Computational Research Assistant / Scientific Data Curator

DESIRED QUALIFICATIONS:

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

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor’s degree in scientific field and one year of related experience, or combination of relevant experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Solid analytical skills.
• Strong written and oral English communication skills.
• Computer skills, including word processing and spreadsheet applications.
• Ability to understand scientific literature, experimental procedures and their limitations, and current needs of the research community.
• 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.
• Strong communication skills.
• Comfort with a high learning curve and rapidly changing code-base.
• Team player.

CERTIFICATIONS & LICENSES:

None.

PHYSICAL REQUIREMENTS*:

• Frequently perform desk based computer tasks, seated work and use light/ fine grasping.
• Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.

* - 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.

WORKING CONDITIONS:

• May work extended or non-standard hours based on project or business needs. Occasional local travel may be required.
• Some work may be performed in a laboratory setting.

WORK STANDARDS (from JDL):

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.

As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy.