U

University of Wisconsin-Madison

Public research university in Madison, WI

Data Scientist 2

Data SciencePosted on Nov 12
Full-timeMadison, WI, USA$92.2k /yr

About the Job

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, including programming, algorithms, and 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, collaborate with other scientists, and mentor researchers learning computational data analysis.
  • Strong organization and prioritization skills.
  • Programming experience in Python, R, and Nextflow.
  • Experience with Git version control and collaborative open-source software development.
  • Data visualization and presentation experience, ideally including reporting via web deployment and public speaking, such as at conferences.
  • A track record of identifying and pursuing interesting problems in complex datasets.
  • Ability to operate across multiple compute environments and technology stacks.
  • Experience with data transfer and management using command-line utilities and services such as Globus.
  • Strong competency with AI-assistive technologies, such as coding agents.

Responsibilities

  • Develop, design, organize, and conduct research projects under the supervision of the principal investigator and senior scientists, contributing across lab projects and predominantly working on the Lungfish project focused on environmental pathogen monitoring with virus metagenomic sequencing.
  • Use workflow orchestration tools such as Nextflow or Snakemake to develop robust, reproducible data analysis workflows that run on local servers, UW-Madison CHTC HTC and HPC resources, and commercial on-demand cloud computing clusters.
  • Document and deploy robust analysis tools, sharing them publicly via GitHub.
  • Mentor and advise students and staff on computational analysis of genomic data, and present and publish the data.
  • Compose and assemble reproducible workflows and reports to clearly articulate patterns to researchers and administrators.
  • Document approaches to address research questions and contribute to establishing reproducible research methodologies and analysis workflows.
  • Prepare datasets for analysis, including cleaning and quality assurance, transformations, restructuring, and integration of multiple data sources.
  • Independently identify and implement appropriate data science techniques—including data visualization, statistical analysis, machine learning, and data mining—to find data patterns and answer research questions chosen by the lead researcher.
  • Liaise with collaborators, research staff, and IT staff to generate, maintain, back up, and publicly disseminate raw and interpreted laboratory data.
  • Organize and automate project steps for data preparation and analysis.

Desired Qualifications

  • Knowledge of statistics.
  • Understanding of pathogen genomics.
  • Experience in an academic research laboratory.
  • Familiarity with manuscript and research grant preparation.
  • Understanding of laboratory data management systems such as LabKey Server.
  • Experience with AI-assisted data exploration, analysis, visualization, and reporting is strongly preferred.
  • A Master's degree focused in genomics or bioinformatics is preferred.

About the Company

University of Wisconsin-Madison

Public research university in Madison, WI

The University of Wisconsin-Madison is a public land-grant research university founded in 1848 in Madison, Wisconsin. Its teaching, research, and public-service mission is guided by the Wisconsin Idea.

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