Principal Scientific Data Architect

Job Description We are currently seeking an individual to provide leadership in the development of the Data Architecture for such a platform. The selected candidate will possess a deep understanding of the workflows and processes within the biopharmaceutical industry, will understand the science that drives all aspects of the business from discovery to product manufacturing, and will be familiar with the nuances of managing such scientific data. Additionally, the selected candidate will possess a passion for the power of data to transform business processes, will have a clearly articulated philosophy regarding data architecture, and will be flexible enough to embrace both traditional and newer technologies for data integration and analysis. Develop data and information models to integrate data as part of clients’ scientific data platforms. Abstract across multiple client data environments to find commonalities in data models and solutions. Develop scalable data integration strategies leveraging relational and NoSQL data management technologies. Develop broad data architectures that satisfy client data integrations needs and provide responsive environments for data and information analytics. Effectively communicate proposed architectures to both technologists and business leadership. Research and recommend domain specific data ontologies and taxonomies for implementation in scientific data platforms. Actively evangelize for the power of proper data architecture and information environments as key agents of change in scientific business processes. Act as an internal subject matter expert and thought leader, helping to develop and provide stewardship for a LabAnswer methodology for modeling scientific data and information. Qualifications 15+ years’ experience in providing scientific information solutions to the biopharmaceutical industry. Experience in drug discovery, clinical development or commercial manufacture processes and lab informatics systems. Ability to effectively abstract data challenges while providing solutions that meet the needs of end users. Extensive experience in data modeling for scientific information needs. Experience with both traditional, relational data stacks and NoSQL technologies for data integration. Experience with scientific data analytics and associate tools commonly used in life sciences research and development. Basic Qualifications: Ability to effectively communicate, both verbally and through electronic media. Ability to work on complex projects with general direction and minimal guidance. Proven success working within matrixed teams. Strong team player who is able to collaborate with colleagues and business stakeholders on complex tasks distributed across multiple geographic locations. Prior work experience that demonstrates innovative application of data architecture, effective analytical thinking, and attention to detail. Education: Advanced Degree in a Scientific (Chemistry, Biology,…) or Information (Computer Science, Informatics,…) related discipline. Benefits Unlimited ceiling for professional growth opportunities within LabAnswer. Opportunities to take advantage of training programs to advance your career; extensive online library includes a assortment of technical and professional training tools and resources. Opportunities to work across a variety of industries (Pharmaceutical, Medical Device, Consumer Products, Energy, Environmental, Forensics, Genomics, Government etc.). Opportunities to work across a variety of laboratory environments (analytical testing, biotech, clinical trials, forensics, medical device, pharmaceutical, public health and research hospitals). Comprehensive health and welfare programs to fit your individual or family’s needs: 401(k) Retirement Saving that includes a generous employer match. Paid Time Off (vacation, sick, holiday). Company Paid Life Insurance. Company Paid Short and Long Term Disability Insurance. Wellness Plans and Rewards. Strong company values of teamwork, culture and values, personal and professional development, work-life balance, and recognition. Competitive compensation with opportunities to participate in employee bonus plan and travel bonus plan. #J-18808-Ljbffr LabAnswer