Search the 6 jobs at BenchSci

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 Finance Operations Lead will support the internal finance processes, assist with logistics, and manage finance-related projects. Responsibilities include maintaining records, facilitating procurement, ensuring compliance, and tracking project progress while working closely with the CFO and finance team.

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 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.

Lead a team of engineers in designing, developing, and deploying data and ML solutions. Ensure successful project delivery, mentor team members, and contribute hands-on when necessary. Adapt to rapid changes and guide the team through the development lifecycle while maintaining strong collaboration across teams.

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.