Graduate Students
Dr. Levinson may or may not take a PhD student for the 2023-2024 cycle but she will be reviewing applications. She is especially interested in graduate students interested in working with existing data (a) modifying exposure therapy for eating disorders, (b) using idiographic models to personalize treatment, and (c) developing psychophysiology algorithms collected with wearable sensors to predict eating disorder recovery and relapse.
Dr. Levinson may or may not take a PhD student for the 2023-2024 cycle but she will be reviewing applications. She is especially interested in graduate students interested in working with existing data (a) modifying exposure therapy for eating disorders, (b) using idiographic models to personalize treatment, and (c) developing psychophysiology algorithms collected with wearable sensors to predict eating disorder recovery and relapse.
WE ARE HIRING:
Full or Part-Time Data Manager
The Eating Anxiety Treatment (EAT) Laboratory has an opening for a full Data Manager who will oversee the development and use of several large datasets in our laboratory. The Data Manager will work closely with Dr. Cheri Levinson, and a team of local and international researchers to serve as a leader in data systems, creating and enforcing effective organizational policies related to the collection and maintenance of clinical research data. Datasets are all generally on the topic of eating disorders and range from clinical randomized control trials to large datasets that include intensive longitudinal and psychophysiological data, offering many unique opportunities to work with innovative data. The Data Manager will collaborate with the PI and other study members to write manuscripts, abstracts, and other publications of research findings. The Data Manager 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.
The Eating Anxiety Treatment (EAT) Laboratory has a six-pronged mission, all of which center on improving the lives of those with eating disorders. Our mission is to (a) conduct cutting-edge research to develop novel treatments for eating disorders, (b) provide high-quality, evidence-based treatment for eating disorders (c) train the next generation of eating disorder researchers and clinicians, (d) distribute scientifically-based prevention programs across the community, (e) advocate for more awareness, better treatment, and services for eating disorders, and (f) work toward a more equitable and inclusive future that alleviates barriers to accessing high-quality treatment, prevention, and research for underserved populations. In pursuit of this mission, the EAT Lab has initiated numerous NIH-funded and privately-funded studies that include complex data collection methods, such as ecological momentary assessment (EMA), clinical assessment, questionnaires, and psychophysiological data.
Finally, our laboratory has close relationships with numerous local and national eating-disorder treatment centers as well as colleagues across the globe, making this an ideal setting for researchers seeking to establish an independent clinical research career. Start date and salary are negotiable depending on availability of funds.
Job Description
Position Requirements:
Required Qualifications
Preferred Qualifications:
Additional Candidate Instructions:
Interested applicants should send their CV, a cover letter, and names and contact for 3 references to Dr. Levinson at cheri.levinson@louisville.edu and copy taylor.gardner.1@louisville.edu.
RECRUITING RESEARCH ASSISTANTS
Undergraduate research assistants:
We are currently recruiting undergraduate research assistants to help with our research. We are currently recruiting for Fall 2021, and will review applications later this summer. You may earn credit through PSYC 491.
Postbac and graduate student research assistants
We are always looking for motivated and capable volunteer research assistants. This position is great for anyone who has graduated and wants to go to a Phd/PsyD program, or anyone currently in a graduate (master’s or PhD/PsyD) program wanting to gain clinical and research experiences in the field of eating disorders.
RA recruitment Info sheet
RA APPLICATION: Click here for application
To apply to work in our lab, please fill out the application above and return it to Mackenzie Brown (mackenzie. brown.2@louisville.edu):
Full or Part-Time Data Manager
The Eating Anxiety Treatment (EAT) Laboratory has an opening for a full Data Manager who will oversee the development and use of several large datasets in our laboratory. The Data Manager will work closely with Dr. Cheri Levinson, and a team of local and international researchers to serve as a leader in data systems, creating and enforcing effective organizational policies related to the collection and maintenance of clinical research data. Datasets are all generally on the topic of eating disorders and range from clinical randomized control trials to large datasets that include intensive longitudinal and psychophysiological data, offering many unique opportunities to work with innovative data. The Data Manager will collaborate with the PI and other study members to write manuscripts, abstracts, and other publications of research findings. The Data Manager 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.
The Eating Anxiety Treatment (EAT) Laboratory has a six-pronged mission, all of which center on improving the lives of those with eating disorders. Our mission is to (a) conduct cutting-edge research to develop novel treatments for eating disorders, (b) provide high-quality, evidence-based treatment for eating disorders (c) train the next generation of eating disorder researchers and clinicians, (d) distribute scientifically-based prevention programs across the community, (e) advocate for more awareness, better treatment, and services for eating disorders, and (f) work toward a more equitable and inclusive future that alleviates barriers to accessing high-quality treatment, prevention, and research for underserved populations. In pursuit of this mission, the EAT Lab has initiated numerous NIH-funded and privately-funded studies that include complex data collection methods, such as ecological momentary assessment (EMA), clinical assessment, questionnaires, and psychophysiological data.
Finally, our laboratory has close relationships with numerous local and national eating-disorder treatment centers as well as colleagues across the globe, making this an ideal setting for researchers seeking to establish an independent clinical research career. Start date and salary are negotiable depending on availability of funds.
Job Description
- Oversee data management and study flow through the protocols using RedCap.
- Co-lead or lead database management and statistical training.
- Train and evaluate the student members of the laboratory to ensure adherence to the database management protocols and data integrity.
- Perform statistical analyses, as needed, using R, SPSS, or Mplus.
- Provide oversight on statistical analyses conducted by other members of the laboratory.
- Train laboratory members in the use of statistical methods and databases.
- Oversee the researchers in the development and maintenance of RedCap 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 researchers.
- Conduct power analyses of proposed research grants.
- Together with the PI, oversee post-doctoral scholar(s) who are coordinating internal and extramural grants.
- Collaborate with the laboratory director with manuscript preparation.
Position Requirements:
- This will be a hybrid position to start with and will ideally transition to fully on-site in Louisville, KY.
Required Qualifications
- Master’s degree or bachelor’s degree in psychology, public health, sociology, quantitative psychology, educational psychology, or statistics (or related field) by the start date
Preferred Qualifications:
- Demonstrated ability to work to a deadline.
- Experience with R statistical software and experience in at least one of these areas, as well as ability to learn additional methods: clinical trial analysis, machine learning, structural equation modeling, longitudinal data analysis, and network analysis.
- Experience or prior training in clinical psychology or behavioral health research.
- Experience in laboratory management or administration.
- Advanced statistical understanding with demonstrated ability to apply analytical methods to large datasets.
- Proficient computer knowledge to interface with a variety of database, statistical, and imaging task and processing software, such as SPSS, SAS, R, Qualtrics, and RedCap.
Additional Candidate Instructions:
Interested applicants should send their CV, a cover letter, and names and contact for 3 references to Dr. Levinson at cheri.levinson@louisville.edu and copy taylor.gardner.1@louisville.edu.
RECRUITING RESEARCH ASSISTANTS
Undergraduate research assistants:
We are currently recruiting undergraduate research assistants to help with our research. We are currently recruiting for Fall 2021, and will review applications later this summer. You may earn credit through PSYC 491.
Postbac and graduate student research assistants
We are always looking for motivated and capable volunteer research assistants. This position is great for anyone who has graduated and wants to go to a Phd/PsyD program, or anyone currently in a graduate (master’s or PhD/PsyD) program wanting to gain clinical and research experiences in the field of eating disorders.
RA recruitment Info sheet
RA APPLICATION: Click here for application
To apply to work in our lab, please fill out the application above and return it to Mackenzie Brown (mackenzie. brown.2@louisville.edu):
|
|
