Postdoctoral Associate - Translational Imaging Group

Baylor College of Medicine; Town of Texas (WI); On-site; USD 38,000 - 73,000; Full time

Job summary

The Translational Imaging Group (TIGR) at Baylor College of Medicine seeks a postdoctoral researcher to advance AI-driven analyses that combine preclinical and clinical data. The work spans collaboration with AI/ML/NLP teams, algorithm development, and dissemination of findings through publications and talks.

BCM follows NIH stipend guidelines for Postdoctoral Associates, with an onsite role in Houston, TX, and a standard schedule.

Qualifications

• MD or Ph.D. in Basic Science, Health Science, or related field.
• No experience required.
• Ph.D. or M.D. in Biomedical Informatics, Computer Science, Data Science, Biomedical Engineering, Health Sciences, or a closely related field.
• Knowledge in biostatistics, machine learning fundamentals, and study design.
• Practical experience with medical imaging, electronic health records (EHR), or preclinical bioinformatics data.
• Proficiency in Python and R and ML/NLP libraries.
• Demonstrated track record of scientific writing (peer-reviewed publications, preprints).
• Strong communication skills bridging data science and clinical medicine.

Responsibilities

• Collaborates with computational teams to design, implement, and validate AI, ML, and NLP models tailored to healthcare challenges.
• Conducts exploratory data analysis, data curation, and statistical modeling on high-dimensional datasets.
• Generates clinical annotations to train and benchmark LLMs and clinical NLP algorithms.
• Leverages domain knowledge to ensure models are clinically meaningful and generalizable.
• Partners with BCM and Texas Children's Hospital to deploy models in informatics pipelines.
• Leads drafting and preparation of manuscripts, grants, and conference presentations.
• Adheres to IRB, HIPAA, and ethical guidelines for patient data in research.
• Keeps abreast of advances in bioinformatics and healthcare data science.
• Collaborates with data scientists, ML engineers, and clinical partners to design algorithms.
• Performs other duties as assigned.

Skills

AI/ML model development

Python/R programming

Scientific writing

Education

MD/ PhD in Basic/Health Science or related field

Tools

Python

R

EHR

Job description

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

Baylor College of Medicine fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing our institutional mission and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.