Bioinformatics Software Engineer

micro1 AI

Seattle, WA • Remote

$80 - $110/hr

Part-time

Posted 9 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.



Frequently asked questions

Q: What skills or qualities help someone succeed as a Bioinformatics Engineer?

A: To succeed as a Bioinformatics Engineer, key technical skills include proficiency in programming languages such as Python, R, and SQL, as well as expertise in bioinformatics tools and databases like BLAST, GenBank, and UCSC Genome Browser. Additionally, strong analytical and problem-solving skills, along with the ability to communicate complex scientific concepts to non-technical stakeholders, are essential soft skills for this role. By combining these technical and soft skills, Bioinformatics Engineers can effectively analyze and interpret large biological datasets, drive innovation in personalized medicine and genomics research, and advance their careers in this rapidly evolving field.

Q: What is the career path for a Bioinformatics Engineer?

A: A Bioinformatics Engineer's career path typically begins with entry-level roles such as Bioinformatics Analyst or Computational Biologist, where they apply computational tools and techniques to analyze and interpret biological data. As they gain experience, they can progress to mid-level roles like Senior Bioinformatics Analyst or Lead Computational Biologist, overseeing projects and mentoring junior team members, and then to senior roles like Bioinformatics Team Lead or Principal Scientist, where they drive research and development initiatives. Throughout their career, Bioinformatics Engineers can develop skills in programming languages, data analysis, machine learning, and domain-specific knowledge, and may also pursue advanced degrees or certifications to stay at the forefront of this rapidly evolving field.



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