Data Scientist – Technical Services & Manufacturing Sciences
Eli Lilly and Company (company site, opens in a new tab)5–18 yrsHyderabadOn-siteDirect career pageEst. 20–40 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy multivariate statistical and predictive models for real-time process monitoring and anomaly detection in pharmaceutical manufacturing.
- Collaborate with cross-functional teams including manufacturing, R&D, quality, and IT to implement data-driven solutions and support digital transformation.
- Ensure data quality, regulatory compliance, and manage analytics projects, including reporting progress and outcomes to leadership.
Minimum Requirements
- Master's or Ph.D. in Data Science, Statistics, Engineering, Life Sciences, or related field.
- 5-18 years of experience in data science, analytics, or digital deployment within pharmaceutical or life sciences industry.
- Experience in pharmaceutical GMP operations and Technical Services & Manufacturing Sciences or process development with understanding of manufacturing unit operations.
- Proficiency in statistical modeling, machine learning, Python, R, SIMCA, JMP, and data visualization tools like Power BI or Tableau.
Ideal Candidate Profile
- Experienced in delivering scalable analytics products and managing cross-functional stakeholder relationships in global pharmaceutical manufacturing environments.
- Skilled in data integration, quality assurance, and compliance within GMP-regulated settings.
- Capable of leading digital transformation initiatives through practical problem-solving and effective communication to technical and non-technical stakeholders.