(Senior) Research Computing and Analytics Associate

MINIMUM REQUIREMENTS

This role can either be classified as an Associate or a Senior Associate level based on the applicant’s education and experience. Human Resources will review and verify the stated qualifications of the selected applicant to determine the appropriate level.

• Bachelor’s degree and a minimum of five years of relevant experience in computer science, or engineering or a combination of education and relevant experience.
• Knowledge of key data transfer, data warehousing, data storage technologies, and ETL techniques pertinent to large structured and unstructured datasets and research data workflows.
• Ability to support custom-built ETL, auditing, and scheduling programs (i.e. programmatically process data, transform and load into a data warehouse).
• Experience with research software written in one or more of R, Stata, Matlab, SAS, Julia, and JavaScript.
• Experience with data processing at scale and a basic understanding of which tools are appropriate at which times.
• Knowledge of key database technologies (relational databases and SQL).
• Ability to analyze research systems and data pipelines and propose solutions that leverage existing and emerging technologies and to collaboratively research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable data ETL pipelines.
• Excellent problem-solving capabilities and creativity in developing bespoke solutions.
• Strong interpersonal and communication skills for effective collaboration with a diverse group of stakeholders.
• Interface with customers from across Stanford GSB and GSB Library to understand their requirements and deliver the data solutions they need.
• Continuous learner committed to understanding the latest technologies and research methodologies, including research computing.
• Service-oriented and empathetic, comfortable helping researchers of varying skill levels.
• Possess at least 1 year of relevant experience in a research or academic setting, demonstrating a track record of applying data engineering techniques to handle various data.

Additional Desired Skills for the Associate role:

• Bachelor’s degree in computer science, data science, statistics, or a related field. Master’s degree preferred.
• Strong programming skills in Python.
• Ability to identify data application performance bottlenecks and tune performance (i.e., demonstrated experience in data modeling, advanced SQL, writing, debugging, and performance tuning).
• Experience facilitating large data transfers and ETL projects, including Globus, rclone, and SFTP servers, and/or experience in building and maintaining data warehouses.
• Familiarity with all aspects of research data security, including deidentification, network and file system ACLs, IRB compliance, etc.
• Experience executing workloads on interactive Linux systems and cloud-based platforms (AWS and/or BigQuery) and/or experience with high-performance/systems languages and techniques.
• Demonstrated commitment to continual learning and professional growth.
• Ability to work independently and manage time effectively in a fast-paced environment with unpredictable workflows.

In addition to the desired skills mentioned above, the Senior Associate role:

• Bachelor’s degree and a minimum seven years of relevant experience in computer science, or engineering or a combination of education and relevant experience. Master's degree in computer science, data science, statistics, or a related field preferred.
• High level of proficiency in data science and machine learning methodologies and tools.
• Experience with research software written in one or more of R, Stata, Matlab, SAS, Julia, JavaScript.
• Experience with data processing at scale and an understanding of which tools are appropriate at which times.
• Familiarity with text and image processing techniques (OCR, NLP, regex, image classification).
• Ability to develop and deploy full-stack applications and API integrations for a research setting.
• Excellent problem-solving capabilities and creativity in developing bespoke solutions.
• Strong interpersonal and communication skills for effective collaboration with a diverse group of stakeholders.
• Continuous learner committed to understanding the latest technologies and research methodologies, including research computing.
• Service-oriented and empathetic, comfortable helping researchers of varying skill levels.
• Possess at least 3 years of relevant experience in a research or academic setting, demonstrating a track record of applying data science and machine learning techniques to solve complex problems.

The expected pay range for this position is $111,142-$140,000 per year for the Associate position and $145,282-$155,000 per year for the Senior Associate position. This position is open to a hybrid work agreement which requires the selected applicants to work on campus eight days a month. However, due to the nature of the position, applicants must be on-site during events.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

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 course audits. Join a TedTalk, or 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.

* The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.