Norstella
Description
Principal Data Scientist
About NORSTELLA:
At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker—and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle —and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: • Citeline – accelerate the drug development cycle • Evaluate – bring the right drugs to market • MMIT – identify barrier to patient access • Panalgo – turn data into insight faster • The Dedham Group – think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.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 and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.The Role:
In this role as a Principal Data Scientist, you will:- Collaborate with product leadership to identity, elaborate and prioritize projects
- Lead a team of data scientists and developers to deliver AI-enabled microservices in collaboration with content and product engineering teams
- Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models
- Coach and train a team of data scientists and developers to use these architectures
- Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
- Serve as the company-wide expert in one or more complex technical areas (e.g., entity mastering, knowledge graphs, search optimization, RAG)
Requirements:
- 10+ years of experience developing AI / ML applications and delivering data driven solutions
- Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
- Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques
- Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries
- Deep understanding of CS fundamentals, computational complexity and algorithm design
- Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
- Experience leading a portfolio of complex data science projects and mentoring junior team members
- Excellent problem solving and communication skills
Preferred Qualifications:
- PhD in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences
- Knowledge of the healthcare domain and experience with applying AI to healthcare data
- Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake
- Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs
Our Guiding Principles for success at Norstella:
01: Bold, Passionate, and Mission-First
02: Integrity, Truth, and Reality
03: Kindness, Empathy, and Grace
04: Resilience, Mettle, and Perseverance
05: Humility, Gratitude, and Learning