Data Science Manager - R&D (Life sciences)

Reposted Yesterday
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Gurugram, Haryana, IND
Hybrid
Senior level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
The Data Science Manager will lead the Life Sciences R&D team, designing ML solutions, developing strategies, and managing projects while driving innovation and client relationships.
Summary Generated by Built In
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.
Data Science Manager - R&D
As the Data Science Manager for the Life Science Research & Development team, you'll lead your team to create data-driven solutions using ML algorithms. You'll educate teams on machine learning models and help turn goals into data solutions. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. In addition to advanced analytics skills, the candidate should also be skilled in integrating and preparing large, varied datasets, implementing specialized database and computing environments, and communicating results. This role requires a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to efficiently cycle hypotheses through the discovery phase of the project.
What You'll Do -
  • Design and implement AI/ML solutions tailored to life sciences R&D needs, including drug discovery, clinical trials, and regulatory compliance.
  • Develop and implement data science strategies that align with the overall goals of the R&D team and the organization.
  • Lead the development of RFP responses, proposals, and POVs for potential and existing clients
  • Build and maintain strong relationships with clients, acting as a trusted advisor on AI/ML capabilities
  • Oversee project execution, ensuring timely and high-quality delivery
  • Design and implement predictive models and machine learning algorithms to support research objectives
  • Demonstrate proficiency with various approaches in regression, classification, and cluster analysis
  • Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform;
  • Stay current with the latest advancements in data science and life sciences, and apply this knowledge to drive innovation.
  • Communicate findings and insights to stakeholders through reports, presentations, and publications.
  • Provide thought leadership and innovation through research and publication.

What You'll Bring -
  • Bachelor's or Master's in Data Science, Computer Science, Bioinformatics, or a related field.
  • 10-14 years of experience in data science, with at least 2 years in a managerial role within the life sciences industry.
  • Demonstrated experience in the life sciences industry, particularly in R&D.
  • Proven track record of driving business development, including responding to RFPs and building POVs.
  • Must have experience in statistical programming in R, SAS, SPSS, MATLAB, Python or TensorFlow
  • Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks and tools.
  • Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
  • Proven leadership and team management skills, with the ability to inspire and motivate a team.
  • Excellent verbal and written communication skills, with the ability to present complex information clearly and effectively.
  • Ability to work collaboratively in a multidisciplinary environment.

If you are passionate about data science and its application in life sciences, and you have the skills and experience to lead a dynamic team, we encourage you to apply for this exciting opportunity.
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 India , visit ZS India office locations | Where we work | ZS .

Top Skills

Matlab
Python
R
SAS
Spss
SQL
TensorFlow

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
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The Company
HQ: Evanston, IL
13,000 Employees
Year Founded: 1983

What We Do

ZS is a management consulting and technology firm that partners with companies to improve 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. Founded in 1983, ZS has more than 13,000 employees in over 35 offices worldwide.

Why Work With Us

ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.

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About our Teams

ZS Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week
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