Scientist III

Ridgefield, CT 06877

Posted: 07/25/2019 Industry: Biotech/R&D/Science Job Number: 49311

  • Strong scientific understanding and experience in  bioinformatics 
  • Experience  in pharmaceutical research and in Immunological disease a  plus 
  • Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support novel 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 

  • 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 


  • 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. 

Kaztronix is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, age, religion, disability, veteran status or any other consideration made unlawful by federal, state or local laws.In addition, all human resource actions in such areas as compensation, employee benefits, transfers, layoffs, training and development are to be administered objectively, without regard to race, color, religion, age, sex, national origin, disability, veteran status or any other consideration made unlawful by federal, state or local laws.

Marion Bowden

Send an email reminder to:

Share This Job:

Related Jobs:

Login to save this search and get notified of similar positions.