Statistician/Associate Researcher

20436BR

Bureau of Child Research

Position Overview

The Center for the Advancement of Research on Eating Behaviors (CARE) Laboratory has an opening for 1-2 Associate Researchers who will serve as a Statistician and Researcher on one or more research projects, serving as an expert in the area of quantitative methods. The start date is negotiable with an anticipated start date in 2021 or 2022. The Associate Researcher will work closely with Dr. Kelsie Forbush, PI, and a team of local and international researchers to serve as a leader in the design of research, creation of algorithms and designs, study protocols, data system development or other data collecting and gathering methodologies. The Associate Researcher may serve as a co-PI, PI, or Co-I on internal and extramural grants and will collaborate with the PI and other study members to write manuscripts, abstracts, and other publications of research findings. The Associate Researcher will also supervise students and staff who are conducting quantitative analyses and assist the PI in upholding high ethical standards, regulatory compliance, and confidentiality of sensitive data and open-science reporting practices.

Our lab has numerous ongoing clinical trials that include a mobile-health intervention of Guided Self-Help Cognitive-Behavior Therapy (CBT-gsh) as a part of an ongoing research study and an NIH-funded clinical trial designed to develop a mobile-health app that uses machine learning to predict likelihood of relapse. We also also conducting DoD-funded research designed to develop a new screening tool for eating disorders and related mental health conditions in two nationally representative samples of veterans. The CARE Laboratory also has several large existing datasets, including (but not limited to) a longitudinal dataset of over 30,000 patients with eating disorders in collaboration with Recovery Record, Inc. and an ongoing five-wave longitudinal study of over 350 community-recruited adults with eating disorders. Finally, our center has close relationships with numerous local and national eating-disorder treatment centers, including Children’s Mercy – Kansas City and Eating Recovery Center, making this an ideal setting for researchers seeking to establish an independent clinical-research career. This position will require relocation to Lawrence, Kansas.

Job Description

40% Statistical Analysis:

• Perform statistical analyses, as needed, using R, SAS, or Mplus.
• Provide oversight on statistical analyses conducted by other members of the laboratory.
• Oversee data management and study flow through the protocols using RedCap.
• Train laboratory members in the use of statistical methods and databases.
• Develop and implement machine-learning algorithms for prediction of recovery in an NIH-funded study.
• Develop R code necessary for processing mobile-health app data into a format usable for therapists.
• Develop therapist dashboard in collaboration with PiLR MEI engineers to host data collected from the mobile-health app on patient recovery status.
• Collaborate with quantative psychologists on item-response theory aims.
• Conduct power analyses of proposed research grants.

• Together with the PI, oversee post-doctoral scholar(s) who are coordinating internal and extramural grants.
• Oversee project coordinators writing IRB applications and assist the PI in writing and submitting federal and private foundation grant applications.
• Collaborate with the laboratory director with manuscript preparation.
• Train and evaluate the student members of the laboratory to ensure adherence to the database management protocols and data integrity.
• Oversee the database manager in the development and maintenance of RedCap databases.
• Co-lead or lead database management and statistical training.
• Supervise and mentor post-doctoral fellows.

• Write and submit manuscripts based on existing and ongoing data collected in the laboratory.
• Conduct data collection for independent or pilot research study.
• Write internal and extramural research grants as a Co-I, Co-PI, or PI (e.g., T32, F32, K01, R34, R01 applications, depending on career stage).

Position Requirements

• This will be a  hybrid position to start with and will transition to fully on-site – this means we will require relocation to Lawrence, Kansas.

Required Qualifications

Preferred Qualifications

Additional Candidate Instruction

Please provide your CV and three letters of recommendation from academic mentors.

Application review will begin on November 1, 2021 and will continue until a qualified pool has been identified.

Advertised Salary Range

$65,000 or higher (depending on experience)

Application Review Begins

01-Nov-2021

Anticipated Start Date

20-Jan-2022

Limited Term End Date

19-Jan-2024

Primary Campus

University of Kansas Lawrence Campus

Employee Class

U-Unclassified Professional Staff

Work Schedule

40 hours/week

Conditions of Employment

Contingent on Funding, Limited Term

Work Location Assignment

On-Site

Disclaimer

The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity and Access, [email protected], Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses).