Job Description

Duties:    

• 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, spatial RNA-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:    
  Required Skills:
  
  • The ideal candidate will have a strong scientific understanding and with experience in bioinformatics in a pharmaceutical research environment.
  • 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 and familiarity with code repositories such as GitHub.
  Desired skills:
  
  • Experience in accessing LLMs through APIs, such as the OpenAI API or LangChain a plus.
  • Experience with web app development - specifically Streamlit or Shiny.
  • Finally, the ideal candidate will have 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.
  Pay Rate Range: $40-55/hr depending on experience 

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