Postdoctoral Research Fellow - Multiomics (AI)

Location: Boston, Massachusetts, United States; 100% onsite

Salary: $72,000–$76,385 per year

Company

hirify.global conducts cancer research, provides patient care, and collaborates with Harvard Medical School-affiliated hospitals.

What you will do

• Develop computational pipelines integrating transcriptomics, chromatin profiling, genomics, spatial transcriptomics, and single-cell datasets.
• Apply statistical, machine learning, and network-based methods to high-dimensional biological data.
• Collaborate with experimental and clinical teams to interpret results and translate findings into actionable insights.
• Design and optimize predictive models of drug response, including digital twin simulations.
• Visualize, document, quality-control, and present reproducible computational workflows and research results.
• Contribute to manuscripts, grant applications, and dissemination of findings.

Requirements

• PhD in Bioinformatics, Computational Biology, Systems Biology, Statistics, Computer Science, or a related field.
• Strong programming skills in Python, R, or an equivalent language, with experience in data analysis, statistics, and machine learning.
• Experience with multiomic datasets, including RNA-seq, ATAC-seq, ChIP-seq, spatial transcriptomics, and single-cell data.
• Familiarity with data integration frameworks, predictive modeling, and network analysis.
• Strong analytical, problem-solving, communication, and teamwork skills.

Nice to have

• Experience with cloud computing, Snakemake, or HPC environments.
• Experience in translational research or working with patient-derived datasets.
• Familiarity with chromatin biology or epigenetics.
• Experience in biomarker discovery or predictive modeling in oncology.

Culture & Benefits

• Inclusive, diverse, and equitable research and patient-care environment.
• Multidisciplinary collaboration across computational, experimental, and clinical groups.
• Opportunities to contribute to cancer research and clinically oriented discoveries.
• Employment is full time and performed onsite.