apree health · 5 days ago

Senior Machine Learning Engineer

United States

Full-time

Remote

Senior Level

$127K/yr - $215K/yr

5+ years exp

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Responsibilities

Collaborate with cross-functional teams to ingest and integrate data from various sources, including electronic health records, medical claims, and more.

Design and implement robust data pipelines using tools such as Apache Airflow and Google Cloud Platform (GCP) services.

Develop and deploy machine learning models to extract meaningful patterns and insights from healthcare data using Vertex AI among other tools.

Work closely with medical practitioners, researchers, and other stakeholders to understand their data needs and translate them into actionable solutions.

Build scalable and interpretable models that facilitate decision-making and drive innovation in healthcare delivery.

Stay abreast of the latest advancements in data science, machine learning, and healthcare technology to continuously improve our analytics capabilities.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningStatistical AnalysisData VisualizationData PipelinesApache AirflowGCPHealthcare DataElectronic Health RecordsMedical ImagingClinical TrialsProgrammingSQLPythonLarge-Scale DatasetsData-Driven SolutionsProblem-SolvingCollaborationCommunication

Required

PhD in Computer Science, Statistics, Physics, or a related field with at least 1 year of relevant experience OR Bachelor's/Master's degree with at least 5 years of experience in data science or a related field.

Strong proficiency in machine learning techniques, statistical analysis, and data visualization.

Hands-on experience with building and deploying data pipelines using Apache Airflow, GCP, or similar technologies.

Deep understanding of healthcare data, including electronic health records, medical imaging, and clinical trials.

Excellent programming skills in languages such as SQL and Python with experience in working with large-scale datasets.

Proven track record of delivering impactful data-driven solutions in a collaborative environment.

Strong communication skills and the ability to effectively convey complex technical concepts to non-technical stakeholders.