{"id":3289774,"url":"https://alion.io/job/mercor-computational-biologist-fully-remote-upto-100hr","title":"Computational Biologist - Fully Remote | Upto $100/hr","company":{"id":4960,"name":"Mercor","domain":"mercor.com","url":"https://alion.io/company/mercor","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":15,"ghost_share":0,"stale_share":0.267,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Biotech","role_family":"Biotech","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-02T02:58:25Z","employer_posted_date":null,"last_verified_at":"2026-10-02T02:58:25Z","board_verified":false,"closed_at":null,"days_open":28,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":28},"description":"About the jobMercor 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.\nPosition: STEM Computational Scientific Software & Evaluation Design - Pharmacokinetics & Systems Biology\nType:Contract\nCompensation:$70–$100/hour\nLocation:Remote\nCommitment:15–20 hours/week\nRole Responsibilities\nDesign challenging computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools.\n\nDevelop problems that test AI systems' ability to implement complex multi-step scientific workflows and strategic reasoning.\n\nCalibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty.\n\nCollaborate with AI research teams to improve model outputs and training data quality.\n\nWork independently and asynchronously to meet deadlines and improve AI model performance.\n\nQualifications\nMust-Have\n\nGraduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).\n\nProficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work.\n\nStrong Python programming skills for writing problem setups, oracle functions, and solution validators.\n\nAbility to work independently and iterate on problem designs based on calibration feedback.\n\nComfortable in a Linux/terminal environment with remote compute sandboxes.\n\nPreferred\nExperience across multiple listed domains or tools.\n\nFamiliarity with benchmark or evaluation design.\n\nBackground in scientific pedagogy or exam/problem-set design.\n\nExperience with computational reproducibility and containerized environments.\n\nApplication Process (Takes 20–30 mins to complete)\nUpload resume\n\nAI interview based on your resume\n\nSubmit form\n\nResources & Support\nFor details about the interview process and platform information, please check: \n\nFor any help or support, reach out to: \n\nPS: Our team reviews applications daily. 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