Analyst/ Sr. Analyst

Position: Analyst or Senior Analyst

Team: Healthcare

Location: Hyderabad

About Us

GlobalData is a productivity and intelligence platform that empowers leaders to act decisively in a world of complexity and change.

By uniting proprietary data, human expertise, and purpose-built AI into a single, connected platform, we help organizations see what's coming, move faster, and lead with confidence.

Our solutions are used by over 5,000 organizations across the world's largest industries, delivering tailored intelligence that supports strategic planning, innovation, risk management, and sustainable growth.

THE OPPORTUNITY

Drug innovation is increasingly driven by advanced modalities such as ADC, cell and gene therapies, bispecific antibodies and RNA-based therapies. Understanding how these therapies are designed, and how they differ from one another, is essential for the pharmaceutical, biotech and investment clients we serve.

GlobalData Healthcare – Pharma is expanding its coverage of drug modalities and is looking for Analysts and Senior Analysts in Hyderabad to join the team. You will research the science behind these therapies, capture detailed technical information, and help ensure that drugs are classified accurately and consistently across our databases.

This role suits researchers who combine depth in one or more advanced modalities with a structured, detail-driven approach, and who want to apply their expertise to high-quality drug intelligence used by clients worldwide.

What We Are Looking For

Education

M. Pharm or M.S. (Pharm) in Pharmacology, Biotechnology or a related specialisationM.Sc. or M. Tech in Biotechnology, Biochemistry, Molecular Biology, Immunology, Genetics, Microbiology or a related life-science discipline.A PhD in a relevant field (e.g., immunology, cell and gene therapy, nucleic acid chemistry, 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, such as cell therapy, gene therapy or gene editing, ADCs, nucleic acid therapies or antibody engineering, 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 Knowledge And Skills

Scientific knowledge

In-depth understanding of the science behind at least one advanced modality, and working knowledge of others.Strong foundation in molecular biology, immunology and pharmacology, including targets and mechanisms of action.Good understanding of the drug development lifecycle, from discovery to post-marketing.Familiarity with drug naming conventions, including WHO INN nomenclature for biologics and cell and gene therapies.

Taxonomy And Data Skills

Structured thinking: the ability to break complex science into discrete, well-defined and mutually exclusive attributes.Understanding of taxonomy principles such as hierarchies, controlled vocabularies and synonym management. Familiarity with MeSH, NCI Thesaurus, Gene Ontology or ChEBI is an advantage.Advanced Excel skills (e.g., pivot tables, lookups, data validation). Basic SQL or scripting knowledge is an advantage.Comfort using AI-assisted research tools responsibly, with careful verification of their output.

Research and communication

Strong, systematic secondary research skills across PubMed, Clinical Trial Registries, patent databases, regulatory sources, conference abstracts and presentation, etc.Strong attention to detail and critical thinking, with the ability to identify incorrect, incomplete or conflicting information.Clear written English, including the ability to document definitions, rules and decision rationale.Ability to work independently and in a global team, manage multiple assignments and meet deadlines.

Key Responsibilities

Modality research and data capture

Conduct in-depth secondary research on drugs across modalities and development stages, from discovery and preclinical work through clinical development and approval.Extract detailed technical attributes for each drug, such as construct design, delivery system, chemistry and engineering features, from scientific publications, conference abstracts and posters, patents, clinical trial registries, regulatory documents and company disclosures.Interpret complex, incomplete or ambiguous technical information and decide what can be captured reliably, with clear source references.Track new drugs, pipeline events and emerging technologies within assigned modalities.

Taxonomy development and classification

Contribute to the design and development of modality taxonomies, including hierarchical categories, attribute fields, controlled vocabularies and permitted values.Write clear definitions, inclusion and exclusion criteria, and classification rules for each category and attribute.Build and maintain synonyms and naming conventions so that drugs are mapped consistently and can be found easily through search and filters.Classify and map drugs to the taxonomy, applying the rules consistently across records.Document curation guidelines, decision logs and worked examples to support consistent classification across the team.

Data quality and database management

Create, review and update drug records in GlobalData databases, identifying missing, outdated or inconsistent information.Cross-check information across multiple sources and perform quality checks on research and database outputs.Flag data-quality issues and work with the relevant team members to resolve them.

Collaboration and delivery

Work with fellow analysts, subject matter experts and Managers to resolve scientific and classification questions.Work with product, data and technology teams to translate the taxonomy into database structures and search features.Share modality knowledge with the wider team and support quality improvement initiatives.Manage assigned work and deliver within agreed timelines, collaborating with global teams across time zones.