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Associate Life Sciences Analyst, AI Model Training

Norstella

Remote · USFull-timePosted 2 days agoSeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

The Associate Life Sciences Analyst for Model Training works at the intersection of clinical and scientific expertise and applied AI development. The role evaluates and calibrates model outputs, maintains evaluation criteria, and communicates model behavior to cross-functional teams. It also contributes to data collection pipelines, adversarial model evaluation, knowledge graph and taxonomy work, and agentic workflows.

Skills & qualifications

RequiredNice to have

Skills

Structured Data Tools, nice to haveAutomation Concepts, nice to haveLarge Dataset Processing, nice to haveData Cleaning, nice to haveProblem-Solving, nice to haveIndependent Work, nice to haveCommunication, nice to haveProduction Life Science Datasets, nice to haveAI-Enabled Applications, nice to haveGenerative AI, nice to haveLarge Language Models, nice to haveAI Agents, nice to haveSoftware Development Lifecycle, nice to haveMCPs, nice to haveAgentic Workflows, nice to haveNovel Product Development, nice to have

Qualifications

Bachelor's in Life Sciences, Medical Sciences, Computer Science or Equivalent Experience, nice to haveExperience With Structured Platforms and Data Tools, nice to haveExperience With Large Complex Datasets, nice to haveExperience With Production Life Science Datasets, nice to haveExperience With Generative AI and LLMs, nice to haveExperience With MCPs, nice to haveExperience in Novel Product Development, nice to haveUS Work Authorization, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Parental Leave
Paid Time Off

Full job description

Associate Life Sciences Analyst, AI Model Training

Company: Norstella

Location: Remote, United States

Date Posted: Nov 13, 2026

Employment Type: Full Time

Job ID: R-2241

Description

Associate Life Sciences Analyst, AI Model Training

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.

About the role:

As an Associate Life Sciences Analyst for Model Training at Norstella, you will sit at the intersection of clinical and scientific domain expertise and applied AI development. This role will be embedded within a group of life science model trainers, and will interface across cross-functional teams of data scientists, operations 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 and life sciences tasks by rating individual responses and rewriting outputs to demonstrate the preferred response.

  • Assist in maintaining evaluation rubrics, preference dimensions, and quality criteria (factual accuracy, clinical reasoning quality, etc) that govern model outputs and preference alignment.

  • 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.

  • Contribute to Norstella’s knowledge graph and taxonomy work and help design new agentic workflows based on domain-grounded language models.

The skills you bring to the table:

  • Bachelor’s degree in life sciences, medical sciences, computer science or equivalent professional experience (imminent degree combined with demonstrated project experience considered).

  • Experience working with structured platforms and data tools; comfort with automation concepts

  • Experience working with large and complex data sets, including data cleaning or 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:

  • Production-grade life science datasets, including with AI-enabled applications.

  • Experience working with Generative AI, especially LLMs, including agents, throughout the software development lifecycle (SDLC).

  • Experience working with MCPs and consuming them into Agentic workflows.

  • Experience in fast-paced, novel product development.

Our Guiding Principles for success at Norstella:

  • 01: Bold, Passionate, and Mission-First

  • 02: Integrity, Truth, and Reality

  • 03: Kindness, Empathy, and Grace

  • 04: Resilience, Mettle, and Perseverance

  • 05: Humility, Gratitude, and Learning

Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.

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

  • Paid Time Off & Company Holidays

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.

Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we’re just as excited about you.

All legitimate roles with Norstella will be posted on Norstella’s job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.

How this job compares

Set against the 4,882 open Data Analyst jobs on Olive Jobs, counted November 15, 2026.

Pay
  • This postingNot listed
  • Mississippi median$81–123K/yr23 salary ranges
  • US median$30–40/hr327 hourly ranges
Openings
Olive Jobs lists 37 open Data Analyst jobs in Mississippi and 4,882 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Mississippi
Experience
Data Analyst postings that state a minimum ask for 3 years of experience at the median; the middle half ask for 2 to 5 years (3,910 postings).
Education
2,024 of the 4,882 open Data Analyst jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 15, 2026. Figures based on too few postings are left out.

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