Scientist III # 26-27484

US Tech Solutions; Ridgefield (CT); On-site; USD 90,000 - 130,000; Full time

Job summary

US Tech Solutions is seeking a bioinformatics scientist to design and deploy NGS data analysis workflows, integrate multi-omics data, and translate results for collaboration with pharmacology teams.

Responsibilities include developing data visualization tools, interpreting complex genomic datasets, and ensuring data integrity while collaborating with a multidisciplinary team on a 12‑month contract in the United States.

Qualifications

• Master’s degree with 1+ years experience in related field OR Bachelor’s with 7+ years in STEM
• Experience in bioinformatics and NGS analysis workflows preferred
• Familiarity with public genomic data resources and QC methods

Responsibilities

• Design and deploy NGS data analysis workflows for data processing and mining
• Analyze omics datasets (bulk RNA-seq, single-cell) for target identification
• Develop data visualization dashboards and reports for collaborators
• Ensure data integrity and compliance with SOPs and regulatory guidelines
• Collaborate with scientists to interpret results and propose follow-up experiments

Skills

NGS data analysis

Multi-omics data integration

R/Python/Shiny

UNIX/Linux

Nextflow

Data visualization

Communication

Education

Master’s degree in a related field

Bachelor’s degree with 7+ years in STEM

Tools

R

Python

Shiny

Job description

Duration: 12 Months Contract (Extension Possible)

Job Duties

• 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 Client 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

Skills

• 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

Education

• 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.

About US Tech Solutions

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement

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