Senior Clinical Quantitative Scientist – Oncology Data Analytics

Job Overview

Job title: Senior Clinical Quantitative Scientist – Oncology Data Analytics

Company: Bayer

Job description: Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change

Senior Clinical Quantitative Scientist – Oncology Data Analytics

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Senior Clinical Quantitative Scientist – Oncology Data Analytics, are to:

  • Develop and implement sound scientific approaches (modern and innovative methods) and technology to robustly evaluate the safety and benefit-risk profile of Cancer drugs based on data from clinical trials, spontaneous reports and real world in collaboration with clinical, regulatory and other strategic functions
  • Analyze clinical and molecular data from cancer patients to identify new scientific insights

Key Tasks:

  • Define and execute analysis plans to address scientific questions using clinical trial data
  • Develop and implement modern and innovative quantitative methodologies including modeling and simulation to solve complex problems
  • Analyze clinical and molecular data from cancer patients to gain new scientific insights and assist drug development
  • Explore quantitative models and tools to enable data-driven decision making by testing and prototyping
  • Supervise development of quantitative tools to be used across the organization
  • Effectively communicate scientific findings to other clinical operations departments
  • Stay abreast of current and emerging quantitative methodologies and tools and provide assessment and recommendations
  • Lead programming activities to develop and validate exploratory and interactive data analysis packages needed for clinical studies and projects in collaboration with responsible statistician(s)

WHO YOU ARE

Your success will be driven by your demonstrations of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possess the following:

  • MS/PhD in a relevant quantitative discipline (e.g. Statistics, Bioinformatics, Computational Biology, Genomics, or Computer Science) or a degree in Cancer Biology, Immunology, or Molecular Biology combined with significant previous experience with data analysis
  • Min. 2 years of relevant statistical analysis experience in the Pharmaceutical, Biotechnological, Academic, or Research Institutes or similar sector
  • Strong knowledge of applied statistics used to analyze and interpret aggregate clinical data
  • Technical Skills:
  • High technical competency in clinical research setting is required
  • Previous experience creating interactive data displays using statistical and/or visualization software or tools (i.e. SAS, R, Shiny, Python, Spotfire etc.) is required
  • Machine learning, NLP experience and web development (HTML, JavaScript etc.) is a plus
  • Communication & Presentation Skills:
  • Fluency in English is required
  • Capability of working independently and collaboratively
  • Demonstrated ability to prepare training materials such as use-cases, user-manuals, and formal presentations
  • Leadership Skills:
  • Good knowledge of the pharmaceutical industry including the understanding of clinical drug development process and associated documents and regulations
  • Proven problem-solving capabilities to address complex issues independently and as a self-starter
  • Experience in leading teams
  • Preferred: Knowledge of CDISC standards and Oncology experience

#LI-CA

Bayer welcomes and encourages applications from people with disabilities. Candidates participating in our selection process requiring accommodation due to a disability or medical need are encouraged to notify the Bayer representative that they will be meeting with to ensure appropriate arrangements can be made.

Location:

Canada : Ontario : Mississauga

Division:

Pharmaceuticals

Reference Code:

384382

Expected salary:

Location: Mississauga, ON

Job date: Sat, 29 May 2021 04:25:22 GMT

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