The Bioinformatics Innovation Hub is a team of computational scientists working across the three institutes of science at San Diego, San Francisco and Cambridge. As a member of the Bioinformatics team based in the SDI Institute of Science, you will lead the development and application of advanced analytics methods to unravel the molecular mechanisms underlying cellular health and reprogramming. In this role, you will work with diverse types of omics data including bulk/scRNA-Seq, bulk/scATAC-Seq, ChIP-seq, PacBio and nanopore sequencing, and MS-based proteomic and metabolomic data.

The ideal candidate will enjoy working on a wide range of interesting problems, be involved in all aspects of a research project and develop robust computational tools and pipelines for data processing and analysis. The successful candidate will demonstrate rigorous scientific thinking, strong work ethic and the ability to work equally well in a team or independently. They will work closely with a cross-disciplinary team including domain knowledge experts, data generation experts and other computational scientists.

Responsibilities

• Collaborate closely with domain knowledge experts to plan and design studies to elucidate molecular phenotypes of cellular health, rejuvenation and reprogramming
• Perform end-to-end analysis of omics data covering the entire workflow from raw data to read/counts/expression, data normalization and transformation, and statistical and bioinformatic analyses
• Develop workflows for omics data integration using state-of-the-art statistical and bioinformatic methods
• Embed analyses and visualizations in automated reports and communicate results with stakeholders
• Build interactive dashboards for data visualization and exploration
• Partner with other computational scientists to establish automated, robust and efficient analytical pipelines for reproducible research
• Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches

Minimum Qualifications:

• PhD in a quantitative field (e.g. computational biology, mathematics, physics) with significant biological background OR a Life Science degree with significant computational experience
• Extensive knowledge of and experience with NGS and MS analysis tools and methods
• Proficiency in Python and/or R. Hands-on skills using data science packages ( for instance, Pandas, Scikit-learn, NumPy, Tidyverse, Caret).
• Statistical analysis background
• Excellent communication skills. Ability to present complex computational methods to non-experts
• Established ability to translate biologists/project team's scientific questions into analytical strategies and methods
• Strong collaboration skills and ability to work as part of a team in an international and interdisciplinary environment
• Outstanding organizational skills and the ability to work independently

Preferred Qualifications:

• Experience with omics data integration computational methods
• Experience with long read sequencing (Nanopore, PacBio)
• Experience with spatial transcriptomics
• Experience with Mass Spectrometry data analysis

The salary range for San Diego:

• Scientist I: $131,750 - $178,250
• Scientist II: $155,000 - $214,800
• Senior Scientist: $179,000 - $246,000

Exact compensation may vary based on skills, experience, and location.

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Job ID 558

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