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/GitHub 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/GitHub and Docker .
Preferred
- Publications in peer-reviewed journals.
- Prior scientific software or research engineering experience.
Start Date
- Immediate
Interview Process
- A 25-minute conversational interview covering your background, experience, and motivations.
- Follow up within a few days with next steps and onboarding.
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Biology PhD - Scientific Coder Arbeitgeber: Mercor
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem innovativen Umfeld zu arbeiten, das sich auf die Entwicklung hochrealistischer Marketing-Simulationsumgebungen konzentriert. Unsere Unternehmenskultur fördert Kreativität und Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen durch Schulungen und Zertifizierungen wie Rubric Academy oder Bootcamp anbieten. Bei uns haben Sie die Chance, Ihre praktischen Erfahrungen im Produktmarketing einzubringen und an spannenden Projekten zu arbeiten, die die Zukunft der KI-gestützten Marketinglösungen gestalten.
