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Computational Biology

Ridgefield, CT 06877

Posted: 04/01/2024 Employment Type: Contract Job Category: Scientific Job Number: 592972 Is job remote?: No Country: United States

Job Description


Target PR Range: 35-45/hr
*Depending on experience
As an active team member of the Computational Biology (CompBio) research group, 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 novel 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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