Immunera builds blood tests that use gene sequencing and machine learning to help patients with autoimmune disease. Our technology has been published in Science and covered by The New York Times and STAT News.
We’re hiring a Senior Computational Biologist to uncover the biology our first blood tests will be built on. You’ll analyze immune receptor repertoire, transcriptomic, proteomic, and clinical data from patients with autoimmune diseases, working out what each dataset reveals about disease biology and treatment response and when it is ready to support diagnostic models.
You’ll work closely with laboratory, clinical, and machine learning colleagues. Your work will help the team separate biological signals from technical artifacts, connect molecular findings to disease mechanisms and clinical outcomes, and build a rigorous, reproducible foundation for model development and validation.
What you’ll work on
- Analyze next-generation sequencing data in depth, including immune receptor repertoires and gene expression, through a disease and treatment lens.
- Integrate data across modalities (repertoire, transcriptome, proteome, and clinical) to build a coherent picture of each patient’s immune state. Determine where signals converge or conflict, and what that means biologically.
- Generate and test hypotheses about disease mechanism and treatment response, and translate findings into biologically grounded features and candidate biomarkers for the ML team.
- Work with our contract research organization (CRO) and wet-lab scientists to plan data generation, align on experimental design and quality criteria, troubleshoot technical issues, and use analysis results to shape the next experiments.
- Coordinate versioned clinical and lab datasets and reproducible analysis notebooks, documenting interpretations and their limitations so results can be traced to their source.
How we work
- We start from biology: we understand what the data say about immune function and disease before drawing conclusions from model performance.
- We treat unexpected findings as questions worth investigating, not noise to be removed.
- We make analyses reproducible and document assumptions, limitations, and decisions.
- We work closely across laboratory, clinical, and computational teams.
What you bring
Required
- 5+ years of experience in computational biology, bioinformatics, or quantitative immunology, applied to complex immunology questions in autoimmune disease, oncology or immuno-oncology, infectious disease, or vaccine response, ideally including treatment response.
- Hands-on experience analyzing NGS data (e.g. bulk or single-cell RNA-seq, immune receptor repertoire sequencing) alongside biomarker, assay, or clinical datasets.
- Strong programming skills in Python or R, and experience with cloud data environments, version control, and reproducible workflows.
- Sound statistical judgment: the ability to identify bias, confounding, and error in complex datasets and explain their implications for downstream analysis.
- Clear communication with laboratory scientists, clinicians, and ML colleagues about both data quality and biological interpretation.
Preferred
- MS or PhD in computational biology, bioinformatics, immunology, computer science, or a related field. Strong equivalent industry experience is equally valued.
- Working knowledge of immunology, deep enough to form mechanistic hypotheses and judge whether a result makes biological sense.
- Experience integrating multimodal data or analyzing longitudinal patient cohorts, particularly around therapeutic response.
- Experience collaborating directly with CROs or wet-lab teams on data generation, including contributing to study design, reviewing assay performance and data quality, and translating analytical findings into experimental next steps.
Why Immunera
You’ll join a small team working across immunology, machine learning, and clinical care. Your analyses will shape how we understand autoimmune disease biology, which signals our diagnostics are built on, and how confident we can be in their performance. If you’re drawn to open-ended questions in immune data and enjoy turning them into rigorous, reproducible science, we’d love to talk.
We offer:
- Competitive compensation, equity, and retirement benefits
- Comprehensive medical, dental, and vision coverage
- Unlimited PTO and support for conference attendance to present your work
Base salary range: $160,000 – $200,000, plus equity.
Interested?