Principal STEM Content Analyst – Life Sciences & Healthcare
Location: Hyderabad, Telangana, India
Work Mode: Hybrid
Employment Type: Full-Time
Industry: Life Sciences & Healthcare
Job Overview
A leading global life sciences information organization is seeking a Principal STEM Content Analyst to join its STEM Content team in Hyderabad. This senior-level role focuses on scientific data curation, ontology management, pharmaceutical intelligence, and database governance within the Life Sciences and Healthcare (LSH) domain.
The position is designed for experienced professionals with deep exposure to pharmaceutical data, active pharmaceutical ingredients (APIs), drug development workflows, and structured scientific databases. The selected candidate will play a strategic role in improving data discoverability, semantic integrity, and ontology-driven content modeling across a global scientific platform.
This opportunity is ideal for professionals seeking leadership-level responsibility in scientific content intelligence, pharma data management, and ontology-driven database systems.
Key Responsibilities
Implement and maintain editorial content frameworks, terminology standards, and ontology structures within a scientific database
Ensure accurate modeling of entities and relationships in ontology-driven systems
Oversee integration of new scientific data sources while maintaining semantic consistency and data governance compliance
Act as Subject Matter Expert (SME) for editorial tools, relational data structures, and content management workflows
Provide training, mentorship, and quality oversight to ensure consistent application of editorial and relational standards
Collaborate with operations, product management, and data stakeholders to align editorial workflows with product requirements
Identify workflow inefficiencies and implement system and process improvements
Support cross-functional initiatives related to data onboarding, ontology expansion, relationship normalization, and tool enhancement
Engage with internal and external stakeholders to resolve data integration and ontology structure issues
Monitor data quality metrics and proactively implement corrective actions to support long-term business goals
Required Qualifications
Education:
Bachelor’s degree in Pharmacy (B.Pharm / M.Pharm) or equivalent qualification in a Life Sciences discipline.
Experience:
Minimum 7 years of professional experience working with scientific or technical databases, preferably in pharmaceutical or healthcare sectors.
Demonstrated experience in pharmaceutical data analysis, APIs, and drug development lifecycle.
Hands-on experience in scientific data curation, content management, or database administration.
Experience conducting literature reviews and patent research with the ability to interpret scientific publications and industry reports.
Technical Skills:
Strong understanding of hierarchical data structures and ontology-based databases
Knowledge of pharmaceutical industry workflows and drug portfolio development
Proficiency in MS Excel for data analysis, filtering, lookups, and reporting
Familiarity with data governance principles and editorial policies
Strong stakeholder management and cross-functional collaboration skills
Preferred Skills:
Proven industry experience within pharmaceutical or healthcare organizations
Experience working with patent databases and public scientific datasets
Core Competencies:
Advanced analytical and problem-solving abilities
Strong data accuracy and attention to detail
Leadership and mentoring capability
Effective communication skills in English
Ability to manage complex, multi-source data environments
About the Team
The STEM Content team is globally distributed, with members located in Hyderabad, the United States, and Barcelona. The team specializes in collecting, curating, and structuring scientific data from patents, news sources, and public datasets to develop comprehensive drug intelligence portfolios, including active pharmaceutical ingredients (APIs).
This collaborative international environment supports high-impact data solutions for pharmaceutical research, drug discovery, and healthcare analytics.
Work Schedule
Monday to Friday
8.5 hours per day
Hybrid work model
Flexibility required for occasional collaboration with US time zones
Temporary schedule adjustments may be required during onboarding and training
Equal Opportunity Statement
The organization is committed to equal employment opportunity and does not discriminate based on race, gender, age, disability, religion, or any other legally protected characteristic. All qualified applicants are encouraged to apply.
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