Job Highlights
Not Disclosed
Remote Job
Entry level
Posted 1 year ago
Job details
Scientist III/IV Remote
COMP BIOLOGY
Duties:
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 Client 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
Additional Skills:
DATASETS
DRUG DISCOVERY
INTEGRATION
INTEGRATOR
MARKETING ANALYSIS
PHARMACEUTICAL RESEARCH
RNA
SEQUENCING
SOPS
STATISTICS
THERAPEUTIC
PYTHON
SCRIPTING
SHELL SCRIPTING
SHINY
UNIX
UNIX/LINUX
VISUALIZATION
WRITING PROTOCOLS
DATA ANALYSIS
DATA INTEGRATION
DATA MINING
DATA VISUALIZATION
COMP BIOLOGY
Duties:
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 Client 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
Additional Skills:
DATASETS
DRUG DISCOVERY
INTEGRATION
INTEGRATOR
MARKETING ANALYSIS
PHARMACEUTICAL RESEARCH
RNA
SEQUENCING
SOPS
STATISTICS
THERAPEUTIC
PYTHON
SCRIPTING
SHELL SCRIPTING
SHINY
UNIX
UNIX/LINUX
VISUALIZATION
WRITING PROTOCOLS
DATA ANALYSIS
DATA INTEGRATION
DATA MINING
DATA VISUALIZATION
Benefits Offered?
- No
Bonus Offered?
- No
Travel Required?
- No
Experience:
- Entry level
Remote Job:
- Yes
Global Experience Needed?
- No
Specialized Experience Needed?
- No
Apply before:
- Apr 18, 2024
Company Overview
Kaztronix LLC
Current Openings: 0
Kaztronix was founded in 2002 with a vision to impact the professional staffing industry by offering the finest talent acquisition services and specialty consulting solutions to small, mid-size and large organizations across multiple industries. Simply put Kaztronix sources and selects the best talent available, providing flexible staffing and recruiting solutions to meet the business objectives of our clients and career aspirations of our candidates. Our primary focus is providing clients, candidates and team members with direction, opportunity for growth and a promising future. These goals, combined with the enduring relationships we nurture, are the foundation for our continued growth and success.
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