Scientist

Our client needs a Scientist with a strong scientific understanding and experience in bioinformatics.

· Experience in pharmaceutical research 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, spatial transcriptomics)

· 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

· Uses 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

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

· 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

· 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

· 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.

Required Skills:

BIOINFORMATICS

BIOSTATISTICS

DATABASES

GENOMICS

LINUX