Bioinformaticist
Listed on 2026-02-01
-
Healthcare
Data Scientist, Clinical Research -
Research/Development
Data Scientist, Clinical Research
Overview
Bioinformaticist
MED-CORE-INFD
Full Time
87581
Job SummaryWe are currently seeking a Bioinformatician to join our exceptional, motivated, and highly collaborative team bridging the Division of Infectious Diseases and Pulmonary and Critical Care Medicine. This position focuses on analyzing metagenomic and human transcriptional data from human clinical samples using high dimensional statistics. In addition, this position involves study design and leading research projects from analysis to manuscript writing and presentation.
Core Responsibilities:
- Perform analyses of single cell RNA sequencing data
- Design and implement bioinformatics and statistical analyses of next-generation sequencing data representing microbiome and host transcriptome
- Analyze features of the antimicrobial resistome and virulome
- Carry out phylogenetic analyses
- Assemble microbial genomes from metagenomic data
- Apply statistical techniques designed for assessment of high dimensional genomic data including microbiome data
- Implement computational and statistical approaches for performing time series analyses of metagenomic data
- Perform differential gene expression analyses on RNAseq data
- Utilize unsupervised methods to detect latent subgroups/clusters in high dimensional datasets
- Carry out analyses of proteomics, metabolomics and mass cytometry data
- Teach bioinformatics techniques to other laboratory members and students
- Contribute to research study design including leading design of bioinformatics methods
- Write manuscripts, contribute to grant writing, and present research findings at national meetings
- Utilize large language models to enhance machine learning-based infectious disease diagnostic studies.
Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union.
The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
The salary range for this position is $119,900 - $210,000 (Annual Rate).
To learn more about the benefits of working at UCSF, including total compensation, please visit: (Use the "Apply for this Job" box below)..html
Department DescriptionThe Department of Medicine is the largest department in the School of Medicine mission of the Department is research, education, patient care and public service. The Department has more than 450 full-time faculty at four sites - Parnassus, Mount Zion, Veteran's Administration Medical Center, and San Francisco General Hospital - and approximately 60 divisions. Central Administration at the Parnassus/Laurel Heights sites is responsible for directing the administrative functions of the Department via its sites and divisions, including the provision of research administration services for its faculty.
The Division of Infectious Diseases consists of 110 faculty, fellows, and staff whose work is grounded in deep commitment the highest standards of clinical care and teaching, as well as research leading to new approaches to the prevention, diagnosis, and treatment of infectious diseases. The Division of Infectious Diseases employs and trains leaders in academic, superb clinical researcher scientists and basic scientists, and outstanding clinicians.
Our faculty are leading experts in adult infectious diseases.
- Bachelor's degree in biological science, computational / programming, or related area and 5+ years of experience in a related field and / or equivalent combination of education and experience / training
- A minimum of 4 years experience with NGS/RNAseq data analysis
- In-depth knowledge of bioinformatics methods, applications programming, and data structures
- In-depth knowledge of bioinformatics programming design, modification and implementation
- Advanced understanding of relational databases,…
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