The Computational Neuroscience Laboratory (cns.stanford.edu) at Stanford University is seeking a Research Data Analyst 1 (2 year fixed term) to clean, process, and analyze neuroscience data (with a focus on brain MRIs). The Analyst will work on streamlining data collection and processing pipelines, which require experience in Python and Linux shell scripting. The Analyst will be responsible for day-to-day management of information workflow, which include administrating REDCap instances, quality controlling data, and communicating data issues to collaborators. Initially, the person is supporting the current system Scalable Informatics for Biomedical Imaging Studies (sibis.sri.com), while exploring ways to ensure future scalability, stability, and integrity of data storage using enhanced informatics tools and secure web-based technologies. The Analyst will need to work within the central computational infrastructure of the lab, which include a common development environment deployed on Linux servers, using web-based issue trackers, documenting procedures and scripts on lab internal wiki pages, creating and deploying unit tests, and submitting scripts to central, version controlled repositories. The ability to handle multiple projects and superior communication skills are central to this role, which include timely and clear responses to inquiries by lab members and collaborators.
Duties include:
- Collect, manage and clean datasets.
- Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
- Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
- Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
- Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
- Analyze data processes in documentation.
- Collaborate with faculty and research staff on data collection and analysis methods.
- Provide documentation based on audit and reporting criteria to investigators and research staff.
- Communicate with government officials, grant agencies and industry representatives.
* - Other duties may also be assigned
DESIRED QUALIFICATIONS:
- Experience with pipeline management toolchain (e.g. CMAKE, Snakemake, Airflow, Kubernetes) and environment/containerization systems (conda, Docker, Singularity).
- Experience in using a HPCC environment is desirable
- At least 1 year experience in programming in Python and shell scripting within UNIX/Linux is required.
- Experience with git.
- Experience with data management systems, such as REDCap (using MySQL) or XNAT (using PostgreSQL).
- Experience using the above languages and working within UNIX/Linux.
- Bachelor’s degree with coursework/work experience in information science, data management, statistics, or associated field as applied to cognitive, clinical, and neuroimaging data, combined with the technical and interpersonal skills required for day-to-day management of information workflow.
EDUCATION & EXPERIENCE (REQUIRED):
- Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Substantial experience with MS Office and analytical programs.
- Strong writing and analytical skills
- Ability to prioritize workload
PHYSICAL REQUIREMENTS*:
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
* - 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:
- Some work may be performed in a laboratory.
WORK STANDARDS:
- 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.
Why Stanford is for You
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy.
Our culture and unique perks empower you with:
Freedom to grow. We offer career development programs, tuition reimbursement, or audit courses. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
Discovery and fun. Stroll through historic sculptures, trails, and museums.
Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources.
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.
