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Data Scientist

Company: Synaptec Health
Location: San Francisco
Posted on: January 16, 2022

Job Description:

Synaptec Healths mission is to accelerate the worlds transition to sustainable healthcare.
In pursuit of this mission, we make the worlds only fully automated medical billing and coding technology using the latest in machine learning and natural language processing to code medical charts at scale while exceeding the accuracy and consistency of manual processes.We are backed by lead Silicon Valley technology investors, including Fusion Fund and Foothill Ventures, founded in San Francisco, California, and have built a diverse and distributed team hailing from all over the globe.
Synaptec Health is looking for world-class talent ready to challenge the hardest problems in data science and machine learning to improve healthcare for both patients and doctors. Youll learn and be exposed to more technology than any of your previous jobs while receiving valuable early-stage startup equity and working with a team of truly talented and passionate people.We believe that hard work and innovative solutions result in industry change, so we prioritize hiring top talent and cultivating a culture based on meritif you've previously done exceptional work, join us to rethink the future of healthcare.
Were founded in San Francisco, and are looking to hire the best candidates regardless of location. If youre not in the Bay Area, remote work is fully supported, and well ensure you get to spend as much time as necessary in person to onboard and meet the team face to face.
Role:
Synaptec Health is looking for a data scientist to build predictive models and compile actionable insights from large healthcare datasets. You will set best practices for how to use our data to direct developer efforts and will have end-to-end ownership of the design, development and deployment of NLP and ML algorithms given complex healthcare data. We are looking for a driven contributor who is goal-oriented, results driven, and data-centric with strong hands-on experience in all layers of the data integration and analytics stack who is excited to architect and independently propose, prototype, and implement efficient solutions and associated data pipelines.
Responsibilities:

  • Work with large, complex healthcare data sets and solve non-routine machine learning problems
  • Develop and optimize custom data models and algorithms based on cutting-edge research to produce predictions and classifications on data sets
  • Build and own data pipelines to format and store data from source to destination for training and model building
  • Utilize strong database skills to filter and cleanse unstructured (or ambiguous) data into usable and analyzable formats
  • Collaborate with product management and executive teams to help create actionable, high-impact insights across product lines and functions
  • Develop company A/B testing framework and test model quality
    Requirements:
    • Strong background in data modeling, data pipelines and data storage techniques
    • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
    • Ability to program in at least one high-level language. Familiarity with Python, TensorFlow, and GCP is a plus
    • Experience with machine learning, artificial intelligence, text analytics, and NLP
    • Proven problem-solving and debugging skills
    • Demonstrated skills in selecting statistical and modeling tools given a data problem, with effective written and verbal communication skills
    • Bachelors, Masters, or higher in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of 4+ yearsby Jobble

Keywords: Synaptec Health, San Francisco , Data Scientist, Other , San Francisco, California

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