The Data Partnership Consultant, based in Buenos Aires (Argentina) will provide services to our Client Service Teams and Practice Areas. Post gaining a deep understanding of the healthcare data landscape, existing data partnerships, and internal processes, he/she will be advising ZS stakeholders on the potential data options to support ZS clients and internal projects while ensuring the compliant use of data.

To deliver on our promise, the individual will collaborate closely with the broader Data Strategy & Partnerships team spread across Argentina, the United States, Europe, and India.

 

Responsibilities: 

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
Lead 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 collaborate with an extended global team of diverse skill sets (knowledge management, data technologists, business operations, etc.)
Lead 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
Partner with the Senior Leadership team and assist in project management responsibility i.e., Project planning, staffing management, people growth, etc. Mentor/coach junior members in the team.
Adhere and supervise team members’ adherence to compliance standards in all activities
 

Qualifications: 



Bachelor's degree, with strong academic performance in analytic and quantitative coursework (Math, Physics, Engineering, Statistics, Data Science, Biotechnology)
5-8 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