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Information Analytics
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86845 Requisition #
Thanks for your interest in the Data Scientist (2 Year Fixed Term) position. Unfortunately this position has been closed but you can search our 629 open jobs by clicking here.

DESIRED QUALIFICATIONS:

  • Strong background in machine learning, biostatistics, and bioinformatics
  • 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, 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
  • Experience with free-text data (e.g., natural language processing) is a plus, or else willingness to learn

EDUCATION & EXPERIENCE (REQUIRED): 

Master's degree in biostatistics, statistics or related field and at least 3 years of experience.


KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
  • Proficient in at least two of R, SAS, SPSS, or STATA for statistical analyses and visualization.
  • Proficient in SQL
  • Python experience or willingness to learn quickly, including packages such as Jupyter Notebook, matplotlib, pandas, scikit-learn, tensorflow/keras
  • Able to use GitHub, write reusable and well-documented code
  • Outstanding ability to communicate in written and oral English how data analyses were performed, to both technical and non-technical audiences.
  • Demonstrated excellence in at least one area of expertise, which may include statistical methodology such as missing data, survival analysis, or informatics; statistical computing; database design (e.g., Oracle datases, SQL); predictive modeling (machine learning and deep learning).


PHYSICAL REQUIREMENTS*: 

  • Frequently perform desk based computer tasks, seated work and use light/ fine grasping.
  • Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 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 work extended or non-standard hours based on project or business cycle needs.

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.

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