美国阿斯康利制药公司生物信息学、计算机学博士后职位

2014年04月18日

来源：知识人网整理

摘要：

Job Description

Explore the impact of allele specific expression on oncogene dependency and drug response

Our newly expanded internal pharmaceutical Postdoctoral research program spans multiple therapeutic areas and a wide range of scientific disciplines. We are seeking talented scientists who are interested in pursuing an academic-style Postdoc in a global pharmaceutical setting and contributing to AstraZeneca's commitment to delivering innovative medicines.

Our comprehensive training program includes a focus on drug discovery and development, as well as exposure to existing local and global Postdoctoral Research communities within AstraZeneca. Postdoctoral scientists will have the opportunity to conduct independent cutting-edge work in state-of-the-art laboratories while teaming with other AstraZeneca scientists. Each Postdoctoral scientist will also be able to collaborate with a leading academic advisor who will provide further support and guidance. Additionally, the Postdoc will be encouraged to attend and present at international scientific conferences and publish high-profile papers.

Job Description:

Candidate Focus & Challenge:

• Acquire and analyze next generation sequencing (NGS) data from cancer samples to understand the landscape of allele specific expression of oncogenes and tumor suppressors
• Explore the impact of allele specific expression on oncogene dependency and drug response
• Develop novel algorithms or methods, if necessary, for analyzing NGS data
• Work closely with scientists from across many disciplines while at the same time being able to work independently
• Communicate/present results both within AstraZeneca via global working groups and externally at meetings and through publications
• Publish scientific papers in high impact journals

Candidate Knowledge, Skills & Experience:

• Must have a Ph.D. in bioinformatics, computational, statistical, or a related scientific discipline
• First-hand experience in analyzing next generation sequencing data, particularly in DNA and RNA-seq
• Experience in interpreting NGS and 'omic data
• Hand-on experience in scripting languages such as Perl, Python, or shell script
• Familiar with statistical analysis using R or Matlab for hypothesis testing
• Experience in both Windows and Linux environment
• Strong interpersonal, organizational and communication skills
• A strong scientific track record, as evidenced by published or accepted papers, as well as oral or poster presentation at scientific conferences
• Strong passion & commitment to science, and ability to work well within a group/team environment
• Knowledge of oncology and drug discovery

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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