Bioinformatician, NGS & Structural Modeling (Contract)

Department: Computational Biology / Antibody Engineering
Location: Berkeley, CA (Hybrid or Remote options available)

About Prellis Biologics

Prellis Biologics integrates human biology with machine learning to redefine how antibody therapeutics are discovered. Using proprietary 3D-printed human lymph node organoids, we rapidly generate diverse human antibody repertoires for discovery and optimization.

To accelerate this mission, we are expanding our Computational Biology group with a bioinformatician who can bridge next-generation sequencing (NGS) and structural analysis—turning complex data into actionable insight for our antibody discovery pipeline.

Position Summary

We are seeking a Bioinformatician with expertise across NGS and structural bioinformatics to support the discovery and characterization of novel antibody candidates.
This role will combine repertoire-level sequencing analysis (bulk and single-cell) with computational modeling of antibody structures and complexes using both publicly available and proprietary tools.

A central focus of this position is data communication—building clear, intuitive analyses and visualizations that connect sequence, structure, and experimental results for scientists and leadership across Prellis.

Key Responsibilities

• Design and maintain bioinformatics pipelines for antibody repertoire and single-cell sequencing, including QC, alignment, clonotype assignment, and VH/VL pairing.
• Perform structural modeling and comparative analysis of antibody frameworks, CDR loops, and antigen interfaces to support engineering and developability assessment.
• Integrate sequence- and structure-level data to generate mechanistic insights into binding, folding, and diversity.
• Develop visualizations and dashboards that clearly communicate data relationships and experimental outcomes.
• Collaborate closely with wet-lab and computational scientists to guide candidate selection and design hypotheses.
• Ensure reproducibility and traceability of analyses through version-controlled, documented workflows.
• Contribute to continuous improvement of internal data infrastructure and cross-functional reporting tools.

Qualifications

• Ph.D. or M.S. in Bioinformatics, Computational Biology, Biophysics, or related field, with 2+ years (for M.S.) or equivalent experience in NGS and protein structure analysis.
• Hands-on experience with NGS data analysis, ideally including repertoire or immune profiling workflows.
• Demonstrated ability to perform structural modeling, comparative analysis, and visualization of proteins or complexes.
• Strong programming skills in Python and/or R, including use of scientific libraries (Biopython, pandas, matplotlib, Seaborn, etc.).
• Familiarity with Linux environments, version control (Git), and workflow automation or containerization.
• Excellent communication and visualization skills—able to distill complex results into concise, actionable summaries.
• Collaborative mindset and comfort working across experimental and computational teams.

Preferred Experience

• Prior experience in antibody discovery, repertoire analysis, or structural immunology.
• Familiarity with developability and biophysical risk assessment.
• Experience designing interactive dashboards or visual reports for data-driven decision-making.
• Exposure tocloud or GPU-based computing environments.

What You Can Expect From Us

At Prellis, you’ll work at the interface of biology, computation, and machine learning—connecting data from sequence to structure to function. You’ll collaborate with top scientists to accelerate the discovery of human antibody therapeutics that can make a real impact.

Compensation and Contract Details

• Contract position, with potential for renewal or full-time conversion based on performance.
• Competitive hourly rate commensurate with experience.
• Flexible schedule and hybrid/remote work options.
• Access to advanced computational infrastructure and licensed software resources

Prellis does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Prellis Bio is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.