Senior Life Sciences Analyst, AI Model Training

About the role

As a Senior Life Sciences Analyst for Model Training at Norstella, you will sit at the intersection of deep clinical and 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 the preference and judgment layer of model development — through scoring and ranking outputs, you will calibrate models on dimensions of quality, accuracy and clinical reasoning such that they are able to handshake with persona use cases. Your judgment becomes the signal that bridges a capable model and a genuinely useful one, and will play a critical role in our efforts to deliver predictive analytics and insights across clients.

Responsibilities

• Evaluate model outputs across clinical, regulatory, and life sciences tasks by rating individual responses, ranking pairs and lists, and rewriting outputs to demonstrate the preferred response.
• Define and maintain evaluation rubrics, preference dimensions, and quality criteria (factual accuracy, clinical reasoning quality, etc) that govern model outputs and preference alignment.
• Act as an expert-in-the-loop for how life science models are commercialized with clients, including ongoing support for implementation.
• Advise and assist with interpretation of model behavior, bridging the desired behavior back to the dataflow inflection point, working with the relevant teams to adjust as needed.
• Partner with data scientists and MLEs to walk feedback into data collection pipelines.
• Conduct red-team and adversarial evaluation of models, surfacing subtle failure modes — hallucinations, citation errors, unsupported clinical claims, regulatory missteps — that automated metrics cannot reliably catch.
• Analyze preference data and model behavior to identify systematic gaps, then partner with the fine-tuning SMEs and the data science team to decide how each gap is addressed through preference data.
• Conduct new proofs of concept for novel domain capabilities.
• Contribute to Norstella’s knowledge graph and taxonomy work and help design new agentic workflows based on domain-grounded language models.

Qualifications

• Graduate degree in life sciences, medical sciences, computer science or equivalent professional experience.
• At least 3 years of professional experience in production-grade life science datasets, including with AI-enabled applications.
• Experience working with structured publishing platforms and data tools; comfort with automation concepts.
• Experience working with and statistically analysing large and complex data sets, including data cleaning and preprocessing.
• Excellent problem-solving skills and the ability to work independently.
• Excellent communication skills, especially between technical and non-technical teams.

Bonus Points

• If You Have Experience In
• Experience working with Generative AI, especially LLMs, including agents, throughout the entire software development lifecycle (SDLC).
• Experience creating MCPs and consuming them into Agentic workflows.
• Experience in fast-paced, novel product development.

Benefits

• Medical and prescription drug benefits
• Health savings accounts or flexible spending accounts
• Dental plans and vision benefits
• Basic life and AD&D Benefits
• 401k retirement plan
• Short- and Long-Term Disability
• Education benefits
• Paid parental leave
• Paid time off

Our Guiding Principles For Success

• 01: Bold, Passionate, Mission-First
• 02: Integrity, Truth, Reality
• 03: Kindness, Empathy, Grace
• 04: Resilience, Mettle, Perseverance
• 05: Humility, Gratitude, Learning

Company Information

• Equal Opportunities Employer
• Zero-Tolerance Policy to Any Form of Discrimination, Abuse or Harassment
• Not Responsible for Applications Submitted Through Third-Parties
• Never Ask for Anything of Value or Any Type of Payment During or As Part of Any Recruitment, Interview, or Pre-Hire Onboarding Process
• Zero-Tolerance Policy to Fraudulent Job Postings