美国宾州葛兰素史克公司生物信息学博士后职位

Basic qualifications:

• Recent PhD or MD/PhD in bioinformatics / computational science / biomedical engineering/ biological sciences or equivalent research experience.
• Demonstrated skills to programmatically collect, combine, mine and analyze complex biological and clinical data.
• Good verbal and written communication skills and ability to work well with multi-disciplinary teams. 
• Strong interest in publication in peer reviewed journals.

Preferred qualifications:

PhD with 1-2 years experience

Computational experience with Next Generation DNA sequencing data analyses is an advantage.

Details:

• Be part of cutting edge science to advance GSK’s mission ‘to improving the quality of human life by enabling people to do more, feel 
better, and live longer’.
• Accelerate your post-doctoral research with GSK’s extensive R&D engine
• Bridge the gap from target identification to medicine for patients in-need
• Tools
– Technologies
– Libraries
– Samples
• People / Knowledge Base / Training
• Postdoctoral research will be focused on addressing the critical R&D challenges that have been selected as optimal areas of science for post-doctoral training.
By joining us for your post-doctoral training, you will be prepared for a career in industry, academia, or a regulatory organization as well as an opportunity to put yourself at the forefront of science.

• Your Postdoctoral experience will be accompanied by tremendous support at GSK with the opportunity for daily collaborations with world-class scientists. GSK is committed to providing each postdoc with a mentor who will be focused on providing a comprehensive training programme and are expected to nurture skills that will enable postdocs to become independent scientific 
investigators.
• Postdocs are actively encouraged to present their research at internal and external meetings and participate in the GSK R&D postdoc community, which will include scientific and social programming.

1. Perform computational analysis of multiple clinical microbiome datasets from GSK-sponsored or GSK-supported clinical studies within required timelines.

2. Develop signatures based on integration of microbial, viral and human data to identify clinically relevant disease subsets and treatment outcomes.

3. Develop methodologies and analysis pipelines for comparing microbiome profiles across GSK studies as well as integrative analysis of publicly available microbiome datasets.

4. Establish GSK external scientific profile through high-calibre publications in peer-reviewed journals and conference presentations.

• Demonstrate the following GSK expectations: