Bioinformatics Analyst

Markey Cancer Center, University of Kentucky
Markey Cancer Center
United StatesKYLexington


As a National Cancer Institute designated cancer center, the Markey Cancer Center (MCC) at the University of Kentucky offers a unique and exciting opportunity to engage with multidisciplinary teams of scientists with diverse backgrounds in cancer cell biology and signaling, genomic instability, epigenetics and metabolism, population-based cancer prevention and control, drug discovery, delivery and translational therapeutics. The Biostatistics and Bioinformatics Shared Resource Facility (BBSRF) is a cancer center-managed shared resource that plays a key collaborative role to provide comprehensive, centralized, and accessible biostatistics and bioinformatics support across the entire spectrum of cancer research being performed at MCC. MCC is nestled in the scenic heart of the Bluegrass region of Kentucky. The city of Lexington is an ideal location to experience the work-life balance that MCC and the University strives to provide to its employees.

The BBSRF is seeking a Bioinformatics Analyst to provide state-of-the-art bioinformatics and statistics support for various types of omics studies at MCC. This position will work in a highly collaborative environment with BBSRF faculty members and MCC investigators on omics study design, high-throughput data analysis, manuscript writing, and grant proposal development. Primary responsibilities include
1) Processing and analyzing next generation sequencing data such as DNAseq, RNAseq, scRNAseq, ATACseq, and metagenomic sequencing
2) Processing and analyzing other high-throughput data such as metabolomic data and NanoString DSP data
3) Performing data mining and analysis based on publicly available genomic data repositories such as Genomic Data Commons and Single Cell Portal


The position requires a master’s degree (or equivalent) in biostatistics, statistics, computer science, bioinformatics or a related field. A candidate is expected to have extensive experience using one of programming languages (e.g., R, Python, Perl or Java) in both Windows and UNIX environment. The candidate is also expected to have excellent teamwork, communication and documentation skills. Experience in cancer-related research and/or in bioinformatics pipeline development is preferred, though not required.

Start date

As soon as possible

How to Apply

To apply, go to


Chi Wang