Senior Principal Scientist/Principal Scientist, Real-World Evidence & Disease Genomics

Location: Cambridge, Massachusetts, United States; onsite

Salary: $148,500–$214,500 per year

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines across therapeutic areas.

What you will do

• Lead indication prioritization and expansion for internal and external R&D assets using large-scale EHR datasets and population biobanks.
• Develop longitudinal medical-record analysis methods, including classical statistical models and EHR foundation models.
• Define disease cohorts and progression endpoints for target trial emulation and genomic analyses.
• Run genome-wide association studies in curated patient cohorts to identify genetic drivers of disease and therapeutic response.
• Scale reproducible methods across biobanks including FinnGen and All of Us to support R&D strategy.
• Collaborate with disease experts, medical teams, clinical development, translational medicine, therapeutic program leads, and business development.

Requirements

• Ph.D. in Biomedical Informatics, Epidemiology, Computational Biology, Human Genetics, or a related field, plus 4+ years of post-Ph.D. experience.
• Hands-on experience with longitudinal EHR datasets and OMOP common data models.
• Knowledge of target trial emulation, causal inference, GWAS, and population-scale genomic analysis.
• Strong coding skills and experience with AI-assisted coding tools such as Cursor or Claude Code.
• Experience with large biobanks, Trusted Research Environments, or cloud platforms such as AWS and GCP.
• Ability to develop scalable analytical pipelines and communicate findings to scientific and non-scientific stakeholders.

Nice to have

• Experience in the biopharma or biotech industry.
• Experience with agentic AI frameworks for biomedical data analysis or workflow automation.
• Experience working with UK Biobank in addition to FinnGen or All of Us.

Culture & Benefits

• Agile, fast-paced environment with industry-leading data infrastructure.
• Opportunities for career growth through promotion or lateral moves.
• Employee rewards and benefits programs.
• Healthcare, prevention, and wellness benefits.
• At least 14 weeks of gender-neutral parental leave.
• Patient-informed drug development and access to AI, data, and digital platforms.