UTMB Health
Postdoctoral Fellow, Basic Science & Transitional Research
UTMB Health, Galveston, Texas, United States, 77554
Postdoctoral Fellow, Basic Science & Transitional Research
Galveston, Texas, United States
Training & Education
UTMB Health
Requisition # 2504774
JOB DESCRIPTION We seek a postdoctoral researcher skilled in computational biology, machine learning, and network pharmacology to integrate multimodal datasets from reproductive pharmacology—drug testing, PBPK modeling, and protein interaction studies—into predictive and mechanistic models.
ESSENTIAL JOB FUNCTIONS
Integrate proteomics, pharmacokinetics, transcriptomics, and functional assay data into biological networks.
Build/validate ML models to predict drug-target interactions, inflammatory responses, and pregnancy PK outcomes.
Collaborate with wet-lab teams on organ-on-chip, exosomal drug delivery, and PBPK simulations.
Identify signaling nodes, transporter proteins, and therapeutic targets in pregnancy-related disorders.
Develop user-friendly visualization tools for model outputs.
MINIMUM QUALIFICATIONS Ph.D., M.D. or Doctoral equivalent in any field. Scientific research experience
PREFERRED QUALIFICATIONS
Ph.D. in Bioinformatics, Computational Biology, Systems Pharmacology, or related field.
Proficiency in Python, ML frameworks (scikit-learn, TensorFlow, XGBoost), and network biology tools (Cytoscape, NetworkX).
Experience with PBPK models, ADMET prediction, or omics data integration preferred.
Ability to link computational outputs with experimental insights.
Background in pregnancy PK, feto-maternal interface biology, or protein-protein interactions.
Familiarity with AutoDock, DeepChem, or exosome databases.
Experience curating training datasets from literature/experiments.
SALARY Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.
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Galveston, Texas, United States
Training & Education
UTMB Health
Requisition # 2504774
JOB DESCRIPTION We seek a postdoctoral researcher skilled in computational biology, machine learning, and network pharmacology to integrate multimodal datasets from reproductive pharmacology—drug testing, PBPK modeling, and protein interaction studies—into predictive and mechanistic models.
ESSENTIAL JOB FUNCTIONS
Integrate proteomics, pharmacokinetics, transcriptomics, and functional assay data into biological networks.
Build/validate ML models to predict drug-target interactions, inflammatory responses, and pregnancy PK outcomes.
Collaborate with wet-lab teams on organ-on-chip, exosomal drug delivery, and PBPK simulations.
Identify signaling nodes, transporter proteins, and therapeutic targets in pregnancy-related disorders.
Develop user-friendly visualization tools for model outputs.
MINIMUM QUALIFICATIONS Ph.D., M.D. or Doctoral equivalent in any field. Scientific research experience
PREFERRED QUALIFICATIONS
Ph.D. in Bioinformatics, Computational Biology, Systems Pharmacology, or related field.
Proficiency in Python, ML frameworks (scikit-learn, TensorFlow, XGBoost), and network biology tools (Cytoscape, NetworkX).
Experience with PBPK models, ADMET prediction, or omics data integration preferred.
Ability to link computational outputs with experimental insights.
Background in pregnancy PK, feto-maternal interface biology, or protein-protein interactions.
Familiarity with AutoDock, DeepChem, or exosome databases.
Experience curating training datasets from literature/experiments.
SALARY Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.
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