Key Roles and Responsibilities
Project Execution : primary owner of the following tasks
- Build deep expertise on necessary data sets and supports data enabled decision making using a range of data sources (patient level claims databases, EMR/EHR/Lab, publications, clinical trials etc) and (EBD, Veeva, Customer 360 etc)
- Ensure high stakeholder satisfaction through consistent delivery of high quality, timely and insightful outputs throughout analytics value chain on various objectives related to the patient journey, unmet needs, omnichannel engagement, segmentation, targeting, and data support through data mining and warehousing
- Develop into a trusted advisor by actively participating in various phases of the project including kick-off, methodology development, execution, insight generation and data visualization and results presentation to various stakeholders
- Participating in meetings with stakeholders and communicating the final outputs and recommendations
- Develop foundational understanding of Medical Affairs strategy, critical objectives, transformation roadmap to ensure analytics recommendations and key workstreams align to the broader organizational strategy
- Develop/Conceptualize and prioritize analytic solutions that help answer Medical Affairs’ most critical questions and meet their needs with data driven insights
- Collaborate with LCCI, newly formed Data Engineering team and Advanced Analytics & Data Science teams on Medical Affairs analytics deliverables in seamless delivery model across different locations and teams
- Ensure business decisions are made with solid supporting evidence grounded in analytics that include actionable business insights and recommendations
- Build and understand the customer journey, pain points, and drivers of behaviour as it relates to medical unmet need projects and omnichannel engagement
Project management : support the team leader as needed on the below tasks
- Creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs
- Shared learning forums to identify challenges and establish best practices
- Expansion of analytical capability of the team by taking on more complex projects and delivering value
- Execute analytics deliverables abiding by project management principles and demonstrating strong cross functional communication and collaboration
- Ensure compliance with all privacy and contractual obligations related to the use of data
Education/Experience Requirements
- Graduation/ Post-Graduation in Medical/ Pharma domain else Undergrad in quantitative field (Engg, Math/Stats, quant economics/econometrics etc) with relevant work experience mentioned below
- Prior experience in therapy areas including Diabetes, Immunology, Oncology, Neuroscience, or analytics related areas (targeting, segmentation, omnichannel analytics) is highly preferred
- Prior experience of working on a range of pharma/healthcare data sets highly preferred, including but not limited to syndicated insurance claims databases (IQVIA, Symphony, etc), EMR/EHR/Lab data (IBM MarketScan, Prognos etc), National/international patient registries, publications, clinical trials, open-payments data
- 3-6 years of analytics experience with demonstrated ability to think strategically in an ambiguous environment in analytics, especially in pharma/other lifesciences
- Coursework/qualifications in analytics, statistics, RWE generation, quantitative health economics, patient outcomes will be a plus
Technical Skills
- Strong experience in SQL; fluency in one of R/Python
- Hands-on experience with at least 1 data viz tool like Tableau, PowerBI etc
- Advanced MS-office skills (MS-Excel and MS-PowerPoint)
Soft Skills
- Strong work ethic and personal motivation
- Good presentation skills
- Interpersonal and communication skills with ability to work across time zones
- Ability to operate effectively in an international matrix environment
- Strong stakeholder management skills
- Strong team player who is dynamic and result oriented
