Senior Life Sciences Data Analyst

**Overview:**

We are seeking a highly experienced Senior Life Sciences Data Analyst to join our team in Guidehouse's Life Sciences practice. As a Senior Consultant, you will partner with clients across all levels to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions. You will develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods, and conduct advanced analytics using large datasets. **Responsibilities:**

• 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
• Partner with clients across all levels to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions
• Develop and maintain strong relationships with clients and internal stakeholders
• Collaborate with data engineers to execute client work and develop new tools and methodologies
• *Qualifications:**
• 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
• A 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
• The 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 possess a 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 (e.g., claims, EHR, sales data, formulary, and coverage data)
• *Benefits:**
• 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