Senior Scientist, Computational Biology

Job Location
Job Description

Scientific Focus:

  • Application of innovative approaches to identify biomarkers predictive of disease, prognosis, and response to therapy with an emphasis on applications in oncology
  • Design of new machine learning and combinatorial optimization algorithms to improve in-silico assay design processes, particularly in the areas of next-generation sequencing and digital PCR
  • Development of next-generation sequencing analysis pipelines to take advantage of novel library types and capable of integrating across multiple modalities such as RNA, DNA, and epigenetic modifications.

 

Experience and Education:

  • Ph.D. in Bioinformatics, Physics, Mathematics, Statistics, Computer Science or related field

  • Expert in the analysis of NGS, microarray and qPCR data and proficient in accurate data processing, normalization, statistical hypothesis testing and interpretation

  • Capable of conceiving, designing and implementing new algorithms and software solutions to address problems in biomarker discovery, survival analysis and pathway/network modeling

  • Solid development skills in one or more of the following languages: Python, R, Perl, C++. Application of innovative approaches to identify biomarkers predictive of disease, prognosis, and response to therapy with an emphasis on applications in oncology
  • Design of new machine learning and combinatorial optimization algorithms to improve in-silico assay design processes, particularly in the areas of next-generation sequencing and digital PCR
  • Development of next-generation sequencing analysis pipelines to take advantage of novel library types and capable of integrating across multiple modalities such as RNA, DNA, and epigenetic modifications.

 

  • Comfortable with the Linux environment and working with version control systems (ie git, svn)

  • Excellent written and verbal communication skills

Preferable Skills:

  • Working knowledge of molecular biology, molecular genetics, and cancer genomics

  • Knowledgeable of publically available genomic resources and databases.

  • Knowledgeable of cloud computing and experienced with AWS and Hadoop

  • Expertise in machine learning and/or digital signal processing

Geography, Compensation & Benefits:

Southwestern US. with an incredibly competitive comp package and full relocation.

How to Apply

Contact:

Suchita Sood

[email protected]

770-906-0519

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