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Urgent! Advanced Analytics Manager – ZS Discovery Job Opening In Princeton – Now Hiring ZS

Advanced Analytics Manager – ZS Discovery



Job description

ZS is a place where passion changes lives.

As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people.

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.

Our most valuable asset is our people.

At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are andmake us unique.

We believe your personal interests, identities, and desire to learn are part of your success here.

about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

ZS’s Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics.

We work closely with other ZS practices, bringing hands-on scientific expertise to enhance both technology and strategy initiatives.

As a Venture within ZS, we continuously develop, test, and refine new approaches to maximize impact for our clients and the patients they serve.

This unique position enables us to combine agility and innovation with the resources and knowledge of ZS’s 13,000+ global team.

ZS is expanding the Discovery Venture and seeking driven, curious, and creative leaders to help shape the practice area, collaborate across ZS’s R&D teams, and lead a rapidly growing global team.

ADVANCED ANALYTICS MANAGER - ZS DISCOVERY

The Advanced Analytics Manager will be responsible for contributing to the growth of the Venture by applying scientific and technical expertise to generate new Discovery opportunities, build long term trusted advisory relationships with key stakeholders in pharma/biotech, and develop & deliver solutions relevant to your client base.

You will promote ZS’s capabilities in the industry, growing our client awareness and presence.

What You’ll Do

  • Create measurable impact across many clients by delivering innovation throughout the drug discovery process
  • Partner with ZS leaders and client service teams to sell and deliver Discovery projects for Life Science clients, including project scoping, approach definition, project management and execution, client communication, people management
  • Serve as a primary day-to-day project lead, manage multiple workstreams ensuring fulfillment of project objective on-time and on-budget
  • Serve as Subject Matter Expert to support teams in client project proposals, client discussions, thought leadership, etc.
  • Build long term, trusted relationships with clients & internal stakeholders
  • Stay current on latest research and drug discovery trends; develop Points of Views, offerings, frameworks, tools, whitepapers, etc.

    on discovery innovations to build firm intellectual capital and thought leadership
  • Partner with other Discovery leaders to support team growth and development includingmentoring / coaching junior members of the team, manage and collaborate with an extended global team of diverse skill sets
  • What You’ll Bring

  • Demonstrated ability to effectively apply advanced algorithms and technologies (Deep learning, NLP, recommenders, distributed computing, etc) to solve complex, real-world problems
  • Experience framing first-of-a-kind business problems into analytical solutions and then going beyond the POC to deploy large-scale AI solutions in production
  • Ability to blend team leadership with hands-on contributions to stay at leading edge of innovation
  • Demonstrated leadership the use of advanced analytics to improve drug discovery
  • Passion to transform therapeutic discovery across the industry
  • PhD, MBA or other advanced degree is highly desirable 
  • Approximately 6-8+ years of relevant prior experience, ideally including professional service or management consulting experience
  • Experience working with pre-clinical research clients is highly desirable but not necessary
  • Record of successful and continued business development 
  • Ability to communicate clearly and effectively in oral and written form
  • Strong-decision making skills and ability to influence others 
  • Analytical problem solving skills, with an ability to see the big picture and delve into details 
  • Excellent organization and planning skills
  • Eagerness to learn, grow, and work collaboratively 
  • Perks & Benefits:ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development.

    Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

    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 professional growth by working in different environments and cultures.


    Required Skill Profession

    Mathematical Science Occupations



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