Director - Life Sciences Advisory - Data Science

Job Family:

Travel Required:

Clearance Required:

We are looking for a Director to join our Life Sciences team, which supports pharmaceutical and biotech companies with commercial insights and strategy as well as data and business analytics. This role will be a primary member of our Life Science advisory team, and collaborate closely with our firmwide Data, Advanced Analytics, and Technology Transformation teams to shape the growth of our Life Science data services offerings.

Candidates should be market-facing self-starters who take ownership of their work, are enthusiastic, and have a collaborative mindset to support our efforts to sell and provide consulting solutions. You will coordinate activities across multiple projects and provide experience-based insight across strategy, commercial analytics, and data-driven solution design.

Key responsibilities include:

• Translate clients key business questions and structuring/executing comprehensive analytics plans to provide necessary insights (e.g., cross-sectional analyses, longitudinal studies, inferential statistics, and structured decision support).
• Convey and summarize detailed data insights through a strategic lens that is understandable and actionable by cross-functional internal/external stakeholders.
• Leverage various commercial and real-world evidence datasets to drive insights that address client business problems, which include but are not limited to medical and pharmacy claims (open and closed), formulary and managed care data, and EMR data.
• Utilize datasets across multiple third-party data vendors, which include but are not limited to IQVIA, Komodo, Compile, MMIT/Norstella, Symphony Health, Truven/Merative, and Definitive Healthcare.
• Lead internal and external discussions to understand and generate project requirements, scope, and develop client-tailored analytical solutions.
• Shape data-driven engagements by serving as an intermediary between data scientists and clients.
• Understand and analyze client business challenges and match them to firm and/or third-party data and analytic capabilities.
• Work with strategy consulting teams and data science teams to design and execute data-driven projects, such as market sizing/segmentation, patient journey, provider profiling/targeting, provider affiliation mapping, epidemiology studies, managed care analytics, pull-through modeling/program design, forecasting, field force design, KPI/performance tracking, and incentive comp.   
• Help design and lead the development of new solutions/services firmwide.  
• Apply strong analytical and problem-solving skills to translate business requirements into technology solutions.
• Provide support across multiple client engagements; develop presentations, briefings, memos, and reports. Should be able to work independently but with oversight from management.
• Prioritize and handle multiple tasks, research, and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate effectively in written and verbal formats to various audiences (including multiple levels of management and external clients) in a professional business environment. 
• Experience in managing independent as well as integrated project modules including ownership of workstreams and coaching/mentoring others.  
• Present proposals and deliverables during meetings, summits, and working sessions with senior client executives. 
• Support managing contract budgets, developing and sharing best practices, and evolving Guidehouse’s data and analytics capabilities.  

What You Will Need:

• Bachelor’s degree.
• 10 + years of Life Sciences industry, management consulting, and/or data vendor experience is required.
• Experience in commercial management consulting functions such as portfolio and asset strategy, data/commercial analytics, launch excellence & brand planning, patient services and market access is a plus.   
• Must possess strong analytical skills (Excel, Access, etc.) and leverage analytic techniques to use data to guide client and team decision-making.
• Must have advanced data collection, research, and information-finding experience and explore solutions that challenge critical thinking.
• 7+ years of experience in business & data analytics.
• Experience with sophisticated drug forecasting techniques.
• Must be willing to travel to client sites across the US up to 30% of the time.
• Authorized to work for any US employer without sponsorship.

What Would Be Nice to Have:

• Advanced degree, MBA, Information Systems, Healthcare Management, Innovation and entrepreneurship, or similar quantitative discipline.
• In-line and pipeline forecasting and NPV modeling.
• Technical/product management and software experience.
• Experience with common analytic toolsets such as SQL, R, Python, Snowflake.
• Proficiency in data visualization services such as PowerBI, Tableau.
• Ability to build client-ready forecast models/ financial models.
• Ability to work with large data sets such as claims data.
• Excellent attention to detail and ability to review work products of self and others and produce work products and deliverables that require minimal re-work or editing.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• 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

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.