Data Engineer

Stanford University

Job Number: 87352

The Stanford University Clinical Excellence Research Center (CERC) strives to lower healthcare spending in the United States by designing, pilot testing, and evaluating innovative models of care delivery. Our design work is enabled by research in areas including human factors, artificial intelligence, and positive deviance. CERC has partnered with the Stanford School of Engineering for its PAC program. The PAC research mission is to deliver Artificial Intelligence based healthcare service delivery solutions that improve cost efficiency and healthcare quality. To disseminate insights from this cutting edge work, CERC and various sponsors are collaborating to translate these findings into practical solutions and evaluate the effectiveness of these interventions on quality and cost.

CERC is seeking a Data Engineer to provide highly specialized technical research and support, expert instruction, and consultation; identify and design solutions to a wide range of unique problems and other research and development activities. This position will work in collaboration with faculty, senior research staff members, and graduate students. Please provide a link to your Github portfolio, or equivalent, on your resume.

Duties include:

• Design, develop and implement complex and specialized computer vision technologies in multiple healthcare domains: includes contributing to RFP process and technical specifications development. Oversee technical installation requirements.
• Develop research mechanisms to collect and store data; work with multiple stakeholders to facilitate preprocessing and analysis of data.
• Implement pipelines for data collection and data repositories to enable analysis from clinical entities for Stanford Healthcare and external partners.
• Contribute technical expertise to hardware, software, and algorithm development.
• Design detailed and high-level communication materials relating to data collection and preprocessing pipelines for internal and external audiences.
• Lead computer vision hardware updates and maintenance in conjunction with sensor vendors and clinical staff.
• Guide Computer Science students on technical and non-technical (e.g., communications, literature reviews) aspects of research projects.

*- 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.

DESIRED QUALIFICATIONS:

• Master's degree in a related field (e.g., Computer Science and Engineering, Electrical Engineering, Data Science).
• Thorough knowledge of the principles of engineering and health sciences.
• Knowledge of computer vision models and techniques.
• Understanding of computer vision data annotation pipelines.
• Python programing, scikitlearn, and pytorch.
• Knowledge of multi-process and multi-thread programming.
• Data science methods and big data processing knowledge.
• Knowledge of cloud computing services and technologies.
• Demonstrated project management experience.
• Ability to effectively communicate technical information to a broad, layperson audience.

EDUCATION & EXPERIENCE (REQUIRED):

• Bachelor's degree and three years of relevant experience, or combination of education and relevant experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Demonstrated ability to prioritize own work and multitask.
• Demonstrated excellent organizational skills.
• Demonstrated ability to take initiative and ownership of projects.
• Ability to communicate effectively both orally and in writing.
• Ability to routinely and independently exercise sound judgment in making decisions.
• Demonstrated experience working independently and as part of a team.
• Relevant subject matter knowledge.

PHYSICAL REQUIREMENTS*:

• Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.
• Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.
• Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds.

* - 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.

WORKING CONDITIONS:

• May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights ?10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather.
• May require travel.

WORK STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, https://adminguide.stanford.edu.

Why Stanford is for You:
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:

• Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
• A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
• A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
• Discovery and fun. Stroll through historic sculptures, trails, and museums.
• Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.

*- 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.
Additional Information

• Schedule: Full-time
• Job Code: 4102
• Employee Status: Regular
• Grade: E
• Department URL: http://ophthalmology.stanford.edu/
• Requisition ID: 87352

Job:

Location: School of Medicine, Stanford, California, United States
Schedule:
Classification Level:

To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu

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







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