Job Title: Postdoctoral Associate - Translational Imaging Group
Division: Radiology
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $63,480
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Translational Imaging Group (TIGR) lab seeks a postdoctoral researcher to work on innovative projects integrating preclinical and clinical data with AI and ML. This role includes partnering with AI/ML/NLP teams, developing algorithms, and deriving insights to advance groundbreaking research. The Postdoctoral Associate will also publish papers and present research locally and nationally.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
Collaborates with computational teams to design, implement, and validate AI, ML, and NLP models tailored to complex healthcare challenges.
Conducts exploratory data analysis, data curation, and statistical modeling on high-dimensional preclinical and clinical datasets.
Generates domain-specific clinical annotations to train and benchmark large language models (LLMs) and clinical NLP algorithms.
Leverages clinical and biological domain knowledge to ensure models are methodologically sound, clinically meaningful, and generalizable.
Partners across Baylor College of Medicine (BCM) and Texas Children's Hospital (TCH) to debug, validate, and deploy models in translational and clinical informatics pipelines.
Leads the drafting and preparation of high-impact peer-reviewed manuscripts, grant contributions, and conference presentations.
Adheres rigorously to institutional review board (IRB) protocols, HIPAA regulations, and ethical guidelines governing patient data in research.
Maintains continuous awareness of emerging advancements in bioinformatics, deep learning architectures, and healthcare data science.
Collaborates with data scientists, machine learning engineers, and clinical partners to design, implement, and validate innovative algorithms.
Ensures compliance with ethical guidelines governing the use of patient data in research and development and maintains effective collaboration with relevant stakeholders.
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
Ph.D. or M.D. in Biomedical Informatics, Computer Science, Data Science, Biomedical Engineering, Health Sciences, or a closely related quantitative or life science field.
Knowledge in biostatistics, machine learning fundamentals, and study design.
Practical experience working with medical imaging, electronic health records (EHR), or preclinical bioinformatics data.
Proficiency in common scientific programming environments (e.g., Python, R) and relevant ML/NLP libraries.
Demonstrated track record of scientific writing (e.g., peer-reviewed publications, preprints, or substantial thesis work).
Strong communication skills and enthusiasm for bridging the gap between computational data science and clinical medicine.
Requisition ID: 26420
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Numbers & Facts
Location
Houston, TX
Skills
Algorithmsunmatched
Artificial Intelligence (AI)unmatched
Benchmarkingunmatched
Bioinformaticsunmatched
Biologyunmatched
Biomedical Engineeringunmatched
Biomedicineunmatched
Biostatisticsunmatched
Clinical Dataunmatched
Clinical Medicineunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Data Analysisunmatched
Data Scienceunmatched
Debugging Skillsunmatched
Deep Learningunmatched
HIPAA (Health Insurance Portability and Accountability Act)unmatched