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

Medical University of South Carolina; Orleans Estates (SC); On-site; USD 55,000 - 71,000; Full time

Job summary

Medical University of South Carolina in Charleston is seeking a post-doctoral researcher in Biomedical Informatics to work on AI applications in biomedicine, including large language models, explainability, ethics, and trust. The role focuses on shaping scientific objectives, planning and executing AI-related projects, and collaborating with MUSC faculty and state-wide researchers.

The candidate will contribute to study design, data analysis, and preparation of scientific presentations and

Qualifications

• Doctoral degree in computer science, data science, biomedical informatics, medicine or related areas.
• Solid data science skills with Python/R, ML/DL.
• Ability to coordinate and supervise aspects of the research activity within BMIC.
• Strong collaborative work ethic and excellent communication skills.

Responsibilities

• Lead AI/biomedicine research projects including data acquisition, IRB processes, model development, and clinician coordination.
• Perform statistical analyses and assess data validity and reliability.
• Contribute to publications and conference presentations; prepare reports and manuscripts.
• Consult with co-investigators on study design, priorities, schedules, and budgets.
• Potentially supervise staff and students as part of research activities.
• Shape scientific objectives and contribute to grant applications and project execution.

Skills

Data science

Python

R

ML/DL

Code development

Collaboration

Communication

Education

Doctoral degree in CS/Computing/Bioinformatics

Job description

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.

Entity

Medical University of South Carolina (MUSC - Univ)

Worker Type

Employee

Worker Sub-Type

Regular

Cost Center

CC000955 COM Biomedical Informatics Center CC

Pay Rate Type

Salary

Pay Grade

University-00

Pay Range

0.00 - 0.00 - 0.000

Scheduled Weekly Hours

40

Job Duties

1. 30% 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. 25% Performs statistical analyses, including selecting the appropriate analysis procedure, setting up data for analysis, judging validity and reliability of data.

3. 20% Contribute to scientific publications and conferences. Prepare written reports and collaborate in scientific publications authoring and research findings presentation at scientific conferences.

4. 10% 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. 10% May supervise and be responsible for training staff, graduate assistants, or student employees.

6. 5% 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. (Continuous) Ability to work in all cold temperature extremes, i.e. spot coolers. (Frequent) Ability to bend at the waist. (Frequent) Ability to twist at the waist. (Frequent) Ability to perform 'pinching' operations. (Continuous) 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) 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. (Frequent) 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. (Infrequent) Ability to lift and carry objects up to 15 lbs. a distance of five (5) floors and to outlying buildings. (Frequent) Ability to maintain 20/40 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) 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. 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 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.

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