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 9/23/2026full-timeRemote • United StatesSenior💰 $98,000 - $163,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, predictive modeling, and advanced analytics within the pharmaceutical and biotech sectors. Proficient in managing client engagements, mentoring junior staff, and conveying technical insights to stakeholders.

Highest-signal resume keywords

Data AnalyticsPredictive ModelingSQL ProgrammingPharmaceutical Industry KnowledgeMentoring and Coaching

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsPredictive ModelingStatistical MethodsMachine LearningSQL ProgrammingPython ProgrammingData ManagementAdvanced AnalyticsQuality CheckingProcess Documentation

Soft Skills

Excellent CommunicationTeam CollaborationIndependent AnalysisCoaching and MentoringStakeholder Engagement

Tools & Technologies

DatabricksSnowflakePalantirCloud Data PlatformsEHR Systems

Industry Keywords

PharmaceuticalBiotechMedical DeviceRegulatory ComplianceMarket AccessCommercial OperationsPatient ServicesData-informed StorytellingLife SciencesHealth 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 management and technical delivery for client work.
Coach data engineers executing client engagements.
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.
Document processes, create process maps, and train the business on techniques used.
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.
Supervise, coach, and mentor junior-level staff and guide their career development.

Requirements

What you’ll need

A BA/BS degree, preferably in an analytics field such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related course of study, is required.
Minimum of four (4) 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.
Advanced degree/PhD preferred.
Experience with data platforms such as Databricks, Snowflake, and Palantir.
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 their career development.
Excellent written and oral communication skills.

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
Up to 10% travel