Part-time Research Services Information Sciences Entry Professional (0.45 FTE) bei University of Colorado Anschutz Medical Campus

Job Summary:

We are looking for a coding enthusiast to join the JRaviLab as a Part-time Information Sciences Professional. In our group, we develop/apply computational approaches to analyze and visualize multiscale biological data to study microbial phenotypes and diseases, including genomes, protein sequence-structural features, transcriptomes, and pathway memberships.

This position is expected to contribute most of the code that goes into our analytical pipelines (that utilize high-performance clusters and cloud infrastructure) and production-ready webservers. They are expected to maintain high standards for code documentation, clarity, efficiency, and maintainability. In addition to maintaining these standards in their own code, they should set high expectations for other lab members and share their expertise to improve the code that all members of the lab are writing.

Key Responsibilities:

• Develop new computational approaches to analyze and integrate large collections of biological data (including genomics, transcriptomics, pathway/process, drug data).

• Build machine learning models to associate microbial genotypes to phenotypes.

• Create gene expression signatures for all infectious diseases and discern disease-specific signatures.

• Maintain interpretable, reproducible, and well-documented codebases on GitHub that can be converted into R/Py packages and can serve as the backend of user-friendly web-apps.

• Work with PI on generating preliminary data for grant proposals; and with graduate students and postdocs for the dissemination of research via publications and presentations.

Work Location:

Remote – this role is eligible to work remotely, but the employee must be in the United States.

Why Join Us:

What You Will Get:

• Work on data science / machine learning applied to both pathogen and host research in infectious diseases, supported by ample computational resources.

• Mentor me, trainees, and students to inculcate high standards of writing and maintaining code.

• Publish papers on creative tools and pipelines, publish/maintain open-source software projects, and present in scientific meetings/conferences.

• Several opportunities to collaborate with fantastic computational, experimental, and clinical researchers at DBMI and beyond.

• A vibrant, supportive environment: A bunch of really smart and fun colleagues at DBMI; Workspace in a contemporary open-office layout in the magnificent new Health Science building with a fabulous view of the Rocky Mountains, easy access to cafeterias; Beautiful campus; Supportive department environment and informational science professional community (including slack) for professional development; Competitive salary commensurate with experience.

• Mentoring & support: In addition to being your scientific mentor, my primary responsibility is to help your personal and professional growth by facilitating all of the above. You will always find in me an audience to discuss opportunities/challenges and a strong advocate for your interests. You will also have the option to form a formal mentoring committee.

Additionally, you will also have the following if you are interested in pursuing a research career:

• Freedom to work on your best ideas broadly aligned with the lab’s vision.

• Several opportunities to collaborate with other smart computational and experimental researchers at CU & elsewhere.

• Resources to develop your own research program and your technical skills as you plan to move to the next stage of your career.

• Opportunities to mentor students, participate in peer-review and grant-writing, and based on your interests, participate in teaching, education, and outreach activities.

Qualifications:

Minimum Qualifications:

• Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, 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.

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

• Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field.

• Experience analyzing data using high-performance computing.

• Experience analyzing data using high-performance computing and handling large datasets in a Unix/Linux environment (and Bash scripting).

• Programming experience in R and/or Python and version control (Git).

Knowledge, Skills, and Abilities:

• Knowledge of basic statistical principles relevant to biomedical research.

• Ability to analyze and solve complex problems and apply quantitative analytical approaches.

• Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary.

• Familiarity with statistical analytical concepts and methods

• Ability to communicate effectively, both in writing and orally.

• Ability to give/take constructive feedback.

• Ability to establish and maintain effective working relationships with employees at all levels throughout the department and institution.

• Willingness to collaborate openly within and outside the research group.

• Familiarity with bioinformatics databases and tools.

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: Janani Ravi, [email protected]

Screening of Applications Begins:

Immediately and continues until 10/26/2025.

Anticipated Pay Range:

The starting salary range (or hiring range) for this part-time (0.45 FTE) position has been established as $23,450 – $27,400.

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

Equal Employment Opportunity Statement:

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, including protected veterans and individuals with disabilities.

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 [email protected]​.

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.