Summary
✨ AI‑Generated
Join a multidisciplinary technology team building software that turns complex biological and biomedical data into actionable insights. You will develop scalable backend services, integrate databases and APIs, maintain cloud infrastructure, deploy AI and machine-learning models, and write clean, well-tested code. The role combines software engineering with impactful applications in science, healthcare, and public health.
Highlights
Build scalable software and cloud infrastructure at the intersection of genomics, biomedical data, AI, and software engineering, with opportunities to turn complex scientific data into practical insights.
Description
Company Description
seqSight is a technology company providing a clearer “lens into life” through innovative Genomic AI, data, and software solutions.
We develop advanced tools that transform complex genomics and biomedical data into actionable insights for research, healthcare, and public health.
Our multidisciplinary team works at the intersection of science and technology to build practical solutions for complex biological challenges.
We value curiosity, rigorous thinking, collaboration, and real-world impact.
Role Description
We are seeking a full-time Software Engineer to design, build, and maintain software supporting seqSight’s core products and internal tools.
Responsibilities include:
Developing back-end services and scalable software systemsIntegrating data sources, databases, and APIsBuilding and maintaining cloud-computing infrastructureImplementing and deploying AI and machine-learning modelsWriting clean, efficient, maintainable, and well-tested codeDebugging and optimizing existing applicationsContributing to architecture discussions and code reviewsCollaborating with product, data, and scientific teams to translate research methods into reliable software productsThis is a full-time, on-site position based in Washington, DC.
Qualifications
Master’s degree in health data science, computer science, engineering, data science, or a related technical field, or equivalent practical experienceStrong foundation in algorithms, data structures, and software-design principlesProficiency in Python, Java, C++, or another modern programming languageExperience with back-end development, APIs, databases, and server-side frameworksStrong understanding of object-oriented programmingExperience with Git and collaborative development workflowsAbility to write maintainable, well-tested code and troubleshoot existing systemsStrong problem-solving, communication, and teamwork skillsInterest in genomics, bioinformatics, AI, or biomedical applicationsFamiliarity with cloud platforms, containers, or CI/CD pipelines is beneficial
