AI Trainer - Life Science
- Canada
Contract
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Job details
- Job type
- Contract
- Experience
- 2+ years of hands-on experience in a relevant scientific or clinical discipline
- Posting language
- English
- Posted
Original job description
Summary
Use your real-world scientific or clinical expertise to assess AI-generated analyses, experimental designs, biological interpretations, clinical decisions, and research outputs. You'll help train AI systems to reason more effectively across life sciences and healthcare domains.
Responsibilities:
- Design realistic scientific and clinical scenarios based on professional experience
- Evaluate AI-generated research, analyses, protocols, and recommendations
- Compare AI outputs and identify scientific inaccuracies, reasoning gaps, and missed insights
- Develop grading criteria and evaluation rubrics
- Provide detailed feedback grounded in scientific evidence and professional standards
Requirements:
- Bachelor's degree or higher in a Life Sciences-related field
- 2+ years of hands-on experience in a relevant scientific or clinical discipline
- Strong written communication and analytical skills
- Ability to explain complex scientific concepts clearly
- Experience working independently and managing self-directed projects
- Familiarity with AI tools such as ChatGPT, Claude, or similar platforms
Preferred Backgrounds:
- Drug Discovery & Translational Science
- Computational Biology & Bioinformatics
- Experimental Biology
ABOUT PLANET PHARMA
Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its headquarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering.
Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognized by FORBES as the 17th best professional staffing firm and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing.
We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.
www.planet-pharma.com
APPLY
Please click ‘apply’ or contact Ann Salvador. (Recruitment Sourcer) at Planet Pharma for more information:
E: ASalvador@planet-pharma.com
Linkedin: www.linkedin.com/in/ann-salvador/
More about this job
Responsibilities
Create realistic scientific and clinical scenarios, then assess AI-generated research, analyses, protocols, recommendations, and other outputs. Compare AI responses, identify inaccuracies and reasoning gaps, develop evaluation rubrics, and provide evidence-based feedback.
Requirements
Requires a bachelor's degree or higher in a life sciences-related field and at least two years of hands-on experience in a relevant scientific or clinical discipline. Candidates should have strong analytical and written communication skills, explain complex concepts clearly, work independently, and be familiar with AI tools such as ChatGPT or Claude.
Skills
- Scientific Evaluation
- Clinical Evaluation
- Experimental Design
- Biological Interpretation
- Research Analysis
- Protocol Evaluation
- Scientific Reasoning
- Evidence-Based Feedback
- Evaluation Rubric Development
- Analytical Skills
- Written Communication
- Drug Discovery
- Translational Science
- Computational Biology
- Bioinformatics
- Experimental Biology
Visa sponsorship
Not detected in the job text
Hiring contact
Ann Salvador
Hiring contact email
ASalvador@planet-pharma.com
Categories
- Science & Research
- Healthcare
- Technology
- Data & Analytics
Keywords
- Artificial Intelligence
- Life Sciences
- Healthcare
- Scientific Evaluation
- Clinical Evaluation
- Experimental Design
- Biological Interpretation
- Research Outputs
- Research Analysis
- Protocols
- Scientific Reasoning
- Evaluation Rubrics
- Evidence-Based Feedback
- Drug Discovery
- Translational Science
- Computational Biology
- Bioinformatics
- Experimental Biology
- ChatGPT
- Claude
- Clinical Decisions