• Serve as the primary research advisor for 5-8 enterprise-level employer partners • Scope projects and create workplans that align research design with client objectives • Lead end-to-end research projects independently • Distilling quantitative and qualitative findings into clear, executive-ready summaries • Present research findings directly to senior and executive-level stakeholders • Contribute to research strategy by generating ideas for new project objectives

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: Primary Care Physician (PCP) Type: Contract Compensation: $100–$130/hour Location: Remote Role Responsibilities - Review and annotate clinical text, EHR data, and patient case notes to identify diagnoses, co-morbidities, treatment plans, and outcomes. - Structure complex medical information for AI training and reasoning to enhance decision-making and care delivery. - Audit annotated datasets to ensure high clinical accuracy and consistency, validating AI-generated outputs like summaries and recommendations. - Contribute to annotation guidelines, taxonomies, and decision frameworks, defining edge cases and nuanced clinical scenarios. - Evaluate AI systems for clinical workflows, flagging inaccuracies and providing structured feedback to improve model performance. - Map real-world clinical workflows into AI-compatible processes to support seamless integration into healthcare operations. Qualifications - Must-Have - MD or DO - Board-certified or board-eligible - Active medical license in good standing - 2+ years of clinical experience, preferably in inpatient or hospitalist settings - Preferred - Academic hospital experience 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.

Role Description Are you an undergraduate interested in climate science, machine learning, data science, or polar research? Join the SETI Institute for a hands-on 10-week summer research experience contributing to an active National Science Foundation (NSF) project focused on improving predictions of Arctic summer sea ice cover. This NSF-Funded Project: Advancing Predictive Understanding of Summertime Arctic Sea Ice, develops advanced machine learning models to forecast summertime Arctic sea ice extent and regional coverage from a few weeks to an entire season ahead. It explores how sea ice preconditioning, ice-ocean-atmosphere interactions, and remote global climate influences (such as ocean temperatures and wind patterns) combine in complex, non-linear ways. Your work will help quantify the predictability horizon of these forecasts and better understand the physical drivers behind rapid Arctic changes — with real-world implications for global climate, economies, and ecosystems. This project is carried out in collaboration with researchers at UCLA and UCSB, creating an interdisciplinary framework that connects machine learning, climate dynamics, and Arctic prediction. This is an excellent opportunity for undergraduates to: - Gain real research experience on a timely NSF-funded project addressing one of the most visible signals of climate change: the rapid loss of Arctic summer sea ice. - Build skills in advanced machine learning, big data analysis, and climate modeling — highly valued in academia, government (NOAA, NASA), and industry. - Work in a collaborative environment at the SETI Institute’s Carl Sagan Center while contributing to broader polar science goals. Qualifications - No prior Arctic research experience is required — enthusiasm for data-driven science and learning new computational tools is what matters most. - Must be a current undergraduate (rising sophomores to seniors) majoring in any of the following disciplines: physics, atmospheric/climate science, computer science, data science, mathematics, engineering, or related fields. - Must have strong interest in machine learning. Python/data analysis, or climate modeling is highly desirable. - U.S. citizens or permanent residents per NSF guidelines. Requirements - Frequent to continuous sitting. - Frequent to continuous use of computer monitor, mouse, and keyboard. - Frequent use of standard office equipment. - Occasional bending, reaching, kneeling. Benefits - Hourly pay range: $20.00. - 10 weeks, early June – early August 2026 (start and end date to be determined).

We are currently seeking a Contract Senior Clinical Research Associate to join our diverse and dynamic team. This will be for a 6 month contract. As a Senior Clinical Research Associate at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of innovative treatments and therapies. What you will be doing - Conducting site qualification, initiation, monitoring, and close-out visits for clinical trials. - Ensuring protocol compliance, data integrity, and patient safety throughout the trial process. - Collaborating with investigators and site staff to facilitate smooth study conduct. - Performing data review and resolution of queries to maintain high-quality clinical data. - Contributing to the preparation and review of study documentation, including protocols and clinical study reports Your profile - Bachelor’s degree in a scientific or health-related field or an equivalent combination of education and clinical research experience, particularly in a study coordinator or nursing role - Minimum of 3 years independent monitoring - In-depth knowledge of clinical trial processes, regulations, and ICH-GCP guidelines. - Strong organizational and communication skills, with attention to detail. - Ability to work independently and collaboratively in a fast-paced environment. - Ability to travel at least 80% of the time (international and domestic - fly and drive) and should possess a valid driver’s license Are you a current ICON Employee? Please click here to apply: link