Ridgefield CT
Contract Duration: 1236 months
Rate: Negotiable
Responsibilities:
- Excellent employment opportunity for a Scientist III/IV in the Ridgefield CT area. (Fully Remote)
- 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 RNAseq scRNAseq ATACSeq spatial transcriptomics)
- Data Visualization: Fluency in contemporary data visualization methods like R Shiny D3
- Data Integration: Analyzing diverse datasets (multiomics) 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 followup 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
Experience:
- Masters Degree from an accredited institution with oneplus (1) years of experience in a related Scientific discipline (Computer Science Genomics Biostatistics or Bioinformatics preferred) OR Bachelors degree from an accredited institution with sevenplus (7) years of experience in a STEM discipline.
- The successful candidate will have experience with more than one of the following: analyzing nextgeneration sequencing (NGS) functional genomics statistics for big data analysis or multiomics data integration
- Strong Scientific understanding and experience in Bioinformatics
- Experience in Pharmaceutical Research a plus
- Strong handson 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
- Indepth understanding of computational methods for NGS analysis and the usage of public data resources required
- Demonstrated ability to produce welldesigned and documented code
- Familiarity with computational biology tools and experience working with computational biologists to solve problems
- Must enjoy working in a multidisciplinary 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
- 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