Postdoctoral Position - Bioinformatics or Statistical Genetics @ Merck Sharp & Dohme China | all4bioinformatics
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Thursday, 25 July 2013

Postdoctoral Position - Bioinformatics or Statistical Genetics @ Merck Sharp & Dohme China



Company Name: Merck Sharp & Dohme China 
    Location: Beijing
    
Company Industry: Pharmaceutical & Biological Engineering
    
Company Type: Foreign (European and American)
    
Education: Ph.D.
    
Company size: 501-1000 Staff
    
Salary: Negotiable
    
Published: 2013-07-25Responsibilities:Department: China MRL Informatics & AnalysisReport to: Director Informatics & AnalysisLocation: Beijing, ChinaNo. Of Opening: 1Deadline for application: 15th October, 2013 Merck & Co., Inc., Known as MSD outside North America, is committed to scientific research in China. MSD China R & D is proud to announce the launch of the China Postdoctoral program offering Chinese postdoctoral researchers a new path to the forefront of their research (in the areas of Biostatistics, Bioinformatics, Statistical Genetics and Health / Medical Informatics). The MSD China R & D post-doc will be stationed in the MSD Beijing site and will conduct research with scientists in MSD China R & D Center under the guidance of MSD scientists and joint postdoctoral advisors in Chinese Academia.Our postdocs will: · Obtain a unique experience in pharmaceutical research and development · Participate research projects in drug target discovery · Have an opportunity to work with leading researchers at Merck Research Laboratories · Generate innovative science resulting in high-quality external publications · Participate in seminars , lectures and meetings, and have the opportunity to interact with the scientific community · Be positioned for careers in pharmaceutics, biotechnology, or academiaWe are seeking one talented, motivated scientist with experience in bioinformatics or statistical genetics to join our efforts to further the objectives and reputation of Merck in the area of ​​translational medicine research to drive drug discovery and development.The successful candidate will: · Design computational genomics or genetics research projects by applying genotyping, gene expression or next-generation sequencing technology to inform genetic variation at DNA and RNA molecular level; · Develop and apply algorithms and statistical models to analyze and interpret next- generation sequencing data from in-house studies or public available data sets; · Publish scientific research results.Qualifications: · Ph.D. degree in computational biology or bioinformatics or biostatistics or computer science or related fields. The candidate should have received a Ph.D. or equivalent degree by the time he / she starts his / her post-doc position. · Experience with next-generation sequencing technology and tools for data analysis, such as whole genome sequencing, exome sequencing and transcriptome sequencing. · Experience with GWAS, genotyping, CNV and microarray data analysis · Proficiency in programming languages ​​(Perl, C, C + +) in a Unix / Linux environment. Experience with high-performance Linux cluster is a plus. · A solid background in statistics, including familiarity with mathematics and statistics packages such as MatLab, Bioconductor, or R. · Excellent oral and written communication skills in English . A proven track record of successful scientific accomplishments as demonstrated by a strong publication record.Application processSubmit personal statement, CV and related application materials (such as copies of publications in English or Chinese) to wei.jia3 @ merck.com In the CV, please include at least the following information: name, affiliation, contact information (phone, mobile, email), gender, date of birth, nationality, education and experience, publications and professional activities, names and contact information of 3 recommenders (including the Ph.D. academic advisor)Please arrange 3 letters of recommendation including one from the Ph.D. advisor, directly from the recommenders to wei.jia3 @ merck.com. Application package will be reviewed by a postdoc selection committee consisting of members from MSD China R & D and / or Chinese academia.

 

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