Payroll Title:
CMPTL & DATA SCI RSH SPEC 4 RP Department:
CLINICAL TRANSLA RESEARCH INST Hiring Pay Scale
$125,370 - $135,000 / Year Worksite:
East Campus (La Jolla) Appointment Type:
Career Appointment Percent:
100% Union:
RP Contract Total Openings:
1 Work Schedule:
Days, 8-Hour Shifts, Monday-Friday

#140573 Computational Biologist - ACTRI - Hybrid
Filing Deadline: Wed 8/5/2026
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Reassignment Applicants : Eligible Reassignment clients should contact their Disability Counselor for assistance.

This position will work a hybrid schedule which includes a combination of working both onsite in La Jolla and remote.

DESCRIPTION

The Altman Clinical and Translational Research Institute (ACTRI) is an NIH-funded Clinical and Translational Science Award (CTSA) institution that provides the infrastructure to support high-quality and innovative translational research. ACTRI's vision is to translate scientificdiscoveries into improved health by delivering education, training, and infrastructure for clinical research in the San Diego area and beyond. The Translational Research Hub (TRH) fosters translational research community collaborations by educating clinicians, researchers, and trainees in biospecimen acquisition, processing, biobanking, and multi-omics technologies. TRH provides study design consultations for investigators, biobanking services, genomics-optimized sample processing, data management and bioinformatics support. TRH offers services in data analysis and biological interpretation as well as vouchers to support early-stage projects.

The Computational Biologist provides advanced computational genomics, bioinformatics support and data management support to the Translational Research Hub. Applies advanced computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, to perform highly complex research, technology and software development which involve in-depth evaluation of variable factors impacting medium to large projects of broad scope and complexities. Designs, develops, and optimizes components / tools for major HPC / data science / CI projects. Resolves complex research and technology development and integration issues. Gives technical presentations to associated research and technology groups and management. Evaluates new hardware and software technologies for advancing complex HPC, data science, CI projects. Assists in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science, CI projects. Acts as a project manager and may lead a team of research and technical staff.

This position will focus on the analysis of whole genome, exome, transcriptome and epigenome datasets at the ACTRI Center for Computational Biology & Bioinformatics. The incumbent will collaborate with UCSD faculty and investigators by performing RNA-seq (bulk, single-cell, spatial), ChIP-seq, ATAC-seq, and methylation analyses at the Center for Computational Biology & Bioinformatics. The incumbent is responsible for managing projects and performing analysis of next generation sequencing datasets, biological interpretation of analysis results, interfacing with faculty and investigators, and developing and implementing data analysis methods using cloud computing and high performance computing. The incumbent will additionally be responsible for all data management activities of the Translational Research Hub, supporting the ACTRI Biobank.

MINIMUM QUALIFICATIONS

• Nine years of related experience, education/training, OR a Bachelor's degree in related area plus five years of related experience/training.
• Advanced knowledge of HPC / data science / CI.
• Highly advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, implementation and deployment of HPC or data science or CI applications and tools of large-scale scope.
• Demonstrated ability to regularly, effectively communicate with unit-level management.
• Demonstrated ability to initiate research proposals and acquire funding.
• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
• In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles.
• Self-motivated and works independently and as part of a team.
• Advanced experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.
• In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills.
• In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs.
• Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.

PREFERRED QUALIFICATIONS

• Master's degree in Computer/Computational/Data Science/Bioinformatics, or Domain Sciences with computer/computational/data specialization.
• Demonstrated ability to foster collaboration, build partnerships, and communicate effectively across diverse stakeholders.
• Working knowledge of key issues and concepts in translational research and translational science.

SPECIAL CONDITIONS

• Employment is subject to a criminal background check.
• Must be able to work various hours and locations based on business needs. Occasional evenings and weekends may be required.

Pay Transparency Act

Annual Full Pay Range: Unclassified - No data available (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: Unclassified - No data available

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

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