Z

ZS

Global management consulting for sales optimization

Decision Analytics Consultant - Real World Evidence

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • An 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 is required.
  • Strong proficiency in Real-World Data (RWD), Real-World Evidence (RWE), and advanced analytics, including experience analyzing patient-level datasets.
  • At least 6 years of relevant full-time professional experience in RWD, RWE, HEOR, or related analytics roles.
  • Industry experience with pharmaceutical clients and the ability to work effectively with HEOR scientists.
  • Demonstrated analytical problem-solving skills and a creative, innovative approach to generating insights from complex datasets.
  • Strong oral and written communication skills to influence senior stakeholders and decision makers.
  • Ability to collaborate across teams and projects, with strong attention to detail and a quality-focused mindset.
  • Fluency in English.
  • Applicants must be authorized to work in the United States without current or future employer sponsorship.
  • An online application and a complete set of official or unofficial transcripts are required for consideration.

Responsibilities

  • 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 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 the selling and delivery of retrospective evidence-generation projects as part of the analytics team.

Desired Qualifications

  • Publications and advanced research experience are a plus.
  • Experience with HEOR, budget impact modeling, and retrospective evidence generation is highly preferred.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

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