Senior Research Associate II – Pharmacyclics, LLC – Sunnyvale, CA

Job Description:
Help develop, maintain, and refine bioinformatics workflows and analytical tools for preclinical and clinical biomarker data analysis.

Practical knowledge of bioinformatics tools and resources, experience with next generation sequencing (NGS) data, various high-throughput omics analysis pipeline development, and background in genomics and molecular biology is a plus.

As a member of our bioinformatics group working with other research scientists and clinicians in a highly collaborative and dynamic environment to support biological discoveries, biomarker investigations and translational medicine.

Requirements:

Candidates will need to be highly organized, flexible and motivated. Qualified candidates will have a MS degree plus at least three years of directly relevant experience in Bioinformatics, Computational Biology, Statistical Genetics/Genomics or a related discipline, demonstrated fluency in UNIX/Linux computing (5+ years), a proficiency in R programming (a must), familiarity with OmicSoft ArraySuite, and a scripting language such as Python is a plus (5+ years), a demonstrated ability to work in a fast paced, dynamic work environment, and good oral and written communication skills. The successful candidate will play a key role in the day-to-day, hands-on performance of various high dimensional data oriented tasks. Candidate must be able to work independently and as a teamworker in the group. Keeping detailed written records and good computer programming practice are essential. Prior industry experience is a plus.

Responsibilities:

Working with standard bioinformatics tools, visualization packages, and omics databases/annotations resources.

Automating, refining and implementing the processing and analysis of large data sets (especially for high dimensional integrative omics analyses), including data cleaning and harmonization.

Helping to developing and using bioinformatics pipelines to prepare and analyze data.

Helping in designing, developing, and maintaining databases for scientific and commercial applications.

Analyzing and working with NGS data, ideally whole genome and exome sequence data.

Interpreting and translating data to biological knowledge.

Presentation in internal group meetings.

Education Requirements (degree, certifications, etc.):

MS in Bioinformatics, Computational Biology, Statistical Genetics/Genomics, Computer Science, Statistics/Biostatistics or related field with molecular biology background and/or relevant industry experience preferred.


Requeriments :

Skills :


Additional Info:

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