Senior Data Scientist, Life Sciences Technology Solutions

🕒 April 8

🇺🇸 United States – Remote

💵 $135k - $225k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

💰 Grant on 2023-02

Consulting • Digital Services • Public Sector

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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.)