SPHR Health Communications Management SME

Overview

At Credence, we support 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.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

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