The Data Partnership Associate 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
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
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
Manage and document requests and activities thoroughly. Execute reporting tasks to ensure accurate and timely delivery of information
Support the Senior Leadership team and assist in project management responsibility i.e., Project planning, staffing management, people growth, etc.
Adhere to compliance standards in all activities
Qualifications:
Bachelor's degree, with strong academic performance in analytic and quantitative coursework
Minimum 2 years of relevant job experience; prior experience 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) would be a plus
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