Generative AI Senior Data Scientist

In this role as a Generative AI Senior Data Scientist you will report into the SVP Data Science, within Norstella. Your role will be to keep up to date with the latest frameworks and agent harnesses, and help design and develop the next generation of our GenAI Framework in Norstella. We have been delivering AI Assistants for the past two years, with 7 products live with customers, and many more in development. We have a multi-functional team consisting of pharmaceutical industry experts, R&D, data engineering and data scientists to rapidly prototype using both our existing and newly acquired datasets across the pharmaceutical life cycle.

Scope of the Role

In this role as a Generative AI Senior Data Scientist you will:

• Work with our Product leadership within Norstella to define and shape new offerings where agents and assistants can help customers

• Manage a team of data scientists and developers to provide Generative AI-enabled API services to the front end dev team

• Manage a roadmap of Generative AI work, mixing new product development and enhancements to existing services

• Define LLM and Agent 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 the data science team on these developments

• All other duties, as assigned

How You'll Succeed

Ultimately our goal is to smooth patient access to life-saving therapies. You will work with R&D pharma specialists to understand a problem which is hindering developing and releasing effective new pharma products which we believe we can help with. After understanding the problem you will conceptualize potential solutions; this will involve breaking down the problem into individual steps, identifying how our existing framework of services can fit in, and what modifications and extensions are necessary for a successful launch. Finally, an overall solution can be packaged together, mixed with classical logic and business rules. As a Senior-level engineer you will be primarily responsible for one major release at a time.

After conceiving potential solution(s), you will research potential packages, LLMs, and approaches, document the high-level tasks in Jira with estimates for time taken for yourself and other data scientists and python developers to implement the solution as a proof-of-concept. You will deliver indicative results starting from test questions into answer datasets for exploration by the broader multi-functional team. You will also perform code reviews with the data science team to examine their implementation and consider ways of strengthening the final codebase and methodology.

After iterating the design with the multi-functional team as part of customer-led product development, you might convert your prototype into a full product. This will involve productionizing code from you and the team to a high standard, containerization, and deployment of the algorithm, usually in AWS ECS, using existing CICD templates. Over time you may revisit this product, re-evaluate its performance, and redesign/improve as required. Historically, if successful, a General Availability launch is typically ~6 months from project start.

• Degree at Masters level or higher in a STEM field such as Math, Physics, Computer Science, Engineering, or equivalent practical experience

• Excellent knowledge of python and core data science libraries, and using LLM libraries as part of algorithm design

• Project lead experience, managing stakeholders and highly specialized professionals in other non-technical

• Excellent technical communication skills when working with a broader development and product team

• Knowledge of Scrum, Kanban, and other Agile methodologies, as well as breaking down tasks into Jira tickets

Nice to have

• Experience with AWS, serverless compute, containerization and storage

• Knowledge of the pharmaceutical industry, in particular the stages of pharmaceutical product development and clinical language / ontologies

• Ability to rapidly prototype new product ideas with a basic familiarity across the full stack, webapp to database

• Experience using external APIs in a production context

• Paid Parental Leave 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 $170,000 to $190,000. 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 base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental

Norstella is a group of prominent pharmaceutical solutions providers - Evaluate, MMIT, Panalgo, The Dedham Group, Citeline - that help clients navigate complexities at each step of the drug development life cycle, from pipeline to patient. For more information, please visit Norstella.com. Evaluate is a global company providing outstanding market intelligence services for the Pharmaceutical, Medical Device, Financial and Consulting sectors, through the Evaluate Pharma®, Evaluate Medtech®, Evaluate Omnium and Evaluate Vantage® online brands. Our international clients in Pharma and Biotech, Medtech, Banking and Consultancy regard Evaluate Pharma® as the industry's gold standard for timely and accurate analysis of reported drug sales, consensus sales forecasts, R&D pipeline, markets and comprehensive company financials.