Bioinformatics Scientist

Envisagenics

New York City, NY, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 01/22/2021
  • Website: envisagenics.com
  • Company Address: 101 6th Ave., Fl. 3, New York, NY, 10013

About Envisagenics

Developer of a bio-data analysis platform designed to reduce the complexity of RNA-seq data. The company's platform focuses on the discovery of RNA therapeutics and helps in extracting biologically relevant RNA isoforms, enabling scientists to treat diseases caused by RNA splicing.

Job Description

About
Envisagenics is a bioinformatics startup developing cloud-based solutions to leverage biomedical big data and accelerate R&D therapeutics through machine learning. Envisagenics is a spin-off from Cold Spring Harbor Laboratory, a biomedical research institute ranked #1 worldwide for scientific impact in the field of genetics. Envisagenics’ core technology was used for the development of Nusinersen, the first ever drug to treat children with Spinal Muscular Atrophy, recently approved by FDA. The mission of Envisagenics is to materially advance the world’s ability to cure diseases, discovering new and more efficient drug targets through the analysis and integration of genomic data alongside our pharma partners.

Job Description:
We are looking for a highly creative and innovation-driven Bioinformatics Scientist to lead software R&D at Envisagenics. Envisagenics is a highly multidisciplinary group combining software engineers, UX designers, computational biologists and pharma partners. We look for team players eager to integrate a founding team whose vision is finding better drug targets to cure yet incurable diseases using biological Big Data. We are looking for experts in machine learning, Genomics, RNA-seq and/or biological data interpretation. Candidates will be responsible for developing analytical approaches, hypothesis-driven data interrogation and application of predictive models for the identification of therapeutic targets to make fundamental contributions to understanding disease biology and therapy.

Responsibilities
• Development of algorithms and machine learning applications for RNA-seq analysis, biological interpretation and disease gene prioritization.
• Conduct objective evaluation and comparison of bioinformatics tools.
• Work collaboratively with other team members to implement QC assessment and standardized analysis protocols for each of the projects as appropriate.
• 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.
• Writing of scientific manuscripts and patent applications.

Requirements:
• PhD in Computational Biology
• Must be independent and strategically minded, team-oriented
• Must have proficient written, communication and presentation skills
• Ability to work in an Agile environment
• Strong programming with R/Bioconductor and python
• Experience with building / supporting / using bioinformatics pipelines
• Experience with C++, perl / python or other scripting languages
• Experience with statistical and mathematical modeling with genomic data
• Experience with genomic analysis of sequencing data – CLIP-Seq, RNA-Seq.
• Experience with machine learning, Bayesian statistics, clustering/classification, multivariate analysis
• Experience with network analysis and visualization

Desired Skills:
• Experience with cloud services such as Google Cloud, Microsoft Azure or Amazon AWS
• Experience with SQL and MySQL

If your are a team player and eager to join the Envisagenics founding team, whose vision is finding better drug targets to cure yet incurable diseases using biological Big Data, please contact:
Tiffany Tsui.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.