Senior Data Scientist (NLP, Deep Learning, Generative AI)

at  Norstella

DESCRIPTION

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.

JOB DESCRIPTION

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.

REQUIREMENTS:

• 5+ years of experience developing AI / ML applications and 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
• 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
• Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries
• Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems
• Experience 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

THE ROLE:

• Collaborate with product partners and other scientists to identity 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, and deliver these algorithms as microservices in collaboration with content and product engineering teams
• Contributes towards the common data science platform
• Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments

RESPONSIBILITIES:

• Collaborate with product partners and other scientists to identity 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, and deliver these algorithms as microservices in collaboration with content and product engineering teams
• Contributes towards the common data science platform
• Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments