Post-Doctoral Research Fellow

Job Summary:

The Department of Biostatistics and Informatics (BIOS) of the Colorado School of Public Health (CSPH) has an opening for a full-time postdoctoral research fellow position. The successful candidate for this position will work with the Medical Image Phenotyping Lab (MIP) and will report to Dr. Antonio R. Porras, PhD.

The selected candidate will benefit from and contribute to multiple existing collaborations between BIOS, MIP and the top-ranked hospitals in the Anschutz Medical Campus: Children’s Hospital Colorado and University of Colorado Hospital. Specifically, the selected candidate will work on projects funded by the National Institutes of Health (NIH) that aim to develop image computing and machine learning methods, together with translational tools, to understand and identify both normal and pathological pediatric development to improve patient care.

The new postdoctoral researcher will be responsible for the design and development of novel medical image computing and machine/deep learning methods. Their scope may include image segmentation, image registration, disease screening and diagnosis, discovery of new image-based biomarkers, quantitative image-based phenotyping, anatomical modeling and/or predictive analysis. In addition, the selected candidate will collaborate with other faculty, students and physicians in the clinical translation of the developed methods.

Key Responsibilities:

• Development of medical image computing and machine/deep learning methods
• Submission of manuscripts to scientific journals and conferences
• Coordination with research assistants and students
• Coordination with clinical collaborators
• Contribution to the coordination of the research lab

Why Join Us:

The Colorado School of Public Health is a collaborative endeavor involving the University of Colorado Anschutz Medical Campus (CU Anschutz), Colorado State University (CSU), and the University of Northern Colorado (UNC). The Colorado School of Public Health is the first and only accredited school of public health in the Rocky Mountain Region, attracting top tier faculty and students from across the country, and providing vital contributions towards ensuring our region’s health and wellbeing. Collaboratively formed in 2008 by CU Denver, CSU and UNC, the Colorado School of Public Health provides training, innovative research and community service to actively address public health issues including chronic disease, access to healthcare, environmental threats, emerging infectious diseases, and costly injuries.

The University of Colorado Anschutz Medical Campus is the only comprehensive academic health sciences center in Colorado, the largest academic health center in the Rocky Mountain region and one of the newest education, research and patient care facilities in the world. Currently home to 25,000 employees, more than 5,000 degree-seeking students and two nationally recognized hospitals that handle 1.7 million patient visits each year, CU Anschutz trains the health sciences workforce of the future, carries out a broad range of research, and cares for the state’s children, adults, and veterans. CU Anschutz features schools of medicine, pharmacy, dental medicine and public health, a college of nursing and a graduate school.

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:  

Applicants must meet minimum qualifications at the time of hire.  

• PhD degree in computer science, engineering, computational biology, applied mathematics, physics or related fields that provide the required knowledge, skills and abilities for this position.
• Track record of publications as first and/or last author in scientific journals in the fields of medical image computing and/or deep learning, or equivalent peer-reviewed manuscripts in the proceedings of top tier conferences such as MICCAI, ISBI, EMBC or CVPR. 

Preferred Qualifications:

• Experience creating and publishing deep learning methods.
• Evidence of independent research through publications.
• Experience collaborating in multi-disciplinary teams.
• Experience with clinical translation of computational methods. 

Knowledge, Skills, and Abilities:

•    Good organizational skills across individual projects and managing own workload.
•    Excellent problem-solving skills
•    Ability to work both independently and as a part of a team.
•    Excellent written and verbal communication skills.
•    Strong computational background and skills.
•    Proficiency in programming using Python and/or C++.
•    Experience creating machine/deep learning methods applied to image computing.
•    Positive attitude and ability to work with computational and biomedical investigators.
•    Ability to contribute to the growth and development of MIP and BIOS. 

..How to Apply:

For full consideration, please submit the following document(s):

1.    A cover letter describing relevant job experiences related to this position (max. 1 page)

2.    Curriculum vitae / Resume

3.    List of three references including name, address, phone number, and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers .

Questions should be directed to: Antonio R. Porras ([email protected])  

Screening of Applications Begins:

Immediately and will continue until position is filled. For best consideration, apply by 3/01/2024. 

Anticipated Pay Range:

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

$61,008

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 .