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positions for statisticians and bioinformatics

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发表于 2011-7-22 06:43:20 | 显示全部楼层 |阅读模式
BeiGene is a Chinese life sciences biotechnology company based in Beijing that is focused on discovering and developing innovative oncology drugs that will address unmet medical needs in cancers that are prevalent in China and the Asia-Pacific region.
Our compound portfolio will encompass novel drugs that evolve out of our discovery laboratories in China and those selected from in-licensing partners for their potential to have high impact in the treatment of Chinese and Asian cancers.
To complement our discovery and development capabilities, BeiGene is creating a robust platform in China to enable the identification of specific subsets of patient populations that will identify patients who are most likely to benefit from the use of specific drugs or treatments.  Understanding the link between treatment sensitivity and molecular targets will direct us to develop future drug candidates with greater efficacy and safety.
We are building core excellence in:
  • novel drug discovery in the areas of both small molecules and biologicals
  • translational research with an emphasis on biomarker identification and validation in patients
  • bioinformatics based on human tumor genotyping and expression profiling
  • clinical development
Our unique organization synergistically combines the strengths of:
  • Chinese and Western scientific knowledge and medical practice
  • rigor and robustness from large pharma with biotech entrepreneurialism
  • Chinese and Western start-up culture
BeiGene is headquartered and operates from Beijing, China and has an office in Philadelphia, USA.


We are seeking multiple M.S. level and Ph.D. level self-motivated and talented statisticians, quantitative analysts, bioinformatics analysts, and bioinformatics programming scientists to join our Department of Quantitative Biology (Q-Bio) in support of translational research and drug R&D. The team is responsible to provide quantitative analysis support for novel cancer drug discovery/development, disease and responder/non-responder mechanism characterization, and translation/implementation of candidate biomarkers into clinical development. We are part of a young energetic research organization in a new biotechnology company based at China. It is our goal to build an innovative, collaborative, and effective world-class quantitative analyst team. It is our mission to provide high quality analysis services and strong method/algorithm development capabilities for better understanding of the disease pathways, drug mechanisms, treatment sensitivity at the molecular level, as well as successful clinical implementation of biomarkers.  
Successful candidates will have an exciting opportunity to work in a vibrant research environment, and to develop and contribute in the field of translational medicine for oncology drug development. If you are interested in any of the posted positions, or if you believe you can make a valuable contribution for Beigene, please contact us at hr@beigene.com.

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Sr. Principle Investigator/Distinguished Research Manager
Responsibilities:
To lead and to work with team members on development and implementation of bioinformatics pipeline including database maintenance, programming support, high dimensional data processing, and algorithm implementationTo provide leadership and technical oversight/training for junior team members To manage team effectively and to ensure meeting project timelinesTo establish effective collaborations internally and externallyTo maintain expertise in bioinformatics tools and resources for high-dimensionality datasetsKey player to provide direction for Q-bio quantitative analysis strategiesRequirements
Ph.D. in Bioinformatics, Computer Science, Engineering, Mathematics, or other related fieldsExpertise in computational biology programming skills (e.g., R, Perl, python, Matlab, C++, Java, SQL)5+ years of hands-on experience in programming and data processing development and algorithm implementation for areas such as gene expression analysis, sequence analysis, high-throughput analysis, proteomics, and other related high dimensional data mining. Experience in next generation sequencing platform is highly desired Strong leadership with excellent communicationsSolid biological background. Cancer research related experience in biotech and pharma is highly desiredKnowledge in principles of statistical inference, Bayesian network analysis, and related mathematical modeling is a strong plus
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Sr. Scientists/ Principle Scientists – bioinformatics database management
Responsibilities:
To access and provide summary of public cancer research datasets and literature information To retrieve datasets from various sources and to perform curation and integrationTo perform accuracy and consistency check of databases maintainedTo provide efficient and innovative data organizationRequirements
M.S. in Bioinformatics, Computer Science, Biology, or other computational biology fieldsExperience in bioinformatics data handling such as genomic expression data, genetic sequence data, or other types of high dimensional biological information. Experience in NGS platform is highly desiredKnowledge of bioinformatics workflow management tools is a plusAttention to detail, team player with strong work ethic and excellent communications
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Research Investigator/Sr. Research Investigator – Bioinformatics programming
Responsibilities:
To provide computer programming support and algorithm development/implementation for high dimension data processing, quantitative analysis, database development and management, and related tasksTo develop and deploy efficient bioinformatics workflow pipelineTo provide Linux HPC cluster maintenance supportRequirements
M.S./Ph.D. in Computer Science, Bioinformatics, Engineering, Mathematics, or other related fieldsExpertise in computational biology programming skills (e.g., R, Perl,
Python, Matlab, C++, Java, SQL) . Experience in NGS platform is highly desiredStrong interest in scientific discovery and desire to learnIndependent, attention to detail, team player with strong work ethic and excellent communications
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Sr. Research Investigator/Principle Investigator – Bioinformatics/quantitative analysis
Responsibilities:
Work closely with scientists from other functional groups to design fit-for-purpose experiments and to communicate the use of bioinformatics toolsResponsible for high dimensional data based quantitative analysis support for drug target discovery and validation, pathway network construction and inference, disease and responder/non-responder molecular characterizationPropose analysis plan with scientific integrity and sound statistical principles. Implement appropriate existing bioinformatics tools, as well as to develop and implement innovative algorithms that are fit for the intended scientific questions of interestProvide innovative and effective methods of summary and presentationEstablish effective collaborations internally and externallyRequirements:
Ph.D. in Statistics, Engineering, Mathematics, Bioinformatics or other quantitative fields1 – 5 years of research experience with expertise in areas such as gene expression analysis, sequence analysis, high-throughput analysis, proteomics, or other related high dimensional and large scale data mining and data analysis. Experience in next generation sequencing platform is highly desiredExpertise in R, Matlab or related data analysis tools under Linux environmentClear understandings of false discovery control, machine learning and leading algorithms for high dimension data analysis with strong data management capabilitiesExperience in Bayesian network analysis or related mathematical modeling. Knowledge in kinetic modeling and simulation is a strong plusStrong interests in scientific discovery and desire to learn. Independent, flexible and innovative team player with strong work ethic and excellent communications
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Principle Investigator/Sr. Principle Investigator – Translational statistical analysis
Responsibilities:
Work closely with scientists as lead statistician in support for discovery, pre-clinical, and early clinical analysis needsProvide strategic statistical input on experiment design and analysis plan. Implement fit-for-purpose quantitative modeling and statistical analysis tools for dose effect assessment, optimal dose selection, and general quantitative support.Qualified candidates will supervise junior analystsRequirements:
Master/Ph.D in Statistics, Engineering, Mathematics, or other fields of quantitative scienceHands-on experience in PK/PD modeling and simulation, Bayesian inference methodology. Ability to investigate new statistical methodsAbility to communicate well with scientists and to translate scientific questions into statistical framework. Ability to recognize and pro-actively address statistical issues. Strong interest in scientific discovery and desire to learn novel methods. Cancer research related experience is a strong plus Independent, flexible and innovative team player with strong work ethic and excellent communications
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Sr. Scientists/ Principle Scientists – Data analysis
Responsibilities:

We strongly encourage B.S. and M.S. students/graduates who have solid statistical training, strong quantitative and modeling skills, and hands-on experience in R, who are self-motivated with excellent communication skills to apply for available positions including yearly internship.
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