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.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties

• 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 prepare 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 support 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.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• MD passionate about clinical bioinformatics and driving innovation in healthcare.
• Able to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
• Background in basics statics.
• Background in basics AI.