Master’s degree in Computer Science, Genomics, Biostatistics, or Bioinformatics with 1+ years of experience, or a Bachelor’s degree with 7+ years of experience in a STEM discipline., Strong understanding of bioinformatics in a pharmaceutical research environment., Proficiency in programming languages such as R, Python, and UNIX/Linux., Experience with next-generation sequencing (NGS) analysis and multi-omics data integration..
Key responsabilities:
Design and implement NGS data analysis workflows for therapeutic target identification and biomarker discovery.
Analyze and interpret genomic data sets, including bulk RNA-seq and scRNA-seq.
Automate data processing and results reporting, ensuring high integrity and compliance with regulations.
Communicate analysis results effectively and contribute to technical reports and protocols.
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Advanced Clinical is a clinical development and strategic resourcing organization committed to providing a better clinical experience across the drug development journey. Our goal is to improve the lives of all those touched by clinical research – approaching each opportunity with foresight, character, resilience and innovation. Based on decades of experience, we help our clients achieve better outcomes by conducting candid conversations and anticipating potential issues through our customized solutions. Visit our website to learn more: www.advancedclinical.com.
We are currently searching for a skilled professional to join a well-known client’s team as a Bioinformatics Scientist remotely in the US. The Bioinformatics Scientist candidate will have familiarity with computational biology tools and experience working with computational biologists to solve problems. Their work will have a direct impact on the organization and the larger clinical industry, making this an amazing career opportunity.
Responsibilities
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
Experience & 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.
To Be a Best-fit Your Strengths Must Include
A strong scientific understanding and with experience in bioinformatics in a pharmaceutical research environment.
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.
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.
About Advanced Clinical
Advanced Clinical is an award-winning clinical development organization that provides global services including CRO, Functional Support, Quality & Validation, Patient Recruitment and Retention, and Strategic Talent Acquisition solutions for pharmaceutical, biopharmaceutical, biotechnology, and medical device organizations. Our mission is to deliver a truly better clinical experience for our clients and candidates. To learn more about Advanced Clinical which has been named to Chicago Tribune’s Top Workplaces, Chicago’s Best and Brightest Companies, and Best of Staffing Talent & Client, visit http://www.advancedclinical.com.
Regarding your application
Please know that every completed application is carefully reviewed by the Advanced Clinical recruitment team. We understand the time commitment that is needed to prepare an application, so we respect your effort by thoughtfully reviewing and responding to each application. In return, we ask for your patience as careful review takes time, and we may not be able to respond to every application immediately.
511224
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English
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