Research Technology Consultant **Doerr School of Sustainability, Stanford, California, United States** **New** Information Technology Services Post Date 1 day ago Requisition # 105837 **This position is based on Stanford’s main campus with consideration given to the option for a hybrid work schedule (partially onsite and offsite), subject to operational need. Interested candidates must include a resume and cover letter to be considered for this position.** Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa. **About Us** The Stanford Doerr School of Sustainability strives to create a future when humans and nature thrive in concert and in perpetuity. The school is made up of a three-part structure to drive global impact: Our academic departments and programs educate students and create new knowledge across areas of research that are crucial for advancing the long-term prosperity of the planet and people; Institutes bridge scholarship at Stanford and beyond, bringing multiple viewpoints to bear on urgent challenges; The Sustainability Accelerator drives new policy and technology solutions through a worldwide network of partners who work with our teams to develop solutions at a global scale. The school is dedicated to creating and supporting a diverse, equitable, and inclusive environment, and to creating solutions that benefit all people, particularly those most affected by environmental damage and climate change. For more information on the school, clickhere. The Stanford Doerr School of Sustainability Research Computing Team members provide technology resources and consultative support for our faculty and research community members. Team members closely collaborate with our researchers to understand current and future technology requirements and design and deliver solutions and support services that align and scale with these needs. The Stanford Doerr School of Sustainability is hiring a full-time Research Technology Consultant to join our team. The focus of this role will be to work directly with our faculty and their respective research team members in a technical and consultative capacity to assist them with their computational research. Your Responsibilities will include: + Work as a key member of our research computing team supporting the school’s growing research community. + Work productively and independently with faculty (Principal Investigators) and members of their respective research teams to understand their current and future research needs and align research workloads with appropriate technology resources. + Provide leadership and expert consultation to researchers regarding technical requirements and capabilities in optimizing their use of technology including on-campus and cloud-based resources. + Lead the development of resources, seminars, courses, or workshops to disseminate information about uses of technology. Lead educational workshops for researchers on various topics such as Machine Learning, use of code repositories etc. + Develop documentation and instructional materials on efficient use of job scheduling and submission parameters, use of software compilers and code stacks, data management strategies etc. + Familiarize new faculty and research team members with the school’s portfolio of technology resources and provide on-boarding instruction and assistance. + Consult with faculty and researchers on data repositories and resources, guiding them in selecting and utilizing appropriate options for their research needs. + Liaise with colleagues in other university schools and departments and 3rd party solution providers to share best practices and emerging trends in the application of research computing technology. May lead complex academic research technology projects with wide impact at the university. * _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ **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 acontact 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._ Additional Information + **Schedule: Full-time** + **Job Code: 4723** + **Employee Status: Regular** + **Grade: J** + **Requisition ID: 105837** + **Work Arrangement : Hybrid Eligible**