Principal, Data Technology Consulting (Life Sciences)

Are you passionate about applying insights to define pharmaceutical brand strategies, including the opportunity to transform both patient and HCP engagement? Would you like a chance to do this at an enterprise level?

We are hiring a Data Technology Consultant who will work alongside a dynamic team to identify complex business problems and create solution-oriented strategies for some of the most recognized brands in the Health Care & Life Science industry. Apply now to connect with a recruiter about this influential role at EPAM!

Responsibilities

• Participate in client engagement, ensuring that projects generate tangible business value

• Coordinate with EPAM Senior Leadership to co-develop + 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 with 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

• Familiar 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

We offer

• 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 (accrual eligibility may change over time)

• Paid Holidays - nine (9) total per year

• Legal Plan and Identity Theft Protection

• Accident Insurance

• Employee Discounts

• Pet Insurance

• Employee Stock Purchase Program

• If otherwise eligible, participation in the discretionary annual bonus program

• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program