Scientist III

Ridgefield, CT

Posted: 03/22/2024 Industry: Scientific Job Number: 24-00142

Job Description

Scientist III

Description:
As an active team member of the Computational Biology (CompBio) research group at
US research facility 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
Design, implement and/or deploy huge molecular data analysis workflows for data processing,
integration and mining to support Client therapeutic target identification and disease biomarker
discovery
Experience in single cell and spatial genomics data analysis
Experience in biological pathways, data visualization, network and systems biology (GSEA, GeneGO,
CBDD, Cytoscape, Reactome) a plus
Experience in pharmaceutical research a plus
Experience in machine learning, especially deep learning a plus
Apply and develop innovative analysis approaches when standard methods are not adequate
Interpret and present analysis results to coworkers and collaborators
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, C/C++, Java, or MATLAB
Two years hand on experience of bioinformatics data analysis
Good understand of disease biology
Basic understand of immunology
Ability to develop machine learning models
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 (Computer Science, Genomics, Biostatistics or Bioinformatics preferred)

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