Computational Biologist

Computational Biologist

02 Mar 2021
Massachusetts, Boston, 02117 Boston USA

Computational Biologist



Job Description

The candidate will work on data generated from secondary/tertiary analysis pipelines and use AI/ML, probabilistic programming, and other statistical genomics approaches to analyze various large-scale omics data sets to better understand disease etiology, identify novel drug targets, and discover biomarkers for use in precision medicine.


Role & Responsibilities


  • data generated from secondary/tertiary analysis pipelines and use AI/ML,

  • probabilistic programming, and other statistical genomics approaches to analyze various large-scale omics data sets to better understand disease etiology,

  • identify novel drug targets,

  • discover biomarkers for use in precision medicine.



Skills & Qualifications


  • Sc. or Ph.D. in Engineering, Computational Statistics, Computer Science, Biostatistics, Bioinformatics, or related field with a minimum of 2-years of related industry and/or academic experience

  • Experience in machine learning, deep learning, statistical methodology, predictive modeling and algorithm development

  • Minimum of 2 years of industry and/or academic research laboratory management experience

  • Familiar with NGS data analysis, using common bioinformatics tools (BWA, STAR, Picard, GATK etc.), and knowledge of publicly available genomics databases (i.e. ENCODE, GEO, TCGA, CCLA)

  • Advanced programming skills with fluency in at least Python and/or R, with extensive experience using modern machine learning and deep learning libraries (TensorFlow, PyTorch, Edward, sklearn, caret, etc.)

  • Proven ability to design and code production grade machine AI/ML applications, along with a strong ability to visualize 'big data'

  • Ability to work on high-performance computing system and manage cloud computing environments (e.g. AWS) with experience working with GPUs

  • Strong communication and presentation skills with the ability to translate and communicate results to individuals of diverse backgrounds


Perferred Qualifications


  • D. with postdoctoral training in Engineering, Computational Statistics, Computer Science, Biostatistics, Bioinformatics, or another related field with a minimum of 5-years of related industry and/or academic experience

  • Understanding of modern genomics analysis including RNA-seq, single cell RNA-seq, DNA methylation, variant analysis, etc.

  • Development and application of digital pathology and natural language processing algorithms

  • Working knowledge of biology (oncology, immunology, autoimmunity, etc.) and target identification

  • Up-to-date knowledge of the fast-moving AI/ML literature


Benefits


  • Full

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Job Details

  • ID
    JC10490935
  • State
  • City
  • Job type
    Permanent
  • Salary
    USD $0 - $195080 per annum 0 - 195080 per annum
  • Hiring Company
    Jefferson Frank
  • Date
    2021-03-02
  • Deadline
    2021-05-01
  • Category

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