Job Description
Job Type
Full-time
Description
Description: We are looking for a motivated individual with interest in infectious disease research to join our group at TxBiomed ( ). The assistant will be the key scientist for analysis of imaging data coming from PET/CT measurements, primarily, of lungs of Mtb-infected monkeys. The major responsibility will be to analyze data generated after analysis of PET/CT images and build predictive models of how PET/CT signal details correlate with progression of Mtb-infected monkeys to tuberculosis (or control of the infection). The expectation is that these models will involve some basic and advanced statistical methods including machine learning. Other projects may also involve mathematical modeling of within-host Mtb dynamics, dynamics of immune responses using different approaches such as differential equations, stochastic simulations, etc.
Responsibilities: •Learn about the methods of how PET/CT imaging data are generated and processed.
•Compile the generated data and perform analyses, including with machine learning, to identify features of the granulomas predicting protection or disease progression of Mtb-infected monkeys.
•Participate in other projects in the lab, including development and analysis of mathematical models in immunology.
•Teach and supervise other researchers at imaging data analysis.
•Write summary reports and participate in writing papers and grants.
Our Ideal Candidate :
A highly motivated individual with a bachelor's degree. Some experience in computational biology research is preferable. Strong background in programming in Python/R/Julia or similar higher-level languages is required. Knowledge about data analysis methods including machine learning is a plus. An interest in biology, microbiology, or immunology and some experience in working with imaging data is also a plus.
Working Environment: The work will be primarily computer-based and will involve analysis of experimental data coming from imaging experiments, specifically PET/CT imaging technology. Currently, our imaging data come from collaborations with several groups are focused on 1) understanding how Mtb disseminates in the lung and systemically, 2) how Mtb causes disease in infected animals. Participation in other projects in the lab, involving imaging data analysis/modeling and/or other important biological questions addressed using computational modeling will be also highly encouraged. In our laboratory we perform computational biology research whereby we built mathematical models of different phenomena in immunology and test these models using experimental data. Analysis of experimental data and fitting mathematical models to data are the key components of the research in our lab. The main directions of the research in the lab are focused on the following: 1) mathematical modeling of Mycobacterium tuberculosis dynamics and dissemination in the lung and beyond, 2) mathematical modeling of within-host dynamics of malaria including infection of skin with Plasmodium sporozoites and control of infection in the liver by CD8 T cells, 3) mathematical modeling of lymphocyte recirculation in the whole body, and 4) mathematical modeling of T cell and antibody responses to infections and vaccinations. develop new directions of research in the lab.
Who We Are :
Texas Biomedical Research Institute is one of the world's leading independent biomedical research institutions dedicated to advancing global human health through innovative biomedical research. Texas Biomed aims to unravel the mysteries of infectious diseases through innovative thinking, creative problem solving and cutting-edge technologies. The Southwest National Primate Research Center (SNPRC) provides broad services in primate research. We are one of seven National Primate Research Centers (NPRCs) with specialized technologies, capabilities and primate resources, many of which are unique to the SNPRC.
What We Can Offer You :
•Competitive pay
•7% Employer-Funded retirement contribution starting day one
•Full insurance benefits
•Holidays, PTO and a paid week off in the last week of December
•We are proud of our commitment to Diversity, Equity, Inclusion and Belonging!
Texas Biomedical Research Institute provides equal employment opportunities for all qualified employees and applicants without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.
For inquiries, contact Vitaly Ganusov at vganusov@txtbiomed.org
VITALY V. GANUSOV, PH.D. Lab:
Job Tags
Holiday work, Full time,