Senior Computational Biologist I (AI)

Location: New York City, United States

Salary: $115,000–$175,000 USD annually for NYC; the range may vary for other locations.

Company

hirify.global develops a precision medicine platform that connects real-world clinical and molecular evidence to support treatment decisions and healthcare research.

What you will do

• Lead and contribute to research projects supporting R&D and Medical Affairs initiatives.
• Analyze large-scale real-world clinical and multi-omic molecular datasets.
• Translate scientific questions from medical science teams and oncology research leaders into actionable insights.
• Present research insights to external partners and communicate findings to audiences with different levels of technical and genomics expertise.
• Track advances in real-world study methods, DNA/RNA next-generation sequencing, and oncology guidelines.
• Contribute to publications and podium activities.

Requirements

• PhD in a quantitative NGS-related discipline such as Computational Biology or Genetics, with 3+ years of industry or academic experience, or a Computational Biology PhD with strong multi-omic and high-throughput sequencing analysis experience.
• Strong computational skills in R and SQL, including relevant statistical tools and packages.
• Experience deriving oncology-specific clinical insights from genomic data and real-world endpoints using time-to-event methodologies in retrospective databases.
• Strong project management skills and experience collaborating with multidisciplinary scientific teams to define and execute analysis plans.
• Experience working with genomics and transcriptomics datasets.
• Role location: New York City, United States.

Nice to have

• Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes.
• Experience with AWS, BigQuery, or Google Cloud Platform.
• Proficiency in machine learning techniques and understanding of predictive and prognostic algorithms in medical research.

Culture & Benefits

• Fast-paced environment with flexibility to shift priorities.
• Collaborative work with multidisciplinary scientists, medical science teams, and oncology research leaders.
• Benefits may include incentive compensation, restricted stock units, medical benefits, and other benefits depending on the position.
• Commitment to integrity and equal employment opportunity.