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上海罗氏创新中心招聘高级计算生物学研究员

上海罗氏创新中心招聘高级计算生物学研究员 X-MOL资讯
2017-04-26
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导读:上海罗氏创新中心招聘高级计算生物学研究员

(Sr.) Scientist - Computational Biologist


Roche Innovation Center Shanghai

China, Shanghai, Shanghai 


Apply now:

http://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-3401955235&locale=en&title=%28Sr.%29+Scientist+-+Computational+Biologist 


Primary Purpose of Job 

As a member of Data Science team in Roche pRED (Pharma Research and Early Development) Informatics, you will partner with research scientists and data experts at Roche Innovation Center Shanghai on drug discovery from the target identification phase all the way to the early development phases. You will employ a combination of analytical capabilities, bioinformatics skills, and disease biology knowledge (especially in the immunology therapeutic area) to provide timely data analysis to impact decision making in drug discovery.


Key responsibility

• Work collaboratively with scientists from Inflammation and Immunology Discovery, Infectious Disease Discovery, Chemical Biology, Medicinal Chemistry, and other scientific functions on drug discovery activities including target identification, target validation, and biomarker discovery, etc.

• Support drug project teams in understanding the roles of a given target in particular diseases.

• Enhance understanding of autoimmune diseases of unmet medical needs and propose new targets.

• Analyse the genetic variants associated with autoimmune diseases, especially those mutations in the non-coding regions.

• Support drug project teams in identifying targets of phenotypic screening hits.

• Support drug project teams in identifying target-specific biomarkers for patient stratification.

• Have the opportunities to apply deep learning to data analysis.

• Team up with bioinformaticians, cheminformaticians, and information scientists in Data Science to propose and deliver integrated informatics solutions to drug projects.

• Collaborate extensively with data scientists and informaticians at other Roche sites to contribute to both local and global drug projects as well as informatics projects.

• Play an important role in shaping the strategy of Data Science in the area of immunomics and supporting its implementation.


Who you are 

You’re someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.


Education/Qualifications

Ph.D. in Computational Biology, Bioinformatics, or a related discipline.

 

Job Required Competencies

• Experience analyzing ChIP-Seq, RNA-seq, Hi-C, and GWAS data.

•Extensive experience in analyzing ENCODE and Roadmap Epigenomics data sets.

• In-depth understanding of the human innate and adaptive immune systems.

• 3+ years of recent experience in applying bioinformatics to studying immunological disorders, preferably autoimmune diseases.

• Experience collaborating with biologists and/or project teams.

• Excellent communication skills in both English and Chinese.

• Strong analytical capabilities, demonstrated by the identification of key biological questions and the application or development of innovative computational solutions.

• Passion for utilizing analytical capabilities and biology knowledge for drug discovery.

• Self-motivated and proactive.


Who we are 

At Roche, 91,700 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.


Roche is an equal opportunity employer. 


Job facts 

• Location: China, Shanghai, Shanghai 

• Function: Research 

• Subfunction: Scientific Information Management / Bio 

• Schedule: Full-time 

• Job level: Manager without Direct Reports 

• Job type: Regular Employee 

• Division: Roche Pharmaceuticals 

• Posted since: 2017/04/18 

• Posted until: 2017/05/19 

• Job-ID: 3401955235 


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