Senior Consultant - Life Sciences Data & Analytics

What You Will Do

• Partner with pharmaceutical, biotech, medical device, and diagnostic clients to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions
• Develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods
• Conduct advanced analytics using big 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, process map, and train the business on techniques utilized
• Constantly search for opportunities to improve outcomes
• Responsible for data management, technical delivery, and coaching data engineers to execute client work

What You Will Need

• BA/BS degree in a quantitative field, such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related course of study
• 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 (e.g., 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
• Authorized/eligible to work for any US employer without sponsorship

What Would Be Nice To Have

• Excellent written and oral communication skills
• Advanced degree/PhD preferred
• Experience working with data platforms such as Databricks, Snowflake, and Palantir
• Working knowledge of AI/ML and applications in the life sciences industry
• Demonstrated success in formally supervising, coaching, and mentoring junior-level staff, including ownership and guidance of their career development
• Preference will be given to candidates local to the Washington, DC metro area

Pay

The annual salary range for this position is $98,000.00–$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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