Bioinformatics Associate II

Job ID:
Job date: 2017-07-04
End Date:

Company : BEPC 

Country :

Role : Other 


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Job Description:
Duties:

This position offers the rewarding opportunity to do work that advances personalized medicine and helps patients, and to work in an international team environment that fosters a culture of collaborative scientific investigation and publication. The Bioinformatics Analyst will collaborate with biomarker scientists and other analytical scientists on multiple oncology studies to perform biomarker analyses and visualization. Responsibilities could include:

  • Perform bioinformatics and statistical analysis of biomarker data (including high throughput genomics and transcriptomics data sets) from clinical trial samples in collaboration with oncology biomarker scientists
  • Develop and apply diverse bioinformatics methods for biomarker analyses that utilize innovative molecular and computational technologies
  • Ensure the quality of acquired data and apply advanced statistical methods to determine and mitigate sources of bias and noise in complex datasets
  • Document analytical methods used in individual studies
  • Collaborate with other bioinformatics scientists and biostatisticians to establish and align on best practices, and deliver best-in-class solutions
  • Present analysis results at internal meetings and contribute to publications
Skills:
  • Familiarity working in a Linux computing environment
  • Proficiency in a high-level programming language, such as R, Perl or Python.
  • Demonstrated skills and expertise with industry-standard bioinformatics packages. Experience with Bioconductor is strongly preferred.
  • Applicants with an understanding of concepts in cancer biology, genomics, and immunology, and familiarity with high-throughput sequencing (e.g., whole exome sequencing) and gene expression (e.g., whole transcriptome sequencing) technologies will be prioritized
  • Excellent communication and documentation skills
  • Ability to learn and use new statistical methodology and excellent analytical skills
  • Proven ability to work successfully under pressure
  • Proven planning, organizational, and time management skills
  • Oral and written English fluency
  • Passionate about applying your skills to advance personalized medicine and help patients
Education:

Ph.D. in bioinformatics, computational biology, biostatistics, statistics, systems biology, genetics, genomics or related life science field with significant quantitative research experience. MS degree holders with 3+ years of work experience will be considered.

Required education: Doctorate

Required experience:

  • Programming Language: Python: 3 years
  • Clinical Trial: 3 years
  • Gene Expression: 3 years
  • Programming Language: R: 3 years
  • Bioinformatics Packages (Bioconductor): 3 years
  • Programming Language: Perl: 3 years
  • Linux: 3 years
Required language: English


Requeriments :

Skills :

Areas :


Additional Info:
Duration: 12-Month W2 Contract

Shift: M-F 8a-5p (40hr work week)

Pay Rate: Open

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