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Computing Sciences Researcher II, Biomedical Engineering

University of Arizona
life insurance, vision insurance, sick time
United States, Arizona, Tucson
Oct 04, 2024
Computing Sciences Researcher II, Biomedical Engineering
Posting Number req20753
Department Biomedical Engineering
Department Website Link https://bme.engineering.arizona.edu/
Location Main Campus
Address 1230 N. Cherry Avenue, Tucson, AZ 85721 USA
Position Highlights

The Biomedical Engineering department in the College of Engineering is seeking motivated applicants to fill a Computer Sciences Researcher II position in the laboratory of Dr. Nun-kuei Chen.

The successful applicant will work with providing neurological data with cognitive assessment, MRI, and carotid ultrasound to identify key neurological signatures of individual differences in cognitive aging.

We are seeking a well-rounded, motivated and enthusiastic individual with experience in computer software and languages. This individual should be detailed-oriented, conscientious, and have the ability to communicate in a clear, concise manner orally and in writing.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.

Duties & Responsibilities
  • Under the supervision of Dr. Chen, conduct highly specialized research to identify key neurological signatures of individual differences in cognitive aging.
  • Participate in creating and implementing MRI data processing pipelines with suitable computer software and language (e.g., Python, R, Matlab, among others) to process large-scale and multi-site MRI data.
  • Assist Dr. Chen with overseeing MRI data harmonization software procedures and quality control protocols for multi-site studies.
  • Assist with managing the CAN data server, specifically the XNAT server uniquely designed for large-scale and multi-site MRI studies, so that MRI data annotation and pre-processing are automatically performed in a rigorous and robust manner as required by NIH.
  • Aid with addressing issues and challenges in MRI data processing using creative, innovative, and effective ways.
  • Collaborate and communicate with scientists and investigators in the PAN study to help design computer software procedures to effectively answer proposed scientific questions.
  • Document the data processing pipelines according to NIH standards.
  • Support administering the workflow of MRI data processing.
  • Contribute to publishing the developed methods (e.g., through participating in journal paper publication and sharing software in github).
  • Participate with applying the knowledge in computer sciences, MRI data processing, and data management to improve the NIH-funded study.
  • Assist with supervision of student workers and analyzing MRI data.
  • Training entry level staff on using the equipment and analyzing data.

Knowledge, Skills, and Abilities:

  • Strong interpersonal skills in working with both technical and non-technical personnel at different levels in the organization.
  • Expertise in human MRI studies.
  • Knowledge of research data management, and/or research data lifecycle.
  • Ability to effectively communicate verbally and in writing.
  • Ability to work independently and as part of a dynamic, interdisciplinary team.
Minimum Qualifications
  • Bachelor's degree or equivalent advanced learning attained through professional level experience required.
  • Minimum of 3 years of relevant work experience, or equivalent combination of education and work experience.
Preferred Qualifications

  • Bachelor's or Master's degree in Biomedical Engineering, Electrical Engineering, Physics, or a related discipline.
  • Experience working with MRI data and analytics.
  • Experience with programming languages such as Python and R, C++, and Java.
  • Previous experience working with relational databases and creating SQL queries.


FLSA Exempt
Full Time/Part Time Full Time
Number of Hours Worked per Week 40
Job FTE 1.0
Work Calendar Fiscal
Job Category Research
Benefits Eligible Yes - Full Benefits
Rate of Pay $75,540 - $98,201
Compensation Type salary at 1.0 full-time equivalency (FTE)
Grade 10
Compensation Guidance The Rate of Pay Field represents the University of Arizona's good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, key skills, and internal equity.

The Grade Range Minimum, Midpoint, and Maximum Fields listed below represent a full range of career compensation growth over time in this position and grade. Each unit typically sets starting pay between minimum and midpoint upon hire. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator.
Grade Range Minimum $75540
Grade Range Midpoint $98201
Grade Range Maximum $120863
Career Stream and Level PC2
Job Family Research & Data Analysis
Job Function Research
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Number of Vacancies 1
Target Hire Date 11/4/2024
Expected End Date
Contact Information for Candidates Dr. Nan-kuei Chen

Associate Professor

nkchen@arizona.edu
Open Date 10/4/2024
Open Until Filled Yes
Documents Needed to Apply Resume and Cover Letter
Special Instructions to Applicant Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.

Letter of Interest: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).

Diversity Statement At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As a Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.
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Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.
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