Top Biotech Software Engineer Jobs in Baltimore, MD

The Engineer, Automation will support manufacturing systems, troubleshoot equipment issues, maintain compliance with cGMPs, and provide technical support for automation systems.

The Engineering Manager oversees engineering projects, managing budget and timelines, providing technical direction, coordinating design efforts, and ensuring compliance with specifications and regulations.

The Engineering Intern will support Engineering and Sales by creating technical materials, CAD models, and demonstrate valve performance. Responsibilities include project presentations and collaboration with cross-functional teams.

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.

Lead and manage the core engineering team for Family History Trees, delivering high-throughput, scalable, near-zero-downtime systems. Collaborate with product, design, QA, DBAs, and operations; architect, implement, deploy, and document services; mentor and recruit talent; establish quality metrics and remove project blockers.

Design, develop, and maintain genetic knowledgebases and curation tools; implement ETL pipelines and data models for genomic and clinical data; build UIs for curation; optimize databases and queries; and collaborate with geneticists, bioinformaticians, software engineers, and IT to integrate knowledge into clinical diagnostics workflows.

Develop software for cancer detection by building reliable, scalable backend services. Collaborate with teams and lead projects in a dynamic environment.