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Job Requirements
Company Overview
ConcertAI’s mission is to accelerate insights, advance research, and improve patient outcomes in oncology and across life sciences. ConcertAI’s leading real-world evidence, AI technology and software-as-a-service solutions support healthcare decision-making across clinical research & development through commercialization. Top biopharma sponsors, clinical research organizations, healthcare providers and institutions rely on ConcertAI’s evidence-generation and digital transformation capabilities to advance precision medicine and medical innovation.
Role Summary
The Data Science Engineer II plays a pivotal role in our organization’s data-driven decision-making processes. This unique role requires a blend of skills from domain expertise in real-world data (RWD), data science competency, and a command of software engineering principles. This individual is responsible for the end-to-end development and deployment of data science applications, APIs, and other business-supporting content. Beyond leveraging their analytical techniques, the Data Science Engineer ensures that solutions are scalable, maintainable, and provide top class user experiences for its users. They maintain a deep understanding of modern software development practices, ensuring optimal performance, security, and user experience.
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.
Requirements
• 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.
Preferred Qualifications
• Expertise in React, Next.js, and modern front-end frameworks and technologies.
• Knowledge of Large Language Models and their application in real-world data projects.
Learn More About ConcertAI
Our team at ConcertAI is dedicated to transforming healthcare decision-making through the application of RWE and AI to improve patient outcomes. We work in a fast-paced, dynamic, high-performing culture where diversity, collaboration, and innovation are valued. Join us on our quest to create a world free of disease. Learn more about ConcertAI at www.concertai.com , or follow us on LinkedIn.
EEO
ConcertAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
