Senior Data Scientist I (RWE)

Location: Boston, United States

Salary: $120,000–$170,000 annually for the listed California range; $130,000–$180,000 for NYC/SF. Compensation may vary by location, qualifications, and experience.

Company

hirify.global develops an AI-enabled real-world evidence platform connecting clinical and molecular data to support precision medicine and healthcare decision-making.

What you will do

• Lead the design and delivery of real-world evidence analyses for pharmaceutical clients.
• Translate drug development questions into research plans for trial design and outcomes research.
• Derive complex real-world endpoints from clinical and molecular datasets using extensive coding.
• Develop methodological standards, reusable code, and internal analytical packages.
• Apply LLMs, agentic workflows, and other AI tools to accelerate coding, review, documentation, and insight generation.
• Interpret and communicate analytical results, limitations, and study implications to technical and non-technical stakeholders.

Requirements

• Education in epidemiology, biostatistics, data science, public health, or a related field: PhD with 2+ years of additional experience, or master's degree with 4+ years of additional experience.
• Expertise with observational real-world healthcare data and time-to-event methodologies, including survival analysis.
• Proficiency in R and SQL, statistical tools and packages, machine learning, and LLM-based coding assistants or agentic frameworks.
• Experience with software engineering practices, version control, modular code, documentation, and code review.
• Client-facing communication experience, strong presentation skills, and the ability to work with multidisciplinary scientific teams.

Nice to have

• Pharmaceutical, drug development, or Phase II–III clinical trial design experience.
• Experience analyzing claims, EHR, registry, biomarker, genomic, or other high-dimensional molecular data.
• Experience building or configuring LLM-based tools and agentic workflows for scientific discovery.
• Knowledge of oncology guidelines such as NCCN.
• Experience with AWS, BigQuery, or Google Cloud Platform.

Culture & Benefits

• Collaboration with product, oncology, clinical abstraction, and real-world data science teams.
• Opportunity to contribute to data quality, product development, and analytical best practices.
• Benefits may include incentive compensation, restricted stock units, medical coverage, and other benefits depending on the position.
• Equal opportunity employment with consideration under applicable fair-chance employment laws.