Job Title: Postdoctoral Fellowship – Global Patient Safety
Location: Indianapolis, Indiana, United States
Category: Research & Development / Pharmacovigilance / Machine Learning in Drug Safety
Job Type: Full-Time, Fixed Term (2 years, potential extension to 3 years)
Job ID: R-96121
Company Overview:
Lilly is a global healthcare leader headquartered in Indianapolis, Indiana, committed to improving patient outcomes worldwide. Our research and development teams discover and deliver innovative medicines to address complex diseases such as diabetes, neuroscience disorders, cancer, infectious diseases, and heart disease. Lilly fosters a collaborative environment for postdoctoral researchers to advance medical science while gaining industry experience.
Role Overview:
The Postdoctoral Fellow – Global Patient Safety will contribute to the advancement of machine learning (ML)–based methodologies for identifying risk factors associated with serious or rare adverse drug events. The initial focus is on neuroscience, with potential expansion across other therapeutic areas. This role provides unique opportunities to develop pharmacovigilance expertise, collaborate with interdisciplinary teams, and contribute to high-impact scientific publications.
Key Responsibilities:
1. ML-Based Risk Factor Modeling:
Develop and validate machine learning models to predict adverse events, treatment-related risks, and complications.
Apply advanced techniques such as ensemble methods, resampling strategies, cost-sensitive learning, and anomaly detection to improve rare event prediction.
Integrate patient histories, concomitant medications, imaging, and other clinical parameters to identify risk and protective factors.
2. Safety Surveillance Improvement:
Evaluate existing medical surveillance and signal management processes.
Recommend methodology enhancements to standardize and improve the accuracy of safety data review across products.
Support the assessment of benefit-risk profiles for investigational and marketed therapies.
3. External Scientific Communication:
Present research findings at conferences and publish in high-impact peer-reviewed journals.
Collaborate with Advanced Intelligence and other internal stakeholders to disseminate results effectively.
4. Internal and External Collaboration:
Work closely with Global Patient Safety, Medical, Statistics, and Regulatory teams.
Collaborate with early-phase medicine and business unit teams to inform protocol design and regulatory submissions.
Participate in external partnerships and initiatives to advance safety science.
5. Global Patient Safety Support:
Apply knowledge of global regulatory requirements and contribute to safety quality system documents and training.
Provide medical support to GPS safety teams and prepare for audits.
Champion innovative solutions to address unmet needs in clinical development safety assessment.
Minimum Qualifications:
Advanced analytical, statistical, bioinformatics, or medical-related graduate degree (Ph.D., PharmD).
Strong programming proficiency in Python and R, with experience in ML libraries such as scikit-learn, XGBoost, or TensorFlow.
Competency in independent data analysis, interpretation of clinical study results, and interdisciplinary statistical modeling.
Preferred Skills & Attributes:
Self-directed, highly motivated, and eager to pursue research and publication goals.
Excellent oral and written communication skills with experience presenting research findings.
Strong collaboration skills with the ability to work across internal teams and external scientific partners.
Prior experience in pharmacovigilance or drug safety is a plus but not required.
Compensation & Benefits:
Salary range: $58,000 – $123,200, depending on education and experience.
Eligibility for performance-based company bonus.
Comprehensive benefits including 401(k), pension, medical, dental, vision, flexible spending accounts, life insurance, paid time off, wellness programs, and employee engagement initiatives.
Work Environment & Duration:
Location: Indianapolis, Indiana (office-based; remote work not considered).
Duration: Fixed term of 2 years, with potential extension to 3 years.
Opportunities to apply for full-time roles at the end of the fellowship.
Equal Opportunity & Inclusion:
Lilly is an EEO employer, providing equal opportunities regardless of age, race, color, religion, gender identity, sexual orientation, genetic information, disability, or other legally protected status.
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