Guidehouse

Senior Data Scientist, Life Sciences Technology Solutions

Guidehouse

USD 135k–225k

United StatesFull TimeData
📍 United StatesPosted January 21, 1970
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Job Description

Job Family:

Software Development & Support

Travel Required:

None

Clearance Required:

None

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.

The annual salary range for this position is $135,000.00-$225,000.00. 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 & Long-Term Disability

  • Tuition Reimburseme

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