Search the 9 jobs at BenchSci

The Engineering Manager for Knowledge Enrichment will lead a team of ML and data engineers, oversee the technical roadmap, and guide projects using ML to enhance data for BenchSci's Knowledge Graph. Responsibilities include coding, model design, team mentoring, agile practices, and collaborating with stakeholders on ML best practices and solutions.

The Data Architect will design and deliver client data ingestion pipelines, collaborate with various teams, scale data pipelines, and implement best practices for secure and efficient data management. Responsibilities include anticipating client needs, improving integration solutions, and leading urgent operational issues.

As a Lead Software Engineer - Data, you'll enhance data models in various datastores, improve internal tooling for data access, operationalize data pipelines, and create strong abstractions for web services while collaborating with a technical team and ensuring quality standards.

The Staff Software Engineer, Data will lead technical projects, direct data engineering initiatives, and mentor other engineers at BenchSci. Responsibilities include managing secure data processes, translating product vision into technical solutions, and contributing to the technical direction of the engineering team. This role focuses on improving infrastructure and enhancing scientific discovery while fostering team development.

The Data Intelligence Scientist will analyze customer and internal datasets to identify data gaps and quality issues, enhancing data-driven decision making in therapeutic discovery. Responsibilities include conducting data quality assessments, collaborating with teams for improvement, and integrating new data sources to support client needs.

As a Senior Software Engineer, you will evolve BenchSci's Knowledge Graph, integrate life science data into the biological ontology, and improve data models and pipelines. You will collaborate with cross-functional teams to solve complex data challenges and contribute to engineering best practices while mentoring others.

As a Lead Fullstack Engineer, you will drive technical initiatives, shape solutions, and lead a team to deliver high-quality SaaS products that enhance scientific research. Responsibilities include implementing features, refining architecture, making independent technical decisions, resolving project issues, advocating for new technologies, and developing a technical roadmap.

As a Solution Architect, you will design and implement data ingestion pipelines while collaborating with clients, engineers, and technical staff. Your role includes scaling data systems, ensuring compliance, and championing new services based on client needs. You will also contribute to best practices in a cloud-based environment, leveraging your expertise in various data frameworks and technologies.

As a Systems Administrator, you will provide technical support, manage employee workstations and SaaS applications, oversee network infrastructure, and facilitate employee onboarding and offboarding while ensuring a secure IT environment. You will explore AI adoption and collaborate on projects to enhance productivity and innovation.