Clinical Data Entry and Labeling Associate (Part Time)
About The Position
Faro Health aims to improve lives by helping life sciences companies answer complex clinical questions, simply, efficiently and effectively. Our software platform is used to orchestrate complex clinical development with a single source of truth. It brings words, data and teams together, empowering researchers to design more intelligent trials, master complexity and reach milestones faster. Role Overview The Clinical Data Entry and Labeling Associate (Part Time) is an internal, part time role focused on structured data production for AI quality assessment and improvement. The role combines data entry and data labeling work performed using predefined rules and guidelines. The emphasis is on accuracy, consistency, and throughput rather than independent clinical judgment or customer interaction. Open to candidates in San Diego, CA ONLY. Note: Candidates and Recruiting Agencies, please do not contact our employees regarding the position or your application status. Doing so will automatically disqualify you from the position or working with us. Only applications submitted through the designated link will be considered. Please DO NOT SPAM our employees regarding the role or your application status.
Requirements
- Enrollment in or completion of coursework in biology, computational biology, bioinformatics, biomedical engineering, or a related life sciences field
- Ability to read and understand scientific and clinical documents
- Strong attention to detail and comfort performing structured, repetitive tasks
- Reliable availability for twenty to thirty hours per week
- Ability to follow detailed written instructions and apply rules consistently
Nice To Haves
- Familiarity with clinical trial protocols
- Experience with data entry, data labeling, or data annotation work
- Interest in applied AI in life sciences
- Ability to work East Coast business hours
Responsibilities
- Extract information from clinical trial protocols and related documents and enter it into structured fields in the Faro platform
- Apply labeling and annotation guidelines to structured data to support AI model training and evaluation
- Follow defined rules and quality standards consistently across large volumes of work
- Perform self review and peer review using established quality check processes
- Flag ambiguous or unclear source content for review rather than resolving independently
- Meet accuracy and productivity expectations for data entry and data labeling tasks
- Collaborate cross‑functionally to capture recurring issues, translate them into actionable product/training improvements
Benefits
- Retirement Plan (401k)
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
Education Level
No Education Listed
