Scientist III
900 Ridgebury Road Ridgefield, CT 06877 US
Job Description
Description:
As an active team member of the Computational Biology (CompBio) research group in Ridgefield, CT. 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.Â
•   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.Â
•   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.Â
•   Proficiency in working with bulk and single cells NGS data, bioinformatics databases including PPI, CRISPR, Proteomics, or Metabolome.Â
•   Experience in biological pathways analysis, systems network biology a plus
•   Experience in machine learning, especially deep learning a plusÂ
•   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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