Senior Bioinformatics Scientist (AI)

Location: On-site in Boston, MA, United States

Salary: $160,000–$190,000 per year

Company

hirify.global is an AI-native TechBio and clinical-stage biotech company developing a foundation model of cell signaling for regenerative medicine, drug effect prediction, and disease modeling.

What you will do

• Develop, adapt, and benchmark bioinformatics methods for single-cell, spatial, and bulk transcriptomics data.
• Build and maintain reproducible RNA-seq analysis pipelines covering quality control, normalization, integration, clustering, annotation, and differential expression.
• Analyze large-scale single-cell and spatial transcriptomics data from raw output through biological interpretation and spatial visualization.
• Partner with wet-lab scientists to bring novel multi-omic assays and sequencing modalities into production.
• Collaborate with wet-lab and computational scientists to design experiments and interpret results.
• Provide technical guidance and mentorship across bioinformatics, machine learning, and engineering teams, including code and method reviews.

Requirements

• PhD in Bioinformatics, Genomics, Computational Biology, Computer Science, or a related field; equivalent industry experience is also considered.
• 3+ years of experience developing, adapting, and benchmarking methods and building reproducible pipelines for large-scale single-cell or spatial transcriptomic data.
• Hands-on experience analyzing single-cell transcriptomics data.
• Strong Python and/or R programming skills.
• Experience with pipeline managers such as Nextflow or Snakemake, containers, and version control.
• Experience applying state-of-the-art large language models to bioinformatics projects, along with strong documentation and organizational skills.

Nice to have

• Experience with spatial transcriptomics analysis and visualization.
• Experience developing or improving automated cell type annotation methods.
• Background in technology development, novel molecular biology, or sequencing techniques.
• Domain knowledge in developmental biology or stem cell research.
• Mentoring experience or prior work in a startup and fast-paced interdisciplinary environment.

Culture & Benefits

• Work in a fast-paced, interdisciplinary environment spanning wet-lab science, software engineering, and machine learning.
• Contribute to a cell-replacement therapy platform from the ground up.
• Collaborate with a world-class team of AI, bioinformatics, and biomedical researchers.
• Inclusive workplace committed to diversity and equal opportunity.