N-Power Medicine, Inc. · 2 days ago

AI Data Scientist 2 / Machine Learning Engineer

Redwood City, CA

Full-time

Hybrid

Mid Level

$128K/yr - $190K/yr

3+ years exp

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Responsibilities

Develop and implement novel AI machine learning algorithms in the area of Large Language Models (LLMs) and/or Computer Vision models to provide automation of clinical tasks using one or more of data domains (e.g. medical images, electronic medical records, clinical reports, etc.).

Collaborate with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements to significantly increase efficiency in the areas of document control, clinical information extraction, information synthesis, and clinical note preparation.

Understand company and client challenges and how integrating AI capabilities can help lead to solutions.

Build AI models that explicitly learn from human feedback and assist humans in evaluating AI model output accuracy.

Code prototypes to enable development of high-performance AI algorithms in scalable, near production-ready code.

Collaborate with Software Engineering to move proof of concept solutions to production-ready code.

Write appropriate statistical design and analysis plans in the development of AI products that include the appropriate test, validation, and formulation to ensure increasing accuracy in prediction.

Demonstrate that algorithms meet quality and accuracy requirements through statistical analyses and error estimation.

Document code and lessons learned across the software product life cycle, including key decisions, explorations, and experiments.

Stay current on published state-of-the-art algorithms and competing technologies.

Apply safeguards and protections in line with HIPAA and applicable privacy laws and adhere to relevant compliance, quality, security, privacy, legal, and ethical standards when it comes to the use of AI.

Qualification

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AI Data ScienceDeep Learning FrameworksHealthcare Data DomainProgramming LanguagesCloud Computing ServicesDatabase ManagementData Management TechnologiesProblem-SolvingCommunicationSDLCCode Modularity

Required

BSc/MSc graduate in the field of engineering, computer science, applied mathematics, physics, statistics, or relevant field of study.

3+ years of relevant experience in AI data science.

Polyglot coder with hands-on development experience across modern programming languages (e.g. Python, R, Java, C++, ...).

Familiarity of and documented experience with at least one deep learning framework applied in the context of LLMs or Computer Vision (e.g. PyTorch, Tensorflow, etc.).

Experience and/or knowledge of the healthcare data domain in at least one of: electronic medical records (EHR/EMR), clinical imaging, clinical workflows; Electronic Data captures (EDC), and/or clinical research/trials.

Hands-on experience with modern, web-based compute - and storage services (e.g., AWS S3, Databricks, Google Colab, Microsoft Azure, etc.).

Understanding of database and data management technologies preferred - e.g., Microsoft SQL Server, NoSQL, and PostgreSQL.

Excellent written, verbal, interpersonal, and communication skills.