Prellis Biologics
Bioinformatician, NGS & Structural Modeling
Prellis Biologics, Berkeley, California, United States, 94709
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This range is provided by Prellis Biologics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $125,000.00/yr - $169,000.00/yr
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 to
cloud 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.
#J-18808-Ljbffr
This range is provided by Prellis Biologics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $125,000.00/yr - $169,000.00/yr
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 to
cloud 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.
#J-18808-Ljbffr