Bioinformatics Postdoctoral Researcher-Krogan Lab (UCSF)

Location
San Francisco, California
Salary
Commensurate with experience
Posted
March 22 2021
Position Type
Full Time
Organization Type
Academia
Job Type
Postdoc

The lab of Professor Nevan Krogan at the University of California, San Francisco is seeking a dynamic, independent, and creative bioinformatic postdoctoral researcher to join his team. You will work on the develop of novel computational methods to integrate diverse high-throughput datasets produced in-house as well as publicly available datasets across a range of projects (infectious diseases, cancer, neuroscience).

The Krogan lab has pioneered a systems biology approach which combines proteomics and functional genomics to unravel mechanisms of disease and discover novel putative therapeutic targets in the areas of infectious diseases, cancer and neurobiology. As a result, you will have the opportunity to a build a diverse range of expertise, skill sets from working with cutting-edge technology, and be a partner in the Krogan lab’s extensive collaborative network of leading researchers at prominent institutions across multiple fields and disciplines. The synergistic teamwork of the Krogan lab consistently publishes their findings in high-impact journals.

You will apply the appropriate algorithms, computational techniques, and statistical methodologies to analyze and visualize data primarily generated through high-throughput experiments. In-house data types are primarily global proteomics, PTM-proteomics, protein-protein interaction via AP-MS or APEX-MS. You will use and adapt in-house data analysis pipelines, written mostly in the R programming language, to perform all steps of data analysis including data quality checks, normalization, statistical tests, correction for multiple testing, as well as further downstream analyses such as functional or kinase enrichment analysis, and integrating results from varied experiments. Together with our computational team, you work with and improve upon existing data analysis pipelines and be involved in various collaborative projects within academic as well as with industry. The candidate will also collaborate with various wet lab researchers to aid in experimental and statistical design of projects, and in the biological interpretation and integration of the resulting complex data sets.

Requirements

● PhD in the fields of Bioinformatics, Biostatistics, Computational Biology or similar.

● Strong computational skills and knowledge in programming, statistics, biology.

● Experience with statistical analysis and presentation of results using the R programming language, or another language (Python, Matlab, etc.) and willingness to learn R.

● Understanding of large-scale proteomics data and placing it in a biological context, as well as experience working with other -omics data such as transcriptomics, lipidomics, and metabolomics.

● Familiarity with biological networks, their analysis and display.

● Application and validation of machine learning methods to complex data.

● Knowledge of biological network analysis, and experience with visualization tools such as Cytoscape.

● Prior experience with Unix/Linux environments.

● Experience creating packages in R.

● Team player who can thrive working on large collaborative projects.

Apply by sending the following to Kirsten Obernier, Associate Science Director to Professor Nevan Krogan (Kirsten.obernier@ucsf.edu).

• Current CV

• Cover Letter

• Two Reference Contacts

We are looking forward to hearing from you!

Apply for Bioinformatics Postdoctoral Researcher-Krogan Lab (UCSF)

Already uploaded your resume? Sign in to apply instantly

Apply

Upload from your computer

Or import from cloud storage

Your Resume must be a .doc, .pdf, .docx, .rtf, and no bigger than 1Mb


Upload from your computer

Or import from cloud storage

Your Supplementary Documents must be a .doc, .pdf, .docx, .txt, .rtf, and no bigger than 1Mb


4000 characters left

Marketing Communication

We'd love to send you information about Jobs and Services from Science Careers by email.

All emails will contain a link in the footer to enable you to unsubscribe at any time.


When you apply for a job we will send your application to the named recruiter, who may contact you. By applying for a job listed on Science Careers you agree to our terms and conditions and privacy policy. You should never be required to provide bank account details. If you are, please email us.

Similar jobs

Similar jobs