Research Data Analyst 1

UCLA Los Angeles, CA

Company

UCLA

Location

Los Angeles, CA

Type

Full Time

Job Description

The Section of Oral/Head & Neck Oncology Research at UCLA School of Dentistry, led by Professor David T.W. Wong, seeks a motivated Research Data Analyst I to assist in a translational research program focused on developing novel liquid biopsy biomarkers for early cancer detection. The incumbent will support ongoing research projects by assisting with the processing, organization, and analysis of next-generation sequencing (NGS) and multi-omics data, including cfDNA, RNA-seq, and related datasets. The position will also provide general lab and computational support under close supervision of the Principal Investigator and senior researchers. Salary & Compensation • UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits. Qualifications • Exposure to analysis of next-generation sequencing (NGS) or multi-omics datasets, with willingness to learn and apply new analytical methods. (Required) • Interest in developing skills in AI/ML applications for biological or biomedical data. (Required) • Familiarity with concepts in liquid biopsy, cancer biology, immunology, or related biomedical fields. (Required) • Basic knowledge of, or experience using, version control (e.g., Git), containerized workflows (e.g., Docker), or cloud-based computational tools. (Required) • Basic programming experience in one or more of the following: Python, R, SQL, or Bash; familiarity with Linux environment a plus. (Required) • Interest in learning bioinformatics and data analysis methods, including exposure to AI/ML tools. (Required) • Introductory knowledge in WGS, BS-seq, scRNA-seq, ATAC-seq, RNA-seq, CITE-seq.. (Required) • Ability to learn to integrate, analyze, and visualize biological datasets under supervision. (Required) • Strong organizational skills and attention to detail, with the ability to follow established research protocols. (Required) • Excellent written and verbal communication skills. (Required) • Ability to work both independently on assigned tasks and collaboratively as part of a multidisciplinary team. (Required) • Commitment to following research integrity standards, reproducibility practices, and laboratory safety protocols. (Required) Education, Licenses, Certifications & Personal Affiliations • Bachelor's Degree Bioinformatics, Computational Biology, Molecular/Cell Biology, or related field. (Required) • Master's Degree Bioinformatics, Computational Biology, Molecular/Cell Biology, or related field. (Preferred) Special Conditions for Employment • Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation. • Live Scan Background Check: A Live Scan background check must be completed prior to the start of employment. • Age Requirement: Candidate(s) must be 18 years or older to be eligible to be hired. • COVID and Flu Vaccinations: The position is subject to providing evidence of inoculation. • CANRA: The position is designated as a mandatory reporter under CANRA. The employee must sign the "Statement Acknowledging Requirement to Report Child Abuse". Schedule 8:00 a.m. to 5:00 p.m. Union/Policy Covered RX-Research Support Professionals Complete Position Description https://universityofcalifornia.marketpayjobs.com/ShowJob.aspx?EntityID=38&JDName=Research%20Data%20Analyst%201%20(41208722) Apply Campus Requisition #: 8852 UC Payroll Title: RSCH DATA ANL 1 Department: DENTISTRY Appointment Type: 2 - Staff: Career Anticipated Hiring Pay Scale: $31.51-$33 hourly • Full Salary Range: USD $31.51/Hr. - USD $62.64/Hr. Onsite | Remote | Hybrid Type: Fully Onsite Department Location: 10833 Le Conte Ave Dentistry, School of Full or Part Time: Full Time
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Date Posted

10/16/2025

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