Science 37 is accelerating the research and development of breakthrough biomedical treatments by bringing clinical trials to patients’ homes. By leveraging the latest innovations in mobile technology, cloud services, telemedicine, and mass-engagement channels like Facebook and Google, we are breaking down traditional geographic barriers to patient trial participation while shortening the time needed to bring new treatments to market.

We value employee well-being and aim to provide team members with everything they need to succeed. Enjoy daily healthy catered lunches, snacks and beverages, and top-notch equipment such as the latest Macbook Pro, 4k monitors, and adjustable standing desks.

As part of the Science 37 Tech team, the Clinical Data Architect will collaborate with motivated, energetic, and entrepreneurial individuals working together to achieve Science 37’s mission of changing the world of clinical research through patient-centered design. Specifically, the Clinical Data Architect will contribute critical data analysis and reporting functions from designing information architecture and data-modeling processes to executing data requests for key stakeholders. S/he will investigate challenges and gather requirements from stakeholders and devise the solutions to help grow our business. S/he will be focused on delivering analysis, design, development, and integration of complex architectures and systems. S/he will execute Proof of Concepts and research new technologies to meet business requirements.

DUTIES AND RESPONSIBILITIES

Duties include but are not limited to:

• Create import and export programs in standard, client-specific, and CDISC compliant formats.
• Maintain all supporting documentation for studies in accordance with WSOPs/Guidelines to ensure traceability and regulatory compliance.
• Participate in internal/external audits and regulatory inspections as required.
• Expand knowledge of SAS and relevant programming languages in the Clinical space.
• Develop mapping specification for data exports in accordance with applicable standards.
• Identify and develop new and improved components within CDM to meet client needs
• Generate models and schemas to meet specific client needs

QUALIFICATIONS & SKILLS

Minimum Qualifications:

• S. in computer science, engineering, informatics, math, statistics, or equivalent experience
• 5+ years’ experience in Clinical trials (or related healthcare field), programming, and data analysis
• Demonstrate ability to learn new systems and function in an evolving technical environment
• Strong organizational skills, ability to manage competing priorities, and flexibility to change
• Business skills to gather stakeholder requirements and proactively identify solutions
• Work effectively in a quality-focused, regulated environment
• Passionate about the Science 37 mission 

Preferred Qualifications:

• Advanced degrees in engineering, computer science, informatics, math, statistics, or related technical field
• Understanding of SAS, HL7, BRIDG, XML, SQL, Software development, implementation architecture, project management
• Knowledge of WSOPs/Guidelines/System Life Cycle methodologies, ICH-GCP and any other applicable local and international regulations such as 21 CFR Part 11 and proven practical application.

Skills/Competencies

• Expertise in project management - demonstrated ability to successfully manage people/projects. Proactive problem solving abilities and follow through. Ability to create and review protocols, programs, and assess the success of a project.
• Knowledge of organizational field strategies - The ability to adapt to a rapidly changing work environment. Successful decentralized team management and situational responsive decision-making.
• Knowledge of clinical research - Understands the drug development process. Knowledgeable about the critical elements for success in clinical trials; participation in and contribution to these activities.
• Ability to understand business requirements- Must be able to translate business requirements into technical designs, deal with complexities of integration of disparate systems, investigate the quality of the data in those systems and put it all together so it can be accessed, manipulated and turned into business intelligence.
• Extensive knowledge of healthcare data- The ability to use healthcare data and business practices and processes in order to provide appropriate and accurate levels of data intelligence to business development team.
• Strong communication and presentation skills - Demonstrates strong written and verbal communication skills. Ability to establish and maintain positive Sponsor, project team member and internal Science37 relationships. Ability to conduct effective presentations.
• Computer skills – Advanced level of competency in computer applications with MS Office, Excel, PowerPoint and Google applications. Able to generate business correspondence, create forms and generate reports as required. Willingness to gain expertise in the use of propriety software.
• Practices professionalism and integrity in all actions – Demonstrated ability to foster concepts of teamwork, cooperation, self- control, and flexibility to get the work done.
• Other – Ability to communicate in English (both verbal and written)