Research Data Analyst 3 (5274C), Molecular & Cell Biology - #85533

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Departmental Overview

The Department of Molecular and Cell Biology (MCB) at the University of California, Berkeley is a leading hub for research and teaching focused on the molecular and cellular mechanisms that drive life. MCB supports a highly interdisciplinary environment, spanning biochemistry, genetics, genomics, bioinformatics, cell and developmental biology, immunology, neurobiology, and more.

Research within MCB leverages diverse model systems including microbes, plants, and vertebrates to answer fundamental biological questions. The department is organized into five core divisions: Biochemistry and Molecular Biology; Cell and Developmental Biology; Genetics, Genomics and Development; Molecular Therapeutics; and Immunology and Molecular Medicine.

The Rokhsar Lab, within MCB, operates at the intersection of genetics, genomics, and computational biology. The lab focuses on genome assembly and annotation, development of computational tools for sequencing data analysis, and evolutionary genomics across a wide range of plant and animal systems.

Position Summary

This position is responsible for developing and applying custom computational analyses of genome-wide datasets, with special focus on complex plant genomes. These analyses include statistical and quantitative genetical studies, and comparative genomics including large-scale intra-specific (pan-genome) and inter-specific evolutionary studies. The position works closely with the Center for Advances Bioenergy and Bioproducts Innovation (CABBI), whose ultimate goal is to develop/improve feedstock for bioenergy and bioproduct applications.

Application Review Date

The First Review Date for this job is: May 19, 2026

Responsibilities

• Execute genomic research projects - based on input from supervisor, plan and design custom computational pipelines that address complex plantgenome questions for the Center for Advanced Bioenergy and Bioproducts Innovation (CABBI)
• Develop and apply custom computational analyses of genomewide datasets - build, tune, and run pipelines for wholegenome shotgun assembly of highly repetitive plant genomes, pangenome alignment, and largescale intraspecific (pangenome) and interspecific evolutionary studies
• Conduct statistical and quantitativegenetics investigations - perform GWAS, QTL mapping, populationgenetics analyses, and other quantitative methods to evaluate feedstock traits, response to selection, and polyploidy effects
• Execute comparativegenomics and evolutionary analyses - apply externally developed tools (with metric development) to quantify synteny, homeologous segments, and evolutionary relationships across species
• Prepare, clean, and integrate raw sequencing, phenotypic, and environmental data - carry out qualitycontrol, preprocessing, and dataintegration workflows; summarize key trends and recommend analytical approaches
• Create and maintain data analysis systems - implement flat-file data systems and versioncontrolled code repositories that organize, characterize, and automate reporting of genomic results; document provenance and metadata in line with FAIR principles
• Review emerging software and incorporate novel methods - evaluate new tools for genome and pangenome analysis, assess impacts on existing pipelines, and modify or combine methods to meet specific CABBI research goals
• Stay current on technical advances in storage, documentation, and dissemination - monitor and recommend bestpractice solutions for genomic data stewardship, ensuring longterm accessibility for bioenergyfeedstock projects
• Lead and mentor junior analysts, graduate students, and support staff - provide technical guidance, review analytical outputs, and oversee routine analyses while maintaining quality and consistency

Required Qualifications

• Thorough knowledge of concepts and methods in computational genomics.
• Thorough skills associated with statistical analysis and systems programming.
• Thorough skills in analysis and consultation.
• Skills to communicate complex information in a clear and concise manner, both verbally and in writing.
• Research skills at a level to evaluate alternative solutions and develop recommendations.
• Eight (8) years of experience in computational genomics and genome data analysis
• Bachelor's degree in a related area and/or equivalent experience/training.

Salary & Benefits

For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.

Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.

• The budgeted annual salary or hourly range that the University reasonably expects to pay for this position is $91,500.00 - $120,000.00. This is an exempt, monthly-paid position.

• This is a full-time (40 hours/week), Career appointment eligible for full benefits.

How to Apply

• To apply, please submit your resume and cover letter.

Other Information

• This position is covered by the collective bargaining agreement between the UAW (United Auto Workers) and the University of California Regents for RPSP or SSAP.

• This is not a visa opportunity. This position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
• This is a hybrid position, that is eligible for up to 50% remote work. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.

Misconduct

SB 791 and AB 810 Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.

"Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:

UC Sexual Violence and Sexual Harassment Policy

UC Anti-Discrimination Policy

Abusive Conduct in the Workplace

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.