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Remote Computational Biology Postdoc Jobs in Wisconsin

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

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Remote Computational Biology Postdoc information

What is a remote computational biology postdoc?

A Remote Computational Biology Postdoc is a postdoctoral research position focused on computational approaches to biological questions, conducted from a remote location rather than on-site at a university or research institution. Researchers in this role use bioinformatics, mathematical modeling, and data analysis to investigate areas such as genomics, systems biology, or drug discovery. Remote postdocs typically collaborate virtually with supervisors and teams, contributing to scientific papers, grants, and presentations. This arrangement offers flexibility, but also requires strong self-motivation and communication skills.

What are the key skills and qualifications needed to thrive as a remote computational biology postdoc?

To thrive as a Remote Computational Biology Postdoc, you need advanced expertise in bioinformatics, computational modeling, and biological data analysis, typically supported by a PhD in a relevant field. Familiarity with programming languages like Python or R, experience using computational biology tools (such as BLAST or Bioconductor), and knowledge of high-performance computing environments are essential. Strong problem-solving, independent research skills, and effective virtual communication set top candidates apart in this remote role. These abilities are crucial for producing robust scientific research, collaborating across locations, and advancing discoveries in the field.

What are some unique challenges and advantages of working as a remote computational biology postdoc compared to an on-site position?

Working remotely as a Computational Biology Postdoc offers the advantage of flexible scheduling and the ability to collaborate with international teams without relocation. However, it can present challenges such as maintaining regular communication with your advisor and lab members, accessing high-performance computing resources, and staying engaged with the broader research community. Successful remote postdocs often rely heavily on digital collaboration tools and must be proactive in seeking feedback and networking opportunities. Establishing a structured routine and regular check-ins with your team can help mitigate some of the isolation and ensure continued progress in your research.

What are the most commonly searched types of Computational Biology Postdoc jobs in Wisconsin?

The most popular types of Computational Biology Postdoc jobs in Wisconsin are:

What are popular job titles related to Remote Computational Biology Postdoc jobs in Wisconsin?

For Remote Computational Biology Postdoc jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Remote Computational Biology Postdoc jobs?

Cities in Wisconsin with the most Remote Computational Biology Postdoc job openings:

Cheminformatics Specialist - Remote

Milwaukee, WI • Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $110/hr

Part-time

Posted 26 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.