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hiring [2021/02/02 15:47] jfries |
hiring [2021/02/09 16:01] jfries [Position 2: Machine Learning Engineer for release and enhancement of EHR representation learning software] |
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- | ====== Open positions for Graduate | + | ====== Open positions for Research Assistantships ====== |
Contact: Jason Fries, jfries@stanford.edu | Contact: Jason Fries, jfries@stanford.edu | ||
Please provide the following when applying: | Please provide the following when applying: | ||
+ | |||
* Cover Letter | * Cover Letter | ||
* CV or Resume | * CV or Resume | ||
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===== Position 1: Machine Learning Engineer for point of care model deployments ===== | ===== Position 1: Machine Learning Engineer for point of care model deployments ===== | ||
- | **Description** \\ | + | **Description** \\ We are looking for a Machine Learning Engineer / Data Scientist to work on exciting challenges at the intersection of Machine Learning and Healthcare. This is a unique opportunity to be working on Machine Learning models deployed on live Electronic Health Record data which enable and support various hospital functions and clinical workflows impacting patient care each day. (see [[https:// |
- | We are looking for a Machine Learning Engineer / Data Scientist to work on exciting challenges at the intersection of Machine Learning and Healthcare. This is a unique opportunity to be working on Machine Learning models deployed on live Electronic Health Record data which enable and support various hospital functions and clinical workflows impacting patient care each day. (see [[https:// | + | |
**Responsibilities** | **Responsibilities** | ||
- | * Understanding clinical requirements and translating them into technical problem statements. | + | |
* Communicating results and observations to technical audiences as well as clinicians in the form of visualizations, | * Communicating results and observations to technical audiences as well as clinicians in the form of visualizations, | ||
* Designing and implementing machine learning models to solve real world problems. | * Designing and implementing machine learning models to solve real world problems. | ||
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**Requirements** | **Requirements** | ||
- | * 5+ years of experience in software design and development. | + | * 3+ years of experience in software design and development. |
* 2+ years of hands-on experience using Python based machine learning libraries such as scikit-learn, | * 2+ years of hands-on experience using Python based machine learning libraries such as scikit-learn, | ||
* Experience working in a Linux environment and being comfortable with UNIX command line tools. | * Experience working in a Linux environment and being comfortable with UNIX command line tools. | ||
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---- | ---- | ||
- | ===== Position 2: Software engineer | + | ===== Position 2: Machine Learning Engineer |
**Description** | **Description** | ||
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* Developing robustness evaluations of EHR-based representation models | * Developing robustness evaluations of EHR-based representation models | ||
* Contrastive learning with multi-modal EHR data (text + tabular data) | * Contrastive learning with multi-modal EHR data (text + tabular data) | ||
+ | |||
+ | **Responsibilities** | ||
+ | * Discuss API needs with lab stakeholders and clinical collaborators | ||
+ | * Developing and documenting code for open source release | ||
+ | * Running experiments for clinical model evaluation. | ||
+ | * Communicating results and observations to technical audiences as well as clinicians in the form of visualizations, | ||
**Required Skills** | **Required Skills** | ||
- | * 5+ years of experience in software design and development. | + | * 3+ years of experience in software design and development. |
* 2+ years of hands-on experience using Python based machine learning libraries such as scikit-learn, | * 2+ years of hands-on experience using Python based machine learning libraries such as scikit-learn, | ||
* Strong communication skills and prior research experience required | * Strong communication skills and prior research experience required |