What are the responsibilities and job description for the Senior Research Assistant, Healthcare AI position at The George Washington University?
Posting Details
I. DEPARTMENT INFORMATION
Job Description Summary:
Founded in 1824, the GW School of Medicine and Health Sciences ( SMHS ) is the 11th oldest medical school in the country and the 1st in the nation’s capital. Since its establishment, SMHS has been at the forefront of medical education and has grown to include highly-ranked programs in the health and biomedical sciences. With dozens of top-tier residencies, the school continues to be a competitive and esteemed destination for medical school graduates, faculty, and researchers across the country. Find out more here: http://smhs.gwu.edu/ .
The Center for Global Mental Health Equity currently seeks a full-time Senior Research Assistant to support the analysis and visualization of data across several clinical trials in both domestic and global settings.At large, the center implements research and capacity building initiatives that address systemic barriers to accessible, effective mental health care in low- and middle-income contexts. With a diversity of National Institute of Mental Health ( NIMH )-funded grants, World Health Organization ( WHO ) collaborations, and other institutional partnerships among its project portfolio, it utilizes community participatory research-based approaches to feasibly address the mental health needs of peoples worldwide.
Duties :
Qualified candidates will hold a BA/BS and 1 year of experience in a related discipline. Degree must be conferred by the start date of the position.
Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications:
Preferred Qualifications:
GW Staff Approach to Pay
How is pay for new employees determined at GW?
Healthcare Benefits
GW offers a comprehensive benefit package that includes medical, dental, vision, life & disability insurance, time off & leave, retirement savings, tuition, well-being and various voluntary benefits. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs.
II. POSITION INFORMATION
Campus Location: Foggy Bottom, Washington, D.C.
College/School/Department: School of Medicine and Health Sciences (SMHS)
Family Research and Labs
Sub-Family Laboratory Research
Stream Service and Support
Level Level 3
Full-Time/Part-Time: Full-Time
Hours Per Week: 40
Work Schedule: Monday – Friday, 9AM-5:30PM
Will this job require the employee to work on site? Yes
Employee Onsite Status Hybrid
Telework:
Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search
Special Instructions to Applicants:
Employer will not sponsor for employment Visa status
Internal Applicants Only? No
Posting Number: R002420
Job Open Date:
Job Close Date:
Background Screening Successful Completion of a Background Screening will be required as a condition of hire.
EEO Statement:
The university is an Equal Employment Opportunity employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
I. DEPARTMENT INFORMATION
Job Description Summary:
Founded in 1824, the GW School of Medicine and Health Sciences ( SMHS ) is the 11th oldest medical school in the country and the 1st in the nation’s capital. Since its establishment, SMHS has been at the forefront of medical education and has grown to include highly-ranked programs in the health and biomedical sciences. With dozens of top-tier residencies, the school continues to be a competitive and esteemed destination for medical school graduates, faculty, and researchers across the country. Find out more here: http://smhs.gwu.edu/ .
The Center for Global Mental Health Equity currently seeks a full-time Senior Research Assistant to support the analysis and visualization of data across several clinical trials in both domestic and global settings.At large, the center implements research and capacity building initiatives that address systemic barriers to accessible, effective mental health care in low- and middle-income contexts. With a diversity of National Institute of Mental Health ( NIMH )-funded grants, World Health Organization ( WHO ) collaborations, and other institutional partnerships among its project portfolio, it utilizes community participatory research-based approaches to feasibly address the mental health needs of peoples worldwide.
Duties :
- Contribute to the design and development of a data visualization and reporting system to support multi-site research collaboration across more than 10 international partners.
- Under the supervision of senior level staff, support the management, cleaning, and integration of complex datasets from multiple projects to ensure high data quality and usability.
- Conduct statistical analyses and advanced quantitative modeling to support ongoing research studies and publications.
- Under the supervision of senior level staff, apply machine learning and data science methods as part of a research initiative funded by OpenAI.
- Support with generating dashboards, visualizations, and analytic reports to communicate findings to investigators and international collaborators.
- Contribute to research dissemination, including manuscripts, presentations, and grant-related deliverables.
- Collaborate with multidisciplinary research teams to support data infrastructure, analytic workflows, and project milestones.
- Perform other related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.
Qualified candidates will hold a BA/BS and 1 year of experience in a related discipline. Degree must be conferred by the start date of the position.
Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications:
Preferred Qualifications:
- Proficiency in at least one statistical programming language for data cleaning, analysis, and visualization is desired.
- Familiarity with data visualization tools and frameworks, or dashboard tools.
- Exposure to data cleaning, merging, and management of multi-source datasets.
- Strong attention to detail and commitment to data quality Ability to manage multiple tasks and meet project deadlines.
- Experience working in collaborative, multidisciplinary research teams.
GW Staff Approach to Pay
How is pay for new employees determined at GW?
Healthcare Benefits
GW offers a comprehensive benefit package that includes medical, dental, vision, life & disability insurance, time off & leave, retirement savings, tuition, well-being and various voluntary benefits. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs.
II. POSITION INFORMATION
Campus Location: Foggy Bottom, Washington, D.C.
College/School/Department: School of Medicine and Health Sciences (SMHS)
Family Research and Labs
Sub-Family Laboratory Research
Stream Service and Support
Level Level 3
Full-Time/Part-Time: Full-Time
Hours Per Week: 40
Work Schedule: Monday – Friday, 9AM-5:30PM
Will this job require the employee to work on site? Yes
Employee Onsite Status Hybrid
Telework:
Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search
Special Instructions to Applicants:
Employer will not sponsor for employment Visa status
Internal Applicants Only? No
Posting Number: R002420
Job Open Date:
Job Close Date:
Background Screening Successful Completion of a Background Screening will be required as a condition of hire.
EEO Statement:
The university is an Equal Employment Opportunity employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
Salary : $19 - $28