Scientist III (Bioinformatics)
900 Ridgebury Rd Ridgefield, CT 06877 US
Job Description
- DATA ANALYSIS
- BIOINFORMATICS
- SEQUENCING
- MACHINE LEARNING
- PYTHON
- 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.
- 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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