Parallel Bio · 3 hours ago
Computational Biologist
San Francisco, CA
Full-time
Onsite
Mid, Senior LevelParallel Bio is leveraging the human immune system to unlock safer, more effective drugs. They are seeking a Computational Biologist to accelerate scientific insight from population-scale immune organoid data, focusing on modeling, analysis, and data quality to support drug discovery.
BiotechnologyLife SciencePharmaceuticalTherapeutics
Responsibilities
Modeling & Methods Development Invent and adapt modeling approaches for immune organoid data - donor-aware inference, hierarchical models, robustness to batch and assay drift, uncertainty quantification in order to answer biological questions that matter. Learn and evaluate shared representations across assays, donors, and perturbations to enable transfer to new experimental regimes
Immune Profiling & Multi-Omics Analysis Own analysis for immune phenotyping across flow cytometry, CyTOF, single-cell RNA-seq, CITE-seq, and multiplex functional readouts. Characterize response signatures, quantify donor-to-donor variability and batch effects, and identify what changes under perturbation. Integrate transcriptomic, proteomic, and functional data to support target identification and biomarker discovery
Experimental Design & Scientific Partnership Guide experiments with quantitative thinking: propose designs and follow-ups that disambiguate hypotheses and reduce uncertainty efficiently. Partner with scientists to translate biological questions into computational workflows. Establish statistical best practices for exploratory vs. confirmatory analysis, multiple testing, and sensitivity analyses
Data Quality & Infrastructure Own the integrity of analytical datasets. Develop data quality standards, validation checks, and consistent annotation practices across experiments, donors, and timepoints. Build prototypes that scale socially: reusable analyses, gold-standard reference outputs, and clear definitions so others can trust and extend your work. Partner with Software/Data Engineering to transition validated pipelines into production
Communication & Visualization Generate clear, publication-quality visualizations. Explain assumptions, limitations, and implications to scientists, engineers, and leadership. Document methods and contribute to reports, presentations, and manuscripts
Qualification
Required
Strong quantitative foundation (statistics, applied math, CS, engineering, or equivalent) and a track record of solving ambiguous modeling and data analysis problems
Experience analyzing high-dimensional biological data (single-cell, cytometry, proteomics, functional assays, or similar)
Immunology knowledge through formal training or hands-on research - you understand what biological questions matter and what the data represents
Proficiency in Python and/or R for rapid, readable prototyping, with version control as standard practice
Ability to translate across disciplines and drive work to completion in a fast-moving environment
Preferred
Bayesian/hierarchical modeling, causal inference, mechanistic-statistical hybrids, or ML approaches for biological data
Experience with organoid systems or primary human tissue models
Experience partnering with engineers to productionize data products (data contracts, validation checks, reference datasets)
Track record training and stress-testing models on large biological datasets, with attention to generalization, robustness to distribution shift, and reusable representations
Familiarity with cloud/cluster computing for scaling analyses
Company
Parallel Bio
Parallel Bio develops tools that help in the discovery and development of immunotherapies.
Founded in 2021
11-50 employees
H1B Sponsorship
Parallel Bio has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Early StageTotal Funding
$25.62MKey Investors
AIX VenturesRefactor
2025-06-11Series A· $21M
2022-12-20Seed· $4.3M
2021-08-30Pre Seed· $0.33M
Leadership Team
Robert DiFazio
Co-Founder & CEO
Juliana Hilliard
Co-Founder & CSO
Recent News
Precedence Research
2025-11-03
Company data provided by crunchbase