Data Scientist – Technical Services & Manufacturing Sciences
Eli Lilly and CompanyMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 pharma brand, generic Data Scientist title, mid-level range and Hyderabad metro increase competition.
Strong preference for pharmaceutical manufacturing, GMP experience and process-monitoring domain makes cross-industry fit limited.
Explicit 5–18 years requirement plus mandatory pharmaceutical GMP, analytics, and domain-specific tools increases filtering.
Job Description
Structured overview of role & requirementsAbout 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.