Senior Consultant - Life Sciences Data & Analytics
About The Position
Guidehouse’s Life Sciences practice partners with pharmaceutical, biotech, medical device, and diagnostic companies to develop solutions for product planning, pricing, reimbursement, commercialization, and regulatory and compliance challenges. As a Senior Consultant, you will manage data and technical delivery and coach data engineers on client work. You will develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods, and conduct advanced analytics on large datasets such as claims, affiliations, payer, and sales data. You will also build internal tools and automate workflows to accelerate delivery and improve team productivity. The role requires documenting and process-mapping techniques, training business users, and identifying opportunities to improve outcomes. Travel to Guidehouse and client sites across the United States may be required up to 10% of the time.
Requirements
- Bachelor of Arts or Bachelor of Science degree in a quantitative field such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or a related course of study.
- At least 3 years of relevant consulting or work experience 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 sciences 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 for conveying technical execution summaries and insight recommendations to stakeholders, including senior management.
- Experience performing data analytics on large health datasets and strong knowledge of modern datasets and analytics environments.
- Strong coding fluency in SQL and Python or another equivalent scripting language.
- Experience with cloud data platforms and knowledge of life sciences data, such as claims, EHR, sales, formulary, and coverage data.
- Ability to work in a matrixed organization.
- Collaborative approach and ability to work as a team player.
- Willingness and ability to travel to Guidehouse and client sites across the United States up to 10% of the time.
Nice To Haves
- Excellent written and oral communication skills.
- Advanced degree or PhD.
- Experience with data platforms such as Databricks, Snowflake, and Palantir.
- Working knowledge of AI/ML and applications in the life sciences industry.
- Demonstrated success formally supervising, coaching, and mentoring junior-level staff, including guiding their career development.
- Preference for candidates local to the Washington, DC metro area.
Responsibilities
- Manage data and technical delivery for client engagements.
- Coach data engineers in executing 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 and improve team productivity.
- Document and process-map techniques and train business users.
- Identify opportunities to improve outcomes.
- Analyze complex information, quality-check results, and develop structured, data-informed stories.
- Communicate technical execution summaries and insight recommendations to stakeholders, including senior management.
Benefits
- Medical, prescription, dental, and vision insurance.
- Personal and family sick time and company-paid holidays.
- Potential eligibility for a discretionary variable incentive bonus.
- Parental leave and adoption assistance.
- 401(k) retirement plan.
- Basic life and supplemental life insurance.
- Health Savings Account and dental, vision, and dependent care Flexible Spending Accounts.
- Short-term and long-term disability.
- Student loan paydown.
- Tuition reimbursement, personal development, and learning opportunities.
- Skills development and certifications.
- Employee referral program.
- Corporate-sponsored events and community outreach.
- Emergency back-up childcare program.
- Mobility stipend.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
