Staff Bioinformatics Scientist

About Us At Digital Biology, we've invented breakthrough measurement technology to design, screen, and optimize spatially intelligent immunotherapies. Backed by over $20M in funding from leading VCs and top pharma partners, we increase functional precision and unlock human translation, reshaping the landscape of biological medicines. Role Description Digital Biology is seeking a Staff Bioinformatics Scientist to develop analysis pipelines and scientist-facing tools that empower data-driven decision-making. This role will work closely with Engineering and Discovery Scientists to derive insights from our cutting-edge spatial sequencing platform. You will be responsible for building high-performance computational pipelines, developing and applying metrics and statistical decision frameworks, and building user-friendly scientist interfaces that enable scientists to visualize, interpret, and act on complex datasets with precision. In this role, you will work closely with scientists developing our high-throughput screening platform for biological T cell activators, using statistical methods to prioritize hits from library-based functional screens, based on next-generation sequencing (NGS), image, and other data sources. You will also define and implement infrastructure to support data analysis and scientist interfaces. Your contributions will be critical in driving discovery insights, optimizing biologic candidates, and accelerating therapeutic development. This is an opportunity to be a technical leader at the intersection of data science, engineering, and biology, shaping the analytical infrastructure that powers next-generation biologics discovery. Key Responsibilities Develop, run, and interpret scalable analysis pipelines for NGS and multi-modal data, serving insights via scientist-facing tools. Work closely with scientists to define analytical needs. Collaborate with engineering to optimize data infrastructure, ensuring efficient storage, retrieval, integration, and processing of large-scale biological datasets. Integrate machine learning and statistical methods to extract meaningful patterns from high-throughput screening data. Manage team of computational scientists, fostering a collaborative and growth-oriented environment. Ensure clear, well-structured documentation and communicate findings effectively through reports, dashboards, and presentations to scientists and leadership. Who you are You are a highly technical data scientist who thrives at the intersection of computation and biology. You have a strong engineering mindset, enjoy building scalable, automated analysis pipelines, and are passionate about developing scientist-friendly tools that unlock deeper insights from biological data. Qualifications PhD in Computational Biology, Bioinformatics, Data Science, or a related field, with 8+ years of industry or postdoctoral experience. Strong understanding of statistics, with a proven track record of applying core principles to analysis of biological data. Fluency in Python, with experience building data pipelines and visualization tools. Experience applying software engineering best practices to scientific analysis, especially code review and version control (Git). Strong background in analyzing NGS data. Proven success in managing and mentoring bioinformatics scientists. Experience working with engineers to design and optimize data infrastructure for large-scale biological datasets. Familiarity with cloud computing environments, workflow automation, and database access and management. Exceptional communication and collaboration skills, with the ability to translate scientific needs into computational solutions. Preferred Qualifications Industry experience in a fast-paced startup environment, working in cross-functional teams. Experience in analyzing high-resolution image data. Experience integrating multi-modal datasets, including sequencing, imaging, and functional profiling data. Experience with SQL databases. Fluency in R. Benefits Health, vision, life, dental insurance and 401K plan. At Digital Biology, we believe that diverse perspectives drive scientific breakthroughs. We welcome applicants from all backgrounds and are committed to fostering an inclusive, innovative team environment. If you don't meet all of the requirements listed here, we still encourage you to apply or reach out to us. No job description is perfect - we may find an even more suitable opportunity that is a better fit for you. Company Benefits: Health, vision, life, dental insurance and 401K plan. If you don't meet all of the requirements listed here, we still encourage you to apply or reach out to us. No job description is perfect - we may find an even more suitable opportunity that is a better fit for you.