Job Details

Entry Information Sciences Professional (0.50 1.0 FTE)

Entry Information Sciences Professional (0.50 1.0 FTE)
Entry Information Sciences Professional (0.50 - 1.0 FTE) - 36809 University Staff Description
University of Colorado Anschutz Medical Campus
School of Medicine | Department of Biomedical Informatics
Job Title: Entry Information Sciences Professional (0.50 - 1.0 FTE)
Position: #00834257 - Requisition: #36809
Job Summary:
This role represents a pivotal opportunity to directly impact healthcare innovation through cutting-edge machine learning applications. As our scientific professional, you'll be at the forefront of transforming how patient data is linked, analyzed, and utilized across healthcare systems. Your work implementing advanced linkage methods and large language models will directly enhance our research capabilities and contribute to improved patient outcomes. The Department of Biomedical Informatics is central to CU Anschutz's mission of advancing healthcare through technology, and your expertise will be instrumental in advancing the development of essential record linkage methodology.
Key Responsibilities:
- Develop, implement, and test individual and familial linkage methods and systems.
- Develop, implement, and apply large language models in the development of linkage methods and adjudication process.
- Manage and process sensitive patient data to support the development of linkage and adjudication methods.
- Develop other machine learning method as requested.
- Develop scientific papers and reports to disseminate the study results.
- Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis.
- Assist with the design and development of major bioinformatics-related programming projects.
Work Location:
Remote - this role is eligible to work remotely, but the employee must be in the United States.
Why Join Us:
Join the Department of Biomedical Informatics at CU Anschutz Medical Campus and become part of a dynamic team at the cutting edge of healthcare innovation. As a scientific professional with our department, you'll have the opportunity to apply your expertise to real-world healthcare challenges, working with rich patient datasets that drive meaningful improvements in clinical care and health outcomes. Our collaborative environment brings together diverse experts in machine learning, medicine, and data science, providing you with unparalleled opportunities to grow your technical skills while making a tangible impact on healthcare delivery and research.
The CU Anschutz Medical Campus offers an exceptional work environment with state-of-the-art facilities, and competitive benefits. You'll be positioned within Colorado's vibrant healthcare and technology ecosystem, with opportunities for professional development, interdisciplinary collaboration, and career advancement. Join us in harnessing the power of machine learning and artificial intelligence to transform healthcare delivery and improve patient outcomes through innovative informatics solutions.
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, 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.
Knowledge, Skills and Abilities:
- Strong knowledge of basic statistical principles relevant in medical 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.
- Outstanding customer service skills.
- Knowledge of basic human anatomy, physiology medical terminology.
- Ability to interpret and master complex research protocol information.
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: Toan Ong, toan.ong@cuanschutz.edu
Screening of Applications Begins:
Screening begins immediately and continues until May 13th, 2025.
Anticipated Pay Range:
The starting salary range (or hiring range) for this position has been established as $52,103 - $60,961 at 1.0 FTE.
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.
Application Materials Required: Cover Letter, Resume/CV, List of References Job Category
: Research Services Primary Location
: Remote Department: U0001 -- Anschutz Med Campus or Denver - 21925 - SOM-BIOMED Informatics Gen Ops Schedule
: Full-time Posting Date
: May 8, 2025 Unposting Date
: May 14, 2025, 5:59:00 AM Posting Contact Name: Toan Ong Posting Contact Email: toan.ong@cuanschutz.edu Position Number: 00834257
To apply, visit https://cu.taleo.net/careersection/2/jobdetail.ftl?job=36809&lang=en
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