Associate Director RWE, PharmaR&D (AI)

Location: Boston, MA; New York City, NY; Chicago, IL; and San Francisco, CA

Salary: $155,000–$200,000 USD for Chicago; $165,000–$210,000 USD for New York City and San Francisco. The range may vary by location.

Company

hirify.global develops AI-powered healthcare technology and real-world evidence solutions for precision oncology, connecting clinical, claims, genetic, and digital pathology data.

What you will do

• Design, propose, and execute real-world evidence research projects for biopharmaceutical partners.
• Lead the derivation of complex real-world endpoints using extensive coding and Tempus clinical and molecular data.
• Perform computational analyses and guide algorithm development for cancer precision medicine.
• Apply LLMs, foundation models, agentic workflows, and other AI tools to accelerate coding, documentation, review, and insight generation.
• Collaborate with Research, Engineering, and Data Science teams to develop computational solutions.
• Translate pharmaceutical pipeline strategies and oncology research findings into actionable client insights.

Requirements

• Advanced degree in epidemiology, biostatistics, data science, public health, or a related field, with either a PhD and 5+ additional years of experience or a master’s degree and 7+ additional years of experience.
• Experience at a pharmaceutical company or in a client-facing analytical role.
• Expertise in observational real-world healthcare data and complex time-to-event methodologies, including survival analysis.
• Proficiency in R, Python, SQL, and computational biology packages.
• Strong understanding of cancer biology, a peer-reviewed publication record, and experience leading RWD studies from scoping through publication or dissemination.
• Strong scientific communication skills and adherence to software engineering practices such as version control and documentation.

Nice to have

• Experience with large transcriptome and NGS datasets, claims, EHR, registry, biomarker, genomic, or other high-dimensional molecular data.
• Experience applying machine learning, statistical modeling, LLM-based coding assistants, and agentic frameworks.
• Clinical trial design experience, particularly Phase II–III development programs.
• Familiarity with NCCN guidelines and oncology standards of care.
• Experience with package development, tidyverse, Git, matplotlib, Pandas, and Jupyter Notebook.

Culture & Benefits

• Full-time employment in a dynamic environment with shifting priorities.
• Opportunity to work with large-scale real-world clinical and molecular datasets.
• Benefits may include incentive compensation, restricted stock units, medical coverage, and other benefits depending on the position.