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Bioinformatics Job Jobs in Wisconsin (NOW HIRING)

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Design, develop, and maintain robust and efficient ETL/ELT pipelines and processes on Databricks for both operational and bioinformatics datasets (e.g., genomic markers, phenotypic data, laboratory ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Design, develop, and maintain robust and efficient ETL/ELT pipelines and processes on Databricks for both operational and bioinformatics datasets (e.g., genomic markers, phenotypic data, laboratory ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Design, develop, and maintain robust and efficient ETL/ELT pipelines and processes on Databricks for both operational and bioinformatics datasets (e.g., genomic markers, phenotypic data, laboratory ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Design, develop, and maintain robust and efficient ETL/ELT pipelines and processes on Databricks for both operational and bioinformatics datasets (e.g., genomic markers, phenotypic data, laboratory ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Design, develop, and maintain robust and efficient ETL/ELT pipelines and processes on Databricks for both operational and bioinformatics datasets (e.g., genomic markers, phenotypic data, laboratory ...

Post-Doctoral Fellow - Wu Lab

Institute, WI · On-site

$47K - $63K/yr

We are seeking a highly motivated Post-Doctoral Fellow to work at the intersection of molecular biology and bioinformatics by using single-cell multiomics to better understand the epigenetics of the ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

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Bioinformatics Job information

What are some common challenges faced by professionals in bioinformatics roles, and how can they be addressed?

Bioinformatics professionals often encounter challenges such as managing large and complex datasets, keeping up with rapidly evolving technologies, and collaborating effectively with interdisciplinary teams. To address these challenges, it's important to develop strong data management and analytical skills, stay updated through continuous learning, and communicate clearly with both biologists and computer scientists. Leveraging version control tools, computational resources, and participating in collaborative projects can also help streamline workflows and enhance productivity.

What are the key skills and qualifications needed to thrive as a Bioinformatics professional, and why are they important?

To thrive in a Bioinformatics job, you need a strong background in biology, statistics, and computer science, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics databases, and tools like BLAST or Next-Generation Sequencing platforms is essential. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this role. These skills are crucial for accurately interpreting complex data, collaborating with interdisciplinary teams, and advancing research outcomes.

What are bioinformatics jobs?

Bioinformatics jobs involve the application of computer science, mathematics, and biology to analyze and interpret complex biological data, such as genetic sequences. Professionals in this field develop algorithms, create databases, and use statistical tools to solve problems in genomics, drug discovery, and other life sciences. These roles are typically found in research institutions, biotechnology companies, pharmaceutical firms, and academic settings. The field is growing rapidly due to advances in technology and the increasing importance of big data in biology.
What are popular job titles related to Bioinformatics Job jobs in Wisconsin? For Bioinformatics Job jobs in Wisconsin, the most frequently searched job titles are:
Infographic showing various Bioinformatics Job job openings in Wisconsin as of July 2026, with employment types broken down into 14% Locum Tenens, 42% As Needed, 18% Full Time, 5% Part Time, 1% Contract, and 20% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Kenosha, WI • Remote

$90 - $120/hr

Part-time

Posted 6 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.