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Machine Learning Fortran Jobs (NOW HIRING)

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 ...

Burning Plasma Scientist

Kearny, NJ · On-site

$135K - $210K/yr

In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning ... Python, Fortran, C++, or MATLAB) * Creative problem solving and proven ability to thrive in ...

Burning Plasma Scientist

Kearny, NJ · On-site

$135K - $210K/yr

In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning ... Python, Fortran, C++, or MATLAB) * Creative problem solving and proven ability to thrive in ...

Advanced programming skills (e.g., Python, Fortran, MATLAB, R, C/C++) * Experience with web-based ... Experience integrating AI or machine learning approaches into environmental modeling * Experience ...

... R, Fortran, or similar. * Experience with remote sensing data analysis and geographic information systems (GIS). * Familiarity with machine learning approaches and quantitative data analysis.

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Machine Learning Fortran information

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How much do machine learning fortran jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for machine learning fortran in the United States is $71.16, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $79.09 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Fortran vs Data Scientist?

AspectMachine Learning FortranData Scientist
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; familiarity with FortranBachelor's or higher in Statistics, Computer Science, or related fields; often includes certifications in data analysis
Work EnvironmentResearch labs, engineering firms, industries using legacy systemsTech companies, finance, healthcare, consulting firms
Industry UsageSpecialized in scientific computing, legacy systems, numerical simulationsData analysis, predictive modeling, business insights

Machine Learning Fortran focuses on applying machine learning techniques within scientific and engineering contexts, often working with legacy Fortran code. Data Scientists have a broader role in analyzing data across various industries, utilizing diverse tools and programming languages. While both roles require strong analytical skills, their work environments and applications differ significantly.

Infographic showing various Machine Learning Fortran job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $148,012 per year, or $71.2 per hour.

Full-time

Posted 23 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.