Research Engineer

🔍 School of Medicine, Stanford, California, United States

📁: Academic

📅   : Jun 28, 2019 Post Date

📅   : 83723 Requisition #

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NECESSARY TECHNICAL QUALIFICATIONS:

Several years of experience designing, training and deploying production scale deep learning models. Extensive expertise with common deep learning frameworks (at least one of the following: TensorFlow, Keras, PyTorch, Torch, Theano).
Thorough knowledge of classical supervised and unsupervised machine learning algorithms (gradient-boosted trees, Random Forest, k-means clustering, support vector machine-based methods, linear and logistic regression, etc.).
Comfortable working with Unix-based systems and SLURM-based compute cluster environments.
Familiarity with standard programming practices (version control with git, modular software design, unit test frameworks such as Snakemake, ReadTheDocs documentation).
Familiarity with Singularity and Docker container deployment and maintenance.
High competence with the Python programming language.
Familiarity with R or similar statistical analysis/ visualization framework.
Comfortable working with SQL and NoSQL databases (MySQL, tileDB, MongoDB, other triplestore and RDF databases).
Strong software engineering skills.

OTHER NECESSARY QUALIFICATIONS:

Strong communication skills
Comfort with a high learning curve and rapidly changing code-base
Team player

PREFERRED QUALIFICATIONS:

HTML
Comfort with web programming/ UI framework such as Javascript, Flask, PHP, Django
Strong writing skills
Familiarity with epigenomics and functional genomics and common tools utilized in the field (i.e. alignment algorithms, variant calling, gene expression analysis, GWAS)

* Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

EDUCATION & EXPERIENCE:

PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related field, or a combination of BS/MS and a minimum of 5 years of experience.

Contact information:

Please direct all applicants to http://stanfordcareers.stanford.edu/.

Affirmative Action statement:

“Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching, and clinical missions.”

Additional Information