Senior Lead Clinical Data Science Programmer
Locations: Bangalore, India | Chennai, India | Trivandrum, India
Work Model: Office or Home (Hybrid/Remote)
Job Type: Full-Time
Job Requisition ID: JR152724
About ICON
ICON is a global healthcare intelligence and clinical research organization dedicated to accelerating the development and delivery of innovative medicines and therapies to patients worldwide.
Guided by our values of Integrity, Collaboration, Agility, and Inclusion, we empower our teams to drive scientific innovation, operational excellence, and meaningful healthcare impact.
Position Overview
We are seeking an experienced Senior Lead Clinical Data Science Programmer to lead external data integration, data transfer specification development, and clinical data science initiatives across global clinical trials.
This role is responsible for managing Data Transfer Specifications (DTS), ensuring compliance with CDISC standards, overseeing external data management processes, and collaborating with cross-functional stakeholders to support high-quality clinical data delivery and downstream analytics.
The ideal candidate will have deep expertise in clinical data management, biomarker and imaging data, external vendor data integration, CDISC standards, and clinical data programming.
Key Responsibilities
Data Transfer Specification (DTS) Leadership
Lead the development, review, and maintenance of Data Transfer Specifications (DTS) for external data providers.
Define and document data structures, transfer requirements, and integration standards.
Ensure consistency across multiple data vendors and study programs.
Manage DTS lifecycle activities, including updates, revisions, and change requests.
External Data Management
Serve as the primary point of contact for external data providers and research partners.
Coordinate external data acquisition and integration activities.
Monitor data transfer timelines and ensure study deliverables are achieved.
Resolve data structure and reconciliation issues in collaboration with vendors and study teams.
Clinical Data Integration
Oversee integration of various external clinical data sources, including:
Biomarker Data
Imaging Data
eCOA (Electronic Clinical Outcome Assessments)
Laboratory Data
Centralized Vendor Data
Clinical Endpoint Data
Ensure data consistency, quality, and regulatory compliance throughout the study lifecycle.
CDISC Standards & Data Governance
Ensure adherence to:
CDISC Standards
Data Collection Standards
Industry Best Practices
Internal Data Governance Requirements
Support study teams in implementing standardized external data collection methodologies.
Promote data harmonization across studies and therapeutic programs.
Clinical Study Team Collaboration
Participate as an extended member of Clinical Study Teams.
Collaborate with:
Clinical Data Management
Biostatistics
Clinical Operations
Medical Writing
Biomarker Teams
Imaging Vendors
Regulatory Teams
Provide technical expertise on external data requirements and data integration strategies.
Data Quality & Reconciliation
Support external data reconciliation activities.
Investigate and resolve data discrepancies.
Ensure external data aligns with protocol requirements and study objectives.
Maintain data integrity throughout the clinical trial lifecycle.
Programming & Data Extraction
Support extraction and processing of clinical data in various formats, including:
SAS
CSV
XML
Review and validate data structures to support reporting and analytics requirements.
Ensure downstream systems receive standardized and high-quality datasets.
eCRF & EDC Support
Review and contribute to:
Electronic Case Report Forms (eCRFs)
Electronic Data Capture (EDC) Configurations
External Data Collection Workflows
Ensure EDC systems support external data requirements effectively.
Vendor Oversight & Relationship Management
Provide oversight of external data vendors and service providers.
Facilitate functional discussions and issue resolution.
Establish strong vendor partnerships and communication channels.
Escalate risks and operational issues when required.
Training & Mentorship
Train and mentor team members on:
DTS Development
External Data Standards
Data Integration Processes
Industry Best Practices
Support knowledge-sharing initiatives and continuous professional development.
Process Improvement
Drive continuous improvement initiatives related to external data management.
Enhance DTS templates and data integration workflows.
Improve data standardization and operational efficiency.
Support innovation in clinical data science processes.
Required Qualifications
Education
Bachelor’s or Master’s Degree in:
Life Sciences
Computer Science
Biotechnology
Biostatistics
Data Science
Pharmacy
Healthcare Informatics
Related Scientific or Technical Discipline
Uttar Pradesh :
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Ranchi |Sikkim :
Rangpo |India :
Remote, India | Siliguri |Illinois :
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Appleton | Kenosha | Pleasant Prairie | Portage | Waukesha |United states :
Arizona | Buffalo Grove | Clayton | Downers Grove | fairmont | Geelong Vic | Georgia | Keene | Michigan | Mt. Pleasant | New Jersy | OH | Piedmont | Salisbury | Whitesboro | Winston-Salem |Georgia :
Atlanta | Augusta | Rome |Maine :
Bangor | Brewer |New Jersey :
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Boulder | Denver | Westminster |Connecticut :
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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 :
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Hilo | Honolulu |Tennessee :
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Lisbon | Oeiras | Portugal |WI :
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Oklahoma City |Puerto Rico :
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Tuscaloosa |D.C :
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Wilmington |North Rhine Westphalia :
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Germany | GErmany |Lower Saxony :
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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 :
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Dún Laoghaire |Galway :
Galway |County Dublin :
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China | Quarry Bay |Liaoning :
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Amsterdam |North Brabant :
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Haarlem |South Holland :
Leiden |Netherlands :
Netherlands |Remote Australia :
Arkansas | Remote Australia |New South Wales :
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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 :
Renfrew | Uxbridge | Mississauga | North York | Australia | Richmond Hill |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 :
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Austria |Vienna :
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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 :
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Surabaya |Japan :
Saitama | Japan |Tokyo :
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Oulu |Southwest Finland (Varsinais-Suomi) :
Turku |Remote Korea :
Remote Korea |Republic of Korea :
Seoul |Kazakhstan :
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Bangkok |Israel :
Tel Aviv | Kfar Saba | Yavne | Netanya | Be'Er Sheva |Remote :
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Kyiv |Lima Region :
Lima |France :
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Midrand | South Africa |Nišava District :
Niš |Bohemia :
Prague |Chile :
Santiago |Bosnia and Herzegovina :
Sarajevo |Singapore :
Singapore |Sofia City :
Sofia |Sweden :
Sweden |Taipei :
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