Data Scientist II (AI)

Location: Boston, United States

Salary: $100,000–$140,000 for CHI; $110,000–$150,000 for NYC/SF. Compensation may vary by location, qualifications, and experience.

Company

hirify.global develops a proprietary real-world evidence platform connecting clinical, molecular, and other healthcare data to support precision medicine and clinical decision-making.

What you will do

• Partner with pharmaceutical collaborators to execute real-world evidence research plans for trial design and outcomes research.
• Lead the derivation of complex real-world endpoints from clinical and molecular data.
• Apply observational study methods, including causal inference and survival analysis, to real-world healthcare data.
• Use LLMs, agentic workflows, and AI tools to accelerate coding, documentation, code review, and insight generation.
• Interpret analytical results, assess study limitations, and communicate findings through reports, deliverables, manuscripts, and conference materials.
• Collaborate with product, oncology, clinical abstraction, and real-world data science teams to improve data quality and analytical practices.

Requirements

• PhD in epidemiology, biostatistics, data science, public health, or a related field; or a master’s degree with 2+ years of additional work experience.
• Experience analyzing observational real-world healthcare data and executing real-world data studies.
• Proficiency with R, SQL, statistical tools, and time-to-event methodologies such as survival analysis.
• Experience applying machine learning, LLM-based coding assistants, and agentic frameworks to data analysis, code review, or scientific documentation.
• Knowledge of software engineering practices, including version control, modular code, and documentation.
• Strong client communication, presentation, project management, and cross-functional collaboration skills.

Nice to have

• Pharmaceutical, drug development, or Phase II–III clinical trial design experience.
• Experience with claims, EHR, registry, biomarker, molecular, or genomics data.
• Knowledge of oncology guidelines such as NCCN and ongoing clinical trials.
• Experience configuring or adapting LLMs for scientific work.
• Experience with AWS, BigQuery, or Google Cloud Platform.

Culture & Benefits

• Full-time employment with benefits that may include incentive compensation, restricted stock units, medical coverage, and other benefits.
• Work with multidisciplinary scientists on complex healthcare and precision medicine problems.
• Equal opportunity employment with consideration for qualified applicants with arrest or conviction records in accordance with applicable law.