Data Scientist

Navina is a fast-growing digital health SaaS company that’s on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use Navina’s AI-powered solution that transforms complex and fragmented patient data into concise “patient portraits" and actionable clinical insights at the point of care. With Navina, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.

Navina has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.

Navina’s system aggregates medical data from all available data sources into a single clinical snapshot, highlighting critical information and delivering it to the clinician at the point of care. This is done using cutting edge Deep Learning and NLP algorithms.

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team. This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used. You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.

Responsibilities:

• Research, develop, and deploy advanced machine learning and deep learning models to production.
• Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
• Utilize NLP methodologies to extract and provide insights from patient medical records.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
  
  

• B.Sc + M.Sc in an analytical field (Computer Science, Bioinformatics, Engineering or any other analytical degree)
• 4+ years of hands-on experience with Machine Learning and Deep learning algorithms
• High proficiency with Python and SQL
• Experience with NLP and NLU algorithms, including Question Answering, Reading Comprehension, Language Embeddings, etc or equivalent experience in other Deep Learning modalities.
• Experience developing end to end data science solutions in production, writing scalable and automated solutions
• Team player with strong communication and collaboration skills
  
  

• Ph.D. in an analytical field
• Experience working with Cloud Infrastructure: AWS, Docker, Kubernetes etc.
• Experience with LLM models in production systems