Role Description 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: Biotechnology Research Expert Type: Contract Compensation: $1,150–$1,450 per completed task Location: Remote Role Responsibilities - Review and evaluate AI-generated outputs related to experimental design, genomic data analysis, protein characterization, and biotech research methodologies. - Create realistic scenarios based on laboratory and research workflows such as gene expression analysis, CRISPR experimental protocols, and proteomics data interpretation. - Annotate, label, and validate data across biotech research use cases, including sequencing pipeline accuracy and molecular target identification. - Provide structured feedback on AI accuracy in molecular biology techniques, genomics and proteomics standards, and regulatory guidelines. - Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI. Qualifications - 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology. - Background in genomics and next-generation sequencing (NGS), proteomics, molecular biology, or drug discovery. - Advanced degree (MS, PhD) in a relevant life sciences field strongly preferred. - Professional experience at a biotech company, CRO, academic research lab, or pharmaceutical R&D organization. - Strong analytical thinking and ability to translate complex research workflows into structured evaluation tasks. - Clear written communication and attention to detail. Requirements - Task Completion Pay: Competitive and based on task quality. - Performance Bonus: Top performers receive a weekly bonus incentive. - Hourly Opportunity: Top performers may transition to an hourly compensation model. 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 - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description 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: PhD Physicist — Frontier Reasoning Trajectory Writer Type: Contract Compensation: $80–$120/hour Location: Remote Commitment: 15 hours/week Role Responsibilities - Produce "golden trajectories" for hard physics problems with complete, step-by-step solutions. - Work in Studio and iterate with a frontier LLM to draft and refine reasoning. - Develop trajectories clean enough to use as training data. - Evaluate problems screened by a frontier LLM requiring failure at least once. - Work independently and asynchronously to meet deadlines. Qualifications - Must-Have PhD in physics or in the final 1–2 years of a PhD program. - Daily-driver fluency in LaTeX and Python. - Comfort with iterative LLM workflows. - Detail-oriented; comfortable producing publication-grade derivations. Requirements - Submit your application. - Complete the short technical assessment. - Strong applicants will be invited to a follow-up interview. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description We're hiring a Decision Scientist to build and extend the models, pricing logic, and financial simulations that support Caremark's sales and underwriting decisions. This is a hands-on, build-oriented role — most of your time will be spent writing Python and SQL that ships into production tools real underwriters and pricing leaders use. What You'll Do: - Develop predictive models, risk and profitability logic, and scenario/forecast frameworks that translate claims, contract terms, and market signals into actionable numbers. - Partner with underwriters, pricing actuaries, and finance to translate business questions into testable code — pricing calculators, P&L tools, recurring forecasts, and the rule engines underneath them. - Balance a long-running model build, a quick-turn analysis for a sales leader, and a recurring reporting cycle in the same week. Qualifications - 3+ years of hands-on experience delivering data science or advanced analytics in a regulated, numbers-heavy environment (healthcare, PBM, insurance, banking, or similar). - Production-quality Python (or R) — not throwaway notebooks — and advanced SQL across complex, multi-source datasets. - Solid statistical fundamentals: regression, classification, clustering, time-series forecasting, hypothesis testing. - Working knowledge of cloud data platforms (GCP, Azure, AWS, or Databricks/Snowflake) and PySpark or equivalent for large-scale data work. - Comfort with financial concepts (margin, loss ratio, premium, retention) — or proven ability to pick them up fast. - Low-maintenance, high-output: takes context and runs, flags own mistakes early, frames every analysis around the decision it supports. Requirements - Experience building pricing models, risk scoring tools, portfolio optimization logic, or financial simulation frameworks. - Familiarity with pharmacy claims data, PBM economics, or actuarial concepts. - Streamlit, Dash, or similar Python application frameworks. - Experience deploying models or analytical tools into production environments. Education - Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Engineering, Actuarial Science, or similar) required. - Master's degree preferred. Benefits - Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. - Medical, dental, and vision coverage. - Paid time off. - Retirement savings options. - Wellness programs and other resources, based on eligibility. Pay Range The typical pay range for this role is: $64,890.00 - $158,620.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography, and other relevant factors. This position is eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay range listed above.

Role Description The Applications Scientist – Bioinformatics role is responsible for aiding customers’ next generation sequencing (NGS) analyses and delivering pre‑ and post‑sales technical bioinformatic support for IDT’s NGS products. This position reports to the Manager, Scientific Applications Support - NGS and is part of the Scientific Applications Support department and will be fully remote. In this role, you will have the opportunity to: - Communicate with and support customers to provide pre- and post-sales technical support for a growing genomics-focused product offering and associated bioinformatics analysis platform. - Maintain knowledge in IDT’s growing database of technical information. - Answer or triage customer inquiries or software troubleshooting requests received by email promptly. - Document all incoming and outgoing customer interactions in IDT’s Customer Relationship Management (CRM) database. - Support the complaint triage and investigation process and assist with complaint resolution by determining the cause of the problem, selecting and explaining the best solution to solve the problem, and expediting resolution to the customer’s satisfaction. - Provide technical expertise for customers (internal and external) regarding IDT’s NGS products, workflows, applications, and analysis. - Escalate product questions, customer issues, or technical inquiries as needed. - Communicate complex concepts and engage in highly technical conversations while building and maintaining relationships with customers. Qualifications - Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, or related field. PhD is a plus. - At least 3 years of experience in processing and analyzing NGS datasets. - Previous experience working in a customer-facing role. - Fluency in English (written and spoken). Fluency in French or German (written and spoken) is a plus. Requirements - Basic script writing experience (Python preferred). - Hands-on experience with NGS library preparations and sequencing analysis. - Familiarity with Archer and/or IDT NGS product offerings. Benefits - Flexible, remote working arrangements for eligible roles. - Enriching careers, no matter the work arrangement.