Note: The job is a remote job and is open to candidates in USA. Tempus AI is a company focused on advancing precision medicine through AI technology. They are seeking a highly motivated Sr. Data Scientist to lead and execute HEOR and RWE projects, collaborating with various partners to provide data-driven insights in the healthcare sector.

Responsibilities

• Lead and execute HEOR and RWE projects (e.g., outcomes analysis, treatment patterns, and healthcare resource utilization) with external Pharma, academic, and other partners
• Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation, and publication of real-world studies
• Work on complex problems, exercising judgment in selecting and adapting appropriate epidemiologic and health economic methodologies
• Work with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients
• Stay current with the latest methodological advances in real world studies
• Build infrastructure including reusable code
• Comply with all applicable regulations and Company procedures

Skills

• Advanced degree (Masters with 5+ years of experience or PhD with 3+ years of experience) or Bachelor's degree with 8+ years of experience in data science, bioinformatics, biostatistics, epidemiology, public health, or related fields
• Computational skills using R and SQL, specifically applied to large-scale healthcare datasets
• Strong data manipulation and analysis skills tailored to observational data
• Deep familiarity with HEOR and RWE methodologies, including techniques to address confounding (e.g., propensity score matching, inverse probability weighting)
• Experience analyzing large, complex real-world datasets, including administrative claims, electronic health records (EHR), and clinico-genomic databases
• Strong communication and presentation skills, with the ability to effectively translate complex methodologies to non-technical stakeholders
• Self-driven mindset with the ability to tackle ambiguous problems and work well in interdisciplinary teams
• Experience with time-to-event analysis and survival methodology
• Experience working in oncology and/or analyzing outcomes specific to cancer genetics, immunology, or molecular biology
• Collaborative approach, an eagerness to learn, and a high-integrity work ethic
• Sharp attention to detail and passion for delivering high-quality, timely analytics
• Ability to draw appropriate inferences based on study design and explicitly assess and communicate study limitations

Benefits

• Incentive compensation
• Restricted stock units
• Medical and other benefits depending on the position

Company Overview

Company H1B Sponsorship