Senior Translational and Computational Biologist (AI)

Location: Hybrid; must live within commuting distance of a hirify.global location and work onsite an average of 2.5 days per week. Locations include Bothell, WA; San Diego, CA; Cambridge, MA; Groton, CT; Pearl River, NY; and New York City, NY.

Annual base salary: $106,000–$176,600, plus a 15% bonus target and potential share-based long-term incentives.

Company

hirify.global develops medicines through research spanning biology, data science, artificial intelligence, and drug discovery.

What you will do

• Own defined analyses and biological investigations across biological, molecular, genetic, clinical, and translational datasets.
• Translate scientific questions into computational workflows, including study populations, cohorts, labels, annotations, and evaluation criteria.
• Generate hypotheses, identify biological patterns, and deliver rigorous evidence-based insights for scientific and portfolio decisions.
• Work with discovery, translational, clinical development, AI, and therapeutic-area scientists.
• Interpret uncertainty and alternative explanations while applying statistical, computational, reproducible research, and documentation practices.
• Communicate findings and develop scientific expertise in disease biology, drug discovery, and clinical development.

Requirements

• PhD preferred in computational biology, bioinformatics, genetics, genomics, systems biology, biostatistics, biomedical engineering, or a related discipline; alternatively, a master's degree with 2+ years of relevant experience.
• Demonstrated success applying computational approaches to biological or biomedical problems.
• Experience independently conducting analyses, managing defined projects or analytical workstreams, and delivering data-driven conclusions with limited oversight.
• Working or strong proficiency in R and/or Python or equivalent computational tools.
• Proficiency in statistical analysis, data visualization, biological data analysis, machine learning fundamentals, and reproducible research practices.
• Demonstrated experience in at least one major data domain: multi-omics, single-cell biology, spatial biology, genetics and genomics, imaging, clinical data, or real-world data.
• Intellectual curiosity, analytical rigor, attention to detail, growth mindset, willingness to learn, ability to incorporate feedback, and enthusiasm for scientific collaboration.
• Must be authorized to work in the United States by any employer and hold permanent U.S. work authorization.

Nice to have

• Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research.
• Experience supporting drug discovery or development activities.
• Familiarity with AI-enabled scientific workflows.
• Experience with multidisciplinary scientific teams and translational, clinical, or therapeutic-area research.
• Experience integrating multiple data sources.

Culture & Benefits

• Meaningful scientific ownership, mentorship, and opportunities to build biological and computational expertise.
• Collaboration with computational biologists, AI scientists, translational researchers, clinicians, and therapeutic-area experts.
• Comprehensive benefits including 401(k) matching and retirement contributions, paid vacation and holidays, caregiver/parental and medical leave, and medical, prescription, dental, and vision coverage.
• Participation in a global performance plan with a 15% bonus target and eligibility for share-based long-term incentives.
• Relocation assistance may be available based on business needs and eligibility.
• U.S. work visa sponsorship, including TN, O-1, and H-1B sponsorship, is not available now or in the future.