Rejniak Lab Jobs


Postdoctoral Research Fellow ~ Mathematical Immuno-Oncology: CURRENTLY FILLED

Applications are invited for a postdoctoral research position in the computational lab of Dr. Kasia Rejniak on a new exciting project funded by the NIH/NCI grant: “Mathematical Model-Guided Adoptive Immunotherapy in Bladder Cancer”.

This position can be filled immediately.

The adoptive immunotherapy has three main phases: (i) the autologous tumor infiltrating lymphocytes (TILs) must be able to infiltrate the tumor; (ii) after tumor resection, T cells must be expanded and activated ex vivo; and (iii) the expanded T cells must be reinfused into the cancer patient to exert effect on tumor. We will use mathematical modelling and simulation studies to optimize each of the three phases.

Our methods include microscopic (ABM) and macroscopic (ODEs) in silico models supported by in vitro, in vivo and ex vivo data, using defined T cells and murine models of bladder cancer that mimic clinically-relevant procedures.

We will (1) develop and validate an in silico model to enhance T cell infiltration into the bladder tumor; (2) predict in silico and validate in PDX models the methods to enhance T cell functionality; (3) optimize and validate combination schedules of adoptive T cell therapy in teh bladder cancer.

The Ideal Candidate:

  • Strong background in mathematical and computational methods for modeling biological systems (ODEs, PDEs, and/or ABMs).
  • Knowledge of modeling in immunotherapy or immunology is preferred.
  • Knowledge of optimization techniques is a plus.
  • High motivation, enthusiasm for working in an interdisciplinary team.

Rejniak Lab is a part of the Integrated Mathematical Oncology Department at the H. Lee Moffitt Cancer Center and Research Institute. More information about our lab and research can be found at:

How to Apply: Interested applicants should send a single PDF file that includes (1) a cover letter summarizing their research training and accomplishments, (2) a personal statement of scientific interests and goals, (3) current CV with recent publications and presentations, and (4) contact information for three references to Dr. Kasia Rejniak at and apply online (job number 84852) here.