Scientist III

Fladger Associates; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Fladger Associates seeks a Scientist III in the Ridgefield, CT area with remote options. You will design and deploy NGS analytics workflows, interpret diverse omics data, and create visualizations to support target discovery in immune diseases.

The role demands strong programming in R/Python, experience with scRNA-seq, ATAC-Seq, and multi-omics integration, and the ability to communicate results across a cross-disciplinary team. Remote work is available within the US.

Qualifications

• Master’s degree in a related scientific discipline with 1+ years of experience OR Bachelor’s degree with 7+ years in STEM.
• Experience with NGS analysis, functional genomics, statistics for big data, or multi-omics data integration.
• Strong knowledge of bioinformatics databases and data formats.
• Deep understanding of computational methods for NGS analysis and public data resources.
• Proficiency in programming in R, Python, Shiny; UNIX/Linux; scripting; cloud computing; visualization tools; and R/Bioconductor packages.
• Proven ability to write well-structured, documented code.
• Ability to collaborate with computational biologists to solve problems.

Responsibilities

• Design and deploy NGS data analysis workflows for data processing, visualization, integration and mining.
• Analyze omics data sets (bulk RNA-seq, scRNA-seq, ATAC-Seq) and interpret results.
• Develop data visualization solutions using R Shiny, D3, and other tools.
• Integrate diverse multi-omics datasets to identify drug targets and immune-disease insights.
• Benchmark methods, perform QC, and apply innovative analysis approaches.
• Present analysis results to coworkers and collaborators; write protocols and reports.
• Automate data processing and reporting; maintain data integrity and SOP compliance.

Skills

Data Analysis

Data Visualization

Data Integration

Data Mining

Automation

Technical communication

Education

Master’s degree in related field

Bachelor’s degree in related STEM field

Tools

R

Python

Shiny

UNIX/Linux

Nextflow

Bioconductor

Job description

Responsibilities

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

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.
• 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