
Nextonic Solutions helps organizations automate research operations and modernize technology to cut risk and improve outcomes. How they do it: a science and technology development firm offering consulting, system integration, and managed services across federal, healthcare, finance, and tech sectors. Core tech includes AWS, DevSecOps, AI, and security/compliance programs like FedRAMP, ISO, and CMMC. They focus on strategy, modernization, and execution with capabilities in enterprise cyber security, data analytics, and research automation. The market reach spans government and industry clients, with scalable services and a focus on measurable value.

Nextonic Solutions helps organizations automate research operations and modernize technology to cut risk and improve outcomes. How they do it: a science and technology development firm offering consulting, system integration, and managed services across federal, healthcare, finance, and tech sectors. Core tech includes AWS, DevSecOps, AI, and security/compliance programs like FedRAMP, ISO, and CMMC. They focus on strategy, modernization, and execution with capabilities in enterprise cyber security, data analytics, and research automation. The market reach spans government and industry clients, with scalable services and a focus on measurable value.
Nextonic Solutions is seeking a highly skilled and motivated Data Scientist to support the development of scalable state-of-the-art systems that use artificial intelligence (AI) to empower scientists and physicians. This role will focus on using AI across multiple modalities (images, text, etc) to accelerate the pace of scientific research. The successful candidate will collaborate with a multidisciplinary team of scientists, software engineers, and biologists to drive advancements in translational sciences. The ability to think critically and work independently as a part of a team is a must. A strong preference will be given to data scientists with a background in the development of data pipelines, fundamental knowledge of large language model architectures, agents, and computer vision models. A background in biology and/or medicine is preferred.
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