Share this Job
impact where it matters

Data Science Manager/Real World Evidence Analytics Lead (Princeton, NJ)

ZS is a professional services firm that works side by side with companies to help develop and deliver products that drive customer value and company results. From R&D to portfolio strategy, customer insights, marketing and sales strategy, operations and technology, we leverage our deep industry expertise and leading-edge analytics to create solutions that work in the real world. Our most valuable asset is our people—a fact that’s reflected in our values-driven organization in which new perspectives are integral and new ideas are celebrated. ZSers are passionately committed to helping companies and their customers thrive in industries ranging from healthcare and life sciences, to high-tech, financial services, travel and transportation, and beyond.


ZS's Business Consulting 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.


Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including claims, EHR, registry and other big healthcare data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space.


  • Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform for life sciences R&D use cases;
  • Provide expertise in architecting and implementing analytical solutions for projects;
  • Manage projects and assist in managing stakeholder relationships;
  • Direct multiple projects simultaneously, honing analytical and project management skills;
  • Motivate, coach and serve as a role model for space team members;
  • Provide thought leadership and innovation within projects and across practice areas;
  • Partner with R&D service lines to develop new business with existing and new clients;
  • Develop and implement specific frameworks for strategy and programs;
  • Contribute to ZS’s capability building and knowledge creation;
  • Coach, mentor, and conduct training programs;
  • Play an active role in team growth related initiatives (e.g. recruiting, training, etc.).


  • Graduate degree (Ph.D. or Masters) in Computer Science, Statistics or related discipline;
  • 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute;
  • Experience with big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
  • Relevant programming background (e.g. Java/Python/R);
  • Expertise in Life Sciences Research & Development or broader product lifecycle functions preferred;
  • Strong understanding of relevant tools/platforms (e.g. Hadoop eco system and database systems);
  • Proven track record of business development
  • Agile project planning and project management experience;
  • Team management and skill development experience;
  • Relevant domain knowledge preferred; (healthcare/transportation/hi-tech/insurance);
  • Excellent oral and written communication skills;
  • Strong attention to detail, with a research-focused mindset;
  • Excellent critical thinking and problem-solving skills;
  • High motivation, good work ethic and maturity.
  • Relevant domain knowledge preferred; (healthcare/transportation/hi-tech/insurance);
  • Excellent oral and written communication skills;
  • Strong attention to detail, with a research-focused mindset;
  • Excellent critical thinking and problem solving skills;
  • High motivation, good work ethic and maturity.




ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian language is desirable. 
Candidates must possess work authorization for their intended country of employment. An on-line application, including a cover letter expressing interest and a full set of transcripts (official or unofficial), is required to be considered.
ZS offers a competitive compensation package with salary and bonus incentives, complete medical/dental/life insurance programs and retirement savings benefits. We are an Equal Opportunity Employer.

Connect with ZS on social media:

ZS has been recognized globally for its expertise in consulting and its flexible work environment. View ZS’s accolades.