Post Doctoral Fellowship: Global Patient Safety
$58k/y-$123.2k/y
BioSpace2 days ago
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OnsiteFull-timeEntry
Summary
BioSpace is seeking a Post Doctoral Fellow in Global Patient Safety to join their team in Indianapolis, IN. The role involves utilizing machine learning techniques to investigate risk factors associated with drug adverse events.
About the Role
As a Post Doctoral Fellow, you will develop and validate machine learning models to predict safety outcomes in the medical domain, present findings at conferences, and collaborate with internal and external partners to enhance safety data analysis. You will also support the Global Patient Safety Medical organization in characterizing and communicating the safety profile of Lilly medicines.
About You
Required:
- An advanced analytical, statistical, bioinformatics, or medical-related graduate degree (Ph.D., PharmD).
- Competency in independent analysis of data and interpretation of results from clinical studies.
Preferred:
- Excellent computer skills and interdisciplinary experience in statistical modeling and computer sciences, including machine learning.
- Proficiency in programming languages including Python and R with experience using key machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow).
- Excellent communication (oral and written), presentation experience, and strong publication record.
Benefits
- Comprehensive benefits package including medical, dental, vision, and prescription drug benefits.
- Eligibility to participate in a company-sponsored 401(k) and pension.
- Vacation benefits and well-being benefits such as employee assistance programs and fitness benefits.
BioSpace
BioSpace is the digital hub for life science news and jobs. We provide essential insights, opportunities and tools to connect innovative organizations and talented professionals who advance health and quality of life across the globe.
Indianapolis, IN