Job Information
Daiichi Sankyo Inc. Director, Translational Bioinformatics, Digital and Computational Pathology in Basking Ridge, New Jersey
Join a Legacy of Innovation 125 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 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 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 cardiovascular diseases, 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.
Job Summary:
This role is part of Daiichi Sankyo Translational Science Oncology department and will participate in research towards utilizing digital and computational pathology approaches and related biomarker data for understanding drug mechanism of action, patient selection and patient enrichment strategies for programs across the clinical portfolio.
The successful candidate for this position will provide technical and scientific leadership in conducting histopathology and digital & computational pathology-based biomarker data analysis in support of translational science goals for oncology programs. The primary datasets will be derived mostly from analysis of Daiichi Sankyo sponsored clinical trials as well as pre-clinical data and may require bringing in additional sources of information.
S/he will contribute to the translational and precision medicine strategies by influencing methodologies, technologies and analysis utilized in translational research and deliver insights that will influence and drive clinical development decision-making. Besides global Bioinformatics teams, this role will require collaborating across functions and geographies with Translational Science Strategy leads, Clinical Pathology, Clinical Biomarkers and Biostats. Additionally, S/he will identify and interact with key external experts and collaborators and monitor progress toward goals of research programs.
Responsibilities
Collaborate with translational scientists to develop translational study and analysis plans supporting biomarker research and development across our pipeline with focus on digital and computational pathology approaches,
Plan and deliver bioinformatics and correlative analyses to project teams in support of the translational science and digital and computational pathology goals.,
Collaborate with the cross-functional stakeholders to shape our ecosystem both by improvements in data and analysis platforms as well as processes for data and analyses delivery.
Evaluate data resources and analysis methodologies, initiate or participate in collaborations to enhance bioinformatics and translational research capabilities globally at DS relating to digital and computational pathology.
Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.
Education
- PhD, MD or master’s degree in STEM or related areas required
Experience:
7 or more years with PhD or MD, 12 years with master’s degree required.
Experience in bioinformatics / computational biology required
Experience in oncology drug development at a biopharmaceutical company in Translational Sciences or Medicine preferred
Competencies:
Expertise in correlative and integrative analyses using data from digital and computational pathology (IHC, H&E) and clinical outcomes data for informing patient selection and patient stratification approaches. Expertise in datasets and methods in areas such as spatial profiling, and digital and computational pathology. Knowledge of various bioinformatics and statistical methodologies utilized in biomarker research.
Experience in correlative analysis using data from genomics platforms (e.g. Gene panels, WGS/WES sequencing, RNA sequencing etc.) as well as other clinical biomarkers (e.g. IHC, Cytokine profiling, Flow cytometry etc.) and clinical outcomes data.
Hands on programming skills using R, Python or other commonly used scripting and programming languages in bioinformatics and developing dashboards to share results. Knowhow of clinical data formats and commonly utilized biomarker data formats for digital and computational pathology.
Excellent working knowledge of cancer biology, cancer genomics/genetics and related data resources and application of various omics and digital pathology technologies to understand disease and disease heterogeneity and its application in enabling translational research.
Excellent collaborative and communication skills in cross-functional setting
Travel: 0-10%
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.
At the heart of Daiichi Sankyo, Inc. is the fundamental belief that each employee helps shape our success. We have created an exceptional working environment that values and rewards individual contributions, but we also believe in the power of collaboration. We provide employees with the training, tools and technology that they need to excel. Our open communication, emphasis on results, and spirit of personal accountability are hallmarks of our corporate culture and ensures that each employee’s unique abilities are valued and utilized. We invite you to consider a career at Daiichi Sankyo, Inc.