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Novartis

Senior Analyst - RWE Acceleration

Novartis is hiring a Senior Analyst - RWE Acceleration in Hyderabad, India. Level rates it ; you can apply on Novartis.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include ETL, NLP and data integration.
  • Level classifies it as a senior role.
  • Level lists 890 other open roles at Novartis.

AI in this role

Senior Analyst to support real-world evidence data platform implementation, workflow integration, and evaluation of tools including NLP.

etl
nlpdata-integrationclinical-datahealthcareetl

Job Description Summary

The senior analyst, RWE acceleration, serves as the technical anchor for the RWD platform implementation and data integration workflows. This individual contributor role bridges strategy and execution- ensuring that platform investments are effectively operationalized within NOCC Hyderabad based study workflows. The analyst works in close partnership with the US data platform team and the innovation work stream to support tooling adoption, integration design, and workflow optimization across the Novartis RWD portfolio.


 

Job Description

Major Accountabilities

  • Support implementation and workflow integration of core RWD platforms that are either internal or external to Novartis

  • Conduct user acceptance testing and quality checks for new platform features or tooling deployments

  • Support evaluation of NLP tools from a technical integration and workflow feasibility perspective

  • Identify workflow inefficiencies and design automation or tooling solutions that accelerate steady execution

  • Partner with the RWD landscape and vendor evaluation analyst to ensure data source access is operationalized within platform environments

  • Develop training materials and best practice guides for NOCC Hyderabad team members on platform and tooling usage

  • Monitor platform performance, flag issues, and coordinate resolution with other team members

  • Spans multiple platforms simultaneously and emerging AI tools, each at different stages of implementation maturity

  • Works across technical and scientific dimensions- requiring fluency in both

  • Operates with significant autonomy on technical implementation tasks; expected to exercise independent judgment on workflow design and tooling evaluation . Partners with U.S. data platforms team

Essential Requirements                  

  • Experience with data integration, ETL processes, or clinical/claims data pipelines

  • Demonstrated ability to produce clear technical documentation and workflow guides

  • Strong problem-solving orientation with ability to work across technical and non-technical teams

  • Experience with pharmaceutical or life sciences data platforms are similar enterprise health data environments

  • Experience with data from electronic medical records, registry databases, and external insurance claims databases for health outcomes research. Additional experience in epidemiology, market research, or clinical research is a plus.

  • Experience in creating, reviewing, and maintaining codelists aligned with ICD-9, ICD-10, NDC, HCPCS, LOINC coding conventions for healthcare and real-world data projects

  • Understanding of organizational processes, including experience working cross-functionally with key internal stakeholders.

  • A strong interest in working in pharma.

  • Open to experimentation and taking smart risks to support creative thinking that leads to practical solutions to healthcare and business challenges.

Desirable Requirement:

  • Holds a high standard on quality excellence. Continuously seeking to enhancing standards, technology through expansion of knowledge and training.

  •  High ethical values and standards.

  •  Able to speak up, challenge conventional thinking, and stand up for ideas.

  • Confident and competent when interacting with internal stakeholders.

  • Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence.

  • Strong team spirit.     

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards


Commitment to Diversity and Inclusion:  
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.  

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: 
https://talentnetwork.novartis.com/network


 

Skills Desired

Clinical Research, Clinical Trials, Curious Mindset, Databasing, Drug Development, Job Description (Inactive), Lifesciences (Inactive), Medical Communications, Medical Information, Medical Writing, Military Intelligence, Patient Care, Physics, Technical Support

How we rate this

Senior Analyst - RWE Acceleration at Novartis rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPData IntegrationClinical DataHealthcareETL

Questions you could be asked

  1. What NLP problem have you worked on, and how did you measure whether it actually worked?
  2. Tell me about a project where data integration was part of your work. What did you do?
  3. Tell me about a project where clinical data was part of your work. What did you do?
  4. Tell me about a project where healthcare was part of your work. What did you do?
  5. Tell me about a project where etl was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: NLP, Data Integration, Clinical Data, Healthcare, and ETL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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