Eli Lilly and Company · 2 hours ago
Post Doctoral Fellowship: Global Patient Safety
Eli Lilly and Company is a global healthcare leader dedicated to improving lives through innovative medicines. They are seeking an ambitious post-doctoral scientist to advance machine learning approaches for identifying risk factors associated with drug safety topics, particularly in neuroscience. The role involves developing ML models, collaborating with various teams, and contributing to safety data analysis and communication efforts.
BiotechnologyHealth CareMedicalPharmaceutical
Responsibilities
Develop and validate ML models to predict safety outcomes in the medical domain including adverse events, complications, or treatment-related risks by identifying risk factors such as patient histories, concomitant medications, imaging, and other clinical parameters
Employ advanced techniques including ensemble methods, resampling strategies, cost-sensitive learning, and anomaly detection to address rare event prediction and improve model robustness
Present findings at conferences and publish in high-impact peer-reviewed journals
Understand current medical surveillance and signal management processes
Leverage enhanced understanding of adverse events of special interest for Lilly medicines to explore improvements to routine medical surveillance
Make recommendations on integration and standardization of new methodologies into existing safety data analysis platforms and processes to improve consistency and accuracy of data review across Lilly products
Communicate effectively with relevant internal business partners
Collaborate with early phase medicine and business unit teams and Regulatory Scientists as part of issue management and in preparation of responses to requests made by regulatory authorities
Share findings and collaborate on methodologies with Advanced Intelligence
Collaborate with external partners and participate in key external initiatives to benefit the organization
Demonstrate knowledge of relevant global regulatory requirements and practices
Act as subject matter expert in the development and maintenance of safety quality system documents and training tools
Provide medical support to GPS safety teams
Demonstrate understanding of the roles and responsibility of the EU QPPV
Support audit readiness
Identify areas of key need across clinical development and champion creative solutions to address those needs
Qualification
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
Excellent computer skills and interdisciplinary experience in statistical modeling and computer sciences, including ML
Proficiency in programming languages including Python and R with experience using key ML libraries (e.g., scikit-learn, XGBoost, TensorFlow)
Self-directed and highly motivated nature with a desire to learn new techniques while continually pursuing research and publication goals
Excellent communication (oral and written), presentation experience, and strong publication record
Proficiency in data analysis and reporting
Preferred
Experience in drug safety is not required
Benefits
Company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision and prescription drug benefits
Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Company
Eli Lilly and Company
We're a medicine company turning science into healing to make life better for people around the world.
H1B Sponsorship
Eli Lilly and Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (514)
2024 (236)
2023 (167)
2022 (133)
2021 (57)
2020 (52)
Funding
Current Stage
Public CompanyTotal Funding
$6.5M2024-02-12Post Ipo Debt· $6.5M
1978-01-13IPO
Leadership Team
Recent News
2025-12-30
2025-12-30
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