Data Scientist II

Job not on LinkedIn

🔥 0 minutes ago

đź’µ $92.2k / year

⏰ Full Time

🟡 Mid-level

đźź  Senior

📊 Data Scientist

Where this job comes from

Posted on University of Wisconsin-Madison's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of University of Wisconsin-Madison

University of Wisconsin-Madison

10,000+ employees

📚 Education

🏛️ Government

Education • Government

University of Wisconsin-Madison is a public research university and flagship campus of the University of Wisconsin System located in Madison, WI. It is one of the largest research institutions in the United States, investing more than $1 billion annually in research across the humanities, sciences, and applied fields, and emphasizes public service through the long-standing “Wisconsin Idea. ” The university offers undergraduate and graduate programs, community outreach, and extensive campus resources and athletics, while promoting diversity, inclusive excellence, and community engagement.

đź“‹ Description

• Develop, design, organize, and conduct research projects under the supervision of Dr. O'Connor and senior scientists • Contribute predominantly to the Lungfish project advancing environmental pathogen monitoring with virus metagenomic sequencing • Develop robust, reproducible data analysis workflows using Nextflow or Snakemake • Deploy workflows across local servers, UW-Madison CHTC HTC and HPC resources, and commercial on-demand cloud computing clusters • Document and publicly disseminate analysis tools through GitHub • Use AI-assisted technologies for data exploration, analysis, visualization, and reporting • Mentor and advise students and staff on computational analysis of genomic data • Present and publish genomic data • Compose reproducible workflows and reports to articulate patterns to researchers and administrators • Document approaches to research questions and contribute to reproducible research methodologies • Prepare datasets through cleaning, quality assurance, transformation, restructuring, and integration • Apply data science techniques including visualization, statistical analysis, machine learning, and data mining • Liaise with collaborators, research staff, and IT staff to generate, maintain, back up, and publicly disseminate laboratory data • Organize and automate project steps for data preparation and analysis

🎯 Requirements

• At least three years of experience working with genomic data sets in a research laboratory • At least one year of experience performing laboratory research involving high throughput nucleic acid sequencing • Experience with data science methods (programming, algorithms, deep learning) • Demonstrated experience developing reproducible and flexible scientific workflows with orchestration platforms such as Nextflow or Snakemake • Excellent written and verbal scientific communication skills • Documented experience using GitHub to disseminate research pipelines to the broader scientific community • Demonstrated ability to work independently and collaborate with other scientists, as well as mentor other researchers learning computational data analysis • Strong organization and prioritization skills • Programming experience in Python, R, and Nextflow • Version control with Git and collaborative open source software development experience • Data visualization and presentation experience • Track record of identifying and pursuing interesting problems in complex datasets • Ability to operate across multiple compute environments and technology stacks • Data transfer and management with command-line utilities and services like Globus • Strong competency with AI assistive technologies, e.g., coding agents • University sponsorship is not available; must maintain continuous eligibility to work in the United States without employer sponsorship • Cover letter and resume required

🏖️ Benefits

• Generous vacation, holidays, and sick leave • Competitive insurances and savings accounts • Retirement benefits • Healthy work-life balance • Supportive work environment committed to growth and advancement

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