Company Overview
Lilly, a leading innovation-driven corporation is developing a growing portfolio of pharmaceutical products by applying the latest research from its own worldwide laboratories and from collaborations with eminent scientific organizations. Headquartered in Indianapolis, Indiana, Lilly makes life better – through medicines and information – for some of the world’s most urgent medical needs. Founded over 145 years ago, the company has sustained a culture that values excellence, integrity and respect for people. This has resulted in Lilly frequently being ranked as one of the best companies in the world at which to work. Lilly knows its business has prospered because of its employees – people with a talent for innovation and a passion for making a difference by finding treatments for the most stubborn diseases; people whose talent is matched by their generosity, and people with strong values and a determination to prevail, regardless of the challenges. Join our team – and make a difference in improving health for people all over the world!
Manufacturing and Quality Technical Hub Hyderabad
Lilly has made a strategic investment of more than $1B dollars to establish a Manufacturing and Quality technical hub. This hub will oversee the significant investment in contract manufacturing of starting materials and intermediates for API manufacturing in India and the technical services responsible for managing the scientific agenda for manufacturing and quality. The hub will be recruiting top talent in the areas of process engineering, chemistry, analytical and data sciences to build a cutting-edge scientific organization supporting the exciting manufacturing portfolio of Lilly.
Role Overview:
The Data Scientist – TSMS is responsible for delivering advanced analytics, predictive modelling, and digital innovation to support manufacturing and development processes across pharmaceutical operations. This role enables data-driven decision-making, process optimization, and compliance by partnering with global teams, site SMEs, and IT/digital functions. The Data Scientist manages analytics solution delivery, supports digital transformation, and ensures alignment with regulatory and business objectives.
Key Responsibilities:
Build, validate, and maintain multivariate statistical models (e.g., PCA/PLS) for real-time process monitoring
Lead development and deployment of predictive models and multivariate analytics for process monitoring, anomaly detection, and performance optimization
Collaborate with cross-functional teams (manufacturing, R&D, quality, IT) to design and implement data-driven solutions
Work with Information Technology teams at Lilly to deliver secure, scalable analytics products (dashboards, data products, model services) and manage project interdependencies
Support integration and harmonization of data across PLM, MES, LIMS, ERP, and analytics platforms
Ensure data quality, integrity, and compliance with GMP and regulatory standards
Facilitate knowledge transfer, training, and adoption of analytics solutions across global teams
Track and report analytics project progress, risks, and outcomes to leadership and stakeholders
Partner with technical teams to resolve data gaps, inconsistencies, and support validation activities
Leverage data visualization and reporting tools (Power BI, Tableau, Seeq) for actionable insights
Identify and implement process improvements and automation opportunities for digital transformation
Maintain documentation, best practices, and knowledge repositories for analytics solutions
Monitor adoption KPIs, gather user feedback, and drive continuous improvement in analytics capabilities
Required Skills and Experience
Technical and Functional Skills:
Proficient in statistical modeling, machine learning, coding languages, and predictive analytics (Python, R, SIMCA, JMP)
Experienced in data integration, data quality assurance, and digital solution delivery
Skilled in data visualization and reporting (Power BI, Tableau, Smartsheet)
Knowledgeable in GMP, data integrity, and regulatory compliance.
Experience working in Pharmaceutical manufacturing, Research & Development or other similar scientific environments
Strong problem-solving, analytical, and detail-oriented mindset
Effective communicator with experience working in global, cross-functional teams
Ability to communicate complex insights to both technical and non-technical stakeholders
Change-oriented and proactive in driving digital transformation
Practical problem-solver who can work independently and within cross-functional teams; skilled at stakeholder management and communication
Familiarity with cloud analytics (Azure/AWS), data pipelines, and APIs; experience with NLP for unstructured manufacturing knowledge is a plus
Education & Experience:
Master’s or Ph.D. in Data Science, Statistics, Engineering, Life Sciences, or related field
5+ years of experience in data science, analytics, or digital deployment in pharmaceutical or life sciences industry
Experience in pharmaceutical GMP operations and TSMS or process development; strong understanding of manufacturing unit operations and process monitoring concepts
Additional Information:
