





Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 biotech brand, metro Hyderabad, but senior and clinical-specialized reduces applicant density.
Clinical data, EDC/CDISC and regulated validation make skills industry-specific and less transferable.
Explicit 10+ years plus regulated clinical, CDISC and specific tech requirements.
Lead design, development, and support of complex clinical analytical reports, dashboards, visualizations, and advanced data-review tools across Global Development.
Set multi-year technology roadmap and govern analytical reporting portfolio while influencing enterprise data and digital decisions.
Provide technical leadership through leaders, partnerships, and portfolio decisions, including mentoring programmers and managing stakeholder delivery plans.
Bachelor’s degree in life sciences, computer science, data science, statistics, bioinformatics, health informatics, engineering, or related field with 10+ years relevant experience; OR Master’s degree with 8+ years; OR Doctorate with 5+ years.
Experience in designing and delivering clinical reports, dashboards, visualizations, or data-review solutions in pharmaceutical, biotechnology, CRO or related regulated setting.
Advanced proficiency in SQL and at least one programming language such as Python, SAS, or R, plus experience with enterprise visualization platforms.
Work Experience Required: 5+ years (Doctorate), 8+ years (Master’s), or 10+ years (Bachelor’s level). Notice period: Not explicitly mentioned in the JD.
Experienced technical leader capable of operating through strategic partnerships and leading multiple teams or workstreams in a regulated clinical development environment.
Strong background in clinical data models, CDISC standards, metadata-driven development, and applying advanced analytics including anomaly detection and machine learning with validation and oversight.
Proven ability to mentor and raise team capability without direct management, manage complex delivery risks, and maintain technical credibility while focusing on portfolio-level decisions.