Health AI ML Data Scientist

About this role

Job Family : Data Science & Analysis Travel Required : None Clearance Required : Ability to Obtain Public Trust

What You Will Do: • Design, develop, implement, and maintain AI and machine learning solutions that improve healthcare, public health, biomedical research, and operational decision-making. • Identify opportunities to improve organizational efficiency by applying AI, automation, and advanced analytics to streamline business processes, reduce manual effort, and enhance workforce productivity. • Design and implement AI-enabled workflow solutions for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions. • Develop Generative AI (GenAI) solutions using large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques. • Develop predictive, classification, clustering, natural language processing (NLP), computer vision, and other machine learning models using structured, semi-structured, and unstructured data. • Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms. • Evaluate, validate, and monitor AI models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness. • Collaborate with epidemiologists, researchers, engineers, program staff, and business stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready AI solutions. • Develop dashboards, visualizations, technical documentation, presentations, and demonstrations that communicate AI capabilities and analytical findings to technical and non-technical audiences. • Support deployment, monitoring, and continuous improvement of AI and machine learning solutions using modern MLOps and DevSecOps practices. • Apply responsible AI principles, governance, privacy, security, and human-in-the-loop review throughout the AI lifecycle. • Mentor junior team members and provide technical leadership, solution design, and code reviews as appropriate.

What You Will Need: • Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience). • Experience developing AI and machine learning solutions using Python and common data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar frameworks. • Experience applying AI to automate workflows, improve business processes, or enhance operational efficiency. • Experience developing Generative AI applications using large language models (LLMs), prompt engineering, retrieval augmented generation (RAG), or similar techniques. • Experience developing statistical models, predictive analytics, classification, clustering, regression, or natural language processing (NLP) solutions. • Strong SQL skills and experience working with relational databases and cloud-based data platforms. • Experience preparing, integrating, transforming, and analyzing structured and unstructured data to support AI, machine learning, and advanced analytics solutions. • Experience deploying AI or machine learning solutions into production environments. • Understanding of responsible AI principles, model evaluation, explainability, governance, and human oversight. • Experience working in Agile software development environments and fast-paced, matrixed organizations • Strong analytical, problem-solving, written, and verbal communication skills. • Ability to work independently and collaboratively in multidisciplinary technical teams. • U.S. Citizenship required. • Ability to obtain and maintain a Public Trust or higher federal security clearance, as required.

What Would Be Nice To Have: • Experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions. • Experience with Azure OpenAI, OpenAI, Anthropic Claude, Amazon Bedrock, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks. • Experience with Databricks, Snowflake, Microsoft Fabric, Azure AI Foundry, Palantir Foundry, or other enterprise AI and analytics platforms. • Experience with MLOps platforms such as MLflow, Azure ML, SageMaker, Kubeflow, or similar technologies. • Experience supporting healthcare, public health, biomedical research, life sciences, surveillance, or real-world evidence (RWE) initiatives. • Experience working with healthcare interoperability standards such as FHIR, HL7, LOINC, SNOMED CT, ICD-10, or OMOP. • Experience implementing AI governance frameworks, model risk management, human-in-the-loop validation, and AI assurance processes. • Experience supporting federal agencies such as CDC, HHS, NIH, CMS, FDA, or VA. • Experience in consulting environments supporting multidisciplinary technical teams. • Relevant AI, cloud, or data platform certifications.

#LI-DNI

The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include: • Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Parental Leave

• 401(k) Retirement Plan

• Group Term Life and Travel Assistance

• Voluntary Life and AD&D Insurance

• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

• Transit and Parking Commuter Benefits

• Short-Term &

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