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Norstella
Senior Data Scientist
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$109,885 / year median in the U.S.
Job Description
Norstella
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Senior Data Scientist
Harrisburg, PA
Posted 146 days ago
Apply Now Senior Data Scientist Company:
Norstella Location:
Remote, United States Date Posted:
Sep 10, 2026Employment Type:
Full Time Job ID:
R-1915 Description About Us 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.
The Role:
In this role as a Senior Data Scientist, you will: Design and deploy production-ready AI systems that leverage LLMs and advanced ML techniques to solve complex business problems across pharma intelligence Build and maintain multi-agent systems and agentic orchestration workflows using frameworks like LangChain, LangGraph, or AutoGen to execute autonomous tasks Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, ensuring high-fidelity context retrieval and vector database management Implement and extend MCP (Model Context Protocol) servers to allow LLMs to interact safely and efficiently with local and remote data sources Architect robust, scalable APIs and microservices to serve AI features to end-users with low latency (FastAPI or similar) Collaborate with product partners and other scientists 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, and deliver these algorithms as microservices in collaboration with content and product engineering teams Implement rigorous testing and evaluation frameworks for LLM outputs to ensure prompt stability, prevent regressions, and manage hallucination risks Contribute 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 All other duties as assignedRequirements:
5+ years of experience developing AI / ML applications and data driven solutions, preferably in regulated industries (pharma, legal, financial services, or energy) 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, LLMs, and other state of the art AI / ML techniques Deep experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar libraries Expert-level knowledge of LLM APIs (OpenAI, Anthropic Claude) and open-source models (Llama, Mistral) 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 Python and core data science and AI libraries including Pandas, NumPy, PyTorch, and similar Experience building or utilizing Model Context Protocol (MCP) servers to bridge models with data tools Strong background in scalable backend environments (Docker, Kubernetes, AWS/GCP) Experience moving AI from prototype to production-grade services with monitoring, logging, and rate-limiting Ability to independently conduct research and develop appropriate algorithmic solutions to complex business problems Experience mentoring junior team members Excellent problem solving and communication skillsPreferred Qualifications:
Knowledge of the healthcare/pharma domain and experience with applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, API Gateway, SageMaker, serverless compute and storage such as S3 and Snowflake Proficiency with vector databases such as Pinecone, Qdrant, or similar for high-performance retrieval Experience with RAG patterns, prompt engineering, model fine tuning, and knowledge graphs Experience with unstructured document processing (legal document analysis, contract management, data retrieval) Experience with Big Data tools likeApache Spark, Hadoop, or Databricks 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 Please Note- All candidates must be authorized to work in the United States.
- you are welcome.
Benefits
- 401(k) Plans
- Other Retirement and Savings
- Health Insurance
- Dental Insurance