Data Scientist/AI Lead
Program Management Solutions LLC
Rockville, MD, USA
6/14/2022
Technology
Full Time
Job Description
Job Description
Program Management Solutions is looking for a Data Scientist/AI Lead to join our growing team. This is an on-site position that's located in Rockville, MD.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, Biomedical Informatics, Computational Biology, Engineering, or related field.
- Minimum 10+ years of experience supporting data science, artificial intelligence, machine learning, informatics, analytics, data engineering, or scientific computing initiatives.
- Minimum 5+ years of experience leading technical teams supporting data-intensive, AIenabled, or scientific computing environments.
- Experience designing and implementing data architectures, ingestion pipelines, metadata management, and data governance frameworks.
- Experience supporting FAIR data principles, data harmonization, interoperability, and scientific data lifecycle management.
- Experience developing, integrating, or supporting AI/ML-enabled analytics, predictive modeling, automation, or advanced computational workflows.
- Experience designing, deploying, or supporting Generative AI (GenAI) solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent assistants, AI agents, prompt engineering, and enterprise knowledge management solutions.
- Experience supporting responsible AI practices, including model documentation, transparency, explainability, performance monitoring, and bias identification or mitigation.
- Experience supporting cloud, high-performance computing, GPU-enabled, or large-scale analytics platforms.
- Experience implementing Machine Learning Operations (MLOps) practices including model lifecycle management, model registries, feature engineering pipelines, automated retraining, version control, deployment automation, and continuous model monitoring.
- Experience supporting vector databases, semantic search, knowledge graphs, embeddings, enterprise search, and AI-enabled knowledge management platforms.
- Experience briefing technical and executive stakeholders.
Preferences
- Master’s degree or higher in a related field.
- Experience supporting NIH, HHS, or biomedical research organizations.
- Experience with bioinformatics, cheminformatics, knowledge graphs, ontology management, and translational science data environments.
- Experience supporting AI-enabled analytics, machine learning operations, advanced scientific computing, high-content imaging, or large-scale biomedical data environments.
- Experience with human-in-the-loop AI workflows, image segmentation, model validation, or AI-enabled scientific platform integration.
- Experience supporting enterprise Generative AI platforms using Azure OpenAI, Amazon Bedrock, Google Vertex AI, OpenAI APIs, Hugging Face, LangChain, Semantic Kernel, or equivalent technologies.
- Experience supporting AI governance, AI security, prompt management, model evaluation, AI red teaming, or enterprise AI adoption initiatives.
- Experience integrating GenAI capabilities into scientific research, biomedical informatics, or decision-support environments.