Project Manager

Introduction

Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms – Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ – enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations. With customers in over 75 countries, Axtria is one of the biggest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every associate is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?

Responsibilities And Accountabilities

  • Design and execute health economic and outcomes research studies including economic modelling (e.g., cost effectiveness analysis, budgetary impact model, etc) and retrospective database studies
  • Design search strategies to retrieve relevant evidence from the scientific literature
  • Draft and review technical reports (modelling and RWE studies) & HEOR abstracts/manuscripts, systematic literature review/meta-analysis reports, value dossiers and other HEOR deliverables
  • Proactively and independently contribute to research planning process and resolution of complex issues
  • Prepares technical presentations to internal and external stakeholders.
  • Developing expertise in HEOR/RWE through publications and presentations of scientific research.
  • Advanced expertise in HEOR/RWE through ongoing training, competitor monitoring, sharing best practice and appropriate use of consultants.

Required Skills And Capabilities

  • A minimum of 3+ years of HEOR in depth specialist knowledge and experience at an international level including database analysis and economic modelling in a healthcare consulting organization or a life science company
  • Problem solving capability
  • Well-developed conceptual thinking with capability to access internal and external resources for advice.
  • Proactive application of therapeutic area and disease treatment knowledge
  • Able to implement projects including key stakeholders with high degree of autonomy
  • Excellent written and verbal communication skills
  • Knowledge and experience in performing inferential statistics including ML/AL
  • Working knowledge of Python, R, Visual Basic, Word, Excel, and PowerPoint

Organizational Behaviors

  • Requires high level of interactive communication including challenges to conceptual thinking as necessary.
  • Proven teamwork and collaboration skills
  • Well-developed cultural sensitivity
  • Effectively represents the company externally to key stakeholders.

Educational background

  • Bachelor’s degree in clinical, biological, or social sciences
  • Master’s degree in relevant field (outcomes research, health services research, epidemiology, health economics, health policy or related fields)
  • Doctoral degree in relevant field preferred

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