Associate Director, Informatics Data Scientist

Join a Legacy of Innovation 110 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 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. Under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. Summary The candidate will work in the Informatics Data Science & Engineering team to help build and utilize a big-data platform for cancer genomics supporting global R&D Translational Science needs. This is a hands-on technical role in which the candidate aggregates clinical, research, and IoT data to enable healthcare collaboration and provide analytic capabilities Responsibilities

• Manage and Evolve global data platforms for Translational Research, Clinical Trials Operations, Clinical Study, Clinical Samples and Regulatory Science. Architect and enable technologies & platforms to facilitate data science practice
• Design and implement computational bioinformatics methods to analyze and interpret data from a wide variety of sources including clinical data, external literature, high throughput genomic data, clinical study data , sample annotations & biomarker data
• Utilize APIs, data exploration and data visualization tools and bioinformatics techniques to support discovery and pre-clinical/clinical studies such as new disease indication identification and biomarker development
• Collaborate with domain experts in privacy, security, and compliance to ensure that the R&D data platforms uphold privacy, security, and compliance requirements

Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation. Education Qualifications (from an accredited college or university)Master's Degree Master’s Degree required in Bio Informatics, Computer Science, Statistics, Data Science or a related field with focus on data analysis from an accredited college or university required. PhD preferred. Experience Qualifications

• 7 or More Years of experience in life sciences, pharma or informatics industry working with Clinical Trials Data, Genomics / Biomarkers, Real World, Discovery Data etc. required


• 7 or More Years of hands on experience of applying data science methods and tools to diverse problems using R and/or Python. Expert programmer in at least one language, with experience working in production environments. We have a strong preference for R, python and Java required


• 4 or More Years of experience with statistical analysis, bioinformatics/genomics tools (GATK, BEDtools, VCFtools, STAR aligner, DEseq, etc.) and databases is strongly preferred required


• 4 or More Years of experience with existing and upcoming statistical methods (supervised and unsupervised) in pharmaceutical data analysis required


• 4 or More Years of experience with Big Data Technologies (Spark, Hadoop etc.) required


• 4 or More Years of proven ability to work in a global and highly matrix environment preferred

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.