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Bioinformatics Analyst Three Jobs in Connecticut

Excellent employment opportunity for a Scientist III in the Ridgefield, CT area. * Design ... data analysis, or multi-omics data integration * Good knowledge of existing bioinformatics ...

Scientist III

Ridgefield, CT · On-site

$110 - $170/hr

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 ...

Scientist III

Ridgefield, CT · On-site

$43 - $49.62/hr

Applies basic scientific principles for study design, data analysis, and interpretation; performs ... or Bioinformatics preferred) OR Bachelor's degree from an accredited institution with seven-plus ...

... or Bioinformatics preferred) OR Bachelor's degree from an accredited institution with seven-plus ... Apply basic scientific principles for study design, data analysis, and interpretation. * Perform ...

Bioinformatics Analyst Three information

What does a bioinformatics analyst do?

A bioinformatics analyst interprets biological data using computational tools and statistical methods to support research and development in fields like genomics and molecular biology. They often work with large datasets, utilize programming languages such as Python or R, and may be involved in data visualization and reporting. Strong analytical skills and knowledge of biological concepts are essential for this role.

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Cities in Connecticut with the most Bioinformatics Analyst Three job openings:

Scientist III

Fladger Associates

Ridgefield, CT • On-site

Contractor

Re-posted 13 days ago


Job description

Ridgefield, CT
Contract Duration: 12-24 months
Rate: Negot

Responsibilities:

  • Excellent employment opportunity for a Scientist III in the Ridgefield, CT area.
  • 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

Experience:

  • 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.
  • Strong Scientific understanding and experience in Bioinformatics
  • Experience in Pharmaceutical research a plus
  • 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
  • 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
  • Skills: BIOINFORMATICS, BIOSTATISTICS, DATABASES, GENOMICS, LINUX
  • Additional Skills: PYTHON, SCRIPTING, SHELL SCRIPTING, SHINY, UNIX, UNIX/LINUX, VISUALIZATION, WRITING PROTOCOLS, DATA ANALYSIS, DATA INTEGRATION, DATA MINING, DATA VISUALIZATION, DATASETS, DRUG DISCOVERY, INTEGRATION, INTEGRATOR, MARKETING ANALYSIS, PHARMACEUTICAL RESEARCH, RNA, SEQUENCING, SOPS, STATISTICS, THERAPEUTIC