Scientist III # 26-27484

Job Duties: Strong scientific understanding and experience in bioinformaticsExperience in pharmaceutical research and in Immunological disease a plusDesign, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support Client therapeutic target identification and disease biomarker discoveryData 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, D3Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune diseaseData Mining: Internal, collaborative, and public databases to assist in the characterization of immune diseaseSelect and benchmark methods and tools, define and perform appropriate QC measuresApply and develop innovative analysis approaches when standard methods are not adequateInterpret and present analysis results to coworkers and collaboratorsFollow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the fieldDemonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigationCommunicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reportsAutomate processing and results reporting and deliveryReports and treats data with a high level of integrity and ethicsComplies with applicable regulations; Maintains proper records in accordance with SOPs and policiesSkills: 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 integrationGood knowledge of existing bioinformatics databases and file formatsIn-depth understanding of computational methods for NGS analysis and the usage of public data resources requiredStrong 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 packagesDemonstrated ability to produce well-designed and documented codeFamiliarity with computational biology tools and experience working with computational biologists to solve problemsMust enjoy working in a multi-disciplinary and collaborative environmentAbility to troubleshoot both individually and as part of a teamExcellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent mannerEducation: 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. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. IND01