UNIV - Post-Doctoral Candidate - Department of BMIC/PHS

Medical University of South Carolina

Charleston, SC

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Biomedical Research, Biomedicine, Communication Skills, Computer Science, Conferences, Data Analysis, Data Quality, Data Science, Debugging Skills, Deep Learning, Depth Perception, Driver's License, Establish Priorities, Experiment Design, Federal Laws and Regulations, Focus Groups, Grant Writing, Health Science, Healthcare, IRB/IEC (Institutional Review Board/Independent Ethics Committee), Informatics, Machine Learning, Medical Record System, Medicine, Modeling Languages, Natural Language Processing (NLP), Presentation/Verbal Skills, Project Planning, Public Health, Publications, Python Programming/Scripting Language, R Programming Language, Reporting Skills, Research Grants, Scientific Publications, Scientific Research, Software Development, Staff Training, State Laws and Regulations, Statistics, Team Lead/Manager, Team Player, United States Public Health Service, Writing Skills
LOCATION
Charleston, SC
POSTED
30+ days ago

Job Description Summary

The post-doc will be working with the Biomedical Informatics research team on AI applications in the field of biomedicine, including large language models explainability ethics trust, and other research areas. The position is based at MUSC in the Division of Biomedical Informatics in the Department of Public Health Sciences. The post-doc will contribute to shaping scientific objectives, research projects, planning, execution, and analysis related to AI projects in biomedicine. This includes collaboration with faculty members at MUSC and across the state. The post-doc will participate in the design and execution of research projects and the preparation of scientific presentations and manuscripts.

Medical University of South Carolina MUSC - UnivWorker TypeEmployeeWorker Sub-TypeRegularCost CenterCC000955 COM Biomedical Informatics Center CCPay Rate TypeSalaryPay GradeUniversity-00Pay Range0.00 - 0.00 - 0.000Scheduled Weekly Hours40Work Shift

Job Description

The post-doc will be working with the Biomedical Informatics research team on AI applications in the field of biomedicine, including large language models explainability ethics trust, and other research areas. The position is based at MUSC in the Division of Biomedical Informatics in the Department of Public Health Sciences. The post-doc will contribute to shaping scientific objectives, research projects, planning, execution, and analysis related to AI projects in biomedicine. This includes collaboration with faculty members at MUSC and across the state. The post-doc will participate in the design and execution of research projects and the preparation of scientific presentations and manuscripts.

Job Duties

  1. Conduct and assist with research on topics relevant to artificial intelligence, AI ethics, in AI explainable AI (XAI), and AI acceptance, including but not limited to data acquisition, IRB approval, AI model development, and coordinating focus groups with clinicians and other stakeholders on AI acceptability.

  2. Performs statistical analyses, including selecting the appropriate analysis procedure, setting up data for analysis, judging validity, and reliability of data.

  3. Contribute to scientific publications and conferences. Prepare written reports and collaborate in scientific publications, authoring, and research findings presentation at scientific conferences.

  4. Consultation with co-investigators on appropriate design and development. Assists faculty researchers and other collaborators or may act independently in planning and designing research experiments, establishing priorities, and recommending schedules, timetables, and costs.

  5. May supervise and be responsible for training staff, graduate assistants, or student employees.

  6. Contribute to shaping scientific objectives, research projects, planning, execution, and analysis. Collaborating with the Biomedical Informatics and other faculty members at MUSC or other academic institutions. The successful candidate will participate in the preparation, e.g., research grant application development, and execution of research projects.

Preferred Knowledge, Skills, and Abilities

· A doctoral degree in computer science, data science, biomedical informatics, medicine, or other related areas.

· Solid data science skills, e.g., R or python, machine learning, or deep learning, and ability to write, debug, and revise computer code.

· Willingness to coordinate and supervise part of the research activity within BMIC.

· Ability to work in a collaborative environment with a strong commitment to achieving research goals.

· Excellent oral and written communication skills. Ability to communicate in a clear and concise manner.

Desired Knowledge, Skills, and Abilities

· Good publication record related to biomedical data science, AI, biomedical informatics, and/or related ethics.

· Experience with natural language processing.

· Experience with clinical text and electronic health records.

· Experience with healthcare data standards.

· Project and team management experience.

Additional Job Description

Physical Requirements

Note: The following descriptions are applicable to this section.

Continuous - 6-8 hours per shift Frequent - 2-6 hours per shift Infrequent - 0-2 hours per shift

Ability to perform job functions in an upright position. Continuous Ability to perform job functions in a seated position. Continuous Ability to perform job functions while walking/mobile. Frequent Ability to climb stairs. Infrequent Ability to work indoors. Infrequent Ability to work in all cold temperature extremes, i.e., spot coolers. Continuous Ability to bend at the waist. Frequent Ability to twist at the waist. Frequent Ability to perform pinching operations. Frequent Ability to fully use both hands/arms. Continuous Ability to perform repetitive motions with hands, wrists, elbows, and shoulders. Continuous Ability to fully use both legs. Continuous Ability to reach in all directions. Continuous Ability to possess good finger dexterity. Continuous Ability to maintain tactile sensory functions. Continuous Ability to maintain good olfactory sensory function. Continuous Ability to lift and carry 15 lbs. unassisted. Continuous Ability to lift objects up to 15 lbs. from floor level to height of 72 inches unassisted. Frequent Ability to lower objects up to 15 lbs. from height of 72 inches to floor level unassisted. Frequent Ability to push/pull objects up to 15 lbs. unassisted. Frequent Ability to maintain 2040 vision corrected. Continuous Ability to see and recognize objects close at hand. Continuous Ability to see and recognize objects at a distance. Continuous Ability to match or discriminate between colors. Continuous Ability to determine distance/relationship between objects depth perception. Continuous Ability to maintain good peripheral vision capabilities. Continuous Ability to maintain hearing acuity with correction. Continuous Ability to perform gross motor functions with frequent fine motor movements. Continuous Ability to be qualified physically by medical personnel for respirator use initially and annually. Continuous Ability to work alone in isolated areas, such as darkrooms. Frequent

Additional New Requirements

Ability to obtain and maintain a valid drivers license. Computer literacy. Ability to work rotating shifts as required. Ability to work overtime as required. Ability to learn and use new processes, tools, and equipment as required.

If you like working with energetic and enthusiastic individuals, you will enjoy your career with us.

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion, or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family, or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit, and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees

About the Company

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Medical University of South Carolina