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Data Expert

0-2 years
Not Disclosed
10 Sept. 11, 2025
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Data Expert

Job ID: REQ-10060497
Location: India
Date Posted: September 07, 2025


About data42

data42 is Novartis’ groundbreaking initiative designed to harness the power of R&D data, creating one of the largest and most diverse datasets in the pharmaceutical industry. By leveraging machine learning, artificial intelligence, and advanced analytics, data42 aims to:

  • Generate insights to deepen disease and medicine understanding

  • Enhance R&D decision-making

  • Reimagine drug discovery and development

  • Build a first-of-its-kind, diverse ecosystem to accelerate innovation


Position Summary

We are seeking a highly skilled Data Expert to join our team. The role’s primary focus is to ensure data quality, enabling reliable insights that support transformative outcomes in R&D. The successful candidate will also play a key role in communicating and presenting complex data insights to various stakeholders.


Key Responsibilities

  • Ensure the accuracy, consistency, and reliability of large-scale R&D datasets

  • Conduct data validation, cleansing, and transformation activities

  • Collaborate with cross-functional teams to align on data standards and governance

  • Apply analytics, AI, and ML techniques to generate impactful insights

  • Present and communicate complex findings clearly to technical and non-technical stakeholders

  • Support continuous improvement of data pipelines and processes


Qualifications & Skills

  • Proven expertise in data management, quality assurance, and validation

  • Strong analytical and problem-solving abilities

  • Hands-on experience with AI/ML and advanced analytics tools

  • Excellent communication and presentation skills

  • Ability to work collaboratively across multidisciplinary teams