Two Postdoctoral Fellowships on Mathematical Immunology

United States MD Silver Spring


Two research opportunities are currently available in the Office of Biostatistics and Epidemiology (OBE) at the Center for Biologics Evaluation and Research (CBER), Food and Drug Administration (FDA) in Silver Spring, Maryland.

The selected participant will be involved in the development of quantitative models to simulate and predict human immune responses to biologics such as vaccines and cancer immunotherapies. The end goal of this project is the development of computational tools to enhance efficacy and safety evaluation of vaccines, current and next-generation of engineered therapeutic products, leading to personalized and optimal treatment regimens for patients. Under the guidance of a mentor, the participant will develop and apply novel techniques to model and simulate interactive cellular and molecular components of human immune system. The activities include literature reviews, data collection/curation, model development, presentation of research results, and preparation of scientific manuscripts.

Representative Manuscripts:
• Huang, Yin, et al. "Assessment of risk of variant creutzfeldt‐Jakob disease (vCJD) from use of bovine heparin." Pharmacoepidemiology and drug safety 29.5 (2020): 575-581.
• Nukala, Ujwani, et al. "A Systematic Review of the Efforts and Hindrances of Modeling and Simulation of CAR T-cell Therapy." The AAPS Journal 23.3 (2021): 1-20.
• Yogurtcu, Osman N., et al. "A Quantitative Evaluation of COVID-19 Epidemiological Models." medRxiv (2021).
• Messan, Marisabel Rodriguez, et al. "Mathematical Model of a Personalized Neoantigen Cancer Vaccine and the Human Immune System: Evaluation of Efficacy." PLoS Comp Bio (2021).
• Yogurtcu, Osman N., et al. "TCPro: an in Silico risk assessment tool for biotherapeutic protein immunogenicity." The AAPS journal 21.5 (2019): 1-12.
• McGill, Joseph R., et al. "SampPick: Selection of a cohort of subjects matching a population HLA distribution." Frontiers in immunology 10 (2019): 2894.


The qualified candidate should have received a doctoral degree in one of the relevant fields, or be currently pursuing the degree with completion by June 1, 2022. Degree must have been received within the past five years.

Preferred skills/experience:
• Knowledge of immunology, mathematical/statistical modeling and programming skills
• Experience with differential equations
• Excellent written and oral communication skills
• Solid background and skills in biology and computing science

Start date

As soon as possible

How to Apply

Apply at:
A complete application consists of:
• An application
• Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal institution systems may be submitted. All transcripts must be in English or include an official English translation. Click here for detailed information about acceptable transcripts.
• A current resume/CV, including academic history, employment history, relevant experiences, and publication list
• One educational or professional recommendation
All documents must be in English or include an official English translation.