Sr. Data Scientist, Outcomes Research

Location: Chicago, United States; remote roles are available in the United States. Other listed locations include Boston, Redwood City, and New York City.

Salary: $100,000–$160,000 for Remote US roles; $115,000–$175,000 for NYC/SF roles. The range may vary for Colorado, Illinois, and New York.

Company

hirify.global develops a proprietary precision-medicine platform that connects real-world evidence with clinical insights for healthcare providers and life-science partners.

What you will do

• Lead and execute HEOR and real-world evidence projects covering outcomes analysis, treatment patterns, and healthcare resource utilization.
• Represent Outcomes Research and collaborate with Pharma, biotech, academic, internal, and external stakeholders on study design, analysis, interpretation, and publication.
• Select and adapt epidemiologic and health economic methodologies for complex research problems.
• Partner with scientists, engineers, and product developers to translate research into clinically actionable insights.
• Track methodological advances in causal inference and pharmacoepidemiology.
• Build reusable code, templates, and workflows while complying with real-world data regulations, governance, and company procedures.

Requirements

• Advanced degree in data science, bioinformatics, biostatistics, epidemiology, public health, or a related quantitative field: Master’s with 5+ years of experience, PhD with 3+ years, or Bachelor’s with 8+ years.
• Computational experience with R and SQL applied to large-scale healthcare datasets.

Nice to have

• Strong data manipulation and analytical skills for observational and real-world data.
• Familiarity with HEOR and RWE methodologies, including propensity score matching, weighting, and inverse probability of treatment weighting.
• Experience with administrative claims, electronic health records, and/or clinico-genomic databases.
• Strong communication and presentation skills for explaining complex methods and findings to non-technical stakeholders.
• Ability to solve ambiguous problems and work effectively in interdisciplinary teams.
• Experience with time-to-event and survival analysis.
• Oncology experience and/or experience analyzing outcomes related to cancer genetics, immunology, or molecular biology.
• Collaborative working style, eagerness to learn, high-integrity work ethic, attention to detail, and commitment to high-quality, timely analytics.
• Ability to draw appropriate inferences from study design and assess and communicate study limitations.
• Experience with Git, software testing, or validation processes.
• Experience with oncology Phase II–IV clinical trials and/or RWD studies using claims, EHR, or registry data.
• Experience contributing to FDA or other health-authority regulatory submissions.
• Experience supporting model building and validation, including feature engineering and performance assessment.
• Client-facing or consulting experience and comfort presenting recommendations to external stakeholders.

Culture & Benefits

• Work on precision medicine, healthcare, and real-world evidence initiatives.
• Collaboration with interdisciplinary scientific, engineering, product, Pharma, biotech, and academic groups.
• Benefits may include incentive compensation, restricted stock units, medical benefits, and other benefits depending on the position.
• Equal opportunity employment with consideration under applicable fair-chance employment laws.