Bioinformatics Associate II

Job ID: 17-06243
Job date: 2017-07-04
End Date:

Company : Ascent Services Group 

Country :

Role : Other 


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Job Description:
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:

  • 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
QUALIFICATIONS
  • PhD 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.
  • 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


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