Bioinformatician

Location
San Francisco, CA
Posted
Jul 10, 2019
Ref
111757397
Required Education
Masters Degree/MBA
Position Type
Full time
Overview

The Gladstone Institutes is an independent, not-for-profit research institution. Its mission is to improve the health and well-being of all people through medical research and education in neuroscience, cardiovascular biology, immunology, and stem cell biology. Home to notable leaders in science and biomedicine, Gladstone comprises four institutes as well as various centers and programs. All of its approximately 500 members are aligned in their mission to carry out or support science that overcomes disease. Located in an award-winning building at the Mission Bay Campus, Gladstone offers a competitive salary and benefits program. It provides an ideal environment for those seeking to maximize and fully leverage their potential. Please consider Gladstone and make a difference in human health.

Responsibilities

The Biofulcrum Initiative at Gladstone/UCSF seeks a Bioinformatician. The candidate will be responsible for collaborating with multiple researchers in the Initiative and participating in the experimental and statistical design of projects, and in the biological interpretation and integration of the resulting complex data sets.

The candidate will be responsible for applying the appropriate algorithms, computational and modeling techniques, and statistical methodologies to analyze and visualize data primarily generated through high-throughput proteomics experiments, genome-wide CRISPR-Cas9 editing, as well as ChIP-seq, ATAC-seq, and single cell RNA-seq experiments. The candidate is expected to create and maintain effective proteomics and genomics databases, perform comprehensive pathway-analysis and develop/maintain web-based tools for disseminating information to collaborators. The candidate will also have the opportunity to develop novel pipelines for analyzing and interpreting proteomics and genomics data, and integrating it with other types of data.

Requirements

Qualifications

Required qualifications:
  • M.S in bioinformatics, statistics, mathematics, computer science or a related discipline
  • 2+ years of relevant research experience in generalized and/or linear mixed models, machine learning algorithms, experimental design, general statistical, and other commonly applied techniques in statistical omics data analysis.


Preferred qualifications:
  • PhD in bioinformatics, statistics, mathematics, computer science or a related discipline together with relevant research experience in generalized and/or linear mixed models, machine learning algorithms, experimental design, general statistical, and other commonly applied techniques in statistical omics data analysis.
  • Understanding of large-scale proteomics and genomics data and placing it in a biological context, as well as experience working with other -omics data such as transcriptomics, lipidomics, and metabolomics.
  • Strong computational skills and prior experience with Unix/Linux and Windows environments, as well as programming, creating applications and packages in R.
  • Skill in relational database design, implementation, optimization, and storage procedures.
  • Experience with programming language preferred such as C/C++, Java, Python, and .NET, and familiarity with data visualization tools and in GUI development.
  • Ability to develop web sites and set up effective sharing of data and analysis tools.
  • Team player able to work in large collaborative projects.

PI111757397