The research labs of Drs. James Costello, Scott Cramer, Joshua Black, and Heide Ford in the Department of Pharmacology are seeking a Bioinformatics Analyst with a proven track record of leading the design and analysis of omics data in the context of cancer. This position will be a joint hire between the aforementioned research labs and work across a diverse set of research areas in breast, prostate, and bladder cancers. The ideal candidate will have a desire to not only design and perform bioinformatics analysis, but to gain a deeper insight into challenges into basic mechanisms of cancer development, treatment and metastasis. This position will also offer the opportunity to mentor graduate students and postdoctoral researchers.
Responsibilities:
-Design the analysis plan for projects involving -omics data.
-Develop and run Bioinformatics pipelines.
-Work collaboratively with graduate students and postdoctoral researchers to address research questions.
-Review and edit relevant sections of grants and manuscripts.
-Participate in lab meetings and seminars.
-Communicate with other bioinformaticists to exchange expertise and provide support
Competencies:
-Ability to communicate effectively, both in writing and orally.
-Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.
-Ability to manage multiple Bioinformatics projects
-Ability to develop new analysis pipelines and the associated code to execute the pipelines
-Ability to manage code through a versioning system such as GitHub.
Minimum Qualifications:
-A PhD or equivalent experience (MS with 2+ years of experience) in Bioinformatics/Biostatistics/Computational Biology or related fields
-Demonstrated track record of the analysis of -omic datasets from raw data files to fully analyzed results.
-Experience programming and attributable source code in R, Python, or related languages that are widely used in bioinformatics
-Applicants must meet minimum qualifications at the time of hire.
Preferred Qualifications:
-A track record in cancer research
-A track record of source code in a version control system (e.g., GitHub)
-A specialist understanding in a highly relevant field in cancer research, such as immunology, developmental biology, cell signaling, or a specific cancer type (e.g., prostate, breast)
-Demonstrated ability to train researchers in bioinformatics skills and techniques
-A track record of contributions to proposals for research funding
-Interest in developing new analytical workflows for emerging technologies (e.g., multiplexed ion beam imaging or single cell technologies)
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