Bioinformatician, Translational Cancer Genomics

Comprehensive Cancer Center, The Ohio State University
Job Location: 
Columbus, Ohio

Standard University benefits

Job Description: 

Sameek Roychowdhury’s lab team in the Division of Medical Oncology and the Comprehensive Cancer Center at the Ohio State University focuses application of next generation sequencing for clinical oncology including: 1) molecular characterization of exceptional responders on Phase 1 trials and 2) development of CLIA-certified molecular tests for enrichment of patients to trials, 3) and cancer genomics for discovery of novel drivers and mechanisms of resistance.
The Team utilizes next generation sequencing strategies including exome, RNAseq, and targeted capture sequencing for the development of genomics-driven clinical trials and characterization of resistance. We are studying the development of primary and secondary resistance for targeted therapies against activating mutations in PI3Kinase, FGFR, BRAF, CDK pathways through preclinical models and sequential clinical samples from clinical trials. The Team also runs a CLIA-certified lab that utilizes custom targeted cancer gene sequencing for detection of point mutations, copy number variation, and gene fusions for clinical trial enrollment. The Team runs a study “Precision Cancer Medicine for Advanced Cancer Through High-throughput Sequencing” (OSU-13035) that evaluates individual patients with advanced cancer considering clinical trials, and seeks to identify “driving” mutations that provide molecular eligibility for novel molecularly targeted therapies in development at Ohio State.

Due to the inter-disciplinary professional work environment of clinical tumor sequencing, we seek an applicant with good communication skills and experience working as part of a Team. The selected candidate will be responsible for analysis of next generation sequencing data including exome sequencing, RNA-seq, whole genome sequencing, and other capture-based sequencing data from both cancer and normal tissues. Candidates are expected to carry out NGS data analysis, implementing existing tools and pipelines, providing quality control measures, and eventually developing or improving these pipelines/tools in collaboration with our team. As we are dealing with cutting edge technologies and clinical information, the applicant must utilize robust software that can accommodate frequent feature requests and modifications in a timely fashion.


The ideal candidate should:
1) Hold a masters degree or doctorate in Computer Science or Bioinformatics or Computation Biology, or
2) Have equivalent work experience involving analysis of NGS data (whole exomes, RNAseq, other).
3) Enjoy working on a Team

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