All trainees supported by BIG-TCR will be required to accomplish the following curriculum requirements during the first year of appointment:
- To attend Responsible Conduct of Research training: According to requirement of CPRIT policy, all predoctoral and postdoctoral trainees must accomplish the NIH Responsible Conduct of Research (RCR) course in each school during training period. If a trainee has completed RCR training as a graduate student, or as a postdoc within the last four years (per NOT-OD-10-019), the trainee is required to provide the proof of completion. Or the trainees need to re-take the equivalent RCR course in the current school;
- To attend the BMI7151: Seminar in Precision Medicine at least one semester each appointment year.
- To enroll in laboratory rotations of the following UTHealth-appointed facilities: the specific rotation procedure will be finalized soon. If you plan to attend rotations in other facilities, please contact [email protected] to confirm your request. More UTHealth facility information can be found at https://www.uth.edu/research/core-labs/;
- To enroll the “Topics for Artificial intelligence (AI) in Cancer Discovery” in the fall semester. Besides this required course, BIG-TCR training program designed competency-based training to ensure that the development of multifaceted competencies will synergize with the discipline-based curriculum of each school. Predoctoral trainees are suggested to take the courses from complementary fields (for example trainees in the TCR side are suggested to take introduction-level courses in the BIG side, and vice versa).
If you want to consult the course, please email the BIG-TCR Executive Committee [email protected] to confirm.
Currently Approved Interdisciplinary Competency Courses and Enrichment Activities
Course ID of each school: SBMI (BMIxxxx), GSBS (GSxxxxx), and SPH (PHMxxxx)
Responsible Conduct of Research Equivalent Courses
| Course ID |
Course Name |
Semester |
| GS211051 |
The Ethical Dimensions of the Biomedical Sciences |
Fall |
| PHD3830 |
Ethics and Policy (SPH) |
Fall |
| GS211051 |
Postdoctoral Ethics course |
Spring and Fall |
Seminar/Workshop
| Course ID |
Course Name |
Semester |
|
BIG-TCR Annual Retreat |
Summer |
| BMI7151 |
Seminar in Precision Medicine |
All |
| GS011031 |
Quantitative Sciences Student Seminar Series |
Spring and Fall |
| GSBS |
Career Development Workshop |
Summer |
| GSBS |
Translational Science Seminar Workshop |
Spring or Fall |
| SBMI |
Machine Learning Datathon |
Summer |
|
Grant Writing & Oral Presentation |
|
|
Grants 101, Grants 102 (postdoctoral) |
Spring or Fall |
| GS031111 |
Scientific Writing for Grant Proposals |
Summer |
| GS041821 |
G&E Oral Scientific Presentations |
Spring |
Laboratory Rotation
| Course ID |
Course Name |
Semester |
|
Data Science and Informatics Core for Cancer Research |
|
|
UTHealth Cancer Genomics Core |
|
|
Therapeutic Monoclonal Antibody Lead Optimization and Development Core |
|
|
Advanced Cancer Antibody Drug Modalities Core Facility |
|
|
Molecular Diagnostics Laboratory |
|
|
DNA Sequencing and Genotyping Core |
|
|
UTHealth Flow Cytometry Core |
|
|
Clinical & Translational Proteomics Core |
|
Courses in each Competency Modules:
| Module 1: Biomedical Informatics (BIG)* |
| Course ID |
Course Name |
Semester |
| BMI 7320 |
Topics for Artificial Intelligence (AI) in Cancer Discovery |
Fall |
| BMI5300 |
Introduction to Biomedical Informatics |
All |
| BMI531 |
Foundations of Electronic Health Records and Clinical Information Systems |
All |
| BMI5327 |
Standards in Health Informatics |
Summer |
| BMI5380 |
Principles and Foundations of Public Health Informatics |
Spring and Fall |
| BMI6330 |
Biomedical Natural Language Processing |
Every 2 years |
| Module 2: Quantitative & Data Sciences (BIG)* |
| Course ID |
Course Name |
Semester |
|
Introduction to Artificial Intelligence (AI) in Cancer Discovery [new course under preparation] |
|
| BMI5352 |
Statistical Methods in Biomedical Informatics |
Summer and Fall |
| BMI5353 |
Biomedical Data Analysis |
Summer and Fall |
| BMI6323 |
Machine Learning in BMI |
All |
| BMI6318 |
Big Data in BMI |
Fall, Spring |
| GS011041 |
Computational Approaches for Single-Cell Data Analysis |
Spring and Fall |
| PHM1690L |
Introduction to Biostatistics in Public Health |
All |
| PHM1975L |
Intro to Data Science |
Fall |
| Module 3: Genomics & Bioinformatics (BIG)* |
| Course ID |
Course Name |
Semester |
| BMI5330 |
Introduction to Bioinformatics |
All |
| BMI5331 |
Foundations of Pharmacogenomics |
Fall |
| BMI5332 |
Statistical Genomic Analysis |
All |
| BMI5333 |
Systems Medicine: Principle and Practice |
Spring |
| GS041251 |
Practical Bioinformatics |
Fall |
| GS041253 |
Principles of Genetics and Epigenetics |
Spring |
| GS111073 |
Introduction to Genomics & Bioinformatics |
Fall |
| Module 4: Cancer Biology (TCR)* |
| Course ID |
Course Name |
Semester |
| GS041093 |
The Biology of Cancer Metastasis |
Fall |
| GS041223 |
Fundamental Mechanisms of Cancer Development |
Fall |
| GS041235 |
Basic and Translational Cancer Biology |
Spring |
| GS041813 |
History of Biology and Cancer Science |
Fall |
| GS061013 |
Fundamental Immunology |
Spring |
| Module 5: Translational Sciences (TCR)* |
| Course ID |
Course Name |
Semester |
| GS011033 |
Emerging Fields in Biochemistry and Molecular Biology: Introduction to Biostatistics and Clinical Trials |
Spring |
| GS041081 |
Stem Cells in Biomedicine |
Fall |
| GS041103 |
Principles of Therapeutics |
Spring |
| GS041213 |
Mechanisms in Cancer Therapeutics |
Fall |
| GS061103 |
Emerging Concepts in Immunology |
Fall |
| GS121164 |
Human Pathobiology |
Spring |
| GS131111 |
Case Studies in Drug Development |
Spring |
| GS211613 |
Translational Cancer Research |
Spring |
| PHM2745 |
Cancer Epidemiology |
Summer |
If you have any concerns regarding the current curriculum, do not hesitate to contact us at [email protected].