Postdoctoral Research Associate (Data Scientist) - Meyer Lab

St. Jude Children's Research Hospital • Memphis, TN

2d • Onsite

About The Position

A data science postdoctoral research associate position is available in the lab of Dr. Christian Meyer The Meyer Lab in the Department of Pharmacy and Pharmaceutical Sciences at St. Jude Children’s Research Hospital is currently recruiting a Postdoctoral Researcher to join our team in reimagining how we discover and deploy drug combinations in the clinic. Our work is highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex biological systems, with a particular focus on infectious disease and cancer. Candidates with experience in developing machine learning or mathematical models are particularly encouraged to apply. We are seeking highly motivated, creative scientists who are willing to take intellectual risks to shape the future of combination therapy, thereby contributing to the institution’s goal of developing cures for catastrophic childhood diseases. This position offers access to state-of-the-art computation resources available at St. Jude (HPC environment with 5.3 PFLOPS of power and 150 PB of storage capacity, link 1 below). St. Jude offers highly competitive salaries (typically 20–25% above NIH guidelines) in a low-cost-of-living city, along with comprehensive benefits and robust support for professional development. For more information on living in Memphis, visit St. Jude’s Visiting Memphis webpage (link 2 below). This position is full-time, in person at the main campus in Memphis, TN.

Requirements

• A Ph.D. in bioinformatics, computational biology, mathematics, biomedical engineering, or a related field.
• Experience with coding software such as Python, R, or Matlab.
• Familiarity with collaborative coding software such as GitHub and database management.
• An ambition to make major contributions to the field of systems pharmacology by driving an independent research project
• Strong communication skills and a desire to work in a team-oriented, interdisciplinary environment

Nice To Haves

• Candidates with experience in developing machine learning or mathematical models are particularly encouraged to apply.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees