Scientist III
1 month ago
Responsibilities:
- Excellent employment opportunity for a Scientist III in the Ridgefield, CT area.
- 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)
- 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:
- 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.
- Strong Scientific understanding and experience in Bioinformatics
- Experience in Pharmaceutical research a plus
- 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
- Familiarity with computational biology tools and experience working with computational biologists to solve problems
- 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
- Skills: BIOINFORMATICS, BIOSTATISTICS, DATABASES, GENOMICS, LINUX
- Additional Skills: PYTHON, SCRIPTING, SHELL SCRIPTING, SHINY, UNIX, UNIX/LINUX, VISUALIZATION, WRITING PROTOCOLS, DATA ANALYSIS, DATA INTEGRATION, DATA MINING, DATA VISUALIZATION, DATASETS, DRUG DISCOVERY, INTEGRATION, INTEGRATOR, MARKETING ANALYSIS, PHARMACEUTICAL RESEARCH, RNA, SEQUENCING, SOPS, STATISTICS, THERAPEUTIC
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