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.
The laboratory of Deepak Srivastava at the Gladstone Institute of Cardiovascular Disease is seeking a skilled Bioinformatician at either junior or senior level. The Srivastava lab uses cutting edge transcriptomics, epigenomics and proteomics technologies to investigate the molecular events regulating developmental decisions underlying cardiogenesis and cardiovascular disease. https://gladstone.org/u/dsrivastava/SrivastavaLab.htm
The Bioinformatician will work closely with experimental scientists in the Srivastava laboratory, in order to provide bioinformatics and computational support on a variety of projects. The candidate will be working with a variety of data types generated by various platforms and technologies, the majority of which being NGS based, such RNA-seq, ChIP-seq, ATAC-seq, CRISPR screens, and single cell RNA- and ATAC-seq. Expertise and knowledge of NGS libraries, sequencing platforms and analysis methods is thus a plus. Candidate will identify, evaluate and implement new analysis methods, pipelines and tools, and will have opportunities for authorships, as well as further training to develop expertise and skill sets. Work will involve several projects with different experimental scientists and the candidate must therefore be able to effectively multitask, manage time, document and communicate on code and results.
- M.S. in Computational Biology, Bioinformatics or related field and 2+ years working experience.
- PhD in Computational Biology, Bioinformatics or related field.
- Programming skills (R is strongly preferred, Python, C, C++ are nice to have) and experience in using a computing cluster is a plus.
- Statistical knowledge and skills would be preferable.
- Experience with processing and analysis of NGS datasets is strongly preferred.
- Ability to identify and implement new tools and pipelines for data analysis.
- Biology background required. Specific knowledge in developmental biology, genetics, or gene regulation would be advantageous.
- Demonstrated ability to document and communicate analyses and results effectively.
- Excellent teamwork, organizational, communication and time-management skills.
- Ability to multitask and prioritize efficiently.
- A 'getting things done' mentality, pro-active, enthusiastic, and goal orientated with a strong ability to work independently.
Title and salary will be commensurate with education and experience.