About the job
Are you excited about building software that helps scientists unlock new insights from data? As a Software Development Engineer on our team, you will design and deliver systems at the intersection of machine learning and the life sciences. We are scaling our model and method execution infrastructure to generate, analyze, and deliver growing quantities of data to customers — and we need a collaborative, curious engineer to help us get there. You will work alongside scientists, engineers, and product managers in a startup-like environment where your contributions directly shape products that reach customers and accelerate scientific discovery.
Responsibilities
- Design and build scalable ML inference pipelines in collaboration with scientists and engineers, ensuring reliable model execution as data volumes grow.
- Architect and improve database systems that store metadata about workflows and their outputs, balancing performance, maintainability, and extensibility.
- Drive improvements to system performance and reliability so customers receive results quickly and accurately.
- Participate in and contribute to every phase of the software development lifecycle — from requirements gathering and design through implementation, testing, deployment, and operations.
- Conduct thorough code reviews, mentor teammates, and document your software so the broader team can maintain and extend it confidently.
Qualifications
Minimum
- Bachelor's degree or equivalent
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 5+ years of programming experience with at least one modern language such as C++, Java, Scala or Python
- 2+ years of experience in AWS technologies, such as Batch, S3, Lambda, CloudFormation, and SQS
Preferred
- * MS in Computer Science, Bioinformatics, Genomics or a related field
- * Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- * 2+ years of experience with scientific software such as bioinformatics tools, high performance computing or data visualization libraries (Plotly, Altair, D3)
- Experience in Databases like NoSQL, or experience in PostgreSQL or orther relational relational databases and experience that includes strong analytical skills, attention to detail, and effective communication abilities