At a Glance
- Tasks: Lead innovative AI/ML projects to revolutionise patient access to life-saving therapies.
- Company: Join Norstella, a leader in life sciences data and AI solutions.
- Benefits: Enjoy 25 days leave, volunteering days, and comprehensive health benefits.
- Other info: Collaborative team culture with opportunities for personal and professional growth.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology.
- Qualifications: 5+ years in AI/ML, strong Python skills, and a passion for innovation.
The predicted salary is between 70000 - 90000 € per year.
About Norstella
Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life‑saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle — from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives. Norstella unites market‑leading brands – Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group – and delivers must‑have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision‑making.
We help our clients:
- Accelerate the drug development cycle
- Assess competition and bring the right drugs to market
- Make data‑driven commercial and financial decisions
- Match and recruit patients for clinical trials
- Identify and address barriers to therapies
Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI‑driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella’s investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs.
The Team
Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life‑saving therapies. Armed with cutting‑edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development.
Job Description
As a senior‑level scientist, you will primarily be responsible for one major release at a time with a high degree of individual ownership. While not all research leads to successful deployed systems, past successes have seen a general availability launch typically ~6 months from project start. Our solutions have used a wide range of approaches, including agentic systems and model context protocol (MCP) servers, retrieval‑augmented generation (RAG), classical machine learning, knowledge graphs, and well‑designed data transformations and business logic – our focus is on solving problems rather than the technology used.
Responsibilities:
- Collaborate with product partners and others to identify new opportunities to apply AI / ML to our content and products
- Conduct research and identify AI / ML algorithms and methods to solve specific business problems
- Implement rigorous testing and evaluation of potential solutions; review indicative results and proof‑of‑concepts with multi‑disciplinary teams as part of customer‑led product development
- Deploy your solutions as production‑grade microservices in collaboration with engineering and DevOps teams
- Contribute towards common data science platforms and data assets
- Stay up‑to‑date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
Qualifications
- Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience
- 5+ years of experience developing AI / ML applications and data‑driven solutions
- Excellent knowledge of Python and core data science libraries such as pandas, scikit‑learn, LangChain, etc.
- Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval‑augmented generation
- Substantial depth and breadth across state‑of‑the‑art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc.
- Understanding of CS fundamentals, computational complexity, and algorithm design
- Ability to engineer and deploy well‑architected software packages
- Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level
- Experience mentoring junior team members
Preferred Qualifications
- Deep expertise in engineering agentic AI systems
- Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data
- Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage
- Ability to prototype PoC webapps with familiarity across the full stack
- Expert usage of AI coding tools and workflows.
Benefits
- 25 days annual leave, 4 days for volunteering and a personal day
- 5% pension match
- Group Life Assurance (100% employer funded)
- Group Income Protection (100% employer funded)
- Other voluntary benefits such as: Dental, Cash Plan, PMI Excess Cover, Health Screening & Critical Illness
Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success.
Senior Data Scientist employer: Norstella
Norstella is an exceptional employer that prioritises innovation and collaboration within the life sciences sector, offering a dynamic work culture in London. Employees benefit from generous leave policies, comprehensive health coverage, and a strong commitment to professional development, ensuring that team members can thrive both personally and professionally. With a mission-driven approach and a focus on leveraging cutting-edge AI technologies, Norstella empowers its staff to make a meaningful impact on patient access to life-saving therapies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research Norstella and its mission, and think about how your skills in AI and data science can contribute to their goals. We want to see you shine, so practice common interview questions and have your own ready to ask.
✨Tip Number 3
Show off your projects! If you’ve worked on any cool AI or ML projects, make sure to discuss them during interviews. We love seeing real-world applications of your skills, so bring your portfolio or GitHub links to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Norstella team. Let’s get you on board!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI/ML applications and any relevant projects you've worked on. We want to see how your skills align with our mission at Norstella!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to improving patient access to therapies. Let us know why you're excited about joining Norstella and what makes you a great fit.
Showcase Your Projects:Include links to any relevant projects or GitHub repositories in your application. We love seeing practical examples of your work, especially if they involve AI/ML techniques. It gives us a better idea of your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're genuinely interested in being part of our team at Norstella!
How to prepare for a job interview at Norstella
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and machine learning techniques, especially those mentioned in the job description. Be ready to discuss your experience with Python and data science libraries like pandas and scikit-learn. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on, particularly those that involved deploying AI/ML solutions. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and your ability to take ownership of a project.
✨Understand the Business
Familiarise yourself with Norstella's mission and the life sciences industry. Think about how your skills can help improve patient access to therapies. Being able to connect your technical expertise to their business goals will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and how they measure success. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.
