Biomedical Informatician

A research lab in the Division of Biomedical Informatics Research at Stanford School of Medicine is seeking highly motivated individuals for multi-disciplinary research in computational health services research/public health informatics. The projects will utilize electronic health records (EHRs) to assess the quality of healthcare delivered and provide evidence that can be used to improve patient care using state-of-the-art technologies across one or more health care settings. These individuals will work with, and lead teams of postdocs and graduate students focused on healthcare quality and population health. The incumbent will, with some independence, consult with investigators to refine research questions, define hypotheses, design studies and devise analysis plans. Work with senior statistician(s) to implement analysis plan and publish findings. Duties include: Design study.  Develop and implement protocol for quality control. Create analytic files with detailed documentation. Select appropriate statistical tools for addressing a given research question. Implement data analysis through statistical programming.  Present results for investigators using graphs and tables. Summarize findings orally and in written form. Participate in the preparation of papers for publication. Consult with investigators on appropriate statistical approaches to data analyses; assist in study design and proposal development. Mentor collaborators in areas of experimental design, quality control, and statistical analysis  Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles. Oversee lower-level staff on issues related to quality control and creation of analysis files. - Other duties may also be assigned. DESIRED QUALIFICATIONS: PhD in biomedical informatics, computer science, biostatistics or health services research. Strong background in machine learning, biostatistics and bioinformatics. Experience with large datasets and database use. Experience with analysis of electronic medical data. Manipulation and analyses of complex high-dimensional data. Programming (python, R, Javascript, C++) and database skills (SQL). Experience with deep learning approaches. Industry experience as a data scientist a plus. Demonstrated ability to implement machine learning models in scalable format for broad applicability. Strong communication and presentation skills. 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.  Skills in descriptive analysis, modeling of data, and graphic interfaces. Outstanding ability to communicate technical information to both technical and non-technical audiences. Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator). 80208
Salary Range: NA
Minimum Qualification
Less than 5 years

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