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Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
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  4. Click Websites.
  5. On the left, click Content Blockers.
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  2. Click. then Settings.
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  5. Click JavaScript.
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  1. Go to Settings.
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  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Research Analyst / Scientist

Salary undisclosed
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A machine learning-focused research position is available in the Aghaeepour lab for a candidate passionate not only about developing, but also deploying AI/ML models in real-world applications. This role offers the unique opportunity to work at the intersection of healthcare and machine learning, with direct access to clinical data, industry-leading tools, and experts in AI, and healthcare IT. Our research spans high-impact areas such as predictive analytics ,immune fitness, and the optimization of clinical workflows. Particular areas of interest include pregnancy and neonatology. We are committed to translating cutting-edge research into scalable, real-world solutions that drive meaningful improvements in patient care. We encourage (and financially support) our postdoctoral fellows to receive extensive training in entrepreneurship and business management from Stanford’s School of Business. This is an excellent opportunity for a candidate who is not only interested in participating in state-of-the-art academic research, but is also interested in exploring industrial and entrepreneurial career trajectories. Applicants from diverse backgrounds are strongly encouraged to apply.

- To receive full consideration, please apply using the following Google Form: https://docs.google.com/forms/d/e/1FAIpQLSdgPBJi028fNIVrbXrXFhDXRbc0gXeIN8wcHjQKKiObPJDmNA/viewform?usp=sf_link

- Questions can be directed to [email protected]

- For more information please visit: https://nalab.stanford.edu

RESPONSIBILITY:

  • Choose and apply suitable ML algorithms and frameworks (e.g., TensorFlow, PyTorch, Keras) for model development
  • Optimize model performance, accuracy, and fairness through techniques like hyperparameter tuning, error analysis, and model governance
  • Design and implement AI/ML pipelines for data ingestion, transformation, model training, evaluation, and inference
  • Deploy and serve models using REST APIs, serverless functions, or microservices
  • Enhance model scalability, performance, and cost efficiency using cloud AI/ML platforms, containerization, and automation

CORE QUALIFICATIONS:

  • Eligible to work in the U.S. without visa sponsorship, or can be on OPT Visas
  • Experience with Epic integration using HL7, FHIR, APIs, or other interoperability standards
  • Experience in healthcare IT, Epic implementation, or system integration
  • Experience with cloud-based integrations (AWS, Azure, etc.)
  • Proficiency in data manipulation and analysis using SQL, Pandas, NumPy, and other data processing tools
  • Experience developing, training, and evaluating machine learning models

PREFERRED QUALIFICATIONS:

  • Epic Certification(s)
  • Knowledge of operational healthcare, hospital and/or ambulatory and inpatient workflows and medical terminology.