The Yang Lab in the UCSF Bakar Aging Research Institute is seeking a bioinformatics research associate to join our group working to understand the molecular basis of human brain aging and neurodegenerative disease.

We recently generated a first single-cell map of the human BBB, finding unexpected links to neurodegenerative disease. We are now generating rich, multimodal single-cell RNA & chromatin accessibility data from a rich set of brain samples and diseases.

We are seeking a motivated bioinformatics research associate to lead single-cell analysis. You will be part of a highly collaborative team and work closely with laboratory scientists and computational collaborators. By applying your computational and analytical skills to multimodal molecular neuroscience data, you will contribute to the generation and testing of hypotheses leading to new biological insights. Our lab is focused on providing a supportive environment for career advancement.

Representative lab works:

• https://www.nature.com/articles/s41586-021-04369-3

• https://www.nature.com/articles/s41586-020-2453-z

• https://www.nature.com/articles/s41586-021-03710-0

• https://www.sciencedirect.com/science/article/pii/S2211124720303181

• https://pubs.acs.org/doi/10.1021/jacs.8b03074

Duties:

• You will lead the implementation, maintenance, and troubleshooting of analytical pipelines for experimental genomics data generated by lab and collaborators.

• Together with other lab members, you will develop data analysis strategies, design algorithms, and deploy computational tools for the analysis of large biological datasets.

• Help implement analysis methodologies into software tools for publication

• Gain experience presenting your work and writing for publication

Requirements:

·  Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Engineering, Physics, Math, Statistics, or a related quantitative discipline.

·  Fast learner, analytical thinker, creative, “hands-on”, team-player.

·  Experience working with genomic data is strongly preferred.

·  Background in statistics and machine learning is preferred.

·  Experience with a scientific computing tool such as R.

·  Strong communication skills.

·  Knowledge of genomics is a plus but is NOT required. Enthusiasm to acquire such knowledge is.

To learn more, visit https://www.yanglab-ucsf.org/

and contact Andrew Yang: andrew.yang@ucsf.edu