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BACKGROUND

We are looking for a highly motivated candidate specializing in Bioinformatics to join the Computational Cancer Genomics lab of Dr. Rendong Yang. Our laboratory is interested in the integrative analysis of large-scale, multi-dimensional genomic data to understand the initiation and progression of diseases. The research projects involve in the development of highly accurate and sensitive computational methods for analyzing large-scale genomic data, especially in the area of detecting and analyzing genetic variations and somatic mutations. Example projects span from technique-driven research that aims developing algorithms for a wide range of applications (e.g. Yang et al., Bioinformatics 2010; Yang et al., BMC Genomics 2014; Yang et al., Genome Medicine 2015), to hypothesis-driven investigation of specific biological problems where the main goal is the discovery and advancement of biological knowledge (e.g. Asangani et al., Nature 2014; Henzler et al., Nature Communications 2016; Katerndahl et al., Nature Immunology 2017).

RESPONSIBILITIES

The goal of this position will be to lead multiple research projects, develop novel computational algorithm(s), perform data analysis, collaborate with biologists and physicians, and present/publish the results in scientific conferences/journals. The main focus is to explore the functional consequences of somatic alterations in cancer patients, to identify driver alterations, and to understand the genetic mechanisms of cancer progression and drug resistance by integrating multi-dimensional data from large-scale cancer studies such as The Cancer Genome Atlas (TCGA).

REQUIREMENTS

A Ph.D. in Bioinformatics/Computational Biology/Computer Science/Statistics/Physics/Biology or a related field is required along with experience in Linux, proficiency in at least one programming languages (e.g. Python, R, Perl, Java, C/C++, Matlab) and experiences with high-throughput sequencing data (WGS, WES, RNA-Seq, ChIP-Seq) analysis. The candidate must demonstrate effective verbal and written communication skills.

PREFERENCES

Strong programming background and experiences with cancer genomics data (such as TCGA)

TERMS

Full time

LOCALE

Austin, MN

COMPENSATION

Competitive

HOW TO APPLY

Send a cover letter, CV and list of references to Dr. Rendong Yang (yang4414[at]umn.edu)

DEADLINE

Open until filled

POLICY

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

Discussion forums: Opportunity: Postdoctoral Position at The Hormel Institute @ University of Minnesota -- Austin, MN (US)

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