To be successful in this position, you will need:

• An advanced degree plus seven years of relevant experience, or combination of education and relevant experience.
• Ability to quickly adopt new technologies and programming tools.
• Strong understanding of data design, architecture, relational databases and data modeling.
• Demonstrated experience in designing applications or tools; thorough understanding of software development life cycle and quality control practices; demonstrated experience with object-oriented programming, scripting, and/or relational databases.
• Ability to define and solve logical problems for highly technical applications.
• Outstanding communication skills with both technical and non-technical clients.
• Demonstrated experience leading activities on structured team development projects
• Ability to recognize and recommend necessary changes in user and/or operations procedures.
• Ability to interact effectively and tactfully with members of the academic community; demonstrated experience working in an environment with colleagues of diverse backgrounds and customs.
• Demonstrated expertise with instructional design methodologies, pedagogical issues, and best practices for classroom, online, and hybrid learning.
• Excellent time management and project management skills. Demonstrated ability to manage a complex workload, prioritize tasks, and use good judgment in providing services based on goals.
• Excellent leadership skills.

In addition, our preferred requirements include:

• Familiarity in the research process and publication process.
• High-Performance Computing Experience with parallel programming models such as MPI, OpenMP, and job scheduling systems such as SLURM.
• Programming & Scripting Proficiency in at least one scripting language such as Python, Bash, Perl, R and MATLAB
• Ability to assess computational workloads and profile code to identify performance bottlenecks and improve efficiency.
• Experience with File Systems and Scientific Data Formats such as HDF5, NetCDF, GeoTIFF etc.
• Advanced oral and written communication skills critical for explaining complex technical concepts to researchers with varying levels of technical expertise. This includes active listening and appropriately tailoring explanations to the audience.
• Machine Learning/AI: Experience with machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model training.
• Operating Systems and Networking: A solid understanding of Linux/Unix systems administration, networking concepts and security best practices.
• Experience in creating and using containers such as Docker, Singularity or other UNIX container systems
• Curiosity & Continuous Learning: The field of research computing is constantly evolving, so a strong desire to learn and adapt is crucial
• Knowledge of Stanford University systems and policies

* Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.

The expected pay range for this position is $114,125, to $150,000 per annum.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

How to Apply

We invite you to apply for this position by clicking on the "Apply for Job" button.

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.