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Principal, Data Technology Consulting (Life Sciences) - Remote
EPAM Systems - Boston, MA
posted 2 months ago
About the position
The Data Technology Consultant role at EPAM involves collaborating with a dynamic team to address complex business challenges in the Health Care & Life Science industry. The consultant will focus on defining pharmaceutical brand strategies and enhancing patient and healthcare professional engagement at an enterprise level. This influential position requires a deep understanding of the life sciences sector and the ability to drive transformational initiatives for recognized brands.
Responsibilities
- Participate in client engagement, ensuring that projects generate tangible business value
- Coordinate with EPAM Senior Leadership to co-develop and support strategies for delivery, growth, and client satisfaction
- Perform as a Principal Consultant leading complex transformational initiatives
- Own and actively contribute to setting industry compliance standards
- Support pre-sales activities by assessing opportunities, responding to RFPs, and creating presentations
Requirements
- Deep understanding of the life sciences industry and the pharmaceutical product lifecycle from clinical research through commercialization
- Strong knowledge of business processes within life sciences sales, medical affairs, clinical operations, payor landscape, market access, and healthcare delivery
- Expertise in driving DCT programs while leveraging use cases of data such as IQVIA Xponent, LAAD, Veeva/CRM, PubMed, ClinicalTrials.gov, anonymized patient longitudinal data, ePRO, EDC, CTMS and IoMT
- Awareness of key data technology enablers that are transforming clinical research and customer engagements
- Extensive experience working with real-world data & stakeholder market research to support commercialization strategies
- Experience responding to RFPs and supporting presales opportunities
- Ability to capture, document & articulate large-scale data application requirements, including the assessment of data needs to achieve business objectives
- Knowledge of enterprise Master Data Management principles within life sciences
- Familiarity with industry compliance standards as well as data sharing and privacy rules
- Comfortable working with agile methodologies, SQL, and Python
- Exposure to cloud technologies and artificial intelligence applications
Benefits
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
- Paid Time Off - the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM
- Paid Holidays - nine (9) total per year
- Legal Plan and Identity Theft Protection
- Accident Insurance
- Employee Discounts
- Pet Insurance
- Employee Stock Purchase Program
- Participation in the discretionary annual bonus program
- Participation in the discretionary Long-Term Incentive (LTI) Program
