Senior Principal Scientist/Principal Scientist (Real-World Evidence & Disease Genomics)

Location: Cambridge, MA; onsite. US and Puerto Rico residents only.

Salary: $148,500–$214,500 per year.

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines through immunoscience, data, and digital platforms.

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 methods for longitudinal medical-record analysis, including classical statistical models and EHR foundation models, within target trial emulation frameworks.
• Define curated disease cohorts and progression endpoints in collaboration with disease-area and medical experts.
• Run genome-wide association studies in patient cohorts to identify genetic drivers of disease and therapeutic response.
• Scale reproducible analyses across FinnGen, UK Biobank, All of Us, and other large population biobank platforms.
• Provide strategic guidance to therapeutic program teams and translate analytical findings into R&D decisions.

Requirements

• Ph.D. in Biomedical Informatics, Epidemiology, Computational Biology, Human Genetics, or a related field, plus 4+ years of post-Ph.D. experience. Biopharma or biotech experience is preferred.
• Excellent knowledge of and hands-on experience with longitudinal EHR datasets and OMOP common data models.
• Knowledge of target trial emulation and causal inference frameworks applied to observational data.
• Familiarity with GWAS methodology and population-scale genomic analyses.
• Good knowledge of diseases and medical practices, with the ability to engage with clinical and disease-area experts.
• Strong coding skills and experience using AI-assisted coding tools such as Cursor or Claude Code.
• Excellent communication skills, including presenting complex analytical findings to scientific and non-scientific stakeholders and influencing strategic decisions.
• Experience with large biobank platforms such as FinnGen, UK Biobank, or All of Us; Trusted Research Environments or cloud platforms such as AWS or GCP.
• Ability to develop scalable, reproducible analytical pipelines for large-scale data processing.
• Experience collaborating across clinical development, translational medicine, and business development.
• Experience with agentic AI frameworks applied to biomedical data analysis or workflow automation.
• Ability to work in an agile, fast-paced environment with evolving priorities and an impact-oriented approach to translating science into R&D decisions.

Culture & Benefits

• Supportive, future-focused environment with opportunities for promotion or lateral career moves.
• Rewards package and employee benefit programs.
• Healthcare, prevention, wellness programs, and at least 14 weeks of gender-neutral parental leave.
• Patient engagement in drug development and studies designed around real-world needs.
• Work at the forefront of AI, data, digital platforms, and drug discovery.