Scientist III

System One Clinical & Science

Ridgefield (CT)

Presencial

USD 56.000 - 64.000

Jornada completa

hace 23 horas
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Descripción de la vacante

System One is seeking a Computational Scientist in Ridgefield, CT for a 12-month contract. The role focuses on developing and deploying NGS data analysis workflows, integrating multi-omics data, and delivering actionable insights for immunological disease targets and biomarkers.

The candidate should have strong bioinformatics experience, hands-on data analysis skills, and the ability to communicate results to collaborators. Onsite work with a 40-hour week is required.

Formación

  • Master’s degree in a related scientific discipline with at least 1 year of experience OR a Bachelor’s degree with 7+ years in STEM.
  • Experience with NGS data analysis, functional genomics, statistics for big data, or multi-omics data integration is preferred.
  • Good knowledge of bioinformatics databases and file formats.
  • Strong hands-on skills in programming languages (R, Python, Shiny), UNIX/Linux, shell scripting, Nextflow.
  • Familiarity with computational biology tools and collaboration with computational biologists.
  • Excellent written and oral communication; able to work in a multidisciplinary team.

Responsabilidades

  • Design, implement and deploy NGS data analysis workflows for data processing, visualization, integration and mining to support target discovery and biomarker work.
  • Perform data analysis across omics datasets (bulk RNA-seq, scRNA-seq, ATAC-Seq) and interpret results.
  • Create and benchmark methods; define QC measures and report results.
  • Automate processing and reporting; document code and processes; ensure data integrity and ethics.

Conocimientos

Bioinformatics
NGS data analysis
R
Python
Shiny
UNIX/Linux
Nextflow
Data visualization

Educación

Master’s degree in a related field
Bachelor’s degree in STEM

Herramientas

R
Python
Shiny
Nextflow
UNIX/Linux

Descripción del empleo

Job Title: Computational Scientist
Location: Ridgefield, Connecticut
Type: 12 month contract
Compensation: $41-$46.66/hr
Work Model: Onsite
Hours: 40.0

Responsibilities:

  • 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

Job Title: Computational Scientist
Location: Ridgefield, Connecticut
Type: 12 month contract
Compensation: $41-$46.66/hr
Work Model: Onsite
Hours: 40.0

Responsibilities:

  • 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
Requirements:
  • 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

System One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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