Scientist III- Bioinformatics (Remote)

eTeam; Ridgefield (CT); Remote; USD 100,000 - 160,000; Part time

Job summary

eTeam seeks a Scientist III (Bioinformatics) on a contract basis in Ridgefield, CT. This role emphasizes designing and deploying NGS data analysis workflows, integrating multi-omics data, and delivering interpretable results to cross-functional teams. Strong programming (R, Python) and visualization skills (Shiny, D3) are essential.

Pharma research experience is a plus. The candidate should have a Master’s in a related field (or a Bachelor’s with 7+ years) and be adept at data interpretation,

Qualifications

• Master's degree in a related scientific field and 1+ years of experience or Bachelor's with 7+ years in a STEM field
• Experience in pharma/biotech research is a plus
• Strong programming and data analysis skills in bioinformatics

Responsibilities

• Design and implement NGS data analysis workflows
• Analyse multi-omics data to identify drug targets
• Develop data visualisation and reporting pipelines
• Collaborate with scientists to interpret results and plan follow-up studies
• Ensure data integrity and compliance with SOPs

Skills

NGS analysis

Functional genomics

Big data statistics

Multi-omics integration

R

Python

Shiny

UNIX/Linux

Nextflow

Bioconductor

Education

Master's degree in Computer Science, Genomics, Biostatistics or Bioinformatics

Bachelor's degree in STEM with 7+ years experience

Tools

R

Python

Shiny

UNIX/Linux

Nextflow

Bioconductor

Job description

• Job Title: Scientist III (Bioinformatics)
• Employment Type: Contract
• Duration: 12 months

• Job Title: Scientist III (Bioinformatics)
• Location: Ridgefield, CT (REMOTE)
• Employment Type: Contract
• Duration: 12 months

Job Description

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

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.