Senior Scientist, Therapeutics & Translational Bioinformatics (mRNA)

Location: Cambridge, Massachusetts, United States; 70% in-office and 30% flexible work model

Salary: $145,900–$234,200 per year, with potential discretionary bonus, incentive compensation, or equity award

Company

hirify.global develops mRNA-based therapeutics and vaccines through its mRNA technology platform.

What you will do

• Lead computational strategies, data requirements, and analysis plans for therapeutic and translational programs from discovery through early clinical development.
• Perform integrated multi-omics, bulk and single-cell transcriptomic, and TCR/BCR repertoire analyses across human, preclinical, and in vitro datasets.
• Apply machine-learning, deep-learning, and advanced statistical methods to biomarker discovery, patient stratification, response and safety prediction, and therapeutic target prioritization.
• Integrate immune-assay data, including flow cytometry, cytokine and chemokine measurements, serology, ELISpot, and intracellular cytokine staining.
• Translate computational findings into biological hypotheses and recommendations for target selection, modality choice, mechanism-of-action studies, biomarkers, patient selection, and study design.
• Develop reproducible AI-enabled analytical algorithms and pipelines, communicate findings to scientific and clinical stakeholders, and mentor junior computational scientists.

Requirements

• PhD in Computational Immunology, Bioinformatics, Biomedical Engineering, or a related quantitative discipline, plus at least two years of relevant postdoctoral or industry experience.
• Strong foundation in computational biology and immunology, with experience supporting therapeutic development, early drug discovery, and translational decisions.
• Expertise in bulk and single-cell transcriptomics, multi-omics integration, and single-cell TCR or BCR repertoire analysis.
• Experience with machine learning, advanced statistical models, immune-assay analysis, and biological interpretation of clinical or preclinical datasets.
• Strong programming skills in R and/or Python, Linux experience, computational biology workflows, and AI-enabled tools for code and pipeline development.
• Experience with cloud and data science technologies such as AWS, GitHub or GitLab, Jupyter, Nextflow, and Docker, plus the ability to lead complex cross-functional projects.

Culture & Benefits

• In-person collaboration model designed to support innovation, teamwork, and direct mentorship.
• Healthcare and voluntary benefit programs, including fitness, mindfulness, and mental health support.
• Family planning support covering fertility, adoption, and surrogacy.
• Paid time off including vacation, volunteer days, sabbatical, global recharge days, and a year-end shutdown.
• Savings and investment programs, along with location-specific benefits.