Research Assistant: Malaria Modeling & Global Health Data

Temple University; Philadelphia (Philadelphia County); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Full medical, dental, vision coverage

Paid time off

11 Paid Holidays

Tuition remission

Generous retirement plan

Job summary

Temple University in Philadelphia is seeking a Research Assistant to join the College of Science & Technology. The role involves performing research on mathematical modeling concerning malaria response strategies, particularly in relation to drug resistance emerging in Africa. Responsibilities also include data assembly for various countries and building predictive models.

The ideal candidate will hold a Bachelor's degree in biology or a computational field, along with experience in relevant research. Strong communication skills and expertise in tools such as R and Python are essential. This position offers a range of benefits including full medical coverage and tuition remission.

Qualifications

• Competence in scientific language and computational tools like R and Python.
• Strong interest in applied global health work.
• Proficiency in data management.
• Strong attention to detail.
• Ability to communicate well and use social media platforms.

Responsibilities

• Perform research focused on mathematical modeling of drug resistance.
• Assemble data for different countries' epidemiological situations.
• Parameterize country-level scenarios using assembled data.
• Build and visualize models for malaria forecasts.

Skills

Competence in scientific language and computational tools like R and Python

Strong interest in applied global health work

Proficiency in data management

Strong attention to detail

Ability to communicate well and use social media platforms

Education

Bachelor's degree in biology or relevant computational field

Job description

Temple University in Philadelphia is seeking a Research Assistant to join the College of Science & Technology. The role involves performing research on mathematical modeling concerning malaria response strategies, particularly in relation to drug resistance emerging in Africa. Responsibilities also include data assembly for various countries and building predictive models.

The ideal candidate will hold a Bachelor's degree in biology or a computational field, along with experience in relevant research. Strong communication skills and expertise in tools such as R and Python are essential. This position offers a range of benefits including full medical coverage and tuition remission.