📁
Information Analytics
📅
106151 Requisition #

The Department of Ophthalmology at Stanford University School of Medicine is seeking a highly motivated, hard-working and professional Data Scientist to facilitate research efforts in ophthalmology. The incumbent will be part of the department of ophthalmology: however, the position will be in a collaborative environment, engaging with other Stanford faculty and staff across multiple departments, including Biomedical Informatics, Research IT, and Research Informatics Center. The incumbent will work. with a combination of structured and unstructured (text, imaging) data from several sources, including Stanford’s STARR and STARR-OMOP clinical research databases, the ophthalmology IRIS (Intelligent Research In Sight) national clinical data registry, commercial and Medicare claims data, national survey data, and other sources.

 

The position will require an incumbent who is comfortable working with some independence; consulting with and advising investigators to refine research questions, define hypotheses and project objectives, design studies and devise analysis plans; and

working with project team members—including clinicians, trainees, and other statisticians/informaticists—to implement analysis plans and publish findings. The incumbent must be proficient at balancing involvement in multiple simultaneous projects and prioritizing to manage competing priorities. The incumbent will work closely with others to interrogate databases to create analytic files, perform quality control and data cleaning, and manage and analyze data. The incumbent must be an excellent and timely communicator, able to present results in oral and written form to clinical investigators.

Duties include:

  • Collect, manage and clean datasets.
  • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
  • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
  • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
  • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
  • Analyze data processes in documentation.
  • Collaborate with faculty and research staff on data collection and analysis methods.
  • Provide documentation based on audit and reporting criteria to investigators and research staff.
  • Communicate with government officials, grant agencies and industry representatives. 
  • - Other duties may also be assigned

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 for 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.

 

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.

 

The expected pay range for this position is $82,468 to $106,256 annually. 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.

DESIRED QUALIFICATIONS:

  • Strong background in machine learning, biostatistics, and bioinformatics
  • Intellectually curious; willing and eager to learn new skills
  • Experience with large datasets and database use
  • Experience with analysis of real-world observational health data (e.g., electronic medical records, insurance claims)
  • Manipulation and analyses of complex high-dimensional data
  • Ability to perform careful data cleaning and preparation, including: identifying and handling data discrepancies, duplicates, missing values, outliers, etc; developing cohorts of patients based on inclusion and exclusion criteria, such as those based on billing code diagnoses, age or other demographics, length of follow-up, or other characteristics; creating new variables, including coding relevant outcomes, combining sparse variables, normalizing/standardizing variables; merging datasets on multiple key values; reshaping data from long to wide or vice versa as the befits the analysis needs; loading data into analysis programs, saving data into different file formats
  • Experience with at least 2 of the following: 1) Machine learning predictive models (gradient boosted trees, random forest etc.); 2) Deep learning neural networks, transfer learning; 3) Hierarchical/multilevel modeling, propensity score matching/weighting 4) Convolutional neural networks
  • Experience with free-text data (e.g., natural language processing) is a plus, or else willingness to learn
  • Use of R or SAS (preferred) or STATA

 

EDUCATION & EXPERIENCE (REQUIRED): 

Bachelor's degree or a 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.
  • Strong 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.

Additional WORKING CONDITIONS: May work extended or non-standard hours based on project or business cycle needs.

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.

Phillip Cheng

Office of the Vice Provost for Student Affairs

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.

  • 4.2 Review Ratings
  • 81% Recommend to a Friend

View All Jobs