Scientist III

job description

ridgefield, ct

contract duration: 12-24 months

rate: negot

• 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

• 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