University of Health Sciences and Pharmacy in St. Louis, MO is hiring a Research Associate/Postdoc – Machine Learning and Natural Language Processing
Type: Full-Time
Posted: 02/23/2024
Category: Computer Science
Job Details:
Position Type: Postdoctoral Research Associate
Education Level: Master’s Degree
Travel Percentage: Negligible
Job Shift: Any
Job Category: Research
Summary:
The Research Associate/Postdoc will work with Dr. Sylvester Orimaye to conceptualize research studies, design methods, and modeling, perform data analysis, attend/present at international conferences, and draft manuscripts (papers and proposals). This is an excellent opportunity for junior scientists to engage in hands-on programming, apply artificial intelligence to healthcare practice, and thrive in multi-institutional collaborative projects with esteemed scholars. The BevHO AI lab works with a diverse group of students and faculty, and it is an incubator for young students with a keen interest in AI research.
Responsibilities:
- Develop and implement machine learning models for analyzing psychiatric data.
- Apply natural language processing techniques to extract meaningful insights from textual and audio data in the field of psychiatry.
- Collaborate with researchers, clinicians, and data scientists to design and execute experiments.
- Contribute to developing novel methodologies and approaches in ML/NLP for psychiatry research.
- Contribute to writing extramural research grants.
- Publish research findings in reputable conferences and journals.
- Support and coordinate students’ engagements within the BevHO AI Lab.
Qualifications:
To succeed in this role, you will need:
- Master or Ph.D. in Data Science, Computer Science, Machine Learning, Natural Language Processing, or a related field.
- Strong background in deep learning, machine learning, and natural language processing.
- Experience in applying ML/NLP techniques to analyze healthcare or psychiatry-related data.
- Proficiency in programming languages such as Python and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, NLTK), R, and SAS.
- Excellent communication and collaboration skills.
- Track record of publications in reputable conferences and journals.
If this sounds like the job for you here is information on how to apply:
If interested upload a CV, Cover Letter detailing research interests and relevant experience, and contact information for three references to UHSP’s application system. For questions, please contact Dr. Sylvester Orimaye at Sylvester.orimaye@uhsp.edu.
Benefits:
UHSP offers a great benefits package including excellent, affordable health insurance, dental, vision, University-paid life and disability insurance, voluntary coverage, retirement match, and generous parental and caregiver leave, personal and University holidays, sick and vacation time. University employees have access to library resources, fitness facilities, cafeteria, and university events.
AA/EOE Statement:
University of Health Sciences & Pharmacy in St. Louis values the benefits of a diverse student body and workforce. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status, or status as an individual with a disability. The University’s employment policy shall be supported through a continuing affirmative action commitment that embodies the standards of equal employment opportunities for all persons. EOE/M/F/Veteran/Disabled.
Apply on the Institution’s Website
University of Health Sciences & Pharmacy in St. Louis values the benefits of a diverse student body and workforce. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status, or status as an individual with a disability. The university employment policy shall be supported through a continuing affirmative action commitment that embodies the standards of equal employment opportunities for all persons. EOE/M/F/Veteran/Disabled.
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