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Scientist III (Bioinformatics)

Ridgefield, CT 06877

Posted: 04/01/2024 Employment Type: Contract Job Category: Data Sciences Job Number: 603707 Is job remote?: Yes Country: United States

Job Description

Max pay 35-44 depending on experience Required
  • DATA ANALYSIS
  • BIOINFORMATICS
  • SEQUENCING
  • MACHINE LEARNING
  • PYTHON
Additional
  • BIOSTATISTICS
  • IMMUNOLOGY
  • GENOMICS
  • MARKETING ANALYSIS
  • BIOLOGICAL SCIENCE
  • SOPS
  • WRITING PROTOCOLS
  • DEEP LEARNING

Description:
As an active team member of the Computational Biology (CompBio) research group . The successful candidate will contribute to drug discovery efforts through analysis of multiple disease-relevant data sets, as well as development of core informatics pipelines and data organization.
Duties and responsibilities:
  • Strong scientific understanding and experience in bioinformatics analysis of and their implications in disease biology.
  • Apply and develop innovative analysis approaches when standard methods are not adequate.
  • Interpret and present analysis results to coworkers and collaborators.
  • Technical knowledge of Next-Generation Sequencing (NGS) design and data analysis pipelines including CRISPR (preferable) and omics analysis.
  • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field.
  • Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports.
  • Reports and treats data with a high level of integrity and ethics.
  • Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies.
Skills:
  • Programming experience with two or more programming languages including: Python, R for bioinformatics data analysis.
  • Proficiency in working with bulk and single cells NGS data, bioinformatics databases including PPI, CRISPR, Proteomics, or Metabolome.
  • Experience in biological pathways analysis, systems network biology a plus
  • Experience in machine learning, especially deep learning a plus
  • Two years hand on experience of bioinformatics data analysis.
  • Good understand of Cancer Biology, Metabolisms, and Immunology.
  • Ability to develop and benchmark machine learning ml algorithms.
  • Experience in software and/or pipeline development a plus.


Education:
PhD/Master’s degree from an accredited institution with experience in a related scientific discipline (Genomics, Biostatistics, Bioinformatics and Biological Science preferred)

 
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