Senior Consultant – Life Sciences Data & Analytics

Guidehouse

. Partner with pharmaceutical, biotech, medical device, and diagnostic clients to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions.

Posted 10/23/2026full-timeRemote • United StatesSenior💰 $98,000 - $163,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and statistical modeling within the pharmaceutical and biotech sectors, with a strong ability to communicate insights and recommendations to stakeholders. Proficient in managing client relationships and delivering regulatory and compliance solutions while coaching and mentoring junior staff.

Highest-signal resume keywords

Data AnalyticsSQL CodingPython ProgrammingPharmaceutical Industry KnowledgeExperience with Databricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical MethodsMachine LearningAdvanced AnalyticsData Quality CheckingData VisualizationProcess MappingWorkflow AutomationEHR Data AnalysisClaims Data Analysis

Soft Skills

Excellent Communication SkillsTeam CollaborationCoaching and MentoringIndependent AnalysisStakeholder Engagement

Tools & Technologies

Cloud Data PlatformsSnowflakeDatabricksPalantirAI/ML Applications

Industry Keywords

PharmaceuticalBiotechMedical DeviceProduct CommercializationMarket AccessPatient ServicesRegulatory ComplianceLife SciencesData-Driven Decision MakingHealth Data Sets

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Partner with pharmaceutical, biotech, medical device, and diagnostic clients to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions.
Manage data and technical delivery for client work.
Coach data engineers to execute client work.
Develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods.
Conduct advanced analytics using large datasets, including claims, affiliations, payer, sales, and other sources.
Build internal tools and automate workflows to accelerate delivery timelines and improve team productivity.
Clearly document and process-map techniques and train the business on their use.
Identify opportunities to improve outcomes.
Analyze complex information, quality-check results, and develop structured, data-informed stories.
Convey technical execution summaries and insight recommendations to stakeholders, including senior management.
Travel to Guidehouse and client sites across the US up to 10% of the time.

Requirements

What you’ll need

A BA/BS degree in a quantitative field, such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related course of study, is required.
Minimum of 3 years of prior relevant consulting or work experience working with large global pharma, mid-sized pharma, and/or biotech clients.
Strong understanding of the pharmaceutical industry, including drug development and launch.
Strong foundation across life science functions, including commercial operations, market access, patient services, and medical.
Ability to work independently to analyze complex information, quality check results, and develop a structured, data-informed story.
Excellent communication skills to convey technical execution summaries and insight recommendations to various stakeholders, including senior management.
Experience performing Data Analytics on large health data sets and strong knowledge of modern datasets and analytics environments.
Strong fluency coding in SQL, Python (or other equivalent scripting language), cloud data platforms, and knowledge of life sciences data, including claims, EHR, sales data, formulary, and coverage data.
Ability to work in a matrixed organization.
Must be collaborative and a team player.
Must be willing and able to travel to Guidehouse and client sites across the US, up to 10% of the time.
Excellent written and oral communication skills.
Advanced degree/PhD preferred.
Experience working with Databricks, Snowflake, and Palantir preferred.
Working knowledge of AI/ML and applications in the life sciences industry.
Demonstrated success supervising, coaching, and mentoring junior-level staff, including ownership and guidance of career development.
Preference for candidates local to the Washington, DC metro area.

Benefits

Comp & perks

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
Flexible benefits package