Job summary
Job post source
This job is directly from Stanford University
Job overview
The Data Scientist position at Stanford University focuses on facilitating research in ophthalmology through data analysis and collaboration with various departments.
Responsibilities and impact
Responsibilities include managing and cleaning datasets, analyzing data, developing reports, and collaborating with faculty and research staff on data collection and analysis methods.
Compensation and benefits
The expected salary range for this position is $82,468 to $106,256 annually, with benefits including health insurance and retirement plans.
Experience and skills
Candidates should have a strong background in machine learning, biostatistics, and bioinformatics, along with experience in handling large datasets and real-world health data analysis.
Career development
Opportunities for professional growth include collaboration with leading researchers and involvement in innovative projects within the field of ophthalmology.
Work environment and culture
Stanford University promotes a collaborative work environment, valuing diversity and equal opportunity for all employees.
Company information
Stanford University is a prestigious institution known for its research and academic excellence, particularly in medicine and technology.
Team overview
The candidate will join the Department of Ophthalmology, collaborating with clinicians, trainees, and other statisticians in a supportive team environment.
Job location and travel
The position is based at Stanford University, with some work potentially in laboratory or field settings.
Application process
Candidates are encouraged to apply by submitting their resume and cover letter, with specific deadlines and documentation details provided on the university's careers page.
Unique job features
This role offers unique opportunities to work with diverse data sources and engage in cutting-edge research in ophthalmology.
Company overview
Stanford University is a prestigious private research university located in Stanford, California, known for its academic excellence and significant contributions to innovation and technology. It generates revenue through tuition fees, research grants, endowments, and partnerships with industry leaders. Founded in 1885 by Leland and Jane Stanford in memory of their son, the university has a rich history of fostering entrepreneurship and has been instrumental in the development of Silicon Valley.
How to land this job
Tailor your resume to emphasize your strong background in machine learning, biostatistics, and bioinformatics, as these are crucial for the Data Scientist role at Stanford University.
Highlight your experience with large datasets and your ability to manipulate complex high-dimensional data, showcasing specific projects where you've successfully handled data cleaning and preparation tasks.
Apply through multiple platforms, including Stanford University's corporate site and LinkedIn, to maximize your visibility and chances of being noticed for this position.
Connect with individuals in the ophthalmology or data science divisions at Stanford University on LinkedIn to gather insights about the role; potential ice breakers could include asking about their recent projects or expressing your enthusiasm for their research initiatives.
Optimize your resume for ATS by incorporating relevant keywords from the job description, such as 'data cleaning,' 'machine learning,' and 'bioinformatics,' to increase the likelihood of passing initial screenings.
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