Data Scientist II

Location: Madison, WI

Remote Type: Remote

Time Type: Full time

Job Description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Job Category:

Academic Staff

Employment Type:

Regular

Job Profile:

Data Scientist II

Job Summary:

The O’Connor Lab is searching for a Data Scientist II. The successful applicant will help develop, design, organize, and conduct research projects under the supervision of Dr. OConnor and senior scientists in the lab. They will contribute to projects across the lab but work predominantly on the Lungfish project, which focuses on advancing environmental pathogen monitoring with virus metagenomic sequencing.

The Data Scientist will use workflow orchestration tools such as Nextflow or Snakemake to develop robust, reproducible data analysis workflows that can run on a variety of computational platforms, including local servers, UW-Madison CHTC HTC and HPC resources, and commercial on-demand cloud computing clusters. Data analysis tools developed in this position are shared publicly via GitHub, so demonstrated experience documenting and deploying robust analysis tools is essential. Visible experience with AI-assisted data exploration, analysis, visualization, and reporting is strongly preferred.The successful applicant will also be responsible for mentoring and advising students and staff on computational analysis of genomic data, and presenting and publishing this data. Therefore, outstanding communication skills are required. 

• It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location.
• Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration:
  • Programming experience in Python, R, and Nextflow
  • Version control with Git and collaborative open source software development experience
  • Data visualization and presentation experience, ideally including reporting via web deployment and also via public speaking e.g. at conferences
  • Track record of identifying and pursuing interesting problems in complex datasets
  • Can 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

Key Job Responsibilities:

• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

• Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows

• Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources

• Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining

• Mentor less computationally experienced lab staff and collaborators in robust and reproducible data analysis

• Liaise with stakeholders including but not limited to collaborators, other research staff, and IT staff to generate, maintain, backup, and publicly disseminate raw and interpreted laboratory data

• Organizes and automates project steps for data preparation and analysis

Department:

School of Medicine and Public Health, Department of Pathology & Laboratory Medicine, OConnor Lab

The Department of Pathology and Laboratory Medicine is dedicated to the highest quality patient care, cutting-edge and impactful research, and teaching the next generation of pathologists and scientists. We emphasize a healthy work-life balance and provide a supportive work environment committed to the growth and advancement of our members. Our vibrant clinical department integrates anatomic pathology, laboratory medicine, teaching, and a robust research enterprise, and serves the UW, American Family Children’s, VA, and other Madison hospitals. Our basic science and translational research programs have made fundamental discoveries in cell and stem cell biology, immunology, neuroscience, and infectious disease. Opportunities in education include a T32-funded PhD graduate program, pathology resident and fellowship programs, and both medical school and undergraduate curricula.

Madison, often rated as one of the best places to live in America, is built on an isthmus, surrounded by lakes. The city, campus, green spaces and urban areas are blended to create a place unlike any other.

Compensation:

The starting salary for the position is $92,228 annually; but is negotiable based on experience and qualifications. 

 

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. SMPH Faculty /Academic Staff Benefits Flyer 2026

Required Qualifications:

• 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

Preferred 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

 

Education:

Master’s Degree preferred; focus in genomics or bioinformatics preferred

How to Apply:

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.

 

To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. Failure to submit the required documents will result in no longer being considered for the position.

 • Cover letter required
 • Resume required

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above and should provide links to public Github repositories or other demonstrations of previous work products. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected

University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work. 

Contact Information:

Tia Seguin, tia.seguin@wisc.edu, 608-263-3731

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. 

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal Opportunity Employer. 

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. 
 
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). 
 
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