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ZS Associates
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Decision Analytics Consultant – Real World Evidence

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Recruitment began on July 15, 2026
and the job listing Expires on September 19, 2026
New York, NY Full-time
Apply Now

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

What you’ll do: Decision Analytics Consultant in the Insights & Analytic Group will…

ZS’s Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.    

What You’ll Do  

  • Leverage Real-World Data (RWD) and Real-World Evidence (RWE) analytics skills to answer questions related to retrospective evidence generation for pharmaceutical clients.
  • Collaborate with clients and internal teams to understand evidence generation needs and identify the most relevant data sources and analytical methods.
  • Execute structured analyses using patient-level data to generate insights for evidence planning, Health Economics and Outcomes Research (HEOR) studies, and budget impact modeling.
  • Present analytical results in a business-focused, actionable way for internal and external stakeholders.
  • Gain familiarity with client processes, pharmaceutical products and pipeline projects.
  • Develop domain expertise in RWD, RWE, HEOR, and health economics, contributing to talent development and evidence delivery capabilities.
  • Support both the selling and delivery of retrospective evidence generation projects as part of the analytics team.

What You’ll Bring 

  • Advanced degree (Master’s, PhD, or equivalent) in a quantitative, analytical, or health-related discipline such as Data Science, Applied Mathematics, Statistics, Economics, Epidemiology, or HEOR. Publications and advanced research experience are a plus.
  • Strong proficiency in Real-World Data (RWD), Real-World Evidence (RWE), and advanced analytics with experience analyzing patient-level datasets.
  • 6+ years of relevant full-time professional experience in RWD, RWE, HEOR, or related analytics roles.
  • Experience with HEOR, budget impact modeling, and retrospective evidence generation is highly preferred.
  • Industry experience with pharmaceutical clients and ability to work effectively with HEOR scientists.
  • Demonstrated analytic problem-solving skills and a creative, innovative approach to generating insights from complex datasets.
  • Excellent oral and written communication skills, enabling effective influence with senior stakeholders.
  • High motivation, strong work ethic, and ability to collaborate across teams and projects.
  • Aptitude for, and enjoyment of, leading and managing teams. 
  • Effective oral and written communication skills that enable personal impact with senior-level decision makers. 
  • Strong attention to detail, with a quality-focused mindset.
  • Analytic problem-solving skills, with a creative and innovative outlook.
  • Client service orientation. 
  • Fluency in English.
  • Client-first mentality.
  • Intense work ethic.
  • Collaborative spirit and problem-solving approach.

How you’ll grow:

  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

 

Apply Now

Contact & Location

Phone
301-405-2301
Email
smithocsquestions@umd.edu
Address

Robert H. Smith School of Business
2570 Van Munching Hall
University of Maryland
College Park, MD 20742-1815

Career Service Hours

M Monday 8:30am - 5:00pm
T Tuesday 8:30am - 5:00pm
W Wednesday 8:30am - 5:00pm
TH Thursday 8:30am - 5:00pm
F Friday 8:30am - 5:00pm

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