Python and deep-learning frameworks like PyTorch. Include examples of how you've applied these skills in real-world scenarios, particularly in drug discovery or clinical trials.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jack & Jill
✨Know Your Data Science Inside Out
Make sure you brush up on your data science fundamentals, especially in life sciences. Be prepared to discuss your experience with production-grade Python and deep-learning frameworks like PyTorch. They’ll likely want to hear about specific projects where you've tackled complex problems.
✨Showcase Your Mentoring Skills
Since this role involves mentoring a team, think of examples where you've guided others in their technical growth. Be ready to share how you foster best practices and support your team in navigating challenges, especially in high-stakes environments.
✨Understand the Business Context
This position requires strong commercial awareness. Familiarise yourself with the pharmaceutical and biotech sectors, and be prepared to discuss how you can translate complex business problems into data-driven solutions. Think about how your work can impact patient outcomes.
✨Prepare for Client-Facing Scenarios
As you'll be leading project delivery for sophisticated clients, practice articulating your thought process in client-facing workshops. Prepare to discuss how you would approach a real-world problem in drug discovery or clinical trials, showcasing your strategic thinking and technical authority.
