Scientist III

Magnit; Ridgefield (CT); Vor Ort; USD 90.000 - 150.000; Vollzeit

Zusammenfassung

Magnit is seeking a bioinformatics scientist to design and deploy NGS data analysis workflows for immune-relevant disease targets. You will benchmark methods, integrate multi-omics data, and automate reporting to support biomarker discovery. Strong collaboration across teams and adherence to SOPs are essential.

The role emphasizes translating complex data into actionable insights, staying current with methods, and contributing to protocol development in a multidisciplinary setting.

Qualifikationen

• Strong scientific understanding and experience in bioinformatics.
• Experience in pharmaceutical research and immunological diseases is a plus.
• Design, implement and deploy NGS workflows for target identification and biomarker discovery.
• Ability to benchmark methods and perform QC measures.
• Interpret results and communicate findings to peers.

Aufgaben

• Develop and optimize omics data analysis methods and workflows.
• Integrate multi-omics data to identify drug targets and downstream effects.
• Automate processing, reporting, and delivery of results.
• Stay current with literature and best practices in bioinformatics.
• Collaborate across disciplines and present results clearly.
• Adhere to SOPs and data integrity/ethics standards.

Kenntnisse

NGS data analysis

Bioinformatics

Data visualization

Data integration

Multi-omics

Programming

Nextflow

UNIX/Linux

Bioconductor

Cloud computing

Ausbildung

Master's degree in CS/Genomics/Bioinformatics

Bachelor's degree + 7+ years in STEM

Tools

R

Python

Shiny

UNIX/Linux

Nextflow

Bioconductor

Jobbeschreibung

• 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

• 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.