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Small Molecule Drug Development Jobs in Michigan

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Small Molecule Drug Development information

What is small molecule drug development?

Small molecule drug development is the process of discovering, designing, and bringing to market pharmaceutical compounds that have low molecular weight and can easily enter cells to affect biological processes. These drugs are typically administered orally and are used to treat a wide range of diseases. The development process involves several stages, including target identification, compound screening, preclinical testing, and clinical trials before regulatory approval. Small molecule drugs are distinct from biologics, which are larger and more complex molecules like proteins or antibodies.

What degree do you need to work in small molecule drug development?

A career in small molecule drug development typically requires at least a bachelor's degree in chemistry, biochemistry, pharmaceutical sciences, or a related field. Advanced roles often prefer or require a master's or Ph.D. degree, along with experience in laboratory research, drug synthesis, and analytical techniques.

What are some common challenges faced by professionals in small molecule drug development, and how can they be addressed?

Professionals in small molecule drug development often face challenges such as balancing tight project timelines with rigorous regulatory requirements and managing cross-disciplinary collaboration between chemistry, biology, and clinical teams. Navigating unexpected results in preclinical or clinical studies can also require rapid problem-solving and adaptation. Building strong communication skills and staying updated on the latest regulatory guidelines and scientific advances can help address these challenges. Working closely with team members from diverse backgrounds fosters innovative solutions and keeps projects on track.

What are the key skills and qualifications needed to thrive in small molecule drug development, and why are they important?

To thrive in Small Molecule Drug Development, you need a strong background in chemistry, pharmacology, and molecular biology, typically supported by an advanced degree such as a Ph.D. or M.S. in a related field. Proficiency with laboratory techniques, analytical instrumentation (like HPLC and mass spectrometry), and drug discovery software is essential. Strong problem-solving skills, collaboration, and project management abilities help professionals excel in multidisciplinary teams. These skills and qualities are critical for efficiently advancing compounds through the drug discovery pipeline and ensuring compliance with regulatory standards.

What are popular job titles related to Small Molecule Drug Development jobs in Michigan?

For Small Molecule Drug Development jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Small Molecule Drug Development jobs in Michigan look for?

The top searched job categories for Small Molecule Drug Development jobs in Michigan are:

What cities in Michigan are hiring for Small Molecule Drug Development jobs?

Cities in Michigan with the most Small Molecule Drug Development job openings:

Infographic showing various Small Molecule Drug Development job openings in Michigan as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution.

Bioinformatics Software Engineer

micro1 AI

Ann Arbor, MI • Remote

$80 - $110/hr

Part-time

Posted 12 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.