Senior Life Sciences Analyst, AI Model Training

Norstella; Annapolis (MD); Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical benefits

Dental and vision coverage

401k retirement plan

Paid time off

Job summary

Norstella is seeking a Senior Life Sciences Analyst for AI Model Training to bridge clinical expertise and applied AI development. You will collaborate with data scientists, ML engineers and cross-functional teams to calibrate model outputs and ensure high-quality, clinically grounded predictions across client projects.

Join a thought leadership group that shapes evaluation rubrics, contributes to knowledge graphs, and advances domain-grounded language models while working remote in the United

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.

Job description

Senior Life Sciences Analyst, AI Model Training

Company: Norstella

Location: Remote, United States

Date Posted: Oct 12, 2026

Employment Type: Full Time

Job ID: R-2076

Description

Senior Life Sciences Analyst, AI Model Training

About us

Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization (Evaluate, Citeline, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making.

Together, we help our clients

• Assess the market need and competitive landscape
• Know precisely which drugs to prioritize in their portfolios
• Find out where the launch difficulties will be—before they’re difficulties
• Track and improve market access post-launch

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-driven predictive analytics. At Norstella, we don’t just deliver information and insights. We deliver answers you can act on.

Job Description

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.

Travel: None required

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

Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment.

Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.