GlobalData is hiring Analyst and Senior Analyst professionals for its Healthcare – Pharma team in Hyderabad. The role focuses on researching advanced drug modalities, capturing detailed scientific and technical information, and classifying drugs accurately within GlobalData databases.
The position covers emerging modalities including antibody-drug conjugates (ADCs), cell and gene therapies, bispecific antibodies, and RNA-based therapies.
Job Details
| Details | Information |
|---|---|
| Company | GlobalData |
| Position | Analyst / Senior Analyst |
| Team | Healthcare – Pharma |
| Location | Hyderabad |
| Work Area | Drug modality research, scientific data curation and taxonomy development |
Positions
- Analyst
- Senior Analyst
Key Responsibilities
Modality Research and Data Capture
- Conduct secondary research on drugs across different modalities and development stages.
- Research drugs from discovery and preclinical development through clinical development and approval.
- Extract technical information including construct design, delivery systems, chemistry and engineering features.
- Research scientific publications, conference abstracts and posters, patents, clinical trial registries, regulatory documents and company disclosures.
- Interpret incomplete or ambiguous technical information and determine what can be reliably captured.
- Track new drugs, pipeline events and emerging technologies.
Taxonomy Development and Classification
- Contribute to modality taxonomies, hierarchical categories, attribute fields and controlled vocabularies.
- Develop definitions, inclusion and exclusion criteria, and classification rules.
- Maintain synonyms and naming conventions for consistent drug mapping.
- Classify and map drugs according to established taxonomy rules.
- Document curation guidelines, decision logs and worked examples.
Data Quality and Database Management
- Create, review and update drug records in GlobalData databases.
- Identify missing, outdated and inconsistent information.
- Cross-check information across multiple sources.
- Perform quality checks on research and database outputs.
- Identify and resolve data-quality issues with relevant team members.
Collaboration and Delivery
- Work with analysts, subject matter experts and managers on scientific and classification questions.
- Collaborate with product, data and technology teams on taxonomy and database structures.
- Share modality knowledge and support quality improvement initiatives.
- Manage assigned work and deliver within agreed timelines while collaborating with global teams.
Eligibility / Qualifications
Candidates should have one of the following educational backgrounds:
- M.Pharm or M.S. (Pharm) in Pharmacology, Biotechnology or a related specialisation.
- M.Sc. or M.Tech in Biotechnology, Biochemistry, Molecular Biology, Immunology, Genetics, Microbiology or a related life-science discipline.
- PhD in a relevant field such as Immunology, Cell and Gene Therapy, Nucleic Acid Chemistry or Antibody Engineering.
Experience
- 2–5 years of relevant experience in pharma or biotech R&D, academic research, CROs, pharmaceutical intelligence or scientific data curation.
- Candidates with a PhD and 2+ years of industry or postdoctoral experience are also encouraged to apply.
- Hands-on laboratory or research experience in at least one advanced modality is strongly preferred.
- Experience in cell-based therapies is particularly valued.
- Experience with taxonomy or ontology development, biomedical data curation or scientific classification is highly desirable.
Required Skills
Scientific Knowledge
- In-depth knowledge of at least one advanced drug modality.
- Working knowledge of other advanced modalities.
- Strong understanding of molecular biology, immunology and pharmacology.
- Knowledge of drug targets and mechanisms of action.
- Understanding of the drug development lifecycle from discovery to post-marketing.
- Familiarity with WHO INN nomenclature for biologics and cell and gene therapies.
Taxonomy and Data Skills
- Ability to break complex scientific information into discrete attributes.
- Understanding of hierarchies, controlled vocabularies and synonym management.
- Familiarity with MeSH, NCI Thesaurus, Gene Ontology or ChEBI is an advantage.
- Advanced Excel skills, including pivot tables, lookups and data validation.
- Basic SQL or scripting knowledge is an advantage.
- Ability to use AI-assisted research tools responsibly and verify their output.
Research and Communication
- Strong secondary research skills across PubMed, clinical trial registries, patent databases, regulatory sources and conference materials.
- Strong attention to detail and critical-thinking skills.
- Ability to identify incorrect, incomplete or conflicting information.
- Clear written English.
- Ability to document definitions, rules and decision rationale.
- Ability to work independently and collaborate with global teams.
How To Apply
