ZipRecruiter

Log In

1

Phd In Biochemistry Jobs in Wisconsin (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Kenosha, WI · Remote

$80 - $110/hr

Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

micro1 AI

Bioinformatics Software Engineer

Madison, WI · Remote

$80 - $110/hr

Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

BioFirst Group

WI · On-site

$120 - $180/hr

A Master's degree in Biology, Bioscience Engineering, Biochemistry or another relevant life sciences discipline. A PhD is considered a strong asset. * Experience in applied biological research ...

New

Versiti, Inc.

Postdoctoral Fellow - Sundd Lab

Wauwatosa, WI · On-site

$48K - $65K/yr

... and biochemistry techniques. Strong background in neutrophil and platelet adhesion biology ... PhD or equivalent degree required Experience * 0 - 6 years of postdoctoral training required ...

previous page

Showing results 41-60

All JobsPhd In Biochemistry JobsPhd In Biochemistry Jobs in Wisconsin

Phd In Biochemistry information

Is it worth getting a PhD in biochemistry?

A PhD in biochemistry prepares individuals for research, academia, and specialized roles in the biotech and pharmaceutical industries. It involves extensive laboratory work, advanced knowledge of molecular biology, and often requires several years of study, leading to higher-level positions and increased earning potential but also significant time and financial investment.

What is a PhD in Biochemistry?

A PhD in Biochemistry is a doctoral degree that focuses on advanced research and study of the chemical processes within and related to living organisms. This program typically involves coursework, laboratory research, and the completion of a dissertation based on original research. Graduates are trained to understand complex biological systems at the molecular level and are prepared for careers in academia, industry, and government. The degree usually takes 4-6 years to complete and requires a strong background in biology, chemistry, and related sciences.

What can I do with a PhD in biochemistry?

A PhD in biochemistry prepares individuals for careers in research, academia, pharmaceuticals, biotechnology, and healthcare industries. Graduates often work as research scientists, lab managers, or university professors, utilizing skills in laboratory techniques, data analysis, and scientific communication.

What types of collaborative projects does a PhD in Biochemistry typically engage in within academic or industry settings?

PhDs in Biochemistry often collaborate on interdisciplinary projects with professionals from fields such as molecular biology, pharmacology, and bioinformatics. These collaborations may involve designing experiments, sharing specialized equipment, and jointly analyzing complex data sets to advance research goals. In both academic and industry environments, teamwork is essential for publishing impactful research, developing new products, or translating discoveries into clinical applications. Effective communication and project management skills are valuable assets for successfully navigating these collaborative efforts.

What are the key skills and qualifications needed to thrive as a PhD in Biochemistry, and why are they important?

To thrive as a PhD in Biochemistry, you need advanced knowledge of molecular biology, chemistry, and experimental design, supported by a doctoral degree in biochemistry or a related field. Proficiency with laboratory techniques, analytical instruments (such as mass spectrometry or chromatography), and data analysis software is essential. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting results and collaborating with multidisciplinary teams. These skills and qualities are vital for advancing scientific research, publishing impactful findings, and driving innovation in biochemical sciences.
What are popular job titles related to Phd In Biochemistry jobs in Wisconsin? For Phd In Biochemistry jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Phd In Biochemistry jobs in Wisconsin look for? The top searched job categories for Phd In Biochemistry jobs in Wisconsin are:
What cities in Wisconsin are hiring for Phd In Biochemistry jobs? Cities in Wisconsin with the most Phd In Biochemistry job openings:
Phd In Biochemistry jobs near you
Infographic showing various Phd In Biochemistry job openings in Wisconsin as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Green Bay, 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.

Apply