Research Associate

Temple University • Philadelphia, PA

1d • Onsite

About The Position

The Boni research group, based at the Institute for Genomics and Evolutionary Medicine (IGEM) in the Department of Biology at Temple University’s School of Science & Technology, is looking to hire a Research Associate with interest in addressing the need for global health planning for the recent malaria emergence.
The Boni research group is focused on mathematical modeling of response strategies to the current urgent problem in Africa of responding to the recent (2020-2021) emergence of artemisinin resistance on the continent. These mathematical models are used to evaluate different response strategies when drug resistance levels are too high. Our research group is currently building national-level mathematical models of malaria transmission for five African countries to forecast their drug-resistance situations several years into the future.
The Research Associate will play a vital role in assembling data for different countries’ epidemiological and drug-resistance situations, parameterization of country-level scenarios with all the assembled data and building and/or visualizing additional models to make near-term and long-term malaria forecasts. Perform other duties as assigned.
This is a grant funded position.

Requirements

• Bachelor’s degree in biology or any computational field like statistics, applied math, data science, or computer science (or other relevant field) and at least 3 years of related research experience. An equivalent combination of education and experience may be considered.
• Ability to demonstrate knowledge of computational epidemiology, individua lbased simulation, spatial modeling of epidemics and other geospatial software.
• Ability to show proficiency in data management.
• Ability to exhibit attention to detail and manage several complex tasks simultaneously.

Nice To Haves

• Experience in scientific language and computational tools like R, Python, MATLAB and/or C++ Familiar with computational methods in the techniques or simulations.
• Experience in an academic research environment.

Responsibilities

• Assembling data for different countries’ epidemiological and drug-resistance situations
• Parameterization of country-level scenarios with all the assembled data
• Building and/or visualizing additional models to make near-term and long-term malaria forecasts
• Perform other duties as assigned.

Benefits

• Full medical, dental, vision coverage
• Paid time off
• 11 Paid Holidays (including the day after Thanksgiving & winter break)
• Tuition remission - eligible employees and their dependents can obtain a degree TUITION FREE
• A generous retirement plan

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level