Summary:
The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
Postdoctoral Associate – Clinical Bioinformatics, Baylor College of Medicine, US
Designation:
Postdoctoral Associate – Clinical Bioinformatics
Research Area:
Clinical Bioinformatics, AI/ML/NLP in Healthcare, Biomedical Data Science, Health Informatics
Location:
Houston, TX (Onsite only)
Table:
- Division: Medicine
- Work Arrangement: Onsite only
- Salary Range: $62,232
- FLSA Status: Exempt
- Work Schedule: Monday – Friday, 8 a.m. – 5 p.m.
Eligibility/Qualifications:
- Minimum: MD or Ph.D. in Basic Science, Health Science, or a related field
- Experience: No experience required
- Preferred:
- MD passionate about clinical bioinformatics and driving innovation in healthcare
- Ability to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics
- Background in basic statistics
- Background in basic AI
Job Description:
- Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges
- Reads and interprets patient-level data to support the development of AI/ML/NLP algorithms for clinical applications
- Annotates medical notes and datasets to facilitate training and validation of predictive models
- Collaborates with data scientists, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms
- Conducts exploratory data analysis to extract meaningful insights from complex datasets
- Writes manuscripts and prepares presentations for local, national, and international conferences
- Conducts literature reviews and maintains awareness of advancements in bioinformatics, AI, and clinical data analysis
- Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development
- Tests, debugs, and validates models in partnership with technical and clinical teams
- Ensures adherence to ethical guidelines for the use of patient data in research and development
- Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to advance clinical informatics research
- Leverages clinical expertise to refine machine learning models, ensuring clinical relevance and accuracy
- Collaborates on the integration of clinical datasets into broader health informatics systems
- Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases
- Presents findings in department meetings and seminars and supports grant writing and funding initiatives
- Mentors trainees or junior team members in clinical informatics and research methods as needed
- Performs other job-related duties as assigned
How to Apply:
- Apply through the Baylor College of Medicine career portal (Apply now)
- Additional application details are not provided in the source text; interested candidates should visit the Baylor College of Medicine careers page and search for requisition ID 25518 to submit their materials.
Last Date for Apply: Open Now
- Not specified in the provided information. Applicants are encouraged to apply promptly via the official career portal and reference Requisition ID: 25518.
