The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Research & Data Coordinator (RDC) to join our team. This position will be responsible for implementing study protocols (e.g. data collection and participant engagement) as well as data management (e.g. data processing, cleaning, and quality control). Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. This position is eligible for a remote work agreement and limited travel may be required for convenings and events. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.
ABOUT US
Housed at Stanford Graduate School of Education, the Stanford Accelerator for Learning (SAL) is a research hub that connects experts from the sciences, medicine, engineering, law, and humanities to expedite learning solutions for all learners. The first university-wide initiative to connect Stanford scholars across disciplines with external partners in the field, SAL bridges research, innovation, practice, and policy to achieve true system change. SAL is currently focused on six areas of research that show high need and high promise for transformational change. These areas include digital learning, early childhood education, learning differences, equity in learning, policy and systems change, and adult and workforce learning. The Stanford Center on Early Childhood (SCEC) is an initiative of the Stanford Accelerator for Learning. The SCEC leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is conducted, communicated, and utilized, with the overarching goal that each and every child thrives from the start.
POSITION SUMMARY
The Stanford Center on Early Childhood seeks a full time Research & Data Coordinator (RDC) to work with Professor Philip Fisher and his team on the Continuous Improvement and Rapid Cycle Learning and Evaluation (CIRCLE) team, which delivers high-quality technical assistance and serves as a full evaluator to a wide range of partners across the ECE field – including community-based organizations, governmental agencies, and philanthropic funders – through a collaborative process of rapid cycle research that centers equity and community engagement. CIRCLE’s robust approach to learning and evaluation is based on continuous improvement, with the goal of moving beyond saying whether programs "work” and instead identifying “how,” “what,” and “for whom” the programs are working. This role will work under the oversight of the Director of Learning and Evaluation and collaboratively with the other members of the CIRCLE team to support Research Coordination and Data Management activities for the CIRCLE team.
Your primary responsibilities will include:
- Plan and perform research tasks requiring initiative and judgment by applying basic knowledge and understanding of scientific theory when precedents do not provide specific guidance. General instruction provided by the supervisor as needed. May interpret study results in collaboration with supervisor or PI.
- Participate in the development and administration of survey instruments and protocols requiring judgment in applying non-routine procedures. Analyze and summarize results for review with the supervisor. Audit the accuracy and validity of data.
- Review and audit data forms for completion and accuracy with source documents, and ensure compliance with research protocols.
- Identify, select, extract and summarize data and structured information. Present summary of findings to supervisor.
- Conduct literature searches, and write literature summaries and manuscripts, requiring preliminary judgments after the supervisor outlines conceptual approach.
- Build and organize data as requested by principal investigator or supervisor; use common statistical programs requiring the application of job control language in generating and organizing data.
- Adapt new, nonstandard methods outlined by the supervisor in designing and evaluating phases of research projects, (i.e., educational materials, questionnaires, strategies for recruitment, data quality control procedures and processes). May follow up with the Institutional Review Board (IRB) to ensure renewals are approved and completed, seeking guidance where necessary.
- Assist with development, communication and design of research findings to internal and external audiences, which may include web updates, social media, and/or white papers, for use in recruitment, educational, or awareness of programs, with guidance from supervisor.
- Communicate effectively with community research participants to facilitate recruitment, completion of data collection activities including surveys, focus groups, and interviews, payment processing, and any necessary problem-solving at any stage of the research.
To be successful in this position, you will bring:
MINIMUM REQUIREMENTS:
Education & Experience:
Bachelor of Arts degree in an applicable social science related field, or combination of education and relevant experience in an applicable social science.
Knowledge, Skills And Abilities:
- General understanding of scientific theory and methods, typically gained through completion of an undergraduate degree in a related field.
- General computer skills and ability to quickly learn and master computer programs.
- Ability to work under deadlines with general guidance.
- Excellent organizational skills and demonstrated ability to complete detailed work accurately.
- Effective oral and written communication skills.
- Ability to work with human study participants.
Preferred Education & Experience:
- Familiarity with Qualtrics or other online survey tools.
- Experience using SPSS, R and/or other data management and analysis software to organize and maintain large datasets.
- Demonstrated ability using collaborative tools such as Google Drive, Dropbox, Slack, MS Teams, in an academic and/or professional context.
- Experience interacting with participants including recruitment, scheduling, and collecting data via interview.
This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate.
How to Apply:
- We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, you must submit a cover letter and résumé along with your online application.
- Finalist must successfully complete a background check prior to working at Stanford University.
- This is a fixed-term position with an end date of one year and is renewable based on performance and funding.
- Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.