Scientist III

Spectraforce Technologies; Raleigh (NC); Remote; USD 95,000 - 130,000; Full time

Job summary

Spectraforce Technologies, Inc. is seeking a Scientist III to lead designing and deploying NGS data analysis workflows for target discovery and biomarker research. The role supports multi-omics integration and data visualization in a remote, year-long assignment.

The candidate will have strong bioinformatics background, experience with omics data, and hands-on skills in R, Python, UNIX/Linux, and Nextflow. Excellent collaboration and communication are essential.

Qualifications

• Experience with NGS, functional genomics or multi-omics data integration.
• Strong knowledge of bioinformatics databases and file formats.
• Deep understanding of computational methods for NGS analysis and public data resources.
• Hands-on programming in R, Python, Shiny; UNIX/Linux; scripting; Nextflow.
• Ability to produce well-designed, documented code.
• Experience collaborating with computational biologists in multi-disciplinary teams.
• Excellent communication skills in writing and speaking.

Responsibilities

• Design, implement and deploy NGS data analysis workflows for target discovery.
• Analyze omics data (bulk RNA-seq, scRNA-seq, ATAC-Seq) and interpret results.
• Develop data visualizations using R Shiny, D3, etc.
• Integrate diverse datasets to identify drug targets and biological insights.
• Benchmark methods, perform QC, and automate reporting.
• Collaborate across teams and communicate findings clearly.
• Stay current with literature and apply innovative approaches.

Skills

Bioinformatics

NGS 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 in STEM

Tools

R/Bioconductor

Python

Nextflow

UNIX/bash

Cloud computing

Shiny

Job description

Position Title: Scientist III

Assignment Duration: 12 Months

Work Arrangement: Remote

Key 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

Qualification & Experience:

• 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
• 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.