Information Science Professional (Entry – Senior Level)

Job Summary:

We are looking for a talented and motivated individual to join the Krishnan Lab as an Information Science Professional to work on research projects in the areas of computational biology and biomedical data science. The projects entail developing machine learning and AI-based methods and tools that take advantage of diverse and massive public data collections to gain nuanced insights about the genetic, molecular, and cellular basis of complex diseases.

This role is a great opportunity for gaining research skills in undertaking intricate computational projects that combine big data, high-performance computing, and algorithms. Further, each project is highly interdisciplinary, spanning biology, computer science, statistics, applied mathematics, and engineering.

Key Responsibilities:

• Develop and implement complex integrative analyses pipelines and data summarization/visualization techniques for diverse datasets.
• Perform rigorous data management that comprehensively and reproducibly tracks data sources, versions, analysis stages, and distribution stages.
• Write well-documented, reproducible, version-controlled workflow scripts and project codebases.
• Contribute to manuscripts/papers and give talks at national/international conferences.
• Publish open-source GitHub repositories, share datasets using open repositories like Zenodo, and contribute to the development of web tools.
• Assist and train new team members.

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:

By joining us, you will get to: i) Work on big data / machine learning / data science applied to important problems in biomedicine, supported by ample computational resources; ii) Contribute to papers on creative methods and tools, contribute to publishing/maintaining open-source software projects, and presenting in scientific meetings/conferences; iii) Be a part of a vibrant, supportive group and collaborate with a bunch of really smart and fun colleagues; and iv) From Arjun, mentoring and support for multifaceted professional and personal growth, an audience to discuss opportunities/challenges, and a strong advocate for your interests.

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, holidays and more. To see what benefits are available, please visit: https://www.cu.edu/employee-services/benefits-wellness .

Diversity and Equity:

The University of Colorado Anschutz Medical Campus 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:

Entry Level: 

• 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.

Intermediate Level:

• 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.
• One (1) year of data management and bioinformatic analyses experience.

Senior Level: 

• 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.
• Two (2) years of data management and bioinformatic analyses experience.

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.
• Up to three (3) years of experience in analyzing high-dimensional data using high-performance computing and version control.

Knowledge, Skills, and Abilities:

• Advanced knowledge of basic statistical principles relevant in 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 establish and maintain effective working relationships with employees at all levels throughout the institution.
• Demonstrated commitment and leadership ability to advance diversity and inclusion.

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: Michelle Fiandra, [email protected]  

Screening of Applications Begins:

Immediately and continues until March 3rd , 2024.

Anticipated Pay Range:

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

Entry Level: $50,112 - $63,742

Intermediate Level: $54,534 - $69,367

Senior Level: $58,955 - $74,991

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

ADA Statement:

The University will provide reasonable accommodation 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 .