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Machine Learning Biology Jobs in Wisconsin (NOW HIRING)

EURAXESS Ireland

WI · On-site

$68.51 - $108.47/hr

Traditional antiviral drug discovery focuses on a small number of known targets, while the biology ... Qualifications PhD in machine learning, computer science, bioinformatics, or a related field.

wistar

Visiting Scientist - Weiner Lab

Institute, WI · On-site

Experience in relevant areas includes familiarity with machine learning tools for data analysis, Crispr-Cas approaches, nucleic acid biology, transcriptomics, 10x and single cell analysis, and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets. * Establish robust, reproducible, and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets. * Establish robust, reproducible, and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets. * Establish robust, reproducible, and ...

Grande

Corporate Lab Intern

Fond Du Lac, WI · On-site

Student in Sophomore or greater status pursuing a bachelor's degree in chemistry, biology, food science, or a related field. * Strong written and verbal communication skills. * Strong organizational ...

HSHS

Histology Technologist

Green Bay, WI · On-site

$26.80 - $40.20/hr

By evaluating and solving problems related to collection and processing of biological specimens the ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

University of Chicago Library

Research Technician

Knapp, WI · On-site

$19.23 - $26.44/hr

... machine learning and artificial intelligence approaches can be applied to clinical images from ... Experience with core molecular/cellular biology techniques and cancer cell culture. * Hands-on ...

Farm Systems

Dairy Data Scientist

Watertown, WI · On-site

... to analyze biological, production, sensor, and operational data and turn it into meaningful ... Experience with machine learning or predictive modeling. * Experience with Power BI, Tableau, or ...

New

Urus

Dairy Data Scientist

Watertown, WI · On-site

... to analyze biological, production, sensor, and operational data and turn it into meaningful ... Experience with machine learning or predictive modeling. * Experience with Power BI, Tableau, or ...

New

AgSource

Dairy Data Scientist

Watertown, WI · On-site +1

... to analyze biological, production, sensor, and operational data and turn it into meaningful ... Experience with machine learning or predictive modeling. * Experience with Power BI, Tableau, or ...

AgSource

Dairy Data Scientist

Watertown, WI · On-site

... to analyze biological, production, sensor, and operational data and turn it into meaningful ... Experience with machine learning or predictive modeling. * Experience with Power BI, Tableau, or ...

New

Urus Group LP

Dairy Data Scientist

Watertown, WI · On-site +1

... to analyze biological, production, sensor, and operational data and turn it into meaningful ... Experience with machine learning or predictive modeling. * Experience with Power BI, Tableau, or ...

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All JobsMachine Learning Biology JobsMachine Learning Biology Jobs in Wisconsin

Machine Learning Biology information

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What are popular job titles related to Machine Learning Biology jobs in Wisconsin?

For Machine Learning Biology jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biology jobs in Wisconsin look for?

The top searched job categories for Machine Learning Biology jobs in Wisconsin are:

Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Postdoctoral Researcher - Machine Learning

EURAXESS Ireland

WI • On-site

$68.51 - $108.47/hr

Other

Posted 11 days ago

Job description

Offer Description

Antiviral drugs are used to successfully treat infections such as HIV and HCV, yet for most life‑threatening and neglected infections no such drugs exist, leaving critical gaps in epidemic and pandemic preparedness. Traditional antiviral drug discovery focuses on a small number of known targets, while the biology of viral replication is far more complex and harbors many undiscovered druggable targets. Our aim is to revolutionize antiviral target discovery by uncovering this untapped landscape. We have developed high‑throughput, multiplex, high‑content multiparametric phenotypic antiviral assays that enable the screening of hundreds of thousands of molecules in our fully automated high‑biosafety screening facility (CAPS‑IT) against multiple viruses.

Responsibilities

You will design, develop, and deploy advanced machine‑learning models that exploit the full complexity of imaging data to identify promising molecules for in‑depth virological studies, ultimately creating the first‑of‑its‑kind "Atlas of Druggable Antiviral Targets". Your role will involve close collaboration with a multidisciplinary, international virology team and experts in AI and computational biology.

Key tasks include:

  • Developing and optimizing ML‑driven models within our antiviral screening pipeline to unlock the richness of multidimensional data.
  • Extracting and interpreting detailed phenotypic fingerprints at whole‑well and single‑cell resolution in virus‑infected cell cultures.
  • Using AI models to cluster compounds, infer mechanisms of action, identify unique activity signatures, and integrate toxicity profiles to reduce false positives and guide prioritization.
  • Collaborating with downstream validation groups to iteratively refine models and build an adaptive, evolving discovery pipeline.
Qualifications

PhD in machine learning, computer science, bioinformatics, or a related field.

Strong machine‑learning modelling expertise with experience analysing large‑scale data sets.

Experience with cellular imaging data or virology/immunology is a plus.

Core Skills
  • Creation and evaluation of machine‑learning models.
  • Familiarity with deep‑learning frameworks such as PyTorch or TensorFlow.
  • Data preparation, especially in a bioinformatics context (cleaning, filtering, etc.).
  • Data fusion and advanced algorithms (deep learning, generative AI, kernel methods, Bayesian methods).
  • Preferred experience with high‑content imaging or cell‑imaging data (e.g., CellProfiler, CNNs).
  • Knowledge of chemo‑informatics and drug discovery.
  • Strong statistical skills (batch effects, confounders, experimental design).
Benefits

Fully funded position with a competitive salary at KU Leuven. Access to cutting‑edge technologies and a broad collaborative network. Initial one‑year contract, potentially extendable based on performance.

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