Senior Bioinformatics Analyst

Job description

Envisagenics is an RNA therapeutics company located at the Alexandria Center in Long Island City, New York. The company uses Artificial Intelligence and RNA-seq to help find cures to diseases caused by RNA splicing errors. This role will be a part of Envisagenics’ Target Discovery team but will also require close collaboration with Envisagenics’ Biology Team.

This role calls for a highly analytical, scientific and innovation-driven Senior Bioinformatics Analyst to participate in and improve drug target validation. You will attend weekly lab meetings with the Biology Team to track the status of target validations, help plan assays from the bioinformatics perspective, identify bottlenecks that can be alievated with computational tools and present the results of bioinformatics analyses on internally-generated lab data. You will work with a multidisciplinary group that combines software engineers, data scientists, computational biologists, and biologists.

A great candidate is one who is passionate about advancing the speed and quality of drug target validations to cure yet-incurable diseases. That great candidate will have post-academic experience with bulk and single-cell RNA-seq data analysis, multiomics data analysis including but not limited to genomics, eCLip, Riboseq, etc., statistics, and bioinformatics software implementation with a strong emphasis on biological interpretation and problem solving. That great candidate will be excited about developing analytical approaches, hypothesis driven data interrogation methodology, and creative communication of results for the validation of therapeutic targets to make fundamental contributions to Envisagenics’ understanding of disease biology and therapy.

Compensation will vary based on how many years of post-academic work experience you have and other factors. ALL EMPLOYMENT OFFERS WILL COME WITH STOCK OPTIONS IN A GROWTH MODE BIOTECH STARTUP!

Responsibilities

• RNA-seq analysis, biological interpretation and disease gene prioritization.
• Conduct objective evaluation and comparison of bioinformatics tools.
• Work collaboratively with both the Target Discovery and Biology teams to keep target validation on track and prioritize requests for computational analyses or tool implementation.
• Apply statistical data analysis to support assay development experiments and guide experimental approaches.
• Implement new analysis methods in the pipelines based on R&D prototypes.
• Automate reporting of pipeline results for R&D experiments.
• Present results to internal teams, clients and/or at scientific conferences.

 Skills & Qualifications

• MS in Computational Biology or Bioinformatics with 3-5  years of post-grad experience
• Solid understanding of basic statistical analyses
• Strong programming with R and/or Python and bash
• Experience with building/supporting/using bioinformatics pipelines
• Experience with analyzing genomic and transcriptomic sequencing data—CLIP-seq, bulk and single-cell RNA-seq, Riboseq, spatial transcriptomics etc., 
• Familiarity with genome browser tools and bioinformatics databases – UCSC, IGV, NCBI, cBioPortal, dbGaP
• Experience with statistical and mathematical modeling with genomic data
• Experience with network analysis and visualization
• Understanding of basic molecular biology assays: PCR, qPCR, Western blot, ELISA
• Ability to work in Agile environment
• Strong proficiency in data cleaning, manipulation and visualization
• Experience with Github
• Must be independent and strategically minded, team-oriented
• Must have strong attention to detail
• Must have excellent written, communication and presentation skills

Preferred

• Experience with SQL, SparkSQL and/or PySpark
• Experience with Microsoft Azure (or Amazon AWS)
• Experience with C , perl, or other scripting languages
• Experience with Machine Learning, Bayesian statistics, clustering/classification, multivariate analysis

115-120K