Science 37 is accelerating the research and development of breakthrough biomedical treatments by bringing clinical trials to patients’ homes. We are seeking a razor-sharp Product Manager for our Data Innovation Team, eager to make an impact within a mission driven organization changing the world of clinical research. We are looking for an individual who has both the creative and technical know-how to expand our big data and analytics capabilities.
We expect you to be detail-oriented, have great communication skills, and leverage data to make strong decisions. You’ll collaborate with Engineering, Data Management, Design, and Operations to develop and execute novel approaches to building our data platform to help support our clinical trials and partners. In addition to relevant experience managing delivery of data and analytics products to active users, this role requires you to be a versatile, collaborative team player with plenty of initiative who enjoys handling complex, multi-faceted projects and who thrives in a fast-paced environment. You must be a strategic thinker who is able to bring high-level analytical skills to the table, while also being able to execute swiftly and effectively right down to the smallest detail.
Duties and Responsibilities
• Driving experience, integration and use of innovative data capture mechanisms that support evidence collection anywhere. This may include areas such as mobile, voice, devices, digital phenotypes and more
• Building upon the clinical trial platform to be best in class for real world evidence support – including collection, storage, analysis and insight
• Leverage large datasets to provide deeper analytics layer and predictive analytics around trial performance
• Establish processes, policies, guidelines, and responsibilities for ensuring the entire data flow is in compliance with business and regulatory requirements.
Qualifications
• Bachelor’s Degree
• 5+ years product management experience
• Experience in data management, big data analytics platforms, data warehousing and/or scaling data operations
• Experience shipping innovation features, starting from design of feature to being live with active users
• Organizational experience managing multiple ongoing initiatives
• Ideal candidate has experience in life sciences data science initiatives
Skills/Competencies
• Excellent analytical abilities and quantitative skills
• Excellent verbal and written communication skills
• Entrepreneurial team player with strong focus on collaboration
• Commitment to results and high quality
• Action oriented and innovative; able to translate broad goals into achievable steps
• Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses
• High level of integrity and dependability with a strong sense of urgency and results-orientation