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jobs:data_science_postdoc [2020/07/01 16:49]
acallaha
jobs:data_science_postdoc [2020/07/23 19:27] (current)
acallaha
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-===== Postdoctoral Scholar Position ===== +{{  :su-logo1.jpg?nolink&100|su-logo1.jpg}} 
-==== Informatics, machine learning, and compute infrastructure management ====+ 
 +====== Data Science Fellow ====== 
 === Starting September 2020 === === Starting September 2020 ===
  
-**About us:** We are a [[http://shahlab.stanford.edu/lab_members|group]] of about twenty doctors, engineers, informatics professionals and students focused on enabling better care using existing health data. We develop novel methods to learn from patient-level health data including structured health encounter records, clinical notes, insurance claims, diagnostic imaging, and clinical trial data. A major research thrust is to answer clinical questions that enable better medical decisions using electronic health records (EHRs) and insurance claims data, via a consultation service that uses aggregate patient data at the point of care (https://shahlab.stanford.edu/greenbutton). We also have an active research program to research safe, ethical, and cost-effective strategies for predictive models to guide mitigating care actions (https://shahlab.stanford.edu/paihc). Our research group is part of the Department of Medicine at Stanford.+**About us:** We are a [[http://shahlab.stanford.edu/lab_members|group]] of about twenty doctors, engineers, informatics professionals and students focused on enabling better care using existing health data. We develop novel methods to learn from patient-level health data including structured health encounter records, clinical notes, insurance claims, diagnostic imaging, and clinical trial data. A major research thrust is to answer clinical questions that enable better medical decisions using electronic health records (EHRs) and insurance claims data, via a consultation service that uses aggregate patient data at the point of care ([[https://shahlab.stanford.edu/greenbutton|https://shahlab.stanford.edu/greenbutton]]). We also have an active research program to research safe, ethical, and cost-effective strategies for predictive models to guide mitigating care actions ([[https://shahlab.stanford.edu/paihc|https://shahlab.stanford.edu/paihc]]). Our research group is part of the Department of Medicine at Stanford.
  
-**About the position:** The primary research focus of this postdoctoral scholar position is flexible, and will involve developing and advancing methods for data-driven bedside decision making, or machine learning for health system-level improvements. An additional operational focus will involve being responsible for our group’s data analysis and compute infrastructure, including managing dataset ingestion and cleaning, database management, and supporting the cloud compute needs of our lab members. The position offers the opportunity to work with leading Stanford faculty in Informatics, Statistics, and Medicine as well as an opportunity to build real-world credibility in DataOps. +**About the position:** The primary research focus of this postdoctoral scholar position is flexible, and will involve developing and advancing methods for data-driven bedside decision making, or machine learning for health system-level improvements. An additional operational focus will involve being responsible for our group’s data analysis and compute infrastructure, including managing dataset ingestion and cleaning, database management, and supporting the cloud compute needs of our lab members. The position offers the opportunity to work with leading Stanford faculty in Informatics, Statistics, and Medicine as well as an opportunity to build real-world credibility in DataOps.
  
 **About you:** You are a hands-on team member with research experience who collaborates with medical doctors, statisticians and computer scientists to advance methods for clinical decision making using observational health data and/or improving patient care via machine learning. You will manage our data and compute infrastructure to turbo-charge the research of our entire team. You are a contributor at all levels: designing methods as well as experiments to evaluate them, implementing robust code, and coordinating with our collaborators. **About you:** You are a hands-on team member with research experience who collaborates with medical doctors, statisticians and computer scientists to advance methods for clinical decision making using observational health data and/or improving patient care via machine learning. You will manage our data and compute infrastructure to turbo-charge the research of our entire team. You are a contributor at all levels: designing methods as well as experiments to evaluate them, implementing robust code, and coordinating with our collaborators.
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   * working in a team of researchers   * working in a team of researchers
  
-You meet **all** of the following requirements:+You meet **all**  of the following requirements:
  
-  * PhD in CS, medical informatics, bioinformatics or computer science+  * PhD in CS, medical informatics, bioinformatics or related quantitative discipline
   * experience in processing and analyzing large datasets   * experience in processing and analyzing large datasets
   * 3+ years database management experience   * 3+ years database management experience
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   * excellent written and oral communication in English, with at least one peer-reviewed first-author manuscript   * excellent written and oral communication in English, with at least one peer-reviewed first-author manuscript
  
-You meet **some** of the desired qualifications:+You meet **some**  of the desired qualifications:
  
   * 1+ years of experience analyzing health data, such as insurance claims and EHRs   * 1+ years of experience analyzing health data, such as insurance claims and EHRs
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   * GCP system administration   * GCP system administration
  
-**Interested?** Please contactacallaha [at] stanford [dot] edu+**Interested?**  Send a cover letter, CV, and the contact information of 2+ references to acallaha [at] stanford [dot] edu
  
jobs/data_science_postdoc.1593647365.txt.gz · Last modified: 2020/07/01 16:49 by acallaha