Summary
Baylor College of Medicine is seeking a highly motivated Postdoctoral Associate to join a groundbreaking team integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies. This position offers a unique opportunity to contribute to advancing clinical informatics, improve patient care, and develop innovative solutions for healthcare challenges.
Designation
Postdoctoral Associate – Clinical Bioinformatics
Research Area
- Clinical Bioinformatics
- Artificial Intelligence (AI) in Healthcare
- Machine Learning (ML) in Healthcare
- Natural Language Processing (NLP) in Healthcare
- Clinical Data Annotation and Analysis
- Biostatistics in AI/ML Development
Location
Houston, TX (Onsite only)
Eligibility/Qualification
Minimum Qualifications
- MD or Ph.D. in Basic Science, Health Science, or a related field.
- No prior experience required.
Preferred Qualifications
- MD with a strong passion for clinical bioinformatics and driving innovation in healthcare.
- Demonstrated ability to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
- Background in basic statistics.
- Background in basic AI principles.
Job Description
The Postdoctoral Associate will play a pivotal role in the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program, focusing on the development and application of AI/ML/NLP-driven solutions for healthcare challenges. Key responsibilities include:
- Collaborating on the development of AI/ML/NLP-driven solutions for healthcare challenges.
- Reading and interpreting patient-level data to support algorithm development for clinical applications.
- Annotating medical notes and datasets to facilitate training and validation of predictive models.
- Collaborating with data scientists, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms.
- Conducting exploratory data analysis to extract meaningful insights from complex datasets.
- Writing manuscripts and preparing presentations for local, national, and international conferences.
- Conducting literature reviews and maintaining awareness of advancements in bioinformatics, AI, and clinical data analysis.
- Applying foundational knowledge of biostatistics and AI principles to inform study design and algorithm development.
- Testing, debugging, and validating models in partnership with technical and clinical teams.
- Ensuring adherence to ethical guidelines for the use of patient data in research and development.
- Leveraging clinical expertise to refine machine learning models, ensuring clinical relevance and accuracy.
- Collaborating on the integration of clinical datasets into broader health informatics systems.
- Providing expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases.
- Presenting findings in department meetings and seminars and supporting grant writing and funding initiatives.
- Mentoring trainees or junior team members in clinical informatics and research methods as needed.
- Performing other job-related duties as assigned.
How to Apply
Interested candidates should apply through the official Baylor College of Medicine careers portal. Please ensure all required documentation is submitted as part of your application.
Last Date for Apply
Not specified.
