Senior Data Scientist, Outcomes Research

🕒 Abril 30

🌽 Illinois – Remoto

🌽 Illinois – Remote

💵 $100.000 - $160.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Tempus AI

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2015

🧬 Biotecnologia

🤖 Inteligência Artificial

Healthcare • Biotechnology • Artificial Intelligence

A Tempus AI é uma empresa de tecnologia avançada em saúde que se especializa em medicina de precisão através do uso de IA e perfil genômico. A empresa oferece soluções inovadoras em diversos campos médicos, incluindo oncologia, cardiologia, neurologia e psiquiatria. A Tempus permite que os profissionais de saúde tomem decisões informadas sobre tratamentos integrando dados do mundo real, pareamento de ensaios clínicos e testes algorítmicos para melhorar os resultados dos pacientes e acelerar o desenvolvimento de medicamentos.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• incentive compensation • restricted stock units • medical and other benefits