{"schemaVersion":"jobsearcher.job.v1","id":"14bc8e36dc36c13dbf564586","url":"https://jobsearcher.com/jobs/14bc8e36dc36c13dbf564586","canonicalUrl":"https://jobsearcher.com/jobs/14bc8e36dc36c13dbf564586","title":"Web Developer","description":"Job Title: Web Developer - federated Learning and P2P Web EnvironmentsCompany: DNAhive (https://www.dnahive.com) in partnership with ARPA-H and the National Cancer Institute (NCI) / Division of Cancer Epidemiology and Genetics / Data Science and Engineering Research Group.Location: Rockville, Maryland, United StatesDescription:The National Cancer Institute is seeking a passionate and innovative Web Developer to join our team in developing cutting-edge approaches to cancer risk assessment. Leveraging the power of Generative AI models and federated learning, we are building a P2P computational infrastructure to enable the development of multimodal biomarkers without compromising privacy or scalability.This is an exciting opportunity to work at the forefront of computational biology, shaping the future of agentic analytical data fabrics. You will be part of an ARPA-H sponsored program, collaborating with experts in the field to create reusable constructs that can revolutionize biomedical research.Key Responsibilities:Develop and implement federated learning algorithms for multimodal biomarker discoveryDesign and build P2P web computing infrastructures for secure and scalable data sharingContribute to the advancement of agentic AI ecosystems for biomedical researchCollaborate with researchers across disciplines to translate findings into clinical applicationsQualifications:Expertise in web computing, particularly with the JavaScript Web stackFamiliarity with federated learning and P2P networking conceptsA strong passion for computational biology and its potential to transform healthcareExcellent communication and collaboration skillsPreferred Qualifications:Authorization to work in the USAExperience with Generative AI models and their applications in biomedical researchUnderstanding of data privacy and security considerations in federated learningTrack record of publications in relevant fieldsStart Date: As soon as possibleHow to Apply: Send your resume and cover letter to jonas.dealmeida@nih.govAdditional Information:This position is part of an ARPA-H sponsored program focused on distributed learning infrastructure in P2P Web environments.The successful candidate will have the opportunity to collaborate with researchers at DNA Hive and contribute to the development of their platform.Keywords: Biomedical Research, Computational Biology, Federated Learning, P2P Web Computing, Generative AI, ARPA-H, Cancer Risk Assessment, Biomarkers, Data Science, JavaScript.","company":"Dnahive","rawCompany":"dnahive","city":"Derwood","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-04-12T16:15:41.565Z","occupations":[{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Web Developer","description":"Job Title: Web Developer - federated Learning and P2P Web EnvironmentsCompany: DNAhive (https://www.dnahive.com) in partnership with ARPA-H and the National Cancer Institute (NCI) / Division of Cancer Epidemiology and Genetics / Data Science and Engineering Research Group.Location: Rockville, Maryland, United StatesDescription:The National Cancer Institute is seeking a passionate and innovative Web Developer to join our team in developing cutting-edge approaches to cancer risk assessment. Leveraging the power of Generative AI models and federated learning, we are building a P2P computational infrastructure to enable the development of multimodal biomarkers without compromising privacy or scalability.This is an exciting opportunity to work at the forefront of computational biology, shaping the future of agentic analytical data fabrics. You will be part of an ARPA-H sponsored program, collaborating with experts in the field to create reusable constructs that can revolutionize biomedical research.Key Responsibilities:Develop and implement federated learning algorithms for multimodal biomarker discoveryDesign and build P2P web computing infrastructures for secure and scalable data sharingContribute to the advancement of agentic AI ecosystems for biomedical researchCollaborate with researchers across disciplines to translate findings into clinical applicationsQualifications:Expertise in web computing, particularly with the JavaScript Web stackFamiliarity with federated learning and P2P networking conceptsA strong passion for computational biology and its potential to transform healthcareExcellent communication and collaboration skillsPreferred Qualifications:Authorization to work in the USAExperience with Generative AI models and their applications in biomedical researchUnderstanding of data privacy and security considerations in federated learningTrack record of publications in relevant fieldsStart Date: As soon as possibleHow to Apply: Send your resume and cover letter to jonas.dealmeida@nih.govAdditional Information:This position is part of an ARPA-H sponsored program focused on distributed learning infrastructure in P2P Web environments.The successful candidate will have the opportunity to collaborate with researchers at DNA Hive and contribute to the development of their platform.Keywords: Biomedical Research, Computational Biology, Federated Learning, P2P Web Computing, Generative AI, ARPA-H, Cancer Risk Assessment, Biomarkers, Data Science, JavaScript.","datePosted":"2026-04-12T16:15:41.565Z","dateModified":"2026-04-12T16:15:41.565Z","hiringOrganization":{"@type":"Organization","name":"Dnahive","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Derwood","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"14bc8e36dc36c13dbf564586"},"url":"https://jobsearcher.com/jobs/14bc8e36dc36c13dbf564586"}}