We are seeking a Scientific Project Manager for our pharmaceutical client located in Rahway, NJ. The Scientific Project Manager will be responsible for summarizing and analyzing internal HTA data. The ideal candidate will have working knowledge of the pharmaceutical regulatory environment.
Location: Rahway, NJ
Shift: Hybrid – 3 days onsite per week required
Pay: $55-$60 per hour
Type: 12-month contract
Responsibilities
- Collate, clean, validate and integrate data on Health Technology Assessment (HTA) Submission Tracking from multiple sources
- Summarize HTA Submission Tracking information for executive and detailed reporting (slides, Qlik Sense dashboard and define requirements for IT to develop a customized report in an existing web-app)
- Compare internal HTA data and other external resources/repositories
- Analyzing and cleaning data related to HTA planning needs from a customized web app, in collaboration with multiple stakeholders (including monitoring of related ongoing clinical trials and regulatory filing opportunities imported from other internal sources)
- Support to automate data collection for HTA Submissions and for some scoping activities in relation to EU HTA Regulation
- Support with development activities for the internal HTA tracking web app (business requirements definition and design review only, no design and coding)
- Lead data governance and generic data quality initiatives
- Project management support in defining the work plan and tracking HTA related projects with multiple stakeholders
- Ad hoc HTA analysis (business driven)
- Support to describe, review and adjust internal process related to HTA.
- Support to evaluate impact of evolving HTA regulations on internal process.
- Develop and review training material.
Qualifications
- Bachelor’s degree in scientific, business, ore related health care area. Master's degree Preferred.
- 4-5 years working experience, preferably related to the pharmaceutical regulatory / HTA / market access environment
- Data analysis capability, comfortable with data and big data management
- Knowledge of MS Office package
- Process-oriented, accurate and detailed
- Flexible and open minded
- Excellent written, verbal, and interpersonal communication skills
- Ability to lead and manage working teams without formal reporting structure
- Ability to collaborate across functional areas and geographic boundaries
- Strong project management and prioritization skills with demonstrated ability to deliver on operational objectives for complex projects, portfolio planning and project management
- Highly motivated, able to work independently and collaboratively, raising issues with recommendations for solutions
- Understanding of Real World health outcomes research/observational research