Senior Data Scientist

Description

About Norstella

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.

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.

Scope of the Role

In this role as a Senior Data Scientist, you will:

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

All other duties, as assigned

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 simply well-designed data transformations and business logic – our focus is on solving problems rather than the technology used.

What it Takes

Requirements:

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:

Medical and Prescription Drug Benefits

Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)

Dental & Vision Benefits

Basic Life and AD&D Benefits

401k Retirement Plan with Company Match

Company Paid Short & Long-Term Disability

Paid Parental Leave

Paid Time Off & Company Holidays

All legitimate roles with Norstella will be posted on Norstella’s job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: ApplicationHelp@norstella.com.