RCI-BI-37793921 Scientist Ridgefield, CT (Remote role)

Rangam is recruiting for a Scientist role supporting scientific research and drug discovery. The role develops and applies bioinformatics workflows to analyze, integrate, visualize, and interpret genomic and multi-omics data for therapeutic target identification and disease biomarker discovery.

Responsibilities

• 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

Preferred

• (Computer Science, Genomics, Biostatistics or Bioinformatics preferred)
• Experience in pharmaceutical research and in Immunological disease a plus
• Computer Science
• Genomics
• Biostatistics
• Pharmaceutical Research
• Immunological Disease Experience

Benefits

• Remote position; working 40 hours per week.

Company

• Staffing and employment solutions connecting job seekers and employers
• Somerset, New Jersey, USA
• https://rangam.com/
• Founded in 1995
• 501-1000 employees

Qualifications

• 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
• 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
• (Computer Science, Genomics, Biostatistics or Bioinformatics preferred)
• Experience in pharmaceutical research and in Immunological disease a plus
• 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.

Required skills

• Bash Scripting, Big Data Statistics, Functional Genomics, Multi-Omics Data Integration, Next-Generation Sequencing (NGS) Analysis, Nextflow, Python, R, Shiny, UNIX/Linux

Experience

• 1+ years