Job description

21125297 Data Scientist, Ridgefield, CT 12 Months Sigma Systems is currently looking for a Data Scientist. Responsibilities:

  • Strong scientific understanding and experience in bioinformatics
  • Experience in pharmaceutical research a plus Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support Client therapeutic target identification and disease biomarker discovery Data Analysis
  • Implement methods for omics data analysis, and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq) Data Visualization:
  • Fluency in contemporary data visualization methods like R Shiny , D3 Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease
  • Data Mining: Internal, collaborative, and public databases to assist in the characterization of immune disease
  • Select and benchmark methods and tools, define and perform appropriate QC measures
  • 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
  • Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation
  • Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports
  • Automate processing and results reporting and delivery
  • 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

  • Master's degree from an accredited institution with one-plus (1+) years of experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor's degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline.
  • The successful candidate will have experience with more than one of the following; analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration
  • Good knowledge of existing bioinformatics databases and file formats In-depth understanding of computational methods for NGS analysis and the usage of public data resources required
  • Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages
  • Demonstrated ability to produce well-designed and documented code
  • Familiarity with computational biology tools and experience working with computational biologists to solve problems
  • Must enjoy working in a multi-disciplinary and collaborative environment Ability to troubleshoot both individually and as part of a team Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner

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