Associate Director, Informatics Data Architecture in Bernards, NJ at DSI

Date Posted: 10/27/2018

Job Snapshot

Job Description

Join a Legacy of Innovation 110 Years and Counting!

With over 100 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 15,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for hypertension and thrombotic disorders, under the Group’s 2025 Vision to become a “Global Pharma Innovator with a Competitive Advantage in Oncology,” Daiichi Sankyo research and development is primarily focused on bringing forth novel therapies in oncology, including immuno-oncology, with additional focus on new horizon areas, such as pain management, neurodegenerative diseases, heart and kidney diseases, and other rare diseases.

Job Summary:

The Associate Director, Informatics Data Architecture will work in the Informatics Data Architecture team to deliver foundational data capabilities for Translational Research, Sample Management and Master Data Management, etc. This position will have direct accountability to participate in the creation of data & information architecture for the R&D domain of Daiichi Sankyo globally. This position will be responsible to build and support Data Science, Machine learning and Advance Analytics capabilities.

  • Partner with R&D to develop an implementation plan for a Global R&D Data Architecture based on business, regional requirements and IT strategies.
    • Lead and contribute to the definition of an innovative, overarching data strategy and architecture that will align directly with business initiatives and overall digital transformation. This effort will embrace transactional, operational, analytical and BI data needs and strategies. Defining database design, data flows and data integration techniques. Architect and design solutions ensuring data quality, reliability, availability and data governance.
  • Lead the development of R&D Master Data Management, Analytics and Data Science capability.
    • Define strategies, solutions and processes for managing enterprise master data throughout the data lifecycle (capture, processing and consumption). Maximize business outcomes using MDM via improved data integrity, visibility, and accuracy.
  • Manage and Evolve global data platforms for Translational Research (Omics & Clinical), Sample Tracking, IDMP. Architect and enable technologies, data platforms and workflows to enable analysts and data scientists to focus on algorithms and analyses.
  • Serve as primary point of contact for implementation of complex data projects, support of existing data platforms and development of data management technologies in R&D. Provide project management, software and technical expertise. Provide risk analysis, business and technical assessment of change requests in relation to data platforms. Implement and document approved change requests.
  • Collaborate with domain experts in privacy, security, and compliance to ensure that the R&D data platforms uphold privacy, security, and compliance requirements. Serve as a liaison between the business and technical teams by planning, conducting, and capturing the analysis of complex, strategic privacy matters that require it solutions.

Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.

  • Qualified candidates must have a Bachelor’s degree in Computer Science or a related discipline from an accredited college or university;
  • 10 + years of experience in life sciences, pharma or informatics industry.
  • 10 + years of experience with Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, Discovery Data, etc.
  • 10 + years of experience with data integration tools using disparate data sources such as flat files, databases, xml files and/or unstructured data & web services.
  • 3 + years of experience with Master Data Management Technologies.
  • 3 + years of experience with Amazon Web Services (S3, RDS, Red Shift etc.).
  • 3 + years of experience with Big Data Technologies (Spark, Hadoop, Informatica BDE, etc.).
  • Extensive hands on experience with analysing and designing data models for Data warehousing and Transactional applications with high availability/ scalability & performance.
  • Good understanding of: Data Partitioning, Query Optimization & Database Structures.
  • Strong in UNIX shell/Perl scripting.
  • Proven ability to work in a global and highly matrix environment.
  • Familiarity with and understanding of key industry best practices as well as legislative, regulatory and industry artifacts/frameworks such as the following is preferred:
  • 21 CRF § 11: Electronic Records, Electronic Signatures
  • 21 CFR § 312.32: IND Safety Reports.
  • FDA Guidance for Clinical Investigators, Sponsors, and IRBs – Adverse Event Reporting to IRBs – Improving Human Subject Protection (January 2009)
  • FDA Guidance for Industry and Investigators - Safety-Reporting Requirements for INDs and BA/BE Studies (December 2012)
  • Japan Ministry of Health, Labor and Welfare artifacts

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.