Data Scientist

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—helping patients in need with life-saving therapies.

Job Summary

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Leveraging cutting-edge technology and a passion for innovation, we extract actionable insights that drive informed decision-making.

Requirements

• 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
• Expert-level knowledge of LLM orchestration frameworks such as LangChain, LlamaIndex, or similar libraries
• Deep experience with 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
• Experience conducting research and developing appropriate algorithmic solutions to complex business problems
• Experience mentoring junior team members
• Excellent problem-solving and communication skills

Preferred 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
• Experience 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 like Apache Spark, Hadoop, or Databricks