The University of Colorado Comprehensive Cancer Center (UCCC) is seeking a PhD-level or equivalently experienced Bioinformatics researcher with a proven track record of analysis, interpretation and presentation of –omic related datasets, which can additionally include algorithm, pipeline, or database development. The ideal candidate will have developed a method to analyze or “make sense” of cancer multi-omic data. This position will be the manager of the Bioinformatics and Biostatistics Shared Resource (BBSR) through the UCCC, which is a group of highly experienced Bioinformatics analysts that work across an array of -omics technologies. The ideal candidate will be able to effectively collaborate and organize their time to work on multiple projects. This position will also offer the opportunity to develop independence of research through individual and collaborative grant funding.
Key Responsibilities:
- The job is roughly split: 60% analysis/projects, 20% project/analyst management, 20% service and administration
- Develop collaborative, multi-omic research projects with cancer center members
- Develop data analysis pipelines for multi-omic data, including writing code, using version control (ie. GitHub), and generating results to be presented back to collaborators
Work collaboratively with wet lab cancer researchers, computational scientists and biostatisticians
- Manage a team of 4 bioinformatics analysts, providing project assignment and oversight to ensure progress
Run the weekly BBSR meeting to discuss the status of on-going research projects and present new projects for discussion
- Mentor bioinformatics analysts on the BBSR team
- Write progress reports and manage billing and grant support for groups
- Write and review sections of manuscripts and grant applications related to multi-omics plans and methods
- A PhD or equivalent in Bioinformatics/ Computational Biology/Pharmacology/Cancer Biology or related fields
- At least 3 years managing 2 or more analysts, inclusive of work assignment, oversight of work progress, and management responsibilities or at least 5 years of collaborating and leading bioinformatics projects
Preferred Qualifications:
- Experience programming and attributable source code in R, Python, or related languages that are widely used in Bioinformatics
- A publication record in cancer research in peer reviewed journals.
- 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)
- Experience analyzing data from multiple –omics datatypes
Knowledge, Skills and Abilities:
- A demonstrated ability to work collaboratively on multiple projects simultaneously
- An active GitHub repository and experience with working in a software development team
- A published example of a developed algorithm, pipeline, or database with application to multi-omic or image data. Ideally an R package in CRAN or Bioconductor.
- Demonstrated ability to train researchers in bioinformatics skills and techniques
- Experience with project management, including software for tracking projects.
- 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)
- Excellent time management and organizational skills.
- Experience researching cancer-related questions
All applications must be submitted through CU Jobs at: cu.taleo.net/careersection/2/jobdetail.ftl?job=38567&lang=en