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!
Req.#422661017
#LI-DNI
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
Want more jobs like this?
Get jobs in Gunnison, CO delivered to your inbox every week.
- 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
- 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
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
YouTube video player
This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $150K - $220K. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.