Bejerano Lab

TL;DR (4/2017)

What backgrounds are we looking for?

  • Machine Learning - Tired of the same benchmarks for your next NIPS paper? Come build real-world game changing tools. Thousands of users guaranteed.
  • Natural Language Processing - Build LSTMs on awesome GPUs and really help real sick kids and their families.
  • Web Developers - Learn to do magic with React.js. Own a research portal with 1,000 users/day today.
  • Genomics - Sure, we'll take those too :)

Who are we looking for?

  • Stanford (only) PhD students and postdoc applications welcome. See below.
  • Stanford (only) undergrads: Minimum entry point: CS core + any Genomics class, please. You need chops to chop.
  • Stanford (only) masters/co-term: Entry point same as undergrads, for units only (no pay). You'll be learning. The Genomics job you get next will pay..
  • No short term visitors (paid or unpaid), no high-schoolers. Sorry. Too small.
  • Staff position - grant writer only, probably.

Get more ownership, exercise more leadership. Heck, you might even learn something... Don't have what we want but really wish you did? Go get it and come back. We're waiting.

What positions are on offer? (Older but still reasonable)

The most exciting work (the most expanding faculty positions, the coolest companies and startups) happens at the interface of different fields. Here's what we're after at this interface:

  1. Solve Stanford patient genomes
    • Computational Genomics
      • Write genomic tools to evaluate patient genomes
      • Automate the process of solving patient genomes
      • Write interactive patient reports for the attending physicians
    • Developmental Biology / Genetics
      • Find the culprit gene/s among patient mutations
      • Design, execute, collaborate or contract experiments to prove patient mutations

  2. Build the largest finest repository of genomic knowledge from free text
    • "Bio-Logician" (*)
      • See Biology as an exercise in logic (genome-gene-complex-pathway-...)
      • Desire to capture this logic using existing ontologies starting with curated relationships
      • Enjoy using Machine Learning tools to populate this world to the extent of current human knowledge

  3. Understand how different primates, mammals, vertebrates are built differently from their code
    • Computational Genomics
      • Use hundreds of vertebrate genomes to postulate what genomic regions are responsible for different human and animal traits
      • Use our genomics knowledge repository to rank your most exciting hypotheses
    • Developmental Biology / Genetics
      • Run your own trait association screens using in house experimentalist-friendly tools
      • Design, execute, collaborate or contract experiments to prove animal variation

  4. Observe the (epi)genome in action, patterning the neocortex - the smartest tissue in your brain
    • Computational Genomics
      • Convert volumes of epigenomic data from three different collaborations into tools and insights on neocortex development
    • Functional Genomics / Neurodevelopment (*)
      • Generate high throughput epigenomic data sets (ATAC-seq, RNA-seq etc) from the developing neocortex
      • Analyze the data using in house experimentalist-friendly tools
      • Execute, collaborate or contract experiments to prove most exciting hypotheses

All positions are open to Stanford students and prospective postdocs. The positions are written along traditional (outdated) educational dividing lines (cs/bio). If you would like to hold the stick from both ends - we will be happy to empower you.

(*) Staff enquiries are welcome for positions marked with an asterisk.


We have strong Stanford collaborations, some with joint lab members, with

How to Proceed?

Prospective Post Docs

Prepare a cover letter stating 1) your background - why should we be interested in you 2) career goals - why are you interested in us 3) use up to a page (figure optional) to describe a potential project you can see yourself doing with us (important).

With your cover letter ready, attach your curriculum vitae and contact information for 3 references, and e-mail Gill. If you are interested in a joint appointment, mention it.

Staff Positions

Feel free to check us out for staff openings. Prepare a cover letter stating 1) your qualifications - why should we be interested in you 2) career goals - why are you interested in us 3) what type of work you see yourself doing for us.

With your cover letter ready, attach your curriculum vitae and contact information for one or more references, and e-mail Gill.

Stanford Students

Check out Gill's classes and open office hours.

Stanford Graduate and Medical Students

We welcome all Stanford computational, experimental or medical students (any program) to approach us for introductions. Just e-mail Gill.

Stanford Undergraduate, Co-Term and Masters Students

We offer excellent training positions to current Stanford computational and experimental undergraduate, co-term, and masters students. If you have worked in an academic setting before, please add reference contact information when writing Gill.


For the categories below your best bet at approaching us is to have someone Gill knows, or knows by reputation, write him on your behalf.

Transitioning Into Genomics

We typically cannot accept postdoc and visiting scientist applications from researchers interested in transitioning into Genomics from unrelated fields, even when the candidate can provide their own funding.

Prospective Stanford Graduate Students

Unfortunately, we cannot help with Stanford graduate studies admissions. Please see admissions information for the Biosciences program and the Computer Science department. We are happy to discuss rotations once you have been admitted to a Stanford program.


We do not offer internships for those not already enrolled at Stanford.

      [last modified 2017/05/29 14:12] Bejerano LabDepartments of Computer Science, Developmental Biology and PediatricsStanford University