Senior Computational Science Product Manager

3 days ago


Cambridge, Massachusetts, United States Novartis Pharmaceuticals Full time
Job Summary

We are seeking a highly skilled AD Product Manager to lead our HPC & Computational Science Environments product team. As a key member of our matrixed organization, you will be responsible for managing and evolving a high-impact product consisting of a portfolio of computational science software applications.

Key Responsibilities
  • Combine your knowledge of computational science and high-performance computing with your leadership skills to manage and evolve a high-impact product.
  • Co-lead a matrixed product team with a Product Operations Manager and an Engineering Lead to ensure initiatives contribute to an intentional, integrated, and capability-based product architecture.
  • Provide strategic context and focus to the teams, act as facilitator to prioritization, and cultivate good team-based decision-making practice to increase the value of the Product.
  • Actively and transparently manage and communicate to all key stakeholders to co-create visions and roadmaps for the initiatives you lead.
  • Define how we measure success and value delivery for the initiatives you lead.
Requirements
  • 7+ years of experience in a computational science related role in a drug discovery matrixed environment.
  • Domain expertise in a core drug discovery computational science subject area such as CADD, Structural Biology, Bioinformatics, Image Analysis, Modeling & Simulation.
  • Experience in managing complex HPC environments and technical computational understanding, including Linux expertise, HPC modules & schedulers, AWS, and SaaS.
  • Creativity in identifying, encouraging, and accelerating innovative solutions.
  • Expertise with large-scale data management and FAIR data principles in the context of computational science.
  • Agile approach and experience with Agile software development.
What We Offer

We offer a competitive salary range of $166,400.00 to $249,600.00 per year, as well as a comprehensive benefits package, including medical, financial, and paid time off benefits.

Further, final pay determinations will depend on various factors, including geographical location, experience level, knowledge, skills, and abilities.


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