Postdoctoral Associate (AI/ML, Cancer Genomics)

Location: Cambridge, MA, United States; on-site

Salary: $70,000–$92,666.67 per year

Company

hirify.global's Getz Lab conducts computational and experimental research on cancer genomes in collaboration with Massachusetts General Hospital and clinical research groups.

What you will do

• Lead data analysis strategies for research projects, especially AI-driven prediction models for multiple myeloma.
• Develop and validate models integrating whole-genome sequencing, single-cell transcriptomics, immune profiling, and clinical data.
• Explore tools for analyzing novel data types and conceive, implement, and test statistical models.
• Analyze experimental data and investigate disease progression, therapeutic response, and resistance mechanisms.
• Present results to computational and non-computational audiences and prepare manuscripts, grants, patents, reports, and presentations.
• Teach and mentor junior team members.

Requirements

• PhD in Bioinformatics, Computer Science, Machine Learning, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline.
• Demonstrated experience developing and validating machine learning models.
• Experience with computational analysis, algorithm development, and statistics.
• Proficiency in at least one modern programming language.
• Ability to work collaboratively with bioinformaticians, wet-lab experimentalists, and clinicians.
• Demonstrated experience conducting rigorous and reproducible research in a fast-paced environment.
• Fast learning ability, analytical thinking, creativity, a hands-on approach, and team-player skills.
• Strong oral and written communication skills.
• Inclination to acquire knowledge of cancer genomics is imperative.

Nice to have

• Experience with a scientific programming environment such as Python, R, or Matlab.
• Prior experience applying AI/ML methods in cancer.
• Knowledge of cancer genomics.

Culture & Benefits

• Interdisciplinary, collaborative, supportive, and respectful research environment.
• Mentoring, peer support, educational opportunities, boot camps, journal clubs, conferences, and skill-building programs.
• Medical, dental, vision, life, and disability insurance.
• 401(k), flexible spending and health savings accounts, paid holidays, winter closure, paid time off, and parental and family care leave.
• Opportunity to work with the Boston-area cancer research ecosystem and publish and disseminate research findings.