eClinical Solutions · 3 days ago
Principal/Senior Software Engineer AI/ML
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Responsibilities
Design, develop, and deploy integrations of AI & ML models & integration pipelines for the elluminate platform, enabling life sciences organizations to streamline data aggregation, standardization, and analytics throughout the clinical development lifecycle.
Collaborate with data science teams to develop data integration solutions that support advanced analytics, machine learning models, and predictive algorithms.
Participate in all phases of the software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and release management.
Contribute to architectural decisions, focusing on performance, scalability, and security of the integrations.
Write and review code, ensuring high standards for code quality, scalability, and performance.
Work closely with Quality Assurance teams to test system functionality, resolve issues, and ensure compliance with industry regulations and internal standards.
Provide mentorship and technical guidance to junior engineers and actively foster a collaborative team environment.
Design, implement, and deploy scalable integrations and workflows, ensuring high performance, maintainability, and robust security.
Integrate AI/ML-driven analytics and insights within the platform, working in collaboration with cross-functional teams.
Optimize database schemas, queries, and data structures for efficient data handling across integration workflows.
Prototype and implement new technologies to keep the elluminate platform at the forefront of data integration and analytics.
Participate in code reviews and contribute to an environment focused on best practices and high standards.
Ensure compliance with eClinical Solutions and industry quality standards, regulations, guidelines and procedures.
Provide technical support for existing elluminate product releases.
Provide technical guidance, training and support to other Engineers.
Qualification
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Required
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field, or equivalent work experience.
10+ years of experience in software engineering, specializing in integration pipelines, data engineering, and analytics platforms. (5+ years for a Senior)
Advanced expertise in C#, ASP.NET, and integration technologies.
Solid understanding of SQL and relational databases, particularly Microsoft SQL Server.
Experience with Python for data integration and AI/ML model deployment.
Proficiency in web technologies, including HTML, CSS, JavaScript, TypeScript, and Angular.
Solid understanding of API design, RESTful services, and microservices architecture.
Knowledge of cloud platforms (e.g., AWS, Azure) and containerization (Docker, Kubernetes).
Strong background in secure software development and familiarity with data privacy standards.
Excellent documentation and communication skills, with the ability to effectively collaborate in an Agile environment.
Preferred
Background with AI/ML frameworks, data engineering platforms, and big data technologies.
Experience in CI/CD pipeline development, automated testing, and test-driven development.
Experience in the life sciences or health tech industry is a plus.
Company
eClinical Solutions
eClinical Solutions is a data intelligence hub.it transforms the way clinical data integration, aggregation, and analytics.
H1B Sponsorship
eClinical Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (8)
2022 (6)
2021 (5)
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
GI PartnersSummit Partners
2024-09-12Private Equity· Undisclosed
2024-09-12Acquired· by GI Partners
2020-01-21Private Equity· Undisclosed
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