Postdoctoral Associate - Clinical Bioinformatics

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 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.

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.