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.
Insights & Analytics
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
- Develop and apply advanced statistical models that help clients understand dynamic business issues.
- Leverage analytic techniques to use data to guide client and ZS team decision-making.
- Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs.
- Synthesize and communicate results to clients and ZS teams through oral and written presentations.
- Develop client relationships and serve as key point of contact on aspects of projects.
- Provide client and ZS teams project status updates.
- Create project deliverables and implement solutions.
- Advance problem-solving skills and improve ZS’s capabilities;
- Guide and mentor Associates on teams.
What You’ll Bring
- Experience in working with the Pharma Industry.
Experience in working with real world data sources such as patient
claims data, EMR, consumer data etc
- Experience in analysis of large data sets; SQL-R, programming skills
- Experience in the statistical design and analysis of prospective or retrospective observational studies and familiar with
working with large epidemiological datasets focusing on anonymized data
- 3 – 6 years’ work experience with domain knowledge/expertise in Healthcare/Life Sciences/Med Tech is
preferred
- MBA with bachelor's (and often graduate) degrees in engineering, business, psychology or physical/life
sciences with a strong academic record of analytic and quantitative work
- Agile project planning and project management skills
- Excellent communication skills
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
Perks & Benefits:
At ZS, your growth matters.
We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development.
With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community.
For details on total rewards in , visit .
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working.
A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week.
The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority.
While some projects may be local, all client-facing ZSers should be prepared to travel as needed.
Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance skilled growth by working in different environments and cultures.
Required Skill Profession
Mathematical Science Occupations
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