Data Scientist II (Healthcare AI)

Location: Chicago, United States

Salary: $90,000–$135,000 for Chicago; $100,000–$150,000 for NYC/SF. Compensation may vary by location, qualifications, and experience.

Company

hirify.global develops a proprietary precision medicine platform that connects real-world evidence with clinical insights to support treatment decisions.

What you will do

• Lead and execute HEOR and real-world evidence projects covering outcomes, treatment patterns, and healthcare resource utilization.
• Collaborate with pharmaceutical, biotech, academic, scientific, engineering, and product development stakeholders.
• Design, analyze, interpret, and support publication of real-world studies.
• Select and adapt epidemiologic and health economic methodologies for complex problems, including causal inference approaches.
• Build reusable analytical code, templates, and workflows to improve the speed and quality of engagements.
• Follow applicable regulations, data governance requirements, and procedures for real-world data use and reporting.

Requirements

• Master’s degree with at least 2 years of experience, or equivalent, in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or a related quantitative field.
• Computational experience with R and SQL applied to large-scale healthcare datasets.
• Strong data manipulation and analytical skills for observational and real-world data.
• Experience with HEOR and RWE methodologies, including propensity score matching, weighting, and inverse probability of treatment weighting.
• Experience analyzing complex healthcare datasets such as administrative claims, electronic health records, or clinico-genomic databases.
• Ability to communicate complex methodologies, findings, inferences, and study limitations to non-technical stakeholders.

Nice to have

• Experience with time-to-event and survival analysis, oncology, cancer genetics, immunology, or molecular biology.
• Experience with Git, software testing, or validation processes.
• Experience supporting Phase II–IV oncology clinical trials or HEOR studies using claims, EHR, or registry data.
• Experience contributing to FDA or other health authority regulatory submissions.
• Client-facing, consulting, model-building, or model-validation experience.

Culture & Benefits

• Interdisciplinary collaboration across science, engineering, and product development.
• Benefits may include incentive compensation, restricted stock units, medical benefits, and other company benefits depending on the position.
• Equal opportunity employment with consideration for qualified applicants in accordance with applicable law.