Knowledge Services Associate Consultant - Data Office

What you'll do:

• Develop an in-depth understanding and expertise in the global healthcare data landscape, including key data assets available at ZS and through our partnerships with data vendors
• Collaborate with ZS stakeholders, including client service teams and practice areas, to identify and translate their business needs into data requirements
• Engage with data providers/sources to effectively address the evolving needs of the business teams
• Assist in the exploration and development of innovative data options in collaboration with team members and data partners
• Present and explain data alternatives to ZS stakeholders, facilitate the selection and implementation of optimal data solutions, and guide them through ZS compliant data access processes
• Manage and document requests and activities thoroughly. Execute reporting tasks to ensure accurate and timely delivery of information
• Collaborate with an extended global team of diverse skill sets (knowledge management, data technologists, business operations, etc.)
• Support research initiatives, internal projects, and marketing endeavors while ensuring seamless communication
• Oversee day to day team activities & reporting tasks to ensure accurate and timely delivery of information
• Mentor/coach junior members in the team
• Support efforts towards driving utilization for data assets available at ZS
• Adhere and supervise team members adherence to compliance standards in all activities

What you'll bring:

• Minimum of a Bachelor's degree (with a quantitative focus such as Biology, Physics, Business, Analytics) with strong academic performance
• 3-4 years of relevant job experience; prior experience in Data Strategy/management and Life Science, working with consultancy firms, life science companies, or healthcare data providers preferred
• Knowledge of healthcare data and experience of its practical applications (e.g., patient-level EMR, claims, omics, data and experience with RWD/RWE projects or omics data) preferred
• Ability to translate unstructured problems into actionable requirements and approaches
• Self-starter, with high motivation, maturity, and personal initiative
• Strong oral and written communication skills
• Empathy, adaptability, and customer service orientation
• Self-discipline for planning and organizing tasks, and delivering in an unstructured environment
• Ability to multi-task and manage competing priorities, in a fast-paced context