Note: The job is a remote job and is open to candidates in USA. Guidehouse is a consulting firm that specializes in data science and analysis, particularly in the healthcare sector. They are seeking a Health AI ML Data Scientist to design and implement AI and machine learning solutions to improve healthcare and public health outcomes.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- 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 & Long-Term Disability
- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Care.com annual membership
- Employee Assistance Program
- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
- Position may be eligible for a discretionary variable incentive bonus
Company Overview