PHARMAFull-time
Development Analytical Reporting Lead
By Admin · Research & Development (Lab & Science)
HYDERABAD (IN)ONSITEPOSTED: 9/3/2026
PHARMAFull-time
HIRING ORGANIZATIONAMGENBiotechnology / Pharmaceuticals
ROLE DEFINITION & RESPONSIBILITIES
Role Overview
Provide strategic and organizational leadership for clinical analytical reporting, data-review technology, and data-product capabilities across Global Development.
Lead multiple teams or workstreams and establish multi-year capability and technology roadmaps.
Govern the analytical reporting portfolio and influence enterprise data and digital decisions while maintaining technical credibility through leadership, strategic partnerships, and portfolio-level decisions.
Technical Leadership & Solution Delivery
Lead end-to-end design, development, and support of complex patient-, study-, program-, and portfolio-level reports, dashboards, visualizations, and advanced data-review tools.
Define technical approaches, solution architectures, data flows, reusable components, development standards, and testing strategies for assigned initiatives.
Lead curation, integration, and transformation of EDC and approved external clinical data into trusted, analysis-ready datasets with clear lineage, quality controls, and fit-for-purpose semantic definitions.
Develop and evaluate anomaly-detection, pattern-recognition, automation, and advanced analytical approaches, ensuring outputs are interpretable, validated, and appropriately reviewed by subject-matter experts.
Apply approved technologies and visualization platforms including SAS, SQL, Python, R, Databricks, Power BI, Spotfire, and Tableau, selecting solutions according to business needs and governed architecture.
Delivery Leadership & Stakeholder Partnership
Translate complex review requirements from Data Management, Medical Data Review, Safety, Clinical Operations, Biostatistics, Clinical Systems, and Digital Technology into requirements, solution designs, and prioritized delivery plans.
Act as technical lead for defined studies, programs, or capability initiatives.
Manage dependencies, risks, estimates, delivery milestones, and stakeholder status communications.
Mentor associate and senior programmers through design reviews, code reviews, troubleshooting, and technical coaching without direct people-management accountability.
Lead vendor or external-resource technical activities when assigned, including work review, UAT coordination, and deliverable acceptance.
Quality, Governance & Innovation
Establish and apply risk-based quality controls covering data preparation, programming, visual design, testing, release, and maintenance.
Ensure traceability and inspection readiness.
Contribute to standards, SOPs, work instructions, reusable assets, and governance forums for analytical reporting and clinical data review.
Partner with architecture and platform teams to improve scalability, performance, privacy, security, access controls, and controlled deployment of reporting solutions.
Identify and pilot high-value improvements in automation, AI-enabled analytics, and visualization.
Recommend scaling innovations only when value, validation, and governance requirements are satisfied.
Basic Qualifications
Bachelor's degree in life sciences, computer science, data science, statistics, bioinformatics, health informatics, engineering, or a related discipline plus 10+ years of relevant experience; OR Master's degree plus 8+ years; OR Doctorate plus 5+ years.
Demonstrated experience designing and delivering clinical reports, dashboards, visualizations, analytical datasets, or data-review solutions in pharmaceutical, biotechnology, CRO, or closely related regulated environments.
Preferred Qualifications
Advanced SQL proficiency and programming expertise in Python, SAS, or R, plus experience with enterprise visualization platforms.
Experience with clinical data models, EDC and external clinical data, CDISC standards, data lineage, metadata-driven development, and regulated-system validation.
Experience applying statistical, anomaly-detection, machine-learning, or automation methods to clinical data with appropriate validation and human oversight.
Demonstrated technical leadership across cross-functional initiatives, including design authority, mentoring, and management of complex delivery risks.
Inclusion & Accessibility
Amgen is an equal-opportunity employer.
Reasonable accommodation is available for qualified individuals with disabilities during application, interviewing, and employment processes.
REQUIRED VERIFIED SKILLS
Clinical Reporting
Clinical Data Review
SQL
SAS
Python
R
Data Visualization
Analytical Datasets
EDC
Clinical Data Models
Data Integration
Data Transformation
Data Lineage
CDISC
Regulated-System Validation
Data Quality Controls
Programming
Dashboard Development
Solution Architecture
Testing Strategies
COMPENSATION & REWARDS
Salary: Competitive / Disclosed upon candidate shortlisting
The official Amgen posting does not disclose a salary range, bonus target, or specific numerical compensation figure. Because the role requires 10+ years with a bachelor's degree, 8+ years with a master's degree, or 5+ years with a doctorate, it is positioned as a highly experienced technical leadership role. Candidates should evaluate the complete Amgen compensation package, including fixed compensation, applicable performance incentives, benefits, retirement-related offerings, and other employee rewards rather than assuming a salary figure.
ORGANIZATION CONTEXT & CULTURE
Amgen is a leading global biopharmaceutical company committed to unlocking the potential of biology for patients suffering from serious illnesses. It discovers, develops, manufactures, and delivers innovative human therapeutics, focusing on areas with high unmet medical needs such as oncology, cardiovascular disease, bone disease, and inflammatory diseases.
TEAM SIZE: 25,000+ employees
INDUSTRY: Biotechnology / Pharmaceuticals
EXPECTED CAREER ROADMAP
This is a senior technical leadership position with a strong pathway toward enterprise clinical data, analytical reporting, data-product, and digital-transformation leadership. The role provides exposure to multi-year technology roadmaps, portfolio governance, multiple workstreams, cross-functional design authority, vendor oversight, mentoring, and enterprise data decisions. Successful progression can lead toward senior technical leadership, associate/director-level clinical data and analytics leadership, data-product leadership, enterprise data strategy, or broader digital and clinical-development technology roles.
APPLICATION ADVISORY
This role is not suitable for freshers or 0–2 year candidates. For experienced applicants, position the resume around 8–10+ years of relevant experience as applicable, with strong evidence of clinical analytical reporting, dashboards, data-review technology, analytical datasets, and regulated pharmaceutical/CRO environments. Clearly showcase advanced SQL and at least one of Python, SAS, or R, together with Power BI, Tableau, Spotfire, or similar platforms. Highlight EDC, CDISC, clinical data models, data lineage, validation, quality controls, and large-scale data integration. Demonstrate technical leadership through architecture decisions, design authority, mentoring, vendor management, UAT, risk management, and cross-functional delivery. Interview preparation should cover clinical data governance, reporting architecture, regulated-system validation, anomaly detection, AI/automation, privacy and security, stakeholder prioritization, and enterprise technology-roadmap decisions.
RECOMMENDED TRAINING
1/5
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