Top Biotech Software Engineer Jobs in Atlanta, GA

Design, prototype, implement, and test imaging algorithms (classical and AI-based) for cancer imaging software. Collaborate across teams, improve code quality and test coverage, contribute to code reviews, debug deployments, and support production implementation in an agile, hybrid environment.

As a Software Engineer Intern, assist in developing backend services, APIs, and integrating AI features for a healthcare platform. Gain hands-on experience with databases and cloud infrastructures.

Lead end-to-end delivery, stability, and production support for customer-facing enterprise applications. Provide hands-on architecture, coding, code reviews, incident management, and CI/CD/monitoring improvements. Drive sprint planning, prioritize features and tech debt, and collaborate with product, QA, and stakeholders to meet business goals while enforcing secure, reliable engineering practices.

Develop software and data solutions for clinical insights in veterinary care, leveraging cloud technologies, data pipelines, and Agile Scrum practices.

Lead Biostatistical Programming for Oncology. Ensure accuracy in clinical study results and manage global programming teams. Oversee strategies and compliance.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

The Senior Software Engineer II will design solutions, lead projects, troubleshoot code, develop features, and implement DevOps practices in a remote setting.

The Senior Software Engineer leads backend microservice development for order processing, mentors engineers, and promotes best practices in a fast-paced environment.

The Associate Director will design scalable data architectures using Databricks, focusing on performance, governance, and collaboration to enhance data-driven decision-making. Responsibilities include optimizing data processes, integrating systems, and leading rapid proof-of-concept initiatives.

Design, build, and support Salesforce solutions by translating business requirements, documenting processes, performing impact analysis, troubleshooting issues, maintaining data integrity, supporting reporting, assisting with rollouts, and training users to improve platform usage and business outcomes.