We're tackling aging, one of life's greatest mysteries
biotechnology and scientific research
August 30
🏢 In-office - San Francisco
We're tackling aging, one of life's greatest mysteries
biotechnology and scientific research
• Collaborate with scientists throughout R&D to identify and address key biological questions via creative analysis of high-dimensional datasets and design of high impact experiments • Plan and develop software which makes our scientific data and information accessible to computationally savvy researchers and improves its harmony through the usage of controlled vocabularies and ontologies • Standardize common analyses (e.g., regression and GSEA) to make them robust to diverse use cases and develop advanced algorithms which address key problems in basic research • Communicate clearly and effectively in verbal, visual, and written form to stakeholders with varying levels of technical knowledge
• Ph.D. / MS and four years of work experience in a quantitative field such as Computer Science, Bioinformatics, Computational Biology, Statistics, Biological Sciences, Genomics, or equivalent preparation • Fluency applying R (tidyverse) and/or Python (pandas, sklearn, jupyter) to diverse analytical problems and organizing code into packages • Experience analyzing high-dimensional biological datasets such as bulk and/or single-cell RNAseq, metabolomics, lipidomics, proteomics, microscopy, and/or cell painting • Experience conducting systems biological analyses that integrate ‘omics datasets, molecular pathways, and/or genetic data to generate specific testable hypotheses • Fundamental understanding of statistics and biology • Track record of effective interdisciplinary collaboration and a team-first mentality • Must be willing to work onsite four days a week
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