Imaging Data Science Research Manager

University of Colorado Anschutz Medical Campus

Department: Pediatrics, Section of Child Neurology

Job Title: Imaging Data Science Research Manager

Position #: 00828239 - Requisition #: 35179

Job Summary:

The Imaging Data Science Research Manager will be vital to the success of the CytoLab Data Analysis program. They will supervise a team that focuses on performing high-level imaging analysis on translational research projects across the Department of Pediatrics and the Anschutz Medical Campus. They will consult and present on a variety of projects both internal to the University and externally to collaborators and societies worldwide. They will have the opportunity to develop tools, workflows, and resources that can be published and shared with the larger data analysis community.

Key Responsibilities:

• Performing advanced quantitative high dimensional cytometry analysis focusing on imaging and mass cytometry and integration with other single-cell techniques, including spectral cytometry, on complex translational research projects.
• Developing new tools for advancing workflows and analysis projects
• Execute high-level analysis and associated figure generation for grants and publications.
• Advise direct FTE reports on their project components.
• Align work by reports to further the Program's mission in supporting Investigators in analysis needs.
• Anticipate and troubleshoot issues with Program and Scientific Directors.
• Train Investigators directly and at workshops designed to customize analysis approaches for projects of varying scopes.
• Present on work being done in CytoLab program both internally and externally.

Work Location:

Onsite - this role is expected to work onsite and is located in Aurora, CO.

Why Join Us:

The Department of Pediatrics was ranked No. 7 in the nation for "Best Medical Schools - Pediatrics" in U.S. News & World Report's 2022 rankings. The Section of Child Neurology is nationally recognized for providing outstanding consultation, clinical care, and surgery for children and adolescents with neurological disorders. U.S. News & World Report ranked Child Neurology as one of the top 10 programs in the nation. As the largest medical center in the western region providing such broad expertise, The Department of Pediatrics, Section of Neurology is the referral center for children and adolescents with neurological disorders for much of the western U.S.

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.

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. In addition, the Anschutz Campus has also been recognized as an Age-Friendly University. The University of Colorado is committed to diversity and equality in education and employment.

Qualifications:

Minimum Qualifications:

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Biology, Microbiology, Data Science, Computer Science or related field.
  • Substitution: A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year-for-year basis.
• Five (5) years of professional-level research experience in imaging / high dimensional cytometry and analysis (e..g, imaging and microscopy, high dimensional mass cytometry).

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

• Master's degree in Bioinformatics, Biostatistics, Computational Biology, Biology, Microbiology, Data Science, Computer Science or related field.
• Prior supervisory or management experience in a data management or bioinformatics setting.
• Prior experience leading high dimensional cytometry and imaging training and teaching.
• 5+ years of translational research lab management experience.
• Experience developing their own data analysis tools and applying them to workflows.
• Experience communicating high-level analysis work illustrated through multiple publications and presentations, including first-author publications and invited talks.
• Experience performing analysis on projects generating and integrating multiple data types and sharing data using cloud tools and repositories (e.g., Cytobank, FlowRepository, OpenScienceFramework).
• Experience depositing and maintaining code on Github and/or developing R/Shiny web apps (as on CytoLab.org).
• Experience designing experiments to collect and analyze data from cyclic immunostaining, imaging mass cytometry, and standard confocal imaging datasets, including tissue microarrays.
• Experience aligning annotated images across different detection modalities.

Knowledge, Skills, and Abilities:

• Ability and confidence to effectively function independently, be a self-starter, and be a team player within a collaborative organization.
• Other required skills include creativity, excellent communication (written and oral) skills, strong math and quantitative skills, strong computational analysis, and visual presentation skills.
• Must have successfully trained and led project team members in previous positions.
• Ability to effectively present analysis stories to internal and external organizations.
• Expertise in data science and machine learning methods for imaging cytometry utilized by CytoLab, including whole-slide image segmentation (e.g. QuPath), cyclic image alignment, dimensionality reduction, clustering, and cell type annotation using Marker Enrichment Modeling (MEM).
• Advanced knowledge of both experimental and analytical aspects of high dimensional cytometry.
• Ability to set goals and motivate team members to achieve results.
• Knowledge of supervisory techniques, management principles, and organizational leadership.

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 addre

Questions should be directed to: Jonathan Irish at JONATHAN.IRISH@CUANSCHUTZ.EDU

Screening of Applications Begins:

Immediately and continues until October 19, 2024.

Anticipated Pay Range:

The hiring range for this position has been established as $74,799 to $95,145.

The above 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 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.