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85498 Requisition #

Stanford Graduate School of Business    

Residing in Silicon Valley, the heart of innovation, Stanford GSB has built a global reputation based on its immersive and innovative management programs. We provide students a transformative leadership experience, push the boundaries of knowledge with faculty research, and offer a portfolio of entrepreneurial and non-degree programs that deliver global impact like no other. We strive to change lives, change organizations, and change the world.

 

As a Research Computing Specialist, you will draw on both deep technical knowledge and interpersonal skills to facilitate and accelerate academic research at the Stanford University Graduate School of Business (GSB).

 

You will join a team of research analytics scientists, data engineers, and project managers on the Data, Analytics and Research Computing (DARC) team to support research at the GSB.  Your clients will include GSB faculty and collaborators who are drawn from a broad spectrum of academic backgrounds, research interests, methodological specialties, and technical backgrounds.  As a Research Computing Specialist, you will bring the ability to understand the ecosystem of research computing resources and partner with researchers to use these resources effectively.  You should enjoy working directly with researchers, and be equally comfortable introducing novices to research computing systems and helping advanced users optimize their workflow.

 

Your role will require you to understand the faculty member’s research goals and solve problems they face in:

      Creating and securely sharing datasets across multiple systems

      Transforming data for use with statistical software and analytics tools

      Selecting the correct platform for analyzing large structured and unstructured datasets

      Transitioning from using personal computers to research servers

      Learning best practices for diverse research computing environments

      Optimizing and accelerating research code

      Leveraging high performance computing and parallel processing

 

In addition to supporting individual researchers, you will be expected to contribute significantly to other long-range projects to improve the research support ecosystem, including:

 

      Understanding the utilization of our research computing infrastructure

      Developing tools to audit data access, system use and system performance

      Creating training materials, documentation and presentations

      Growing our research computing portfolio to support cutting edge computational research

 

We are a team of data enthusiasts that possess an insatiable curiosity for data, research and technology. We bring dedication to our work, and a commitment to growth and balance on our team. Expect to work with bright minds on challenging problems, continually evaluate emerging tools, and apply new techniques in research computing.  As these technologies and research questions evolve, so will your role.
 

Your primary responsibilities include:
  • Work closely with researchers to understand their data and computation requirements for existing and future research computing projects
  • Collaborate with IT professionals to design research computing systems that are scalable, optimized and fault-tolerant.
  • Develop, test, implement, and maintain system monitoring applications. Collaborate with researchers to optimize and tune research applications.
  • Contribute to the development of guidelines, standards, and processes to ensure the security of systems and data appropriate to risk.
  • Work with staff members and researchers to understand the types of data collected and how to integrate research workflows across various databases and data warehouses.
  • Research and suggest new toolsets/methods to improve data ingestion, storage, processing, and access.
  • Be flexible to completing any other additional assigned duties.

To be successful in this position, you will bring:

  • Bachelor’s degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience.
  • Knowledge of key data structures, algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP).
  • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques.
  • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch processing with scheduler systems).
  • Ability to analyze research systems and data pipelines and propose solutions that leverage existing and emerging technologies.
  • Ability to collaboratively research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable research platforms.
  • Ability to document use cases, solutions and recommendations.
  • Demonstrated excellence in written and verbal communication skills.

In addition, our preferred requirements include:

      Experience supporting data management and analysis in Python, R, Matlab, and/or Stata on Unix-based systems

      Experience with git-based version control for collaboration and tracking.

      Familiarity with all aspects with research data security, including deidentification, network and file system ACLs, IRB compliance, etc.

      Research experience in the computational social sciences, applying methods such as bootstrapping, network analysis, hierarchical modeling and numerical optimization.

      Experience executing workloads on scheduled HPC systems, interactive Linux systems and cloud-based platforms such as Databricks or Amazon EMR

      Experience monitoring system processes using both command-line tools and platforms such as Splunk and InfluxDB

      Ability to work independently and manage time effectively in a fast-paced environment with unpredictable workflows.

      Demonstrated commitment to continual learning and professional growth.

 

*Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. 


Why Stanford is for You

Stanford’s dedicated 16,000 staff come from diverse educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy, and improve lives on a global sphere. We provide competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our generous perks align with what matters to you:

  •  Freedom to grow. Take advantage of career development programs, tuition reimbursement, or audit a course. Join a Ted Talk, film screening, or listen to a renowned author or leader discuss global issues.
  • A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care and caregiving support.
  • A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes.
  • Discovery and fun. Visit campus gardens, trails, and museums.
  • Enviable resources. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computers, cell phones, recreation, travel, entertainment, and more! 

We pride ourselves in being a culture that encourages and empowers you.


How to Apply

We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, please submit a cover letter and résumé along with your online application.

 

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Graduate School of Business, Stanford, California, United States

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