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: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $55–$80/hour Location: Remote Role Responsibilities - Contribute subject matter expertise to a cutting-edge project involving state-of-the-art large language models. - Create high-quality data to inform the future of AI innovation by developing challenging problems in your domain. - Evaluate and improve AI model training and outputs to ensure accuracy and depth. - Collaborate with AI research teams to enhance training data quality and performance. - Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications - Must-Have: PhD or advanced degree in Medicine / Healthcare, Statistics and Data Science, AI / ML Research, Computer Science, Game Development, or Mechanical / Aerospace Engineering. - High attention to detail. - Exceptional written and verbal communication skills. Requirements - Complete a short interview and task (20–30 mins). - Paid onboarding time for up to 1 hour, including videos. - Application Process (Takes 20–30 mins to complete): - 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 Details - 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 We are looking for a Senior Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. The role requires extensive data science experience applied to cybersecurity, vulnerability management, or financial risk modeling. - Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact; - Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework; - Create machine learning algorithms and statistical models to automatically identify and filter scanning noise and false positives; - Establish unified data delivery structures, reporting frameworks, and dashboards to support data-driven security governance; - Analyze large-scale security telemetry datasets to generate actionable insights; - Collaborate with security, engineering, and platform teams to improve risk visibility and prioritization processes; - Drive the adoption of advanced analytics and machine learning techniques across vulnerability management workflows. Qualifications - 6+ years of commercial Data Science experience with the ability to operate autonomously and independently; - Advanced proficiency in Python, R, and SQL; - Experience with machine learning frameworks such as TensorFlow and PyTorch; - Experience with data visualization and reporting tools; - Prior commercial experience applying Data Science to cybersecurity, vulnerability management, or financial risk models; - Strong analytical and quantitative problem-solving skills; - Upper-intermediate English level. Requirements - Familiarity with Cloud Security Posture Management (CSPM) platforms and data outputs, such as Wiz. Benefits - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive compensation. - Exciting projects: Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, with options for remote work and flexible hours.

• Use statistical analysis, machine learning methods, and advanced data technologies to analyze complex datasets and develop predictive models • Leverage programming languages such as SAS, SQL, SPSS, R, Python to manage, extract, and analyze data from relational databases • Collaborate with clinical investigators on human-based study design and statistical analysis • Document best practices and solution frameworks • Communicate and present analytical findings to other investigators

Role Description As a Safety Scientist at ICON, you will design and analyse clinical trials, interpreting complex medical data, and contribute to the advancement of innovative treatments and therapies. You will contribute to scientific operations activities, taking responsibility for your deliverables and working collaboratively. Key responsibilities include: - Conducting safety surveillance activities for assigned projects, including the review and interpretation of safety data. - Partnership with cross-functional teams to ensure the safety of study participants and compliance with regulatory requirements. - Contributing to the development and implementation of safety management plans and risk minimization strategies. - Participating in safety review meetings and providing expert input on safety-related matters. - Contributing to the preparation of safety-related documents for regulatory submissions and responses to regulatory queries. Qualifications - Bachelor's degree in a relevant scientific discipline or healthcare-related field. - Minimum of 2 years of experience in pharmacovigilance or drug safety within the pharmaceutical or clinical research industry. - Strong understanding of pharmacovigilance principles, regulations, and guidelines. - Excellent analytical and critical thinking skills, with the ability to interpret complex medical data. - Effective communication skills, with the ability to cooperate effectively with cross-functional teams. - Detail-oriented and able to work effectively in a fast-paced environment with changing priorities. Requirements - Employment with ICON is contingent upon having the legal right to work in the country where the role is based. Benefits - Competitive base salary and performance related incentives. - Health and wellbeing programmes including medical, dental, and vision coverage where applicable. - Retirement and pension plans. - Life assurance and disability coverage. - Employee assistance programmes and wellbeing resources. - Learning and development opportunities through structured training and career pathways. - Benefits may vary depending on role and location. Company Description ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.