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Remote Entry Level Chemical Engineer Jobs in Madison, WI

Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports. * Experience participating in multidisciplinary and/or remote projects ...

The role is based in Midwest, United States (remote). We are also looking for this candidate to be ... Bachelor's degree in Engineering, Science, or a related technical field * Experience in sales ...

Remote Entry Level Chemical Engineer information

See Madison, WI salary details

$40.3K

$88.2K

$141.1K

How much do remote entry level chemical engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote entry level chemical engineer in Madison, WI is $88,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $107,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote entry level chemical engineers, and how can they be overcome?

Remote entry level chemical engineers often encounter challenges such as limited hands-on access to laboratory equipment and difficulty collaborating with cross-functional teams. To overcome these, it's important to proactively communicate with colleagues using digital collaboration tools, seek virtual mentorship, and request detailed data or video demonstrations for experimental processes. Staying organized and regularly checking in with supervisors can help ensure clear expectations and steady progress, even when working off-site.

What does a remote entry level chemical engineer do?

A remote entry level chemical engineer assists in designing, developing, and optimizing chemical processes and equipment from a remote location. Their tasks typically include data analysis, process simulations, technical report writing, and collaborating with senior engineers through virtual meetings. They may work on projects related to manufacturing, environmental protection, or energy production, using specialized software and digital communication tools. The remote aspect allows them to contribute to engineering teams without being physically present at the job site.

What are the key skills and qualifications needed to thrive as a remote entry level chemical engineer?

To thrive as a Remote Entry Level Chemical Engineer, you generally need a bachelor’s degree in chemical engineering and a solid understanding of fundamental engineering principles. Familiarity with simulation software like Aspen Plus or MATLAB, as well as basic knowledge of process control systems, is typically required. Strong problem-solving skills, effective communication, and self-motivation are vital soft skills for collaborating remotely and handling tasks independently. These competencies ensure accurate project contributions, smooth virtual teamwork, and successful adaptation to remote work environments.

What are popular job titles related to Remote Entry Level Chemical Engineer jobs in Madison, WI?

For Remote Entry Level Chemical Engineer jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Chemical Engineer jobs in Madison, WI look for?

The top searched job categories for Remote Entry Level Chemical Engineer jobs in Madison, WI are:

What cities near Madison, WI are hiring for Remote Entry Level Chemical Engineer jobs?

Cities near Madison, WI with the most Remote Entry Level Chemical Engineer job openings:

Infographic showing various Remote Entry Level Chemical Engineer job openings in Madison, WI as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $88,154 per year, or $42.4 per hour.

Bioinformatics Software Engineer

micro1 AI

Madison, WI • Remote

$80 - $110/hr

Part-time

Posted 10 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.