University of California, Davis, School of Medicine, Department of Medical Microbiology and Immunology, Davis, California
Position Description:
Immediate NIH and DOD-funded Research Associate positions are available in the newly established Bhatnagar Laboratory at the University of California, Davis, School of Medicine, Department of Medical Microbiology and Immunology. Bhatnagar laboratory has a broad interest in the identification of targetable epigenetic readers, writers, and erasers for which we use large-scale and focused loss-of-function shRNA and CRISPR/Cas9 genetic screens. We routinely use small molecule inhibitors, RNAi, immunotherapies, and nanoparticles to generate effective cancer therapies. For additional information about the project, contact directly Dr. Bhatnagar (
[email protected];
sanchitabhatnagarlab.org).
To support our current ongoing activities, we are seeking a dynamic and highly motivated individual who will be responsible, as a member of the team, for implementing computational analyses, data management as well as providing computational and analysis support for a range of activities. Expertise will be applied to answer key biological questions exploring molecular abnormalities (genetic and epigenetic) which contribute to normal biological processes and pathogenesis of disease.
The Department of Medical Microbiology and Immunology is home to multiple nationally recognized investigators working on Microbial biology, Microbial Pathogenesis, Infectious diseases, HIV, Rett Syndrome and Cancer.
The candidate is expected to support and participate in integrative analyses of large datasets generated from clinical and functional genomics data from in-house experiments and/or available public repositories, by developing and applying computational pipelines mainly focused on next generation sequencing data and other large-scale datasets. For additional information about the project, contact Dr. Bhatnagar (
[email protected];
sanchitabhatnagarlab.org).
There will be opportunities for training to complement current skills, and we envision numerous collaborations with other outstanding computational scientists at UC Davis. The applicant would join a thriving and highly interactive research team including cancer biologists, hematologists, and computational biologists.
The University of California, Davis is beautiful College town, ideally situated near world famous wine growing region and Lake Tahoe.
The University of California, Davis offers an exciting collaborative working environment, the possibility to interact with interdisciplinary research groups, and HIGHLY competitive salary and benefits.
Qualifications:
- A PhD or Masters in bioinformatics, computer science, computational biology, or related field
- Demonstrated expertise in bioinformatics, scientific computing, and genomic data analysis using computational and statistical tools
- A minimum of two years’ experience with large-scale computational and statistical analyses, and analysis of gene expression and epigenomics data using R and/or Python or other languages
Required skills:
- Advanced proficiency with Unix/Linux environment, and R/Bioconductor for data analysis
- Proficiency with Python, Perl, or another scripting language
- Experience with open-source software, tools, and databases for analyzing next-generation sequencing data (RNA-seq, ChIP-seq, DNA variation, epigenetics, microbiome, and metagenomics)
- Excellent written and oral communication skills are essential for expected interdisciplinary and collaborative projects and contributions to grant and manuscript preparation
- Proficiency with graphics/visualization software for genomics
- Proficiency in Unix/Linux computing environment, data management and organization, and general programming knowledge and ability to automate tasks using scripting languages such as bash, perl, python, R, or Java
To Apply:
Sanchita Bhatnagar, Ph.D.
Associate Professor
Medical Microbiology and Immunology,
University of California Davis Cancer Center
MIND Institute
University of California Davis Medical School
The selected applicant will be required to complete a background check and health screening prior to their first day of employment per university policy.
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