Job Summary:

The University of Colorado Comprehensive Cancer Center (UCCC) is seeking an PhD-level or equivalently experienced Bioinformatics researcher with a proven track record of 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 part 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:

• 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

• Attend the weekly BBSR meeting and discuss research projects

• Work collaboratively with wet lab cancer researchers, computational scientists and biostatisticians.

• Work on projects that generate whole exome/genome sequencing and RNAseq

• Develop and benchmark Bioinformatics pipelines and optimize programs for common usage amongst the BBSR team

Why Join Us:

The University of Colorado offers a comprehensive benefits package that includes health insurance, life insurance, retirement plans, tuition benefits, ECO pass, paid time off – vacation, sick, and holidays and more. To see what benefits are available, please visit:

Diversity and Equity:

The University of Colorado Denver is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities, persons within the LGBTQ+ community and all veterans. The University of Colorado is committed to diversity and equality in education and employment.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

• A PhD or equivalent in Bioinformatics/Computational Biology/Pharmacology/Cancer Biology or related fields.
• 5 years+ experience programming and attributable source code in R, Python, or related languages that are widely used in Bioinformatics.
• 5 years+ experience in linux programming environment and reproducible pipelines (e.g., nf-core, singularity).

Preferred Qualifications

• Current CU Faculty.
• Experience with whole exome, whole genome, ChIPSeq, CUT&RUN, ATASeq, single cell RNAseq, and/or RNAseq data. The ideal candidate will have a proven track record in more than one omic data type.
• A publication record in cancer research in peer reviewed journals.
• Specialist in a highly relevant field in cancer research, such as immunology, developmental biology, cell signaling, or a specific cancer type (e.g., prostate, breast).

Knowledge, Skills and Abilities:

• 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.
• 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).
• Ability to work collaboratively on multiple projects simultaneously.
• Excellent time management and organizational skills.

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

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 5 days after posting.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as HIRING RANGE:

$100,000 to $120,000

The above salary range (or hiring range) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.

Total Compensation Calculator:

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.

Background Check Statement:

The University of Colorado Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.

Vaccination Statement:

The University of Colorado has a requirement for COVID-19 vaccinations and full completion thereof by 9/1/21 or upon start date. Information regarding this requirement, and exemptions can be found at:

Unit-Specific Exemptions:

• Anschutz Campus – Accommodations may be granted for medical or religious reasons.

The University of Colorado seeks individuals with demonstrated commitment to creating an inclusive learning and working environment. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds.