Identify opportunities to build data science solutions that address complex business problems
Lead cross-functional teams in the implementation of Data Services tools
Support and lead the creation of relevant dummy data to test algorithms based on clinical study protocols and client needs
Collaborate with internal stakeholders to implement data standardization across our products
Communicate key insights and findings
Lead/Collaborate on deep-dives to identify root causes of data issues in systems owned by Data Services/Other Departments
Represent Data Science/Data Services at internal and external meetings with no oversight from Data Services leadership
Mentor junior team members to drive development of the Data Services team to always produce High Quality Data Services deliverables
Other duties as assigned
Requirements
6+ years working with data analyses/reports to provide data-driven conclusions / direction, of which at least 50% is directly related to clinical trials (especially DCTs) within the pharmaceutical industry
Practical experience in defining and maintaining Data Quality/Integrity
Demonstrated expert knowledge of the role that decentralized trials (DCTs) and data play in clinical drug development
Experience in leading cross-functional teams and representation of the data component
Ability to read and interpret clinical study protocols and other internal/external documents that define products/solutions/implementation plans, particularly where data form the key component of the deliverable
High attention to detail in order to draw insightful and data-driven business-relevant conclusions
Excellent communication and presentation skills with experience presenting to both internal and external stakeholders
Critical thinking and problem-solving skills
Bachelor’s Degree in related filed i.e. Data Science, Computer Science or Mathematics