Embedded Machine Learning Internship Jobs in Oregon

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What You Will Do:

The Senior Data Scientist, Life Sciences Technology Solutions, is responsible for designing, developing, and operationalizing data products, machine learning models, and AI-enabled capabilities within scalable technology platforms for biopharma clients. This role sits at the intersection of advanced analytics, AI/ML, and software-enabled delivery, embedding data-driven intelligence directly into applications, workflows, and decision systems.

The Senior Data Scientist works within cross-functional teams including product managers, engineers, and consultants to translate complex healthcare data into production-ready solutions. Success in this role is defined by the ability to build robust, reusable models and data assets that power real-time insights, support decision-making, and scale across clients and use cases.

• Design and develop data products and machine learning models embedded within client-facing platforms and applications.

• Operationalize analytics by integrating models, algorithms, and data pipelines into production systems and workflow-driven applications.

• Work with large-scale healthcare datasets (e.g., claims, EMR, and external data sources) to enable scalable insight delivery within platforms.

• Build and validate predictive, descriptive, and segmentation models that support decision systems across commercial, market access, and medical use cases.

• Contribute to development of AI/ML-enabled applications, including GenAI, RAG pipelines, and agent-based workflows, ensuring outputs are scalable, traceable, and production-ready.

• Collaborate with engineers and architects to deploy models via APIs, microservices, and cloud-based environments.

• Develop modular, reusable code, data pipelines, and feature libraries that can be leveraged across multiple solutions.

• Translate complex analytical logic into clear, user-facing outputs within applications, dashboards, and automated workflows.

• Ensure data quality, model performance, and governance standards across deployed solutions.

• Contribute to innovation and development of next-generation data products and analytics capabilities across the technology portfolio.

What You Will Need:

• Master's degree or PhD in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.

• 8+ years of experience developing and deploying AI/machine learning solutions in production environments.

• Strong experience working with large-scale healthcare or life sciences datasets (e.g., claims, EMR, or similar).

• Proficiency in Python and/or R, with strong SQL skills and experience building data pipelines.

• Experience deploying models within cloud environments (Azure, AWS, or GCP).

• Familiarity with API-based model deployment and scalable system integration.

• Strong problem-solving and communication skills, with the ability to operate in cross-functional teams.

What Would Be Nice To Have:

• Experience with GenAI, LLMs, RAG pipelines, or agent-based systems.

• Familiarity with healthcare data models, payer/provider structures, and life sciences use cases.

• Experience building reusable data products or analytics-enabled applications.

• Exposure to MLOps practices, model monitoring, and lifecycle management.

• Consulting or client-facing experience in life sciences or healthcare technology.

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 & 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

About Guidehouse

Guidehouse 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 RecruitingAccommodation@guidehouse.com. 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 guidehouse@myworkday.com. 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 recruiting@guidehouse.com. 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.