Research Data Analyst 2 (2 Year Fixed Term)

📁
Information Analytics
📅
91272 Requisition #

The Stanford Center for Population Health Sciences (PHS) is seeking a Research Data Analyst 2 (2 Year Fixed Term) for data management, data analysis, and data science work focused on population health and health equity. Initially, the Research Data Analyst will work on a COVID-19 project that represents a collaboration between the American Board of Family Medicine (ABFM), the Centers for Disease Control and Prevention (CDC) and PHS. ABFM, in partnership with PHS, has created a dataset that includes 600 EMR records from 3000 primary care clinics across the US (oversampled from rural areas). Utilizing this dataset, the main research includes monitoring COVID-19 hot spots and trends, and to obtain the analytic products and deliverables to inform the COVID-19 emergency public health response. on a large dataset of medical records from health facilities from most states in the U.S. Although this is a fixed-term position there is strong possibility that it will be extended or converted into a permanent position.

 

This position will be primarily responsible for managing and analyzing large, confidential databases, including programming comfortably using statistical packages. The Research Data Analyst is expected to have experience working in a cloud environment and learning machine learning techniques. Under minimal supervision, she/he/they will communicate results in code, orally, and in writing to internal and external researchers and stakeholders. This position will also be expected to create new databases and data management procedures, including data security, as well as train and update other researchers and staff on these procedures. In addition, the position requires good project management skills, helping to move the current project forward and assisting in the design and management of new projects.

 

About Center for Population Health Sciences

 

We enter the world with a set of genes that determine many factors of our health. From that moment forward, every aspect of our lives affects our health. There is unequivocal evidence that social, environmental, and behavioral factors are by far the strongest predictors of health and disease. Founded in 2015, the Stanford Center for Population Health Sciences' (PHS) mission is to improve population health by bringing together diverse disciplines and data to better understand and address the social and environmental determinants of health.

 

Duties include:

  • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
  • Determine additional data collection and reporting requirements.
  • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
  • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
  • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
  • Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
  • Provide documentation based on audit and reporting criteria to investigators and research staff.

* - Other duties may also be assigned

 

DESIRED QUALIFICATIONS:

  • Minimum 2 years of experience with Python programming and its data analysis packages.
  • Expertise in SQL for data management and data analysis.
  • Expertise and experience conducting statistical analyses.
  • Experience using cloud environment such as Google Cloud or AWS is a plus.
  • Experience working with large datasets is a plus.
  • Academic or practical training in public health epidemiology, research methodology, database construction, and biostatistics is a plus.

 

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

 

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

  • Substantial experience with MS Office and analytical programs.
  • Excellent writing and analytical skills.
  • Ability to prioritize workload.

 

CERTIFICATIONS & LICENSES:

None

 

PHYSICAL REQUIREMENTS*:

  • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
  • Occasionally use a telephone.
  • Rarely writing by hand.

* - 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:

Some work may be performed in a laboratory or field setting.

 

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, http://adminguide.stanford.edu

 

My Submissions

Track your opportunities.

My Submissions

Similar Listings

School of Medicine, Stanford, California, United States

📁 Information Analytics

School of Medicine, Stanford, California, United States

📁 Information Analytics

School of Medicine, Stanford, California, United States

📁 Information Analytics

Global Impact
We believe in having a global impact

Climate and Sustainability

Stanford's deep commitment to sustainability practices has earned us a Platinum rating and inspired a new school aimed at tackling climate change.

Medical Innovations

Stanford's Innovative Medicines Accelerator is currently focused entirely on helping faculty generate and test new medicines that can slow the spread of COVID-19.

Technology

From Google and PayPal to Netflix and Snapchat, Stanford has housed some of the most celebrated innovations in Silicon Valley.

Advancing Education

Through rigorous research, model training programs and partnerships with educators worldwide, Stanford is pursuing equitable, accessible and effective learning for all.

Working Here
We believe you matter as much as the work

Group Dance Class In A Gym
Nora Cata Portrait

I love that Stanford is supportive of learning, and as an education institution, that pursuit of knowledge extends to staff members through professional development, wellness, financial planning and staff affinity groups.

Nora Cata

School of Engineering

Students Working With A Robot Arm
Philip Cheng Portrait

I get to apply my real-world experiences in a setting that welcomes diversity in thinking and offers support in applying new methods. In my short time at Stanford, I've been able to streamline processes that provide better and faster information to our students.

Philip Cheng

School of Medicine

Students Working With A Robot Arm
Denisha Clark Portrait

Besides its contributions to science, health, and medicine, Stanford is also the home of pioneers across disciplines. Joining Stanford has been a great way to contribute to our society by supporting emerging leaders.

Denisha Clark

School of Medicine

Students Working With A Robot Arm
Laura Lind Portrait

I like working in a place where ideas matter. Working at Stanford means being part of a vibrant, international culture in addition to getting to do meaningful work.

Laura Lind

Office of the President and Provost

Getting Started
We believe that you can love your job

Join Stanford in shaping a better tomorrow for your community, humanity and the planet we call home.

  • 4.4 Review Ratings
  • 89% Recommend to a Friend
  • 90% Approve of President

View All Jobs