Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Computational Biologist
Location
Worldwide
Posted
23 days ago
Salary
$70 - $100 / hour
Seniority
Mid Level
No structured requirement data.
Job Description
Computational Biologist
Mercor
Role Description - Design challenging computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools. - Develop problems that test AI systems' ability to implement complex multi-step scientific workflows and strategic reasoning. - Calibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty. - Collaborate with AI research teams to improve model outputs and training data quality. - Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications - Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience). - Proficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work. - Strong Python programming skills for writing problem setups, oracle functions, and solution validators. - Ability to work independently and iterate on problem designs based on calibration feedback. - Comfortable in a Linux/terminal environment with remote compute sandboxes. Requirements - Experience across multiple listed domains or tools. - Familiarity with benchmark or evaluation design. - Background in scientific pedagogy or exam/problem-set design. - Experience with computational reproducibility and containerized environments. Benefits - Compensation: $70–$100/hour - Location: Remote - Commitment: 15–20 hours/week Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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