Leverage scientific domain and technical knowledge to support genetic scientists with identifying relevant information and published knowledge
Establish, streamline, and automate knowledge-extraction pipelines for collecting, curating, and visualizing knowledge from scientific publications
Collaborate with data scientists, variant scientists, and software developers to design and implement biomedical solutions that meet stakeholder requirements
Monitor emerging technology trends in literature analysis and knowledge discovery; represent the team externally through conferences and publications

Bachelor’s Degree in Life Sciences, Computer Science or Engineering with 5 or more years of recent professional software development experience
5 or more years building full-stack applications in Python and modern JavaScript frameworks
5 or more years of recent experience with front-end technologies (e.g., React, Angular, Vue.js, JavaScript/TypeScript, HTML/CSS)
5 or more years of recent experience with RESTful APIs and microservices architecture
5 or more years of recent experience with CI/CD pipelines and DevOps practices
5 or more years of recent experience with cloud platforms (AWS, Azure, or GCP)
Master’s Degree or Ph.D. in Bioinformatics, Computational Biology or another life-science field (preferred)
3 or more years of experience with biomedical information resources (e.g., PubMed)
3 or more years of experience with bioinformatic tools and annotation
3 or more years of experience in big data tools (Spark), semantic enrichment, machine learning pipelines
3 or more years of experience translating complex scientific questions into information solutions

Senior Software Engineer, Clinical CMS

Key skills