Managing Consultant - Life Sciences Advisory - Data & Analytics

What You Will Do

We are looking for a Managing Consultant 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.

Strategy & Transformation Consulting

Up to 25%

None

• 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 work streams 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.

• Bachelor’s degree.
• 4+ years of Life Sciences industry, management consulting, and/or data vendor experience is required, plus advanced degree MBA, PhD, Pharm
  
  D or MD.
• 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…