Job:Job:Data Scientist / Bioinformatician / Statistician at University of California San Francisco (UCSF)
Entering edit mode
9 months ago ▴ 10

Location: UCSF Mission Bay (Joan and Sanford I. Weill Neurosciences Building)

Department: Psychiatry and Behavioral Sciences

Hours: Monday - Friday, 9:00 am - 5:00 pm. Hybrid option available.


The laboratory of Matt State at the University of California San Francisco (UCSF) focuses in defining the etiology of childhood neuropsychiatric disorders, with particular interest in autism spectrum disorder, Tourette syndrome, and OCD. We specialize in bioinformatic analysis of high throughput genetic data and in systems biological analyses of multidimensional biological datasets. We generate and analyze whole exome and whole genome sequencing data to identify genes associated with human disorders, such as autism spectrum disorder, Tourette syndrome, and OCD. We then leverage systems approaches, integrating relevant datasets (ex: RNAseq gene expression data from the developing brain), to understand the connection between the identified genes and pathology of the disorder. Hypotheses are tested in model systems, such as neurons derived from human induced pleuripotent stem cells, organized into a 3D model of the developing human cortex (human cortical spheroids).

The Data Scientist / Bioinformatician / Statistician will work with PhD and postdoctoral-level bioinformaticians and wet-lab scientists to further this research and support the computing needs of the laboratory. In particular, the successful applicant will design pipelines and algorithms for data processing and execute these pipelines on large datasets. He/she will also analyze and visualize data, manage the high performance computational environment, and help with code development. There will be many opportunities for creativity and problem solving, as well as independent projects.

While experience in biology, genetics, and/or statistics would be a great asset, we are especially keen to hire an individual who is highly motivated and capable of working both independently and as part of a team.


The UCSF Department of Psychiatry and Behavioral Sciences is among the nation's foremost resources in the field of child, adolescent and adult mental health. Psychiatry faculty members are recognized for their leadership roles in state-of-the-art, comprehensive and compassionate patient care, pioneering research, excellence in training the next generation of leaders, advancing public policy to advance mental health, and commitment to diversity.


  • Bachelor's degree in biological science, computational / programming, or related area AND three (3) years of relevant experience and/or equivalent experience/training. Preferred: MS or PhD in Computer Science/Biological Sciences
  • Strong computational skills and knowledge in programming, statistics, and biology Proficient in the R and Python programming languages (or proficiency in one and a willingness to learn the other). Preferred: experience creating packages in R
  • System administration experience with UNIX/Linux/OSX
  • Experience working with large-scale proteomics and/or other large-scale -omics data (transcriptomics, multiomics) data and placing it in a biological context
  • Application and validation of machine learning methods to complex data
  • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization.
  • Knowledge of genetics, next-generation high-throughput sequencing, data security concepts and methods, Amazon Web Services
  • Team player who is excited to work on collaborative, multidisciplinary projects
  • Ability to communicate technical information in a clear and concise manner.

Click here to apply!

statistician bioinformatics-programmer psychiatry UCSF • 827 views
Entering edit mode
Entering edit mode

The spambot marked your comment as spam by mistake. I've restored it now.


Login before adding your answer.

Traffic: 3496 users visited in the last hour
Help About
Access RSS

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6