ZipRecruiter

Log In

1

Freelance Bioinformatics Machine Learning Jobs in Wisconsin

EURAXESS Ireland

WI · On-site

$68.51 - $108.47/hr

Qualifications PhD in machine learning, computer science, bioinformatics, or a related field. Strong machine‑learning modelling expertise with experience analysing large‑scale data sets.

Elephas

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative ...

Elephas

Senior Data Scientist

Madison, WI

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative ...

Euroclear

WI · On-site

$120 - $150/hr

Background in Machine Learning, Data Science, or Generative AI. We welcome applicants from all ... Please note that this is a permanent position, and we do not offer freelance or contract ...

Euroclear

WI · On-site

$100 - $130/hr

Background in Machine Learning, Data Science, or Generative AI is a valuable asset. We welcome ... Please note that this is a permanent position, and we do not offer freelance or contract ...

All JobsBioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning Jobs in Wisconsin

Freelance Bioinformatics Machine Learning information

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Wisconsin?

The most popular types of Bioinformatics Machine Learning jobs in Wisconsin are:

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

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

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

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

What cities in Wisconsin are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities in Wisconsin with the most Freelance Bioinformatics Machine Learning job openings:

Freelance Bioinformatics Machine Learning jobs near you

Postdoctoral Researcher - Machine Learning

EURAXESS Ireland

WI • On-site

$68.51 - $108.47/hr

Other

Posted 4 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.

#J-18808-Ljbffr

Apply