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Job Description & How to Apply Below
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Biology PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week
Role Responsibilities
- Source material from published papers, Kaggle datasets, or open-source repositories to create research problems.
- Write scientific prompts and develop grading criteria for correct answers.
- Calibrate tasks against frontier models, ensuring strong models fail more often than they succeed.
- Utilize Python, R, or other programming languages for scientific computing.
- Work with Git/Git Hub and Docker for code execution and quality checks.
- Collaborate asynchronously and independently to meet deadlines and improve AI model performance.
Qualifications
Must-Have
- PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.
- Depth in at least two subdomains: ecology, biochemistry, genetics.
- Proficiency in Python, R, or another relevant programming language.
- Comfortable with Git/Git Hub and Docker.
Preferred
- Publications in peer-reviewed journals.
- Prior scientific software or research engineering experience.
Start Date
- Immediate
Interview Process
- Upload your resume and application form.
- A 25-minute conversational interview covering your background, experience, and motivations.
- Follow up within a few days with next steps and onboarding.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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