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Genetics Python Genomics Jobs (NOW HIRING)

... genetics through innovative quantitative genetics analysis and technical expertise. This role ... Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ...

... genetics through innovative quantitative genetics analysis and technical expertise. This role ... Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ...

... genetics through innovative quantitative genetics analysis and technical expertise. This role ... Utilize genomic data and/or machine learning to enhance prediction models. * Collect, organize, and ...

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PhD in bioinformatics, computational biology, human genetics, genomics, immunology, biostatistics ... Proficiency in programming and data analysis using tools such as Python, R, Bash, Nextflow ...

... Genetics' clinical testing and genomic data analysis capabilities. The Lead Bioinformatics AI ... Hands-on experience with scripting language, such as Bash and Python. * Strong experience in cloud ...

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How much do genetics python genomics jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for genetics python genomics in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are Genetics Python Genomics jobs?

Genetics Python Genomics jobs involve using Python programming to analyze and interpret genetic and genomic data. Professionals in this field work on tasks such as processing DNA sequences, identifying genetic variations, and developing bioinformatics tools to support research in genetics. The role often requires a strong background in biology, genetics, and computer science, particularly in data analysis and software development. These jobs are typically found in research institutions, biotech companies, and healthcare organizations working on precision medicine and genetic research.

How do Genetics Python Genomics professionals typically collaborate with biologists and data scientists in research projects?

Genetics Python Genomics professionals often work closely with biologists to understand experimental goals and interpret genetic data, while also partnering with data scientists to develop and implement robust computational workflows. Collaboration usually involves translating biological questions into analytical tasks, creating and optimizing Python scripts for genomics data processing, and presenting results in a clear, actionable format. Effective communication and interdisciplinary teamwork are key in this role, as projects frequently require integrating knowledge from genetics, programming, and statistics to drive scientific discovery.

What is the difference between Genetics Python Genomics vs Bioinformatics Analyst?

AspectGenetics Python GenomicsBioinformatics Analyst
Required CredentialsBachelor's or Master's in Genetics, Bioinformatics, or related field; proficiency in PythonBachelor's or Master's in Bioinformatics, Computer Science, or related field; programming skills in Python and R
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, healthcare, biotech firms, data analysis teams
Industry UsageGenetics research, genomics data analysis, personalized medicineGenomics, disease research, data interpretation, software development

Genetics Python Genomics focuses on developing Python-based tools for genetic data analysis, often within research or biotech settings. Bioinformatics Analysts also work with genetic data but typically perform broader data interpretation and reporting tasks. Both roles require programming skills and a background in biology or genetics, but Genetics Python Genomics emphasizes coding and tool development, while Bioinformatics Analysts focus on data analysis and insights.

What are the key skills and qualifications needed to thrive as a Genetics Python Genomics specialist, and why are they important?

To excel as a Genetics Python Genomics specialist, you need a solid background in genetics, bioinformatics, and proficiency in Python programming, often supported by a relevant degree such as bioinformatics, computational biology, or genetics. Familiarity with bioinformatics tools (e.g., Biopython, GATK, PLINK), next-generation sequencing platforms, and genomic databases is essential. Strong analytical thinking, attention to detail, and effective communication help in interpreting complex data and collaborating across multidisciplinary teams. These competencies are vital for accurately analyzing genomic data, developing reproducible workflows, and advancing research or clinical applications.
Infographic showing various Genetics Python Genomics job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Full-time

Posted 24 days ago


Job description

The Quantitative Geneticist at URUS is responsible for producing industry-leading bovine genetics through innovative quantitative genetics analysis and technical expertise. This role involves development of innovative approaches to genetic advancement with hands-on data analysis and analytical tasks to support scientific and operational excellence with operational goals to deploy genomic and genetic selection tools within the PEAK breeding program. 

Reporting to the Chief Science Officer of Acceligen, who leads the team in the Genetic Advancement and Trait Discovery as part of the Innovation group at URUS. The Quantitative Geneticist will ideally be based in Madison, WI. 

RESPONSIBILITIES 

Research and Development 

  • Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software.
  • Utilize genomic data and/or machine learning to enhance prediction models. 

  • Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran

  • Design and refine software pipelines that empower end-users to work independently. 

  • Use data-driven analysis to support project decision-making and breeding program optimization

  • Identify opportunities for innovation by actively following scientific developments in genetics, translating them into practical applications for URUS.

  • Ensure accuracy, reliability, and timely delivery of research outputs. 

 Strategic Communication and Planning 

  • Prepare materials for URUS internal and external education channels. 

  • Report on project status promptly and professionally. 

  • Contribute to long-term research and innovation strategies. 

  • Actively participate in team and cross-functional meetings. 

  • Attend scientific, technical, and commercial events to support knowledge exchange and visibility. 

Technical and Operational Support 

  • Provide technical and operational support to URUS breeding programs to improve output and efficiency. 

  • Interpret genetic evaluation results and communicate upcoming changes. 

  • Monitor and troubleshoot trends in genetic rankings and performance data. 

  • Maintain up-to-date professional and technical expertise relevant to genetics and operations. 

  • Deploy genetic diversity management tools within the breeding program. 

PROFESSIONAL QUALIFICATIONS AND EXPERIENCE 

  • Ph.D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a related field. 

  • Knowledge of dairy or beef cattle production preferred. 

  • Technical and Scientific Expertise

    • Demonstrated experience with genomic evaluation processes, including data ingestion and integration, genotype imputation, variance component estimation, and breeding value prediction.

    • Strong background in statistical analysis of large and complex datasets.

    • Knowledge of genomewide association analysis (GWAS).

    • Familiarity with dairy or beef cattle production systems (preferred).

  • Programming and Software Skills

    • Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R, Python, and SQL.

    • Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks

    • Proficient in Microsoft Office applications.

  • Excellent communication skills with fluency in English.

  • Ability to build strong, effective relationships across teams and organizational levels.

  • Skilled at engaging with stakeholders from entrylevel employees to executive leadership.

  • Strong interpersonal, analytical, and decisionmaking abilities.

  • Effective timemanagement skills and the ability to balance multiple priorities.

  • Intellectual curiosity with a commitment to continuous learning and identifying new opportunities.

  • Willingness to travel occasionally.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.