Bioinformatic Specialist – Lim Lab

Location: In person at Princeton University, Princeton, New Jersey, United States

Annual hiring pay range: $110,480–$138,100.

Company

hirify.global supports biomedical research conducted in collaboration with Princeton University and the Lim Laboratory.

What you will do

• Analyze large-scale human datasets to study relationships between reproductive history, immune phenotypes, and disease outcomes.
• Develop reproducible and well-documented computational workflows for human data analysis and additional cohorts.
• Analyze and integrate single-cell RNA-seq, scATAC-seq, spatial transcriptomics, epigenomic, microbiome, and other multi-omic datasets.
• Apply statistical and computational methods to identify biologically meaningful patterns across complex datasets.
• Collaborate with the PI, experimental scientists, and trainees to design analytical strategies, interpret results, and extend workflows.
• Contribute to research projects, manuscripts, scientific presentations, and the communication of computational findings.

Requirements

• Bachelor’s or master’s degree in bioinformatics, computational biology, biostatistics, data science, or a related quantitative field.
• Strong programming skills in R and/or Python.
• Experience analyzing large-scale genomic, transcriptomic, or human datasets.
• Strong quantitative reasoning and familiarity with statistical approaches for complex biological or human data.
• Ability to develop reproducible workflows, work with large datasets, and collaborate with experimental scientists.
• Ability to work in person at Princeton University; the role is 20 hours per week.

Nice to have

• Experience with single-cell RNA-seq, scATAC-seq, spatial transcriptomics, epigenomic analysis, microbiome analysis, or large human cohort datasets.
• Interest in immunology, reproductive biology, stem cell biology, host–microbiome interactions, and women’s and children’s health.

Culture & Benefits

• Collaborative research environment within Princeton University and the broader computational and biomedical research community.
• Access to experimental, genomic, imaging, computational, and other research resources.
• Opportunities to contribute intellectually to research direction, publications, and presentations.
• Competitive pay, health benefits, retirement plans, paid time off, recognition, and wellness programs.