egulatory Affairs Data Analyst – GenAI Focus | Bangalore, India
Job ID: JR_040321 | Category: Regulatory Affairs & Data Analytics | Employment Type: Full-Time
About the Role
We are seeking a Regulatory Affairs Data Analyst with expertise in Generative AI and data analytics to join our global Regulatory Affairs team in Bangalore, India. This role combines regulatory intelligence, enterprise data analytics, and AI innovation, focusing on improving regulatory workflows, enhancing document management processes, and enabling smarter, data-driven decision-making.
The ideal candidate is hands-on, technically curious, and experienced with enterprise platforms such as document management systems (e.g., Objective, Veeva Vault) and data lakes (e.g., Snowflake). You will work across regulatory and technical teams to build Custom GPTs, implement AI-driven automation, and optimize workflows around enterprise content and data.
Key Responsibilities
Analyze structured and unstructured regulatory content to extract insights, identify trends, and support intelligent decision-making.
Collaborate with cross-functional teams to design and deploy Custom GPTs for tasks such as document summarization, classification, and search within regulated environments.
Evaluate, benchmark, and implement Generative AI (GenAI) and NLP tools for enterprise document processing and regulatory intelligence.
Work with document management systems (e.g., Objective, Veeva, Documentum) to access, process, and structure regulatory documents.
Leverage enterprise data lakes (e.g., Snowflake) to query, transform, and manage large regulatory and operational datasets.
Build automated workflows and data pipelines using Airflow, optimizing for reliability and efficiency.
Support AI model evaluation through metrics, prompt tuning, and human-in-the-loop validation to ensure compliance and accuracy.
Develop dashboards and visualizations (Power BI or similar) to communicate insights to regulatory and business stakeholders.
Qualifications & Requirements
Master’s degree in Data Science, Data Analytics, Artificial Intelligence, or related field.
2–4 years of experience in data analysis, regulatory analytics, or operational analytics.
Proficiency in SQL and Python for data manipulation, automation, and prototyping.
Exposure to Generative AI tools, LLMs, and prompt engineering.
Experience working with enterprise document management systems (e.g., Objective, Veeva, OpenText).
Familiarity with enterprise data lake platforms such as Snowflake, including performant query design and structured data management.
Strong attention to detail, analytical thinking, and ability to work independently in a regulated environment.
Bonus: Experience evaluating LLMs or working with regulatory-specific datasets (submissions, labeling, health authority feedback).
What You’ll Gain
Hands-on experience with GenAI-first regulatory projects shaping global compliance strategies.
Exposure to enterprise-grade AI tools, data platforms, and document management systems.
A collaborative and innovative team culture focused on precision, impact, and career growth.
Career development opportunities at the intersection of regulatory intelligence, AI, and data engineering.
Location: Bangalore, India
Schedule: Full-Time | Travel: Minimal/As Required
Why Join Us
Joining our team means contributing to innovative solutions that improve global healthcare while advancing your career in AI-driven regulatory analytics. You will work in a diverse and inclusive culture that encourages creativity, precision, and continuous learning.
Apply Now to be part of a forward-thinking team transforming regulatory intelligence with data analytics and Generative AI.
Gujarat :
Ahmedabad | Ankleshwar | Baroda | Bharuch | Gandhinagar | Gujarat | Halol | Jhagadia | Mehsana | surat | Tarasadi | Vadodara | Vapi |Maharashtra :
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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 |Punjab :
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Bilaspur | Eot Municipality | Raipur |Uttarakhand :
Dehradun | Halifax | Nainital | Rishikesh | Roorkee |Delhi :
Delhi | India | New Delhi | PAN-India |Assam :
Dibrugarh | Diburghar | Guwahati |West Bengal :
Digha | Kolkata | Mukundapur |Uttar Pradesh :
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Hajipur | Patna |Kerala :
Kannur | Kochi | Malappuram | Thiruvananthapuram | Trivandrum |Pondicherry (Puducherry) :
Pondicherry (Puducherry) |Jharkhand :
Ranchi |Sikkim :
Rangpo |India :
Siliguri |Illinois :
Abbott Park | Bloomingdale | Champaign | Chicago | Deerfield | Glenview | Lake Forest | Lombard | Naperville | Norridge | Park RIdge | Round Lake |Maryland :
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Abilene | Arlington | Austin | Boerne | Brenham | Bulverde | Carrollton | Cedar Hill | Corpus Christi | Corsicana | Dallas | Denton | El Paso | Fort Worth | Garland | Houston | Lakeway | Longview | Mcallen | North Richland Hills | Plano | Richardson | San Antonio | Seguin | Tyler | Waco |California :
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Anchorage | Barrow | Bethel | Juneau | Sitka | Wrangell |Massachusetts :
Andover | Billerica | Boston | Cambridge | Devens | Lexington | Massachusetts | Medford and Somerville | Rockland |Wisconsin :
Appleton | Kenosha | Pleasant Prairie | Portage | Waukesha |United states :
Arizona | Buffalo Grove | Clayton | Downers Grove | fairmont | Georgia | Keene | Michigan | Mt. Pleasant | New Jersy | OH | Piedmont | Salisbury | United States | Whitesboro | Winston-Salem |Georgia :
Atlanta | Augusta | Rome |Maine :
Bangor | Brewer |New Jersey :
Basking Ridge | Bloomfield | Branchburg Township | Bridgewater | Brunswick | Burlington | Charlotte | Clark | Cranbury | Dunellen | East Brunswick | Edison | Fairfield | Far Hills | Flemington | Hackensack | Hopewell | Indianapolis | Jersey City | Linden | Livingston | Lyndhurst | Mahwah | Monmouth Junction | Montville | Mount Arlington | Newark | New Brunswick | Nutley | Paramus | Parsippany | Passaic | Paterson | Peapack-Gladstone | Pine Brook | Piscataway Township | Plainsboro | Princeton Junction | Rahway | Raritan | Somerset | Somerville | South Plainfield | Sparta | Summit | Titusville | Trenton | Warren Grove | Westfield | West Orange | Wharton | Whippany |Ohio :
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Bellevue | Bothell | Friday Harbor | Goldendale | Mount Vernon | Pullman | Seattle | Sherwood | Tacoma | Vancouver |Oregon :
Bend | Coquille | Corvallis | Eugene | Florence | Grants Pass | John Day | Lake Oswego | Lakeview | Portland | Reedsport | Roseburg | Salem | Springfield | Woodburn |Wyoming :
Big Piney | Cokeville |Alabama :
Birmingham |Virginia :
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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 :
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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 :
Uxbridge | North York | Richmond Hill | Renfrew | Mississauga | Australia |Canada :
Canada |Quebec :
Montreal |Brussels :
Brussels |Antwerp :
Heist op den Berg |Flemish Brabant :
Zaventem |South America :
Argentina | Peru |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 :
Estonia | Tartu |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) :
Turku |Remote Korea :
Remote Korea |Republic of Korea :
Seoul |Kazakhstan :
Almaty |Republic of Thailand :
Bangkok |Israel :
Tel Aviv | Yavne | Netanya | Kfar Saba | Be'Er Sheva |Remote :
Springville | Belgium | Xzagreb | Slovakia | Bountiful | Regulatory Labeling Manager (NA and LATAM Only) | Bishop | Castlebar | Lenexa | Leinster | Nairobi | Riga | McFarland | Remote - Europe | Lousiana | Ireland | Green Way | Texas | Faridabad | Blue Bell | Remote, USA | Switzerland | Manipal | Medan | Tulsa | French | Victoria | Zaragoza | Remote - South America (Latin Americal) | Minnesota | Hungary | Remote - Africa | Melbourne | Remote - Middle East | Thailand | Remote | Hammond |Republic of Colombia :
Bogota |Williamson :
Brentwood |Bucharest :
Bucharest |Buenos Aires :
Buenos Aires |Republic of Egypt :
Cairo |Mexico :
New Mexico | Ciudad de México |Dubai :
Dubai |Makkah :
Rabigh | Jeddah | Najran | King Abdullah Economic City | Riyadh | Khulais |Kuala Lumpur :
Kuala Lumpur |Kyiv Oblast :
Kyiv |Lima Region :
Lima |France :
Lyon | Paris |South Africa :
South Africa | Midrand |Nišava District :
Niš |Bohemia :
Prague |Chile :
Santiago |Bosnia and Herzegovina :
Sarajevo |Singapore :
Singapore |Sofia City :
Sofia |Sweden :
Sweden |Taipei :
Taipei |Mazovia :
Warsaw |