Lead the delivery of a scientific data transformation program with multiple workstreams, facilitating collaboration, tracking progress, and ensuring timely execution.

The Senior Quality Engineer will ensure high-quality software delivery by designing test strategies for AI/ML applications and collaborating with remote teams. Responsibilities include automating testing, mentoring engineers, and maintaining documentation.

Lead and manage teams of Scientific Business Analysts and Data Architects, ensuring high customer satisfaction while driving value creation and expanding TetraScience's presence in the Life Sciences market.

Lead US client engagement, ensuring high customer satisfaction, driving renewals, and managing a delivery team to deploy complex solutions in the life sciences sector.

The Technical Account Manager serves as a strategic partner to customers, bridging business objectives and technical execution, ensuring project success and enhancing ROI through in-depth technical guidance and relationship management.

Design, develop, and validate AI/ML products, collaborate with teams, and support leadership in commercial feasibility, primarily in pharmaceutical applications.

The Lead Platform Engineer will architect and evolve cloud-native infrastructure to support high data volumes, collaborating across teams to ensure scalability, reliability, and cost-efficiency.

Drive go-to-market strategy and create impactful content for TetraScience’s products. Collaborate across teams for product launches and customer engagement.

The DevOps Engineer will work with product and engineering teams to enhance product lifecycle, manage AWS environments, automate processes, and ensure client integration.

Lead the development of a scientific search platform integrating AI/ML capabilities for advanced search functionalities, guiding engineering efforts in building scalable, production-grade systems.

The Software Engineer III will develop infrastructure for scientific analysis software, focusing on tools for high-quality delivery, scalability, and high availability, working in a team-oriented environment.

The role involves building and maintaining data infrastructure, designing data lake solutions, and optimizing data pipelines for scientific data processing.

In this leadership role, you will own the platform architecture, advising on technical feasibility, mentoring team members, and driving innovation for scalable data platforms while communicating with product and engineering teams.

Develop and maintain software solutions for scientific data analysis, design scalable architectures, work on ML infrastructure, and ensure software reliability.

Design and develop high-performance, scalable applications using C# and TypeScript, manage CI/CD pipelines, and implement automated testing. Requires expertise in AWS and distributed systems.

Design and develop efficient solutions for data extraction from scientific instruments, ensuring high performance, resiliency, and availability while working with a geographically dispersed team.

As a Data Software Engineer III at TetraScience, you will develop high-performance data connectors for scientific data acquisition, ensuring scalability, resiliency, and high availability while following agile methodologies.

The Senior Software Engineer collaborates to resolve customer technical issues, improve performance, and develop tools for efficient support. Requires strong troubleshooting and communication skills.

The role involves building observability solutions for telemetry data, ensuring high availability and resiliency while collaborating with product management and development teams.

As Head of Sales, oversee the Americas, develop sales strategies, manage teams, and drive revenue in the life sciences sector.