GlobalData Hiring – Analyst / Senior Analyst | Healthcare

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GlobalData Hiring – Analyst / Senior Analyst | Healthcare | Hyderabad

GlobalData is hiring Analysts and Senior Analysts for its Healthcare – Pharma team in Hyderabad. The role focuses on researching advanced drug modalities such as ADCs, cell and gene therapies, bispecific antibodies, and RNA-based therapies, and capturing detailed scientific information for pharmaceutical and biotech intelligence databases.

Company Overview

GlobalData is a productivity and intelligence platform that combines proprietary data, human expertise, and AI to support organizations with strategic planning, innovation, risk management, and sustainable growth.

The Healthcare – Pharma team is expanding its coverage of advanced drug modalities and is looking for researchers with strong scientific knowledge and a structured, detail-oriented approach.

Analyst / Senior Analyst – Healthcare

Position Details

  • Position: Analyst / Senior Analyst
  • Team: Healthcare – Pharma
  • Location: Hyderabad
  • Work Area: Drug intelligence, scientific research, data curation and taxonomy

Education

Candidates should have one of the following qualifications:

  • 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:

    • Pharmaceutical or biotech R&D
    • Academic research
    • CROs
    • Pharmaceutical intelligence
    • 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.
  • Relevant modalities include:

    • Cell therapy
    • Gene therapy or gene editing
    • Antibody-drug conjugates (ADCs)
    • Nucleic acid therapies
    • Antibody engineering

  • Experience in cell-based therapies is particularly valued.
  • Experience with taxonomy or ontology development, biomedical data curation or scientific classification is highly desirable.

Scientific Knowledge & Skills

Candidates should have:

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

Taxonomy & Data Skills

  • Ability to break complex scientific information into well-defined and mutually exclusive attributes.
  • Understanding of taxonomy principles, including:

    • Hierarchies
    • Controlled vocabularies
    • Synonym management

  • Familiarity with MeSH, NCI Thesaurus, Gene Ontology or ChEBI is an advantage.
  • Advanced Microsoft 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 carefully.

Research & Communication

  • Strong systematic secondary research skills across:

    • PubMed
    • Clinical trial registries
    • Patent databases
    • Regulatory sources
    • Conference abstracts and presentations

  • Strong attention to detail and critical-thinking skills.
  • Ability to identify incorrect, incomplete or conflicting information.
  • Clear written English and ability to document definitions, rules and decision rationale.
  • Ability to work independently as well as within a global team.
  • Ability to manage multiple assignments and meet deadlines.

Key Responsibilities

Modality Research & Data Capture

  • Conduct in-depth secondary research on drugs across different modalities and development stages.
  • Research drug development from discovery and preclinical stages through clinical development and approval.
  • Extract detailed technical attributes such as:

    • Construct design
    • Delivery systems
    • Chemistry
    • Engineering features

  • Research information from scientific publications, conference abstracts and posters, patents, clinical trial registries, regulatory documents and company disclosures.
  • Interpret complex, incomplete or ambiguous technical information and determine what can be reliably captured.
  • Maintain clear source references.
  • Track new drugs, pipeline events and emerging technologies within assigned modalities.

Taxonomy Development & Classification

  • Contribute to the design and development of modality taxonomies.
  • Develop hierarchical categories, attribute fields, controlled vocabularies and permitted values.
  • Write definitions, inclusion and exclusion criteria, and classification rules.
  • Build and maintain synonyms and naming conventions.
  • Classify and map drugs to the relevant taxonomy.
  • Apply classification rules consistently across records.
  • Document curation guidelines, decision logs and worked examples.

Data Quality & Database Management

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

Collaboration & Delivery

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

Eligible Qualification Courses

M.Pharm | M.S. (Pharm) | M.Sc. Biotechnology | M.Sc. Biochemistry | M.Sc. Molecular Biology | M.Sc. Immunology | M.Sc. Genetics | M.Sc. Microbiology | M.Tech Biotechnology | PhD in relevant field

How to Apply

Interested and eligible candidates can apply through the official GlobalData careers listing for Analyst / Senior Analyst – Healthcare in Hyderabad.

Apply for Analyst / Senior Analyst – Healthcare at GlobalData

Job Summary

Category Details
Company GlobalData
Vacancies Analyst, Senior Analyst – Healthcare
Required Education M.Pharm, M.S. (Pharm), M.Sc., M.Tech, PhD in relevant field
Experience 2–5 years relevant experience; PhD candidates with 2+ years industry or postdoctoral experience encouraged