Data Library Engineer

5+ years of engineering experience? APPLY HERE

3+ years of engineering experience? APPLY HERE

A little greener but excited to get involved with DSCO? Send me an email

The job:

The Data Science CoLab is seeking a software engineer to help build UCSF's Data Library. This position will entail working as part of a cross-functional engineering team to develop a platform that stores and analyzes cutting-edge biological data from UCSF researchers with the goal of using your skills and the large datasets at UCSF to treat common as well as rare diseases. We are looking for a motivated engineer who is inspired by this mission of finding novel treatments across a variety of diseases and wants to participate actively, as well as enable biologists and clinicians to discover trends and meaning in their data. As we are building a cross-functional team, we are looking for candidates with experience either as back-end, front-end, or full-stack engineers.

In this position you will create architecture to accommodate diverse biological data types from technologies that have not been housed on the same platform. The team will also focus on challenges in visualization of complex data, the integration of multi-modal data, and building an interface that is accessible for biologists.

Who we are:

This position is within the Data Science CoLab. The Data Science CoLab is a collaboration-based research lab that focuses on data analysis and computational methods development. We are passionate about data science training for biologists who want to better engage with their data. In addition we build tools for biologists to store and interact with their data. Our philosophy is that successful data-heavy projects happen by integrating biological understanding and intuition with advanced skills in data science. This can happen by facilitating close collaborations between experimental and computational biologists, as well as by empowering biologists to work with their own data.

Your impact:

you will be building tools that enable cutting-edge biological research and the identification of novel treatments for immune-related diseases and cancer immunotherapy
you will be creating a resource for the UCSF community to better engage with their data

What you bring:

creativity and motivation to build a new platform and interface to house and interact with a diverse set of biological data
experience in either back-end engineering or web development and design
willingness to work in a cross-functional team
experience with biology and biological data is a plus but certainly not required

Why you may want to work with us:

you want to work on something that helps people: this is a tool to use on data from UCSF patients who need better diagnostics and treatments
you're interested in entering biology research or starting a company in biotech: here's your chance to learn biology and the compelling challenges in the field, as well as get to know prominent, well-connected biological researchers and faculty
you want flexible and family-friendly work environment: a chance to do interesting and important work but have the flexibility for your home situation, with a possibility to work remotely
you are excited to help build a lab, essentially an academic start up, helping set the pace for a new wave of biology: we are a new group that's pioneering a new model for academic research that has a focus on data science. We are renovating a new space that enables collaboration and have collaborative projects from many different labs making this an exciting time to jump in.

A unique moment in biological research:

this is an exciting time in immunology: we finally have the technologies needed to generate complex data on the immune system spanning from sequencing, to imaging, to proteomics. At the same time, biology and medicine are realizing the impact of the immune system on a wide range of diseases from cancer, to neurodegeneration, to autoimmune diseases and that there's hope for harnessing the power of the immune system to combat these conditions such as cancer immunotherapy. However there's a big need for tools and analysis skills to really leverage the data from these technologies to go from big data to biological understanding to treatments.
We have substantial support for this project, including campus-wide interest and generous funding.

Want to learn more? Contact Dr. Gabi Fragiadakis at [email protected]