"Assistant Research Professor"

Job Details

University of Colorado Anschutz
Department: Colorado Comprehensive Cancer Center
Job Title: Assistant Research Professor
Position #00809026 – Requisition #:38567

Job Summary:

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 group
• Write and review section of manuscripts and grant applications related to multi-omics plans and methods

Work Location:

Hybrid – this role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in-person meetings.

Why Join Us:

This position is ideal for individuals looking to gain experience and contribute to cancer research leveraging multi-omics data. The Bioinformatics and Biostatistics Shared Resource provides the opportunity to interact with over 250 cancer center members and participate in cutting edge research. We work closely cancer center members that generate multi-omic data and require Bioinformatics expertise, we meet weekly to discuss projects, we have the opportunity to attend numerous scientific presentations across campus, including the weekly Cancer Center Symposium series, and we work closely as a team to develop a shared code base.

We are a close knit group of Bioinformatics analysts who collaborate to support cancer related research on campus. Given the nature of the work, which is all computational, there is flexibility to work remotely. We are situated just 25 minutes from the city of Denver, and are fortunate to be close by to hiking and skiing in the beautiful Rocky Mountains!! Please join us!!

Qualifications:

Minimum Qualifications:

• 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

How to Apply:

For full consideration, please submit the following document(s):

1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position and a description of your approach to project management and quality control.
2. Curriculum vitae / Resume
3. Three professional references including name, address, phone number (mobile number if appropriate), and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: James Costello, james.costello@cuanschutz.edu

Screening of Applications Begins:

Immediately and continues until position is filled. For best consideration, apply by January 9, 2026.

Anticipated Pay Range:

The starting salary range (*or hiring range*) for this position has been established as HIRING RANGE:
$110,000- $124,000