Senior Data Scientist

Norstella · United States · 5 days ago

RemoteRemoteEngineering$170k–$215k/yrFull-time

About Us

Founded in 2022, 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 cycleEvaluate – bring the right drugs to marketMMIT – identify barrier to patient accessPanalgo – turn data into insight fasterThe 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 Summary

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. 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.

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
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
Open Vacation Policy
& Company Holidays