Senior Consultant - Life Sciences Data & Analytics

Guidehouse is a consulting organization with a Life Sciences practice serving pharmaceutical, biotech, medical device, and diagnostic companies. The Senior Consultant will manage data, deliver technical solutions, coach data engineers, develop predictive models, conduct advanced analytics on large healthcare datasets, and build tools and automated workflows to improve client delivery and team productivity.

Responsibilities

• Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health – this is undoubtedly a transformative time for health care companies. Guidehouse’s Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, medical device, and diagnostic companies develop custom solutions that tackle today’s challenges, while anticipating tomorrows. You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions
• As a Senior Consultant, you are responsible for data management, technical delivery, and coaching data engineers to execute client work. In this role you will develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods in addition to conducting advanced analytics using big datasets, including claims, affiliations, payer, sales, and other sources. You will be responsible for building internal tools and automating workflows to accelerate delivery timelines and improve team productivity. Strong candidates are able to clearly document, process map, and train the business on techniques utilized and constantly search for opportunities to improve outcomes

Preferred

• An advanced degree/PhD preferred
• Demonstrated success in formally supervising, coaching, and mentoring junior-level staff, including ownership and guidance of their career development
• Advanced Degree
• Staff Supervision
• Career Development
• Coaching
• Mentoring
• Leadership

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

Company

• AI-led advisory, technology, and managed services for enterprises
• Mclean, Virginia, USA
• https://guidehouse.com/
• Founded in 2018
• 10001+ employees

Qualifications

• 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
• 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 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)
• Ability to work in a matrixed organization
• Must be collaborative and a team player
• Must have excellent written and oral communication skills
• Experience working with data platforms such as Databricks, Snowflake, and Palantir
• Working knowledge of AI/ML and applications in the life sciences industry
• An advanced degree/PhD preferred
• Demonstrated success in formally supervising, coaching, and mentoring junior-level staff, including ownership and guidance of their career development
• 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.

Required skills

• Life Sciences Data Analytics, Pharmaceutical Industry Knowledge, Statistical and Machine Learning Methods, SQL, Python, Cloud Data Platforms, Healthcare Data Sets, Databricks, Snowflake, Palantir, AI/ML in Life Sciences, Coaching and mentoring

Preferred skills

• An advanced degree/PhD preferred

Experience

• 4+ years