Information Sciences Professional

Job Summary:

The Cole Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a computational research analyst with research experience and a background in computational biology, applied biostatistics, human genomics, or related fields.

This position will be responsible for conducting large-scale statistical genetic analysis on both simulated and real-world data in hundreds of thousands of individuals on a local server. This position must have some research experience, a basic understanding of biology with at least one genetics course and be proficient in R and bash.

This position will lead a project that uses genetic heritability as a tool to improve phenotype pre-processing decisions. Future projects in the lab will be of similar nature. While training in genetics is provided by the Cole Lab, we want this person to come in with a strong foundation in statistics (including experience with simulating data) and coding.

We are a group of hybrid (in-person and remote) researchers expected to be on campus at least part-time with the potential for flexibility as needed and in agreement with the PI.

Key Responsibilities:

• Simulate phenotypes with varying distributions, outliers, and confounding that have differing levels of heritability (some of this can be taught, but the initial project relies on the ability to execute this task).
• Write custom scripts to access and analyze data. This includes but is not limited to statistical genetic analysis (GWAS and heritability) using genetic software and bash commands on local and cloud servers.
• Develop reproducible code and complex analysis and visualization pipelines with good documentation.
• Assist with the design and development of additional statistical genetics and bioinformatics-related projects in the lab.
• Contribute to mentorship and training, developing educational materials and guiding lab members on statistical genetics and computational methods.
• Prepare and present scientific findings at lab meetings, seminars, and national/international conferences.
• Write and contribute to scientific abstracts, manuscripts, and grant proposals.

Work Location:

Hybrid - this role is eligible for a hybrid schedule of 2-3 days per week on campus and as needed for in-person meetings.

Why Join Us:

The Department of Biomedical Informatics (DBMI) at the University of Colorado Anschutz Medical Campus offers a dynamic and collaborative research environment at the intersection of data science, biomedical research, and healthcare innovation. Our department brings together experts in bioinformatics, machine learning, genetics and genomics, and clinical research to tackle complex biological and medical challenges using cutting-edge computational approaches.

As part of CU Anschutz, a leading academic medical center, the Cole Lab within DBMI provides access to large-scale biobank data, state-of-the-art computational resources, and strong interdisciplinary collaborations with top researchers in genetics, epidemiology, and translational medicine.

Joining our team means working in an intellectually stimulating environment with opportunities for career growth, mentorship, and high-impact research. CU Anschutz offers a vibrant research and educational community and an outstanding quality of life with easy access to Denver and the Rocky Mountains

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:

• Medical: Multiple plan options
• Dental: Multiple plan options
• Additional Insurance: Disability, Life, Vision
• Retirement 401(a) Plan: Employer contributes 10% of your gross pay
• Paid Time Off: Accruals over the year
• Vacation Days: 22/year (maximum accrual 352 hours)
• Sick Days: 15/year (unlimited maximum accrual)
• Holiday Days: 10/year
• Tuition Benefit: Employees have access to this benefit on all CU campuses
• ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Genetics, Biology, or related field.
  
  
  
  • A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
  
  
  
  
• One (1) year of computational research analyses experience.

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

• Master's degree in Biostatistics, Computational Biology, Genetics, Biology, or related field.
• Two (2) years of computational research experience.
• One (1) year of experience analyzing data using bash on a high-performance server or cluster using bash and command line tools.
• One (1) year of experience analyzing human -omics data, preferably genomics.
• One (1) year of experience working with UK Biobank, AllofUs, and/or other large-scale cohorts or biobanks.
• Proficient in R.

Knowledge, Skills, and Abilities:

• Advanced knowledge of statistical principles, analytical concepts, and methods relevant in medical research.
• Ability to analyze and solve complex problems and apply quantitative analytical approaches.
• Demonstrated fluency in R and Bash and willingness to learn new languages as necessary.
• 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.

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 to five professional references, including name, address, phone number (mobile number if appropriate), and email address.

Questions should be directed to: DBMI.HR, dbmi.hr@cuanschutz.edu

Screening of Applications Begins:

Immediately and continues until May 15^th, 2025.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as $56,700 - $72,123.

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 may be eligible for overtime compensation, depending on the level.

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: http://www.cu.edu/node/153125

Equal Employment Opportunity Statement:

The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing non-discrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply.

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@cuanschutz.edu.

Background Check Statement:

The University of Colorado Anschutz Medical Campus 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:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.