Principal Data Scientist

Why Norstella?

Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization (Evaluate, MMIT, Panalgo, Citeline and The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making.

Together, we help our clients:

Assess the market need and competitive landscape

Know precisely which drugs to prioritize in their portfolios

Find out where the launch difficulties will bebefore theyre difficulties

Track and improve market access post-launch

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. At Norstella, we dont just deliver information and insights. We deliver answers you can act on.

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

Please note- all candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.

The expected base salary for this position ranges from $195,000 to $260,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to a base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.

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 peoples 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. We believe that all decisions about people at work should be based on the individuals abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment.

Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, were just as excited about you.