Senior Analyst – RWE Acceleration
Company: Novartis
Job ID: REQ-10075473
Location: Hyderabad
Functional Area: Research & Development
Business Unit: US / Marketing
Employment Type: Full-time, Regular
Posted Date: 20 May 2026
Job Summary
The Senior Analyst – RWE Acceleration role focuses on enabling real-world data (RWD) platform implementation, data integration workflows, and technical execution of analytics infrastructure within Novartis.
The role acts as a bridge between strategy and execution—ensuring real-world evidence (RWE) platforms are effectively operationalized within study workflows, especially for teams based in Hyderabad, while coordinating closely with global (US-based) platform and innovation teams.
Key Responsibilities
1. RWD Platform Implementation & Integration
Support implementation of real-world data (RWD) platforms (internal and external).
Enable workflow integration across multiple analytics and data systems.
Collaborate with global teams to ensure seamless platform adoption.
2. Testing, Validation & Quality Assurance
Conduct user acceptance testing (UAT) for:
New platform features
Tooling enhancements
Data integration workflows
Perform quality checks on platform outputs and integrations.
Monitor system performance and coordinate issue resolution.
3. Data Engineering & Workflow Optimization
Identify inefficiencies in workflows and propose:
Automation solutions
Tooling improvements
Process redesigns
Evaluate feasibility of NLP and AI tools for integration into RWE workflows.
Support optimization of data pipelines and analytical workflows.
4. Cross-functional Data Collaboration
Partner with:
US-based data platform teams
Innovation workstreams
Vendor evaluation teams
Hyderabad RWD operations teams
Ensure operationalization of data sources within platform environments.
5. Healthcare Data & Coding Standards
Work with healthcare datasets including:
Electronic Medical Records (EMR)
Insurance claims data
Registry databases
Maintain and manage coding standards such as:
ICD-9 / ICD-10
NDC
HCPCS
LOINC
Support creation and maintenance of codelists for RWE studies.
6. Documentation & Training
Develop:
Technical documentation
Workflow guides
Training materials for internal teams
Support onboarding and adoption of RWD platforms across teams.
7. Platform Monitoring & Support
Track platform performance metrics.
Flag technical issues and coordinate resolution with stakeholders.
Support continuous improvement of platform reliability and usability.
Required Qualifications
Experience
Experience with:
Data integration workflows
ETL pipelines
Clinical or claims data environments
Exposure to:
Pharmaceutical or life sciences data platforms
Real-world data (RWD) / real-world evidence (RWE) ecosystems
Domain Knowledge
Experience working with:
EMR data
Insurance claims databases
Registry datasets
Exposure to:
Epidemiology
Clinical research
Market research (preferred)
Technical Skills
Knowledge of:
Data pipelines and ETL processes
Healthcare coding systems:
ICD-9 / ICD-10
NDC
HCPCS
LOINC
Ability to:
Build technical documentation
Support workflow automation
Evaluate AI/NLP tools for integration
Key Competencies
Technical & Analytical
Strong problem-solving skills
Ability to work across technical and non-technical teams
Understanding of data integration and analytics workflows
Communication & Collaboration
Strong written and verbal communication skills
Ability to summarize complex technical concepts clearly
Experience working in global, cross-functional environments
Behavioral & Strategic Traits
High attention to quality and detail
Ability to work independently with autonomy
Openness to innovation and experimentation
Strong ethical standards
Confidence in stakeholder engagement
Ability to challenge assumptions constructively
Working Model
Based in Hyderabad
Works closely with US-based global teams
Hybrid, cross-functional, and technical role
Core Responsibilities Summary (Simple Version)
This role focuses on:
Building and supporting real-world data (RWD) platforms
Working with healthcare datasets (claims, EMR, registries)
Supporting data pipelines and ETL workflows
Testing and improving analytics systems
Creating technical documentation and training materials
Integrating AI/NLP tools into healthcare data workflows
Core Skill Areas
Real-world data (RWD) & evidence (RWE)
Data integration & ETL pipelines
Healthcare coding systems (ICD, NDC, HCPCS, LOINC)
Clinical & claims data analytics
Platform implementation & testing
AI/NLP integration (emerging)
Technical documentation
Cross-functional collaboration
Uttar Pradesh :
Agra | Gajraula | Gautam buddha Nagar | Ghaziabad | Gorakhpur | Greater Noida | Jhansi | kanpur | Lucknow | Mathura | Noida | Park City | Prayagraj | Satyamev | Varanasi |Gujarat :
Ahmedabad | Ankleshwar | Baroda | Bharuch | Gandhinagar | Gujarat | Halol | Jhagadia | Mehsana | surat | Tarasadi | Vadodara | Vapi |Maharashtra :
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amritsar | Bathinda | Bela | Chandigarh | ludhiana | Moga | Mohali | Patiala | Phagwara | Punjab | Rajpura |Andra Pradesh :
Anakapali | Anantapur | Bhimavaram | Chittoor | Guntur | Gurgaon | Kakinada | Mangalagiri | Nellore | Pydibimavaram | Tirupathi | Vijayawada | Visakhapatnam |Tamil Nadu :
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Baddi | Solan |Rajasthan :
Banasthali | Bhiwadi | Jaipur | Pilani | Udaipur |Karnataka :
Bangalore | Belgaum | Bengaluru | B.G Nagara | Bommasandra | Colorado | Czech Republic | Karnataka | Mangaluru | Mysore | Udupi |Madhya Pradesh :
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Dehradun | Halifax | Nainital | Rishikesh | Roorkee |Delhi :
Delhi | Gangtok | New Delhi | PAN-India |Assam :
Dibrugarh | Diburghar | Guwahati |West Bengal :
Digha | Kolkata | Mukundapur |Goa :
Goa | Panaji | Verna |Bihar :
Hajipur | Patna |Kerala :
Kannur | Kochi | Malappuram | Thiruvananthapuram | Trivandrum |Pondicherry (Puducherry) :
Pondicherry (Puducherry) |Jharkhand :
Ranchi |Sikkim :
Rangpo |India :
Remote, India | Siliguri |Illinois :
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Chengdu | Garden city | Kansas City | Lawrence | McPherson |North Carolina :
Concord | Lumberton | North Carolina |Michigan :
Detroit | Houghton Lake | Macomb | Southfield |North Dakota :
Dickinson |Minnesota :
Duluth | Eden Prairie | Fridley | Hibbing | Maple Grove | Minneapolis and St. Paul, Minnesota. | Minnetonka | St.Paul |Kentucky :
Edgewood | Ft MItchell | Louisville | Shelbyville |Arkansas :
Fort Smith |Kington :
Frank Scottile Blvd |Missouri :
Fulton | Milan | St. Louis |United States :
Hawai | kentucky | Sylmar | Woonsocket |Nebraska :
Hebron | Nebraska City |Hawaii :
Hilo | Honolulu |Tennessee :
Knoxville | Memphis | Nashville |Louisiana :
Lake Charles | Shreveport |Nevada :
Las Vegas | Tonopah | Tonopsh | Virginia |New Hampshire :
Lebanon | Macon | Manchester |Portugal :
Lisbon | Oeiras | Portugal |WI :
Madison | Wausau |Republic of Mexico :
Mexico |northeastern :
New Hampshire |Oklahoma :
Oklahoma City |Puerto Rico :
San Juan |Albama :
Tuscaloosa |D.C :
Washington |Delaware :
Wilmington |North Rhine Westphalia :
Aachen | Bielefeld | Bochum | Bonn | Cologne | Dortmund | Duisburg | Dusseldorf | Munster |Munich :
Bavaria |Bavaria :
Bayreuth | Erlangen | Munich | Regensburg | Wurzburg |Brandenburg :
Berlin |Baden-Wurttemberg :
Biberach an der Riß | Freiburg | Grenzach | Heidelberg | Karlsruhe | Konstanz | Stuttgart | Tubingen | Ulm |Hesse :
Darmstadt | Marburg |Hessen :
Frankfurt | Harveysburg |Germany :
Germany | GErmany |Lower Saxony :
Gottingen | Hannover | Leipzig |Saxony Anhalt :
Halle |Rotherbaum :
Hamburg |Rhineland Palatinate :
Ingelheim am Rhein | Mainz |Schleswig Holstein :
Kiel |Berlin :
Mitte |Mecklenburg Vorpommern :
Rostock |Saarland :
Saarbrucken |Switzerland :
Basel | Zurich |Serbia :
Belgrade | Serbia |Hungary :
Budapest |BULGARIA :
Bulgaria | Vedant |Denmark :
Copenhagen | Denmark |Europe :
Europe | France | Latvia | Lendava | Leuven | Poland | Slovenia | Spain |Finland :
Finland |Istanbul :
Istanbul | Turkey |Norway :
Norway | NOrway |Romania :
Romania |Belgium :
Wavre |Tipperary :
Ballydine |Cork :
Brinny | Ringaskiddy |Carlow :
Carlow |Republic of Ireland :
Cork | Dublin | Limerick | Waterford |Ulster :
Donegal |Meath :
Dunboyne |Dún Laoghaire :
Dún Laoghaire |Galway :
Galway |County Dublin :
Swords |Republic of China :
Beijing |China :
China | Quarry Bay |Liaoning :
Dalian |Zhejiang :
Hangzhou |Tokiyo :
Osaka | Tokyo |Shanghai Sai :
Shanghai Shi |Hubei :
Wuhan |Capital of Netherland :
Amsterdam |North Brabant :
Breda |Noord Holland :
Haarlem |South Holland :
Leiden |Netherlands :
Netherlands |Remote Australia :
Arkansas | Remote Australia |New South Wales :
Ballina | Sydney |Republic of Western Australia :
Nedlands |Queensland :
Queensland |Melbourne :
South Yarra |United Kingdom :
England | Harlow | Leeds | London | Maidenhead | Salt Lake City | Stevenage | Stirling | United Kingdom |North Yorkshire :
Harrogate |South Yorkshire :
Sheffield |Oxfordshire :
Witney |Ontario :
Richmond Hill | Australia | North York | Renfrew | Uxbridge | Mississauga |Canada :
Canada |Quebec :
Montreal |Brussels :
Brussels |Antwerp :
Heist op den Berg |Flemish Brabant :
Zaventem |South America :
Peru | Argentina |Brazil :
Brazil | Sao paulo |Attica :
Athens | Koropi |Greece :
Greece |North Island :
Auckland |New Zealand :
New Zealand |Austria :
Austria |Vienna :
Vienna |Catalonia :
Barcelona |Madrid :
Madrid |Cebu Province :
Cebu City |Philippines :
Manila |Croatia :
Croatia |Zagreb :
Zagreb |Estonia :
Tartu | Estonia |Harju County (Maakond) :
Tallinn |Hà Nội :
Hà Nội | Hanoi |Ho Chi Minh :
Ho Chi Minh City |Italy :
Italy |Lombardy :
Rho |Jakarta :
Jakarta |East Java :
Surabaya |Japan :
Japan | Saitama |Tokyo :
Otemachi |North Ostrobothnia :
Oulu |Southwest Finland (Varsinais-Suomi) :
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Remote Korea |Republic of Korea :
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Netanya | Tel Aviv | Be'Er Sheva | Kfar Saba | Yavne |Remote :
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King Abdullah Economic City | Najran | Riyadh | Khulais | Jeddah | Rabigh |Kuala Lumpur :
Kuala Lumpur |Kyiv Oblast :
Kyiv |Lima Region :
Lima |France :
Lyon | Paris |South Africa :
Midrand | South Africa |Nišava District :
Niš |Bohemia :
Prague |Chile :
Santiago |Bosnia and Herzegovina :
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