|
Location: Portland, OR Remote: Yes (not required) Willing to relocate: Yes, for the right opportunity. Technologies: - Languages: Python (primary), JavaScript, HTML/CSS, C/C++, R (not preferred). - ML: PyTorch (primary), Tensorflow, Scikit-learn, Jax - Quantum: Pennylane (primary), Qiskit, Cirq, Tensorflow Quantum - Genomics: GATK, samtools, BWA, BioPython, Reactome - Scientific computing: NumPy, SciPy, Pandas, Numba, CUDA, Slurm - Visualization: D3.js (preferred), GSAP, matplotlib, ggplot2 - Web: Knockout.js, Vue, Express, Node.js, Flask, etc. - DevOps: Git, TravisCI, Docker, etc. - Databases: Postgres, MySQL, MongoDB, Neo4J - Cloud: Primarily AWS, Heroku (RIP) Résumé/CV: Upon request Profile: I'm a current senior computational biologist, recent PhD graduate, and previous full-stack web developer. I have extensive experience in quantum machine learning, deep learning, and cancer genomics. My preference is to continue working in the quantum space, however, I'm open to exciting opportunities in the AI and biotechnology spaces, too. |