Advancing today’s discoveries to improve health for all.

Information Session: Clinical and Translational Data Science Postdoctoral T32 Training Program

Next STEPP Clinical Research Summer Camp

Summer camp participants

Next STEPP Clinical Research Summer Camp

The Next STEPP Clinical Research Summer Camp is a collaborative, hands-on program designed to introduce high school students to clinical research through immersive activities, mentorship and career exploration. 

The Next STEPP (STEM, Technology and Educational Pathways Program) Clinical Research Summer Camp is a collaborative pilot initiative involving The Ohio State University Clinical and Translational Science Institute and College of Nursing, Columbus State Community College, in collaboration with Amgen, and Nationwide Children’s Hospital. The camp aimed to introduce high school students to clinical research through immersive, hands-on experiences and mentorship. Over four days, students engaged in activities such as developing study questions, practicing lab techniques, exploring pediatric research and presenting research posters. The camp emphasized informed consent, protocol development and career exploration, with professionals from various institutions participating in panel discussions.

  • 100 Applicants
  • 34 Accepted to the program
  • 33 Completed the program
  • $0 Cost to campers

“This camp was the best summer program I have ever attended. This camp is very unique as it exposes you to the process of clinical research in everything from being in the lab, creating protocols for studies, the drug development process and even practicing informed consent with potential participants. As someone who wants to go into the medical field, exploring and learning about the impact of clinical research has inspired me to continue exploring all opportunities that impact patient care. ”

Jayden, age 15, Upper Arlington High School

The pilot year of the Next STEPP summer camp was met with remarkable enthusiasm. Students expressed deep appreciation for the hands-on learning and mentorship, with some inspired to start a high school clinical research club. 

Students described the camp as “the best summer program I have ever attended,” emphasizing how rare and valuable hands-on educational experiences in clinical research are for high schoolers. Many students expressed that the camp deepened their interest in healthcare and clinical research. 

Pre- and post-camp assessments showed significant growth in students’ understanding of research concepts and processes. A toolkit to help replicate the camp is in progress and we are seeking additional sponsorship to expand the program, potentially into two cohorts. Future goals include securing funding and identifying sustainable scheduling and collaboration strategies to accommodate growth and maintain quality.

“The past couple of days have been so enlightening and mind opening to the world of clinical research. Before I came I was in the dark about what clinical research truly was, and now I can confidently say that I can take the skills I learned and put it into practice in the outside world.”

Sanidhya, age 16, Olentangy Berlin High School

“I learned many skills including how to write a study question and the steps in creating a clinical research trial. I also learned surprising information about the drug development process. I enjoyed working with my group to create our presentation.”

Ellen, age 15, Upper Arlington High School

Mentoring Better: How to Build a Lab While Incorporating Positive Mentorship

CTDS Postdoctoral T32 Training Program

Clinical and Translational Data Science (CTDS) Postdoctoral T32 Training Program

The CTDS postdoctoral T32 training program leverages the large, collaborative and multidisciplinary research environment at Ohio State to expand clinical and translational data science (CTDS) education and training across campus. The program aims to recruit and develop a cohort of trainees to become the next generation of clinical and translational data scientist leaders.

The T32 grant provides full-time research training support for postdoctoral trainees pursuing clinical and translational data science research. Trainees should expect to work on clinical and translation data science research across one or multiple of four key themes: Biostatistics and Population Health, Translational Genomics, Translational Pharmacology and AI in Digital Health. 

The overall goal of the postdoctoral T32 program is to prepare clinical and translational scientists and data scientists to be well equipped to serve as leaders in the burgeoning field of clinical and translational research. Eligible applicants must hold a doctoral degree and be either a U.S. citizen or permanent resident (green card holder). 

Key Dates and Deadlines

The CTDS postdoctoral T32 training program is part of the NIH Ruth L. Kirschstein National Research Service Award (NRSA) program, the goal of which is to help ensure that a pool of highly trained scientists are available in appropriate scientific disciplines to address the nation's biomedical, behavioral and clinical research needs. It is funded through a grant from the NIH National Center for Advancing Translational Sciences (NCATS).

CTDS Postdoc T32 Leadership

Kellie Archer, PhD

Kellie Archer

Lang Li, PhD

Lang Li headshot

Mitch Phelps, PhD

A mitochondrial-targeted gene therapy (mLumiOpto) for cancer treatment

Tools of the Trade: Clinical Research Resources from the Clinical and Translational Science Institute

Course Descriptions

Course Descriptions

Core Course

College of Public Health – Epidemiology

  • PUBHEPI 6412: Basic Principles in Clinical and Translational Science
    Identification of clinical and translational research issues, assessment of the literature, ethically responsible research, cross-disciplinary training and mentoring (2 credits).

 

Other Courses to Select From:

 

College of Arts and Sciences

  • EEOB 5510: Interdisciplinary Team Science

    Funding agencies worldwide are placing greater emphasis on interdisciplinary research. For example, the NSF has identified “Growing Convergence Research” as one of its 10 Big Ideas. True convergence research requires the development of interdisciplinary scientific teams (groups of 2 or more working collaboratively to solve a problem). However, graduate students are often siloed within programs and not necessarily trained to engage with others outside their field. This course aims to teach students the necessary skills to lead or participate in scientific or interdisciplinary teams (3 credits).

 

Graduate School

  • Graduate School 8000: Responsible Conduct of Research (Course ID 37106)

    This course was specifically designed to meet NIH requirements in RCR training. The course provides a practical overview of the rules, regulations and professional practices that define the responsible conduct of research. Covers all the topics required by the National Institutes of Health. The course features weekly facilitated discussions from experts across campus (1 Credit). Offered Spring term. Registration through BuckeyeLink.
     

College of Medicine

School of Health and Rehabilitation Sciences
 

  • HTHRHSC 7300: Management and Leadership in Health Sciences

    Application of management and leadership principles for the development of administration of allied health departments in the health care system (3 credits).
     
  • HTHRHSC 7350: Issues and Policy in Health Sciences

    Allied health professionals must increasingly face many complex issues that affect healthcare. It is crucial that graduate students be able to critically examine a broad range of issues and understand various positions and their implications (3 credits).
     
  • HTHRHSC 7883: Responsible Conduct of Research

    An exploration of the complications in conducting scientific research. Topics include authorship, human and animal subjects training, data acquisition and ownership and conflicts of interest (3 credits).
     
  • HTHRHSC 7574: Mixed Methods Approaches for Policy-Related Research

    Evaluate the strengths and weaknesses of various mixed method research designs and how to identify a design that is appropriate for your research question. The course will compare different paradigms, sample/case selection logics and types of evaluation associated with qualitative, quantitative and mixed methods research. Cross-listed in PubAfrs 7574 (3 credits).

 

Biomedical Science Graduate Program
 

  • BSGP 7070: Fundamentals of Grant Writing I

    Introduce students to the basic principles of grant writing (4 credits).
     
  • BSGP 7080: Fundamentals of Grant Writing II

    Introduce students to principles of grant writing. Students will also write their own grants in the style of NIH submissions. Students will also learn about the grant review process (2 credits).
     
  • BSGP 8050: Research Techniques and Resources

    Survey of research techniques used to solve problems in modern cell and molecular biology, immunology, biochemistry, microbiology, microscopy, laboratory safety and related available resources 
    (4 credits).

 

Biomedical Informatics
 

  • BMI 5710: Introduction to Biomedical Informatics

    A survey of biomedical informatics theories and methods employed in the design, implementation and management of information systems supporting basic science, clinical and translational research, clinical care and public health. Recommended course work in computer science, statistics, anatomy, physiology and medical terminology. Distance Learning (3 credits).
     
  • BMI 5750: Methods in Biomedical Informatics

    An intensive, application-oriented survey of methods used during the course of the design, implementation and evaluation of BMI platforms, including clinical info systems, decision support systems, databases, electronic data capture instruments, data visualization tools and other analytical "pipelines". These methods span a broad spectrum from information needs assessments to systems evaluation. Prereq: Basic knowledge of the following areas - basic computer science principles (logic, procedural and/or object oriented programming, data structures and algorithms), statistical methods and medical terminology. Distance Learning (3 credits).
     
  • BMI 8150: Rigorous and Reproducible Design and Data Analysis

    Students will learn to: computationally analyze datasets using best practices in experimental design and analysis; use the R language to analyze datasets from transcriptome, genome and clinical studies; use examples from experimental design literature that are rigorous and with built-in flaws; identify sources of bias and the impact these have on results/conclusions. This course is graded S/U (3 credits). Can be used for credit in Research Methods track or Analysis, Statistics and Informatics track, but not both.

 

College of Nursing

 

  • NURSING 6110: Health Literacy

    Examination and analysis of issues of low health literacy, including populations at risk, research, measurement tools, writing in plain language; health communication techniques; and organizational approaches (2 credits).
     
  • MCR 7404: Project Management for Healthcare and Clinical Research

    Principles of project management, strategic planning and leadership in healthcare, clinical research and regulatory settings. Distance Learning (3 credits) Summer. 
     
  • Nursing 7781: Responsible Conduct of Research

    Concepts and policies for the responsible conduct of research (RCOR), Institutional Review Boards and dissemination of findings. Distance Learning, face-to-face as needed (3 credits) Autumn/Spring.
     
  • MCR 7782: Clinical Research Design and Methods

    Study of research design and methods used in clinical and preclinical research. Measurement issues, bias and confounding, statistical considerations, evaluation of published clinical and preclinical research designs and protocol and proposal development. Autumn/Spring. Distance Learning (3 credits).

 

College of Pharmacy
 

  • PHR 5560: Success and Leadership in Pharmacy

    Explore the meaning of success and leadership, attributes of successful leaders and what can be done to be a successful leader (1.5 credits).
     
  • PHR 8520: Research Ethics

    Basic concepts of integrity in the process of research. The course fulfills NIH requirement for research ethics (1 credit).

 

College of Public Health – Biostatistics

 

  • PUBHBIO 5280: Introduction to Genomic Data Analysis

    Provides an in-depth analysis of a specific question to which genomic methods are applied. Intersperses experimental methods and statistical analysis of biological data. Some experience with programming is recommended (3 credits).
     
  • PUBHBIO 6210: Applied Biostatistics I

    Theory and application of basic statistical concepts for design of studies in health sciences, integrated with statistical software applications. Distance Learning (3 credits).
     
  • PUBHBIO 6211: Applied Biostatistics II

    A second course in applied biostatistical methods with an emphasis on regression methods commonly used in the health sciences. The focus is on linear regression and ANOVA. Integrated with the use of computer statistical packages. Distance Learning (3 credits).
     
  • PUBHBIO 7215: Design and Analysis of Clinical Trials

    Design, monitoring and analysis of clinical trials; includes protocol development, randomization schemes, sample size methods and ethical issues. Distance Learning (2 credits).

 

College of Public Health – Epidemiology

 

  • PUBHEPI 6412: Basic Principles in Clinical and Translational Science

    Identification of clinical and translational research issues, assessment of the literature, ethically responsible research, cross-disciplinary training and mentoring (2 credits).
     
  • PUBHEPI 6413: Conducting and Communicating Research in Clinical and Translational Science

    Design and writing of protocol, study methods and implementation, community engagement, informatics, translational teamwork. Scientific communication skills and dissemination of clinical and translational science (2 credits).
     
  • PUBHEPI 7412: Principles and Procedures for Human Clinical Trials

    Principles and procedures for clinical professionals in the design, conduct and analysis of human clinical trials (3 credits).

 

College of Public Health – Health Behavior and Health Promotion

 

  • PUBHHBP 6535: Community Engagement and Collaborative Community Problem-Solving

    This class provides the opportunity to review a number of concepts critical to collaborative community problem-solving. A broad range of literature will be reviewed and students will have the opportunity to experience several simulated processes unique to the collaborative problem-solving process. Distance Learning (3 credits).
     
  • PUBHHBP 7520: Community Health Assessment

    Models of community health assessment; skills in identifying, analyzing and integrating information concerning community resources and needs (2 credits).
     
  • PUBHHBP 7522: Program Planning and Implementation

    Planning and implementation of programs to address public health issues in defined populations; development of a health promotion program for a specific community partner (3 credits).
     
  • PUBHHBP 7534: Research Methods in Health Behavior and Health Promotion

    Social science research methods emphasizing methods used to assess the dimensions of health-relevant behaviors and community-based prevention research (3 credits).
     
  • PUBHHBP 6558: Policy as a Prevention Strategy

    This course will prepare graduate students on the key elements of how policy can be used as an intervention to promote primary, secondary and tertiary prevention. Course activities will build skills for the evaluation of when policy is an appropriate strategy and how to prepare a policy brief on a formal policy issue that impacts population health (2 credits).

 

College of Public Health – Health Services Management and Policy
 

  • PUBHHMP 7617: Health Services Leadership and Organizational Change

    Overview of leadership and organizational change theories, as well as the application of those theories to case studies in health sector organizations (3 credits).
     
  • PUBHHMP 8671: Health Care Outcomes Measurement

    Evaluation of specific techniques for measuring outcomes in clinical and health services research studies
    (2 credits).

 

John Glenn School of Public Affairs
 

  • PUBAFRS 6000: Public Policy Formulation and Implementation

    Overview of the public policy process and the historical and contemporary context in which policy making and implementation are carried out in the United States at the federal, state and local levels. Distance Learning (4 credits).
     
  • PUBAFRS 7572: Policy Simulation and Modeling

    Introduction to the development of conceptual and data models for public policy analysis including hands-on experience with using simulations tools for agent-based and system dynamics modeling (3 credits).

 

Psychology

 

  • PSYCH 6810: Statistical Methods in Psychology I

    Basic concepts of descriptive and inferential statistics; includes estimation, hypothesis testing, non-parametric techniques and analysis of variance (4 credits).
     
  • PSYCH 6811: Statistical Methods in Psychology II

    Simple linear regression and correlation, multiple linear regression, interactions; introduction to other related methods such as nonlinear regression and random effects models (4 credits).

 

College of Social Work

 

  • SOCWORK 8406: Mixed Methods Research in Social and Health Sciences

    Course provides an overview of mixed methods approaches, with an emphasis on application to social and health sciences research. Discusses the history and philosophy underlying mixed methods research with a focus on the epistemological underpinnings of mixed methods designs and their components. Research traditions incorporated under the umbrellas of quantitative/qualitative methods are considered (3 credits).

 

Statistics

 

  • STAT 5301: Intermediate Data Analysis I

    The first course in a two-semester non-calculus sequence in data analysis covering descriptive statistics, design of experiments, probability, statistical inference, one-sample t, goodness of fit, two sample problem and one-way ANOVA (4 credits).
     
  • STAT 8783: Intermediate Data Analysis II

    The second course in a two-semester sequence in data analysis covering simple linear regression (inference, model diagnostics), multiple regression models, variable selection, model selection, two-way ANOVA, mixed effects model (3 credits).

 

College of Veterinary Medicine

 

  • VETCLIN 8781: Research Methods and Grantsmanship

    Introduction to grantsmanship, including the development of a research question, use of appropriate statistical methods and the preparation of a research proposal that will be reviewed by the class (1 credit).
     
  • VETCLIN 8783: Experimental Design and Data Analysis in Veterinary and Comparative Medicine I

    Principles and practice of study designs and data analyses commonly used in veterinary and comparative medical research (1 credit).
     
  • VETCLIN 8784: Experimental Design and Data Analysis in Veterinary and Comparative Medicine II

    Introduction to the principles and practice of study designs and data analyses commonly used in veterinary and comparative medical research (1 credit).

 

Vision Science

 

  • VISSCI 7960: Ethics in Biomedical Research

    Provides a general understanding of the issues surrounding the ethical conduct of science including issues related to research involving human subjects, scientific misconduct and authorship of scientific papers. Real-life case studies will be used (2 credits).
     
  • VISSCI 7970: Grantsmanship

    The structure of the National Institutes of Health, the principles of good grantsmanship and description of the grant review process. Emphasis focused on Mentored Clinical Scientist Development Award (K23) and Research Project Grant (R01) (2 credits).
     
  • VISSCI 7940: Oral Presentation of Scientific Research

    Student gives a talk based on his/her research or scholarship and improves his/her speaking skills
    (1-3 credits).

Courses Available

Advising Sheet for Biomedical, Clinical and Translational Science Interdisciplinary Specialization

The information below will help you identify the courses that will fulfill the thematic requirements of the BCTS-IS and meet the interdisciplinary requirements from the Graduate School for Interdisciplinary Specializations.

Courses for the BCTS-IS

Core CourseProgramCredits
PUPHEPI 6412Public Health - epidemiology  2

 

You will also need to fulfill courses from each of the following the Thematic Tracks:

  • Research Methods Track
  • Analysis, Stats and Informatics Track
  • Community and Communication Track
  • Leadership and Training Track

Additional IS Guidelines from Graduate School:

  • 10 to no more than 20 hours
  • Two or more grad programs outside home program
  • Nine credit hours outside home program in at least three courses
Research MethodsAnalysis, Statistics and InformaticsCommunity and CommunicationLeadership and Training
BSGP 8050: Research Techniques and Resources
(4 credits)
PUBHBIO 6210: Applied Biostatistics I
(3 credits) DL
BSGP 7070: Fundamentals of Grant Writing I
(4 credits)
EEOB 5510: Interdisciplinary
Team Science
(3 credits)
MCR 7782: Clinical Research
Design and Methods
(3 credits) DL
PUBHBIO 6211: Applied Biostatistics II
(3 credits) DL
BSGP 7080: Fundamentals of Grant Writing II
(2 credits)
HTHRHSC 7300: Management
and Leadership in Health
Sciences
(3 credits)
PUBHEPI 7412: Principles
and Procedures for Human 
Clinical Trials
(3 credits)
PSYCH 6810: Statistical
Methods in Psychology I
(4 credits)
Nursing 6110: Health Literacy
(2 credits)
HTHRHSC 7350: Issues and Policy in Health Sciences
(3 credits)
PUBHHBP 7534: Research Methods in Health Behavior
and Health Promotion
(3 credits)
PSYCH6811: Statistical Methods in Psychology II
(4 credits)
PUBHHBP 7520: Community Health Assessment
(2 credits)
MCR 7404: Project Management for Healthcare
and Clinical Research
(3 credits) DL
HTHRHSC 7574: Mixed
Methods Approaches for
Policy-Related Research
(3 credits)
STAT 5301: Intermediate Data Analysis I (4 credits)PUBHHBP 6535: Community Engagement and Collaborative Community Problem-Solving
(3 credits) DL
PHR5560: Success and Leadership in Pharmacy
(1.5 credits)
SOCWORK 8406: Mixed
Methods Research in
Social and Health Sciences
(3 credits) DE
STAT 5302: Intermediate Data Analysis II
(3 credits)
PUBHEPI 6413: Conducting and Communicating Research in Clinical and Translational Science
(2 credits)
PUBHHBP: Policy as a Prevention Strategy
(2 credits)
PUBHBIO 7215: Design and Analysis of Clinical Trials
(2 credits) DL
VETCLIN 8783: Experimental Design and Data Analysis in Veterinary and Comparative Medicine I
(1 credit)
VETCLIN 8781: Research Methods and Grantsmanship
(1 credit)
PUBHHMP 7617: Health Services Leadership and
Organizational Change
(3 credits)
PUBHHBP 7522: 
Program Planning and Implementation
(3 credits)
VETCLIN 8784: Experimental Design and Data Analysis in Veterinary and Comparative Medicine II
(1 credit)
VISSCI 7940: Oral Presentation of Scientific Research
(1-3 credits)
PUBAFRS 6000: Public
Policy Formulation and
Implementation
(4 credits) DL
PUBHHMP 8671:
Health Care Outcomes 
Measurement
(2 credits)
PUBHBIO 5280: Introduction to Genomic Data Analysis
(3 credits)
VISSCI 7970: Grantsmanship
(2 credits)
PUBAFRS 7572: Policy Simulation and Modeling
(3 credits)
HTHRHSC 7883: Responsible Conduct of Research
(3 credits)
BMI 5710: Introduction to Biometrical informatics
(3 credits) DL
  
PHR 8520: Research Ethics
(1 credit)
BMI 5750: Methods in Biomedical Informatics
(3 credits) DL
  
VISSCI 7960: Ethics in Biomedical Research
(2 credits)
GRADSCH 8000: Responsible Conduct of Research
(1 credit)
  
NURSING 7781: Responsible Conduct of Research
(3 credits) DL
BMI 8150: Rigorous and Reproducible Design and Data Analysis
(3 credits) Can be used either for Methods or Analysis
  
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