Location: US (ID/WA)

Remote: Preferred

Willing to relocate: Depends on the role. Would like to stay in the PNW if possible.

Technologies:

    * Python (proficient), Bash (proficient), R (intermediate/learning), SQL (intermediate), HTML, JS (learning)
    * Pytorch, Tensorflow, and all the usual suspects (pandas/numpy/scipy/etc.)
    * NGINX, Zabbix, Docker, SLURM, AWS, Ansible
    * Linux systems
    * GROMACS, OpenMM, FoldX, PyRosetta

Résumé/CV: https://barnes.science/jbarnes-resume.pdf

Email: jonathan [at] barnes.science

LinkedIn: https://www.linkedin.com/in/barnesjonathane/

Hi, I'm Jonathan, currently a computational scientist in a postdoctoral fellowship role looking to transition out of academia. My postdoc is unique as rather than working under a single professor on a specific type of research, I operate like a contractor. I work with faculty from various disciplines across campus, applying my skill set to diverse and varied problems. My current work involves more machine learning and applied LLMs with my prior work being molecular modeling focused. I'm adept with Python and Bash, working with both sparse and large datasets, as well as working with an HPC environment. On the side I've hosted server infrastructure for open source projects utilizing bare-metal servers, VPS, and AWS. I also host my own infrastructure as a hobby, from the hardware to the nameservers.

I'm a strong communicator, having collaborated across disciplines and presented work for both technical and non-technical audiences. Having worked at a startup before I’m comfortable wearing many hats (and enjoy the variety). I'm self-motivated and love to dig into new complex problems and learn new tools.

Thank you for your time and consideration.