Software Engineer, Insitro

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience
• You have 3+ years of software development experience. While we primarily use Python, we welcome experience with other programming languages
• You're eager to work directly with scientists. You understand the value of interdisciplinary collaboration in advancing scientific research
• You're familiar with AWS (or GCP/Azure), relational databases, writing design docs, version control, doing code reviews

Desirable

• Software engineering is essential in insitro's approach to rethinking drug development
• Central to insitro's thesis is our ability to integrate rich datasets across modalities
• The imaging software team develops the data generation, quality control, and data pipeline stack that produces the actionable imaging datasets and repeatable analyses driving our target and drug discovery efforts
• In this role, you will be responsible for developing and maintaining the data generation, quality control, and data pipeline stack that produces our imaging datasets
• You will also play a crucial role in ensuring the integrity and usability of our imaging data and in developing visualization tools to support our scientific workflows
• To achieve this, you will collaborate closely with machine learning scientists, biologists, software and hardware engineers, and other team members to design and implement a cohesive data ingestion, transformation, and exploration platform
• The imaging software team plays a few significant roles at insitro, including:
• Ensuring scalable data generation using novel imaging techniques - all towards our goal of creating the rich, diverse datasets that fuel our drug discovery efforts
• Data processing and quality control. The team plays a central role in ensuring the integrity and usability of our imaging data. Given that imaging is one of many data modalities at insitro, our imaging datasets must be not only actionable and accessible but also seamlessly integrated with other data modalities such as transcriptomics
• Visualization. As we push the boundaries of imaging techniques, there is a corresponding need for novel ways to visualize our data. The imaging software team is vital in developing these tools and enabling novel scientific workflows
• Your work will contribute to enabling science at scale
• You will be part of a team pushing the boundaries of what is possible in drug development
• Examples of what you will be working on:
• Expanding the capability of our on-microscope image acquisition software. This involves improving existing functionality and introducing new features to keep us at the cutting edge of imaging technology
• Architecting the data pipelines and models that enable us to construct and explore multi-modal datasets such as RNA sequencing data coupled with cellular microscopy
• Building our next generation of viewers and a robust quality control platform. These tools are essential for ensuring the integrity of our data and facilitating its interpretation and use in our research