The ideal candidate has both big picture understanding of personalized medicine and clinical genomics, as well as practical experience with bioinformatic tools used for analysis of clinical Next Generation Sequencing (NGS) data.
You are inspired by the promise of this field, but are aware of and critical to the technological, analytical, ethical and organizational barriers hindering its effective implementation. You bring strategic and systems thinking approaches to the table to enable quality assurance and data sharing in this area.
The successful candidate will be a part of a unique multidisciplinary and international research team with the opportunity of influencing DNV GL’s.
Life Sciences activities including:
Our ideal candidate will possess:
Strong interpersonal skills, positive attitude, is a strategic thinker, enjoys collaboration and ensures a system-wide approach in his/her work, and demonstrates competencies which value respect, performance excellence, and motivation to innovate.
For more information about the position, please contact:
Bobbie Ray-Sannerud, Program Director, DNV GL GTR Life Sciences program, email@example.com
Driven by its purpose of safeguarding life, property and the environment, DNV GL enables organizations to advance the safety and sustainability of their business. We provide classification, certification and technical assurance along with software and independent expert advisory services to customers across a wide range of industries including healthcare, maritime, oil & gas and energy. Operating in more than 100 countries, our 14 000 professionals are dedicated to helping our customers make the world safer, smarter and greener.
DNV GL has formulated a strategic expansion plan to take a leading assurance position in the life sciences sector with a focus on Food & Beverage and Healthcare. As part of this plan DNV GL Group Technology and Research (GTR), is expanding the Life Sciences team.
Specifically, the Life Sciences program is working with leading research and clinical teams to explore how facilitation of data sharing and quality assurance in next generation sequencing (NGS) pipelines can contribute to the implementation of precision medicine.