Data Science Manager – R&D (Life sciences)

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 an d 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 and

make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more 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.

Data Science Manager R&DAs the Data Science Manager for the Life Science Research & Development team, youll lead your team to create data-driven solutions using ML algorithms. Youll 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.