Senior Biomedical AI Engineer

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI / data experts, and 100+ prime contracts, we deliver at scale and with purpose. We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Credence has an immediate need for a Senior Biomedical AI Engineer to develop cutting-edge AI solutions that drive real-world impact across federal programs, including those in the biomedical and healthcare space. In this role, you will leverage your experience making data AI-ready and designing, developing, and implementing AI models and machine learning algorithms to support biomedical research and other programmatic areas. This position is ideal for an engineer ready to deepen their expertise in AI / ML, data science, and research. Responsibilities include, but are not limited to the duties listed below : Build advanced AI models and pipelines for federal government projects, with focus on the biomedical and healthcare space Develop multimodal AI algorithms using the following data types : medical imaging data, Electronic Health Records (EHR) data, and Multiomics data. Conduct data preparation, feature engineering, model selection, training, and optimization to ensure optimal performance from the AI models. Design and implement AI solutions using the latest deep learning architectures, Generative AI technologies, and foundation models / Large-Language Models (LLMs). Collaborate with cross-functional teams of data scientists, software engineers, program managers, and client stakeholders to understand, evaluate, and deliver AI solutions that meet project requirements. Stay updated on AI and ML trends and write clean, maintainable, and well-documented code following industry standards Contribute to the technical writing of AI / ML-related proposals and white papers Lead and cultivate strong client partnerships, guiding the integration of state-of-the-art AI / ML, automation, and data analytics solutions tailored to the unique needs of the federal sector Requirements PhD. (preferred) or M.S. in an engineering, scientific, or health-related field Minimum 3 years relevant work experience (PhD.) or 7 years relevant work experience (M.S.) Experience implementing multimodal AI with at least 2 (preferably 3) of the following data types : Medical imaging data, EHR Data, Multiomics data, and wearable device data. This includes making data AI-ready through standardization and transformation. Understanding of data types, standards, and data models used for medical imaging, EHR, multiomics, and wearable device data Successful track record of performing AI / ML research and development in the biomedical / healthcare space, as evidenced through publications and / or other relevant outcomes Strong knowledge of AI / ML techniques including Natural Language Processing (NLP), supervised, unsupervised, reinforcement, and transfer learning, with expertise in Python, AI / ML key libraries, and basic LLM concepts Strong problem-solving skills and the ability to work both independently and as part of a team Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders An eagerness to continually expand technical knowledge and expertise Working Conditions and Physical Requirements : Work Location : On-site -McLean VA U.S. Citizen with the ability to obtain a clearance