Senior Life Sciences Engineer

Senior Life Sciences Knowledge Engineer

Company:
Norstella

Location:

Remote, United States

Date Posted:
Jun 9, 2026

Employment Type:

Full Time

Job : R-2008

Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life‑saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle — from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives.

Norstella unites market‑leading brands — Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group and delivers must‑have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision‑making.

• Accelerate the drug development cycle
• Assess competition and bring the right drugs to market
• Make data driven commercial and financial decisions
• Match and recruit patients for clinical trials
• Identify and address barriers to therapies

Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI‑driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella’s investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs.

As a Senior Life Sciences Knowledge Engineer at Norstella, you will sit at the intersection of deep scientific domain expertise and applied AI development. This role will be embedded within a group of life science thought leaders, but will interface across cross‑functional teams of data scientists, machine learning engineers and data engineers. Your work centers on curating high‑quality fine‑tuned datasets which speak to the desired end‑to‑end behavior we want a model to internalize.

The datasets and annotation guidelines/frameworks that govern it will play a critical role in our efforts to deliver predictive analytics and insights across clients.

• Translate complex clinical, regulatory, and life sciences subject matter expertise/requirements into repeatable patterns that can be taught to a model through gold standard examples, working closely with data scientists and machine learning engineers to shape the model’s schema, vocabulary, and target behavior.
• Through close collaboration between SME and technical colleagues, develop novel methods and parameters of model behavior, based on interpretation of requirements and quick iteration cycles.
• Design, build, and continuously refine fine‑tuning datasets consisting of input/output pairs that demonstrate desired end‑to‑end behavior across the target task surface area, edge cases, and known failure modes.
• Author and maintain the annotation and labeling guidelines that govern dataset construction, ensuring the schema, vocabulary, and definition of “what good output looks like” remain consistent across contributors.
• Define the task taxonomy and output schema in close partnership with data scientists, ensuring data architecture aligns with downstream evaluation metrics and production requirements across NPD.
• Train and enable subject matter expert graders running eval rounds, including translating feedback to how data scientists implement improvements at the tool call layer.
• Run iterative dataset experiments: identify where the model is failing, design targeted example slices to close those gaps, and partner with the human‑in‑loop SMEs to measure the impact of each dataset change.
• Maintain provenance, licensing, and compliance documentation for every dataset, ensuring all training data meets GxP, regulatory, and intellectual property standards expected in life sciences and clinical settings.
• Conduct new proofs of concept for novel domain capabilities.
• Contribute to Norstella’s knowledge base and taxonomy work and help design new agentic workflows based on domain‑grounded language models.

• Graduate degree…