Post Doc Fellow- Health Informatics and Data Science

Job Summary:

The Health Informatics and Data Science lab in the Division of General Internal Medicine at the University of Colorado School of Medicine is seeking to fill a one to two year-long Postdoctoral Fellow position focused on informatics and data science applications to medicine. This is an opportunity to contribute to the development of informatics and data science innovations that will advance the science of medical evidence, processes of care and health outcomes for patients and their significant others.

Primary responsibilities include any or all of the following: 1) participating in the design and build of computer applications (including SMARTonFHIR applications) on topics such as shared decision making, risk score calculators and other high value software and applications, 2) applying large language models to gain information from clinical EHR notes and scientific publications to inform healthcare providers and patients, 3) building and testing clinical decision support tools, and 4) contributing to distributed research network infrastructure and observational data science research.

There will be ample opportunities to support other emerging lines of research in the lab. Opportunities for manuscript preparation, conference submissions, and funding applications will be available. The Postdoctoral Fellow will collaborate closely with Drs. Lisa Schilling, Andrey Soares, and Bill Baumgartner. The position is hybrid (in-person/remote), and the applicant must be available to work on the University of Colorado Anschutz Medical Campus several days a week.

Please be advised that this position is not eligible now or in the future for visa sponsorship.    

Key Responsibilities:

• Analyze multiple datasets, including structured and non-structured EHR data, HER and    other data
• Investigate open-source LLMs
• Work with our Office of Information Technology to assist with set up secure data environments
• Coordinate with research assistants working on projects
• Support IRB applications for new projects
• Prepare manuscripts for publication
• Design and Develop SMART on FHIR apps
• Collaborate with cross-functional teams
• Use and test various API Endpoints
• Contribute and maintain github, etc.

Work Location:

Hybrid – This role is eligible for a hybrid schedule of 3-4 days per week on campus in Aurora, CO and as needed for in-person meetings.

  Why Join Us:

​​The Division of General Internal Medicine (GIM), established at the University of Colorado in 1977, was one of the first GIM divisions established within the United States. Building on a rich history and tradition, our GIM Division has undergone significant change and evolution to maintain our goal of being a national leader in patient care, medical education and health services research.

We take our three-part mission of patient care, medical education, and research​ seriously. Each of our affiliated institutions has its own unique medical care programs. These programs, when taken together, provide a wide breadth and depth of clinical experiences that allows our trainees to experience virtually all aspects of inpatient and ambulatory medical care.

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: 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:  

Applicants must meet minimum qualifications at the time of hire.  

• Doctorate degree in a relevant field (computer science, information systems, information science, biostatistics, bioinformatics)
• Record of first-author publications in peer-reviewed journals
• Experience with health-related applications. 

Preferred Qualifications:

• Experience with observational research and the OHDSI/OMOP ecosystem
• Experience with HL7 FHIR standard
• Experience tuning, applying, and evaluating large language models for information extraction, summarization, and other relevant tasks in the biomedical/clinical domain
• Strong software engineering background with demonstrated experience supporting reproducible science software development best practices such as regression testing, continuous integration, containerization, etc. 

Knowledge, Skills and Abilities:

• Knowledge of HIPAA and IRB regulations and ability to maintain patient/client confidentiality
• Excellent communication and organizational skills
• Proficient in Python, R, JavaScript languages
• Proficient in BigQuery, PostgreSQL databases

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.    Five 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: Patricia Colella, GIM Recruitment Specialist, [email protected]  

Screening of Applications Begins:

Immediately and continues until February 15, 2024 or a competitive applicant pool has been established. Candidates are encouraged to apply right away for consideration.  

Anticipated Pay Range:

The starting salary range (or hiring range ) for this position has been established as $56,484 - $68,604, in alignment with current NIH salary range dependent upon years of postdoctoral experience.

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

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 . 

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.