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Scientific Computing Lead - Data Engineer at Woods Hole Research Center (Falmouth, MA)

At the Woods Hole Research Center our mission is to advance scientific discovery and seek science-based solutions for the world’s environmental and economic challenges through research and education.  We have been named the world's #1 climate change think tank for four years in a row.  We require state of the art computing systems for our scientists to meet that need.  We seek an experienced scientific computing lead to manage its public and private cloud resources. The successful candidate will work closely with our scientists to optimize their processing workflows. This is not your typical technical position. This role is integral to WHRC’s mission of investigating the causes and effects of climate change. The ideal candidate will have passions for both high performance computing and climate solutions. Time away from the desk to travel for workshops and scientific field expeditions will be an integral and rewarding part of this position. Building a close relationship with scientific teams will be paramount to success.  We would like this individual to begin as soon as possible.  


  • Provide technical leadership and training to all staff.

  • Work closely with scientific teams to streamline scientific computing workflows for cloud computing environments.

  • Design, develop, and deliver scalable data management and processing architectures.

  • Optimize and support our existing private cloud agreement.

  • Manage our public cloud billing and resource usage at the project level.

  • Identify technology gaps/risks and establish mitigation strategies.

  • Generate metrics to facilitate an understanding of computational strategies and efficiency.

  • Maintain and optimize custom software stack.

  • Setup, training, and orientation for new users.

  • Write tutorials and lead training sessions on programming and data management best practices.

  • Attend workshops, conferences, and scientific field expeditions to build further expertise as well as rapport with scientific staff.

  • Remain up to date with cutting edge methods and proactively work to implement them at WHRC.

Desired Qualifications and Experience:

  • A Bachelor’s degree in computer science, information technology, or other quantitative field.

  • 5 or more years of relevant experience, ideally in a scientific computing environment.

  • Ability to design informative and accessible technical training materials.

  • Proven deep technical background including Linux administration.

  • Ability to work in a demanding environment with minimal supervision.

  • Strong track record of implementing cloud-based processing techniques.

  • Administration experience with Azure, AWS, Google Cloud or one of the other major IaaS providers. Google Cloud Platform preferred.

  • A passion for data science including knowledge of at least one high-level programming language. Python and/or R are preferred.

  • Familiarity with database usage and basic administration tasks.  PostgreSQL preferred.

  • Experience leveraging established distributed computing frameworks such as Apache Spark and Hadoop.

  • Experience handling large volumes of spatiotemporal data.

Classification and Compensation: This is a full-time, salaried, exempt position.  WHRC offers a competitive salary as well as a very generous benefit package.  Salary is negotiable.  

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