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Sr. Manager, Scientific Computing

Inari
United States, Massachusetts, Cambridge
1 Kendall Square (Show on map)
June 06, 2024

About Inari...

Inari is the SEEDesign company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation - to push the boundaries of what is possible. Through our unrivaled technology platform, Inari uses predictive design and advanced multiplex gene editing to develop step-change products. We are taking a nature positive approach to unlock the full potential of seed that will transform the food system. The results will lead to more productive acres delivering value creation for farmers and a more sustainable future for our planet.

Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.

We have over 300 employees, with research sites in Cambridge, MA (USA) and Ghent (Belgium), as well as a product development site in West Lafayette, IN (USA). We've deliberately built a team that brings diversity of thought to all aspects of our business, to generate new ideas, approaches, and ways of operating. And we've intentionally combined experience with potential, bringing agriculture industry experts with the desire to innovate together with bright minds from academia, human therapeutics, software, and consulting. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet's natural resources, we'd love to hear from you!

We are seeking an experienced and dynamic Senior Manager of Scientific Computing to lead our global scientific computing initiatives. This role will focus on supporting and enhancing our capabilities in machine learning operations (MLOps), scientific computing, bioinformatics computing, and pipeline management. The ideal candidate will have a strong background in computational science, experience in managing high-performing teams, and a passion for advancing scientific research through technology.

Key Responsibilities:



  • Leadership and Strategy: Lead a team of scientific computing professionals. Develop and implement strategies to support the computational needs of global research initiatives.
  • MLOps Support: Oversee the development and maintenance of machine learning models, ensuring robust, scalable, and efficient operations.
  • Scientific Computing: Manage and enhance computational resources and services for diverse scientific research projects.
  • Bioinformatics Computing: Provide specialized support for bioinformatics computing, including data analysis, visualization, and interpretation.
  • Pipeline Management: Develop and maintain efficient data processing pipelines to support large-scale scientific research.
  • Collaboration: Work closely with researchers, IT staff, and external partners to ensure the alignment of scientific computing resources with research objectives.
  • Innovation: Keep abreast of emerging technologies and trends in scientific computing and MLOps, and integrate innovative solutions into our operations.
  • Global Support: Ensure the availability, reliability, and scalability of computing resources for a global user base.
  • Budget Management: Manage the budget for scientific computing resources and infrastructure.


Qualifications:



  • Bachelor's or Master's degree in Computer Science, Bioinformatics, or a related field. PhD is a plus.
  • At least 5 years of experience in scientific computing, with a focus on MLOps and bioinformatics.
  • Experience in managing and leading technical teams.


  • Strong knowledge of data processing pipelines, cloud computing, and big data technologies.
  • Experience with machine learning tools and frameworks.
  • Excellent problem-solving and project management skills.
  • Strong communication and interpersonal skills.


FOR U.S. CANDIDATES:Please note that we use the resume you submit with your application during our background check process. To ensure an efficient and accurate background verification, we kindly ask that you carefully review and accurately represent your work history, education and other relevant information on your resume. Any discrepancies or inaccuracies found during the background check may impact your candidacy for the position.

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