Health AI ML Data Scientist

Guidehouse; Washington (District of Columbia); On-site; USD 85,000 - 141,000; Full time

Job summary

Guidehouse is seeking a data science and AI lead to design, develop, and deploy AI/ML solutions across healthcare and public health domains. You will drive GenAI initiatives with LLMs, RAG, and advanced analytics while building scalable pipelines using Python, SQL, Spark, and cloud platforms.

You will collaborate with epidemiologists, researchers, engineers, and stakeholders to translate business needs into production-grade AI capabilities, ensuring governance, security, and responsible AI

Qualifications

• Bachelor's degree in Data Science, CS, AI, ML, Engineering, Math, Public Health, or related field.
• Experience developing AI/ML solutions with Python and libraries (Pandas, NumPy, scikit-learn, TF/PyTorch).
• Experience applying AI to automate workflows to improve efficiency.
• Experience deploying AI/ML solutions into production environments.
• Experience with Generative AI, LLMs, prompt engineering, and RAG.

Responsibilities

• Design, develop, implement, and maintain AI/ML solutions for healthcare, public health, biomedical research, and operations.
• Identify opportunities to improve organizational efficiency by applying AI and analytics.
• Develop GenAI solutions using LLMs, retrieval augmented generation, semantic search, and vector databases.
• Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms.
• Collaborate with epidemiologists, researchers, engineers, program staff, and stakeholders to translate needs into production-ready AI solutions.
• Mentor junior team members and provide technical leadership and code reviews.

Skills

Python

SQL

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

LLMs

Prompt engineering

MLOps

Agile

Communication

Education

Bachelor's degree in Data Science, CS, AI, ML, Engineering, Math, Public Health, or related field

Tools

Azure OpenAI

OpenAI

LangChain

LangGraph

LlamaIndex

Hugging Face

Databricks

SageMaker

Kubeflow

Job description

Job Family:Data Science & AnalysisTravel Required:NoneClearance Required:Ability to Obtain Public TrustWhat 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 organizationsStrong 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-DNIThe 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 InsurancePersonal and Family Sick Time & Company Paid HolidaysParental Leave401(k) Retirement PlanGroup Term Life and Travel AssistanceVoluntary Life and AD&D InsuranceHealth Savings Account, Health Care & Dependent Care Flexible Spending AccountsTransit and Parking Commuter BenefitsShort-Term & Long-Term DisabilityTuition Reimbursement, Personal Development, Certifications & Learning OpportunitiesEmployee Referral ProgramCorporate Sponsored Events & Community OutreachCare.com annual membershipEmployee Assistance ProgramSupplemental 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 bonusAbout GuidehouseGuidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [e-mail]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [e-mail]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.