Research Data Analyst 1- Onsite/Hybrid Opportunity

Research Data Analyst 1- Onsite/Hybrid OpportunitySchool of Humanities and Sciences, Stanford, California, United StatesNewInformation Analytics1 day ago Post Date107044 Requisition # This position has been deemed critical by the School of Humanities and Sciences Dean’s Office and is exempt from the hiring freeze. The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 24 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university’s largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Department/Program Description: Among the first departments established at Stanford University, the Department of Psychology has a long-standing tradition of ground-breaking theoretical research that also has powerful impact in the real world. The department is ranked as one of the top psychology programs in the nation and has been a leading psychology department among American universities for decades. This extraordinary achievement was honored by the Smithsonian Institution in Washington D.C. in 2003. Position Summary: The Computational Psychology and Well-Being Lab is seeking a research data analyst (RDA) to contribute to research projects that apply computational methods to study clinical psychology, health, and medicine with Professor Johannes Eichstaedt. The RDA will work on applications of natural language processing and machine learning methods, data visualization, and the refinement of a shared Python codebase. They will also participate in lab meetings of the Stanford CPWB lab. The position will require a very self-motivated and collaborative person who is capable of writing code, applying understanding of statistics, linear algebra, and quantitative research methods, defining and solving logical problems for technical applications, and working with large datasets. Must have the ability to work comfortably and effectively within an interdisciplinary research environment (e.g., working across psychology, public health, education, computer science). Past data analysts working in this role have earned co-authorship on top scientific publications and are now enrolled in top PhD programs. This recruitment is for a one (1) year fixed-term, 100% FTE benefits-eligible position which begins on the start date and may be renewable in the future based on funding availability. For consideration, please submit resume and cover letter. All final candidates must successfully complete a background check. CORE DUTIES: ●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. MINIMUM REQUIREMENTS: Education & Experience: 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: ●Experience with R, Python (including Pandas and NumPy), SQL, Git, and Linux shell ●Basic knowledge of software engineering principles. ●Strong writing and analytical skills. ●Ability to prioritize workload. ●Knowledge of and ability to select, adapt, and effectively use a variety of programming methods. ●Ability to recognize and recommend needed changes in user and/or operations procedures. PHYSICAL REQUIREMENTS*: ●Sitting in place at a computer for long periods of time with extensive keyboarding/dexterity. ●Occasionally use a telephone. ●Rarely write 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 the job. WORKING CONDITIONS: ●Some work may be performed in a laboratory setting. 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, http://adminguide.stanford.edu. The expected pay range for this position is $80,148 to $99,773 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 a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships. 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. 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. Ourculture and unique perks empower you with: ● Freedom to grow.

We offer career development programs, tuition reimbursement, or audit a course. 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! Additional Information

Schedule: Full-time Job Code: 4751 Employee Status: Fixed-Term Grade: G Requisition ID: 107044 Work Arrangement : Hybrid Eligible, On Site

Before applying for this role, please read the following information about this opportunity found below. #J-18808-Ljbffr Remote working/work at home options are available for this role.