Senior Data Scientist, Life Sciences Technology Solutions
Dallas, IA - USA
Job Summary
Job Family:
Software Development & Support
Travel Required:
Clearance Required:
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:
Masters 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
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 EmployerProtected 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.
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All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or . 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 Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants 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.
Required Experience:
Senior IC
About Company
Guidehouse is the only scaled advisory consultancy in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.