As a Staff AI Researcher, you will develop ML and AI solutions that will improve health for millions of people. You will partner with other engineering and analytics teams, bringing AI technology into existing products and workflows. As a Staff AI Researcher, you will lead the way to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions.
Job listings
N-Power Medicine is hiring a Senior Clinical Data Scientist to support clinical trial analysis and reporting by developing, validating, and maintaining SAS and/or R programs. Responsibilities include extracting and transforming clinical data, creating and verifying analysis datasets, and delivering both interim and final datasets to pharmaceutical partners. You will support clinical study teams in programming data for review, analysis and presentation.
Lead and grow our data engineering team, overseeing the implementation, integration, and maintenance of client data into SmarterDx products and services. Accountable for team performance including feature delivery, quality, operational excellence, hiring, retention, professional growth, and well-being. Guide the design and implementation of robust ETL pipelines and drive continuous improvement in data processes.
Advance clinical AI by building scalable pipelines and infrastructure for data ingestion, processing, and analysis. Integrate and standardize diverse healthcare data (clinical, coding, billing) and design resilient, fault-tolerant frameworks and data models leveraging AWS (S3, Lambda, Step Functions, Batch). This role spans the full data lifecycle, shaping the foundation for next-generation clinical AI solutions.
This role is ideal for a technical expert with deep experience in Oracle SQL/PLSQL and Java, combined with a strong background in HL7 messaging and healthcare data exchange. The ideal candidate will be a self-driven engineer who thrives in a fast-paced, collaborative environment and can clearly communicate complex data issues to both technical and non-technical stakeholders. This position will be fully remote.
The Deep Learning Analytics Center of Excellence at General Dynamics Mission Systems is seeking a seasoned data scientist with experience in Deep Learning, data visualization, software development, and full Machine Learning life cycle management. This role interfaces with business development teams, identifies AI/ML initiatives, engages with clients, and leads interdisciplinary teams in tackling DL challenges.
If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, youβll fit right in. As a Remote Sensing AI Researcher you will be responsible for developing new research that can lead to new products and publications. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.
An excellent career opportunity for an individual to join a team of professionals while working in a multidisciplinary consulting and engineering firm. Overall responsibility includes working on dynamic projects with state, local, and federal clients under Dewberryβs Geospatial Solutions and Analytics (GS&A) team.
Weβre looking for a Senior Data Engineer to help build and scale a high-impact data platform that powers decision-making and innovation across engineering, legal, sales, marketing, and governance. Youβll play a critical role in designing real-time and batch data pipelines, ensuring data quality, privacy compliance, and accessibility through user-friendly portals and dashboards.
Join the team on a temporary, 12 month project. As a Data Engineer, you will build and maintain the Unified Data Fabric serving as the foundation for a misleading marketing motoring and oversight system, responsible for ingesting, processing, and standardizing data from multiple sources including internal data sources and social media advertising platforms. You will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.