Responsibilities
- Develop a unified data infrastructure linking next-generation sequencing devices, lab informatics platforms like Benchling, and AWS-based computing resources, ensuring automated data intake, traceability, efficient storage, and system monitoring.
- Create robust APIs, software development kits, and internal applications that provide researchers with access to genomic datasets and analysis tools.
- Implement an orchestration system that automatically triggers scientific workflows in response to events, developed in collaboration with computational biologists.
- Deliver artificial intelligence-driven features including retrieval-augmented generation over proprietary scientific data, agent-based processes with human validation steps, and internal assistant tools to simplify repetitive tasks.
- Establish reliable integrations across research tools to enable seamless data transfer between electronic lab notebooks, laboratory information management systems, instrument software, and cloud environments.
- Convert scientific needs into durable, scalable software solutions, supporting the transition of experimental prototypes into production-ready systems.
- Collaborate with computational biologists, laboratory researchers, and cloud operations specialists to enhance system performance, efficiency, and stability.
Benefits
- Competitive base salary
- Equity compensation
- Standard benefits package
Compensation
Competitive base salary, equity, standard benefits
Work Arrangement
Hybrid — Cambridge, MA
Team
Cross-functional collaboration with computational biology, cloud infrastructure, laboratory science, and cloud support teams
Other
- Applicants must have US work authorization at the time of application.
- Visa sponsorship is not currently offered.
Not available
