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Remote Genomics Jobs in Wisconsin (NOW HIRING)

Commercial Agronomist - Crossroads

Madison, WI · On-site +1

$74.88K - $93.60K/yr

Fueled by an innovative drive and a deep understanding of microbiology, genomics, crop nutrition ... Exciting opportunity to work with a talented and fun team #LI-Remote Hiring Compensation Range $74 ...

Remote Genomics information

See Wisconsin salary details

$24.2K

$97K

$174.9K

How much do remote genomics jobs pay per year?

As of May 29, 2026, the average yearly pay for remote genomics in Wisconsin is $97,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,418.00 and $131,491.00 per year, depending on experience, location, and employer.

What is a Remote Genomics job?

A Remote Genomics job involves analyzing genetic data, conducting bioinformatics research, and interpreting genomic insights while working from a remote location. Professionals in this field use computational tools to study DNA, identify genetic variations, and apply findings to healthcare, agriculture, or biotechnology. Roles may include bioinformaticians, geneticists, or data scientists collaborating with research institutions, healthcare organizations, or biotech companies. Strong skills in programming, data analysis, and genetics are essential. Remote work allows flexibility but requires self-discipline and effective communication with teams.

What are the key skills and qualifications needed to thrive in the Remote Genomics position, and why are they important?

Succeeding in Remote Genomics requires a solid background in genetics, molecular biology, bioinformatics, or a related field, often supported by a relevant degree or research experience. Familiarity with industry-standard tools like Python/R for data analysis, genome sequencing platforms (e.g., Illumina), and experience with cloud-based collaboration systems is typical. Strong organizational skills, attention to detail, and clear remote communication are crucial soft skills for managing complex data and working across distributed teams. These qualifications ensure accuracy in genomic research, effective collaboration, and successful project delivery in a remote work environment.

What are some common challenges faced by professionals working in Remote Genomics positions?

Professionals in Remote Genomics roles often encounter challenges related to managing large datasets securely, ensuring seamless communication across dispersed teams, and keeping up with rapidly evolving analytical tools. Working remotely requires strong self-discipline and proactive collaboration through digital platforms to ensure project milestones are met. Additionally, handling sensitive genomic data means adhering to strict data privacy and compliance standards. However, many organizations offer robust onboarding, regular virtual meetings, and access to technical support to help overcome these challenges.
What are the most commonly searched types of Genomics jobs in Wisconsin? The most popular types of Genomics jobs in Wisconsin are:
What are popular job titles related to Remote Genomics jobs in Wisconsin? For Remote Genomics jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Remote Genomics jobs? Cities in Wisconsin with the most Remote Genomics job openings:
Genomics Research Programmer Analyst Associate - Remote

Genomics Research Programmer Analyst Associate - Remote

Aurora Health Care

Milwaukee, WI • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Overview The Genomics Research Programmer Analyst – Associate is responsible for helping to build and maintain Advocate's newly emergent genomic data warehouse to ensure high standards of data quality, security, and integrity. The role supports research initiatives by fulfilling data requests, which involves extracting genomic data and integrating it, when required, with patient clinical records and other sources to enable comprehensive analysis. Responsibilities Monitors and ensures the integrity, quality, and security of genomic data stored in the data warehouse.

Develops, tests, and debugs moderately complex SQL and routine R or Python code to deliver reproducible analysis-ready datasets. Documents processes and rationales with code. Provides data dictionaries and descriptive statistics with datasets as appropriate.

Maintains documentation for data workflows, pipelines, and warehouse architecture. Troubleshoots data pipeline issues and optimizes performance. Stays current with industry best practices and emerging technologies in genomics and data engineering.

Assists with defining functional requirements, formulating technical specifications, and researching and evaluating alternatives for moderately complex custom applications and processes that support research. Participates in data mapping and cleaning activities. Makes recommendations and improves data quality within research data infrastructure.

Ensures datasets are accessible and provided to research investigators and stakeholders in a manner consistent with HIPAA, IRB, legal agreements, policies and procedures, and other appropriate standards. Licensure, Registration, And/Or Certification Required Epic Caboodle Data Model certification issued by Epic. needs to be obtained within 6 months.

Epic Clarity Data Model certification issued by Epic (CLR110). needs to be obtained within 6 months. Epic Clinical Data Model certification issued by Epic (COG240).

needs to be obtained within 6 months. Education Required Bachelor's Degree in Computer Science or related field. Experience Required No experience required.

1-3 years experience preferred. Knowledge, Skills & Abilities Required Knowledge of genomic data formats (e.g., VCF, FASTQ), genomic data management, and genomic research methods. Experience with SQL, R programming languages.

Python and Bash preferred. Familiarity with genomic analysis tools such as SAMtools, BEDtools, DESeq2. Ability to incorporate new technical and analytical skills into current capabilities.

Ability to think analytically, logically, and use creativity. Ability to work independently, or as part of a team and balance multiple priorities. This role will help develop a technical solution for Advocate's genomics buildout.

The role will need to be familiar with genomic data and be ready to get training and certification in Epic data models over the next 6 months. Work Location, Remote Policy, and Conditions The Office of Research Analytics and Systems Computing is the research informatics team for the IL/WI divisions. We work with researchers to develop patient cohorts for each study in addition to analytical services (e.g., data science, etc.).

Remote options: Preferred remote locations in IL, WI, NC, GA. Fully remote role available from: AL, AK, AR, AZ, DE, FL, GA, IA, ID, IL, IN, LA, KS, KY, ME, MI, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, WI, WV, WY. Remote work is not permitted for short or long periods in CA, CO, CT, HI, MA, MD, MN, NJ, NY, OR, RI, VT, WA or for international locations (including vacations).

No relocation, sponsorship, or transfer of visa for this position. Physical Requirements And Working Conditions Position may require travel which may result in exposure to road and weather hazards. Exposed to normal office environment.

Operates all equipment necessary to perform the job. This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent.

Incumbent may be required to perform other related duties. #J-18808-Ljbffr