ConcertAI · 2 days ago

Data Science Engineer II

Greater Philadelphia

Full-time

Hybrid

Entry, Mid Level

5+ years exp

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AnalyticsArtificial Intelligence (AI)

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Responsibilities

Application Design & Development: Design, develop, and test data science applications ensuring accuracy, efficiency, and scalability.

API Building & Maintenance: Develop and maintain robust APIs for enhancing front-end functionalities and backend integration, ensuring seamless data flow and optimal performance.

Performance Monitoring and User Metrics: Measure and monitor the usage and performance of applications, ensuring they meet predefined benchmarks and standards.

Collaboration: Work closely with cross-functional teams to align data science applications with broader organizational objectives and infrastructure.

Documentation: Document application architecture, API endpoints, and usage instructions, ensuring clarity for both internal teams and end-users.

Research & Development: Stay updated with the latest trends, techniques, and best practices in data science and software engineering, suggesting improvements and new technologies for implementation.

Problem-solving: Identify bottlenecks, bugs, and challenges within the applications, providing timely solutions and enhancements.

Presentation: Engage with and present to executives, data science teams, and clinical teams.

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.

PythonData AnalysisMachine LearningClinical DataData SetsProgrammingData Sources SelectionProblem-SolvingTime ManagementReactNext.jsFront-end frameworksLarge Language ModelsData projects

Required

MS or equivalent in Computer Science, Informatics, AI/Machine Learning, Data Science or in a related discipline.

5+ years experience in an Engineering or Data Science role.

2+ years of experience in a role supporting working with clinical data or real-world data (RWD) projects would be a plus.

Excellent time management skills, contributing to multiple projects with competing timelines.

Proven experience working with large, individual-level data sets or in a (RWD) data analyst role.

Strong programming skills in Python and deep knowledge of (RWD) data sets and how best to select the right data sources given the study question at hand.