SPHR Health Communications Management SME

Biomedical Ai Engineer

Credence supports our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

Credence has an immediate need for Biomedical AI Engineer to develop artificial intelligence and machine learning (AI/ML) models using multimodal biomedical and healthcare data. 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. This position is ideal for an engineer ready to deepen their expertise in AI/ML, data science, and biomedical research.

Responsibilities include, but are not limited to the duties listed below:

• Build AI models and pipelines for biomedical and healthcare applications
• Develop multimodal AI algorithms using the following data types: medical imaging data, electronic health records (EHR) data, multiomics data, wearable device 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 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

Education, requirements and qualifications:

• PhD. (preferred) or M.S. in an engineering, scientific, or health-related field
• Minimum 3 years relevant work experience (Ph.D.) 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, and reinforcement 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

Working conditions and physical requirements:

• Work Location: On-site -McLean VA
• U.S. Citizen with the ability to obtain a clearance