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Bioinformatic Remote information

Are bioinformaticians in demand?

Bioinformaticians are in high demand due to the growth of genomics, personalized medicine, and biotechnology industries. They often work in research labs, healthcare, and pharmaceutical companies, with skills in programming, data analysis, and biological sciences being highly valued.

Can you work remotely as a bioinformatician?

Yes, many bioinformaticians work remotely, especially those involved in data analysis, software development, and research collaboration. Remote work is common in this field due to the digital nature of the work and the use of tools like R, Python, and cloud computing platforms.

What is the difference between Bioinformatic Remote vs Bioinformatics Technician?

AspectBioinformatic RemoteBioinformatics Technician
CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsAssociate's or Bachelor's in Bioinformatics, Biology, or related fields
Work EnvironmentRemote, often from home or flexible locationsLaboratory or office-based, on-site work
Employer & IndustryResearch institutions, biotech companies, academia, often remote rolesHospitals, research labs, biotech firms, typically on-site
Work FocusData analysis, software development, computational researchSample processing, data collection, laboratory tasks

In summary, Bioinformatic Remote roles focus on computational data analysis and software tasks often performed remotely, while Bioinformatics Technicians typically work on laboratory-based sample processing and data collection on-site. Both roles require related credentials but differ mainly in work environment and daily responsibilities.

What are popular job titles related to Bioinformatic Remote jobs in Rhode Island? For Bioinformatic Remote jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Bioinformatic Remote jobs in Rhode Island look for? The top searched job categories for Bioinformatic Remote jobs in Rhode Island are:
What cities in Rhode Island are hiring for Bioinformatic Remote jobs? Cities in Rhode Island with the most Bioinformatic Remote job openings:
Bioinformatic Remote jobs near you
Infographic showing various Bioinformatic Remote job openings in Rhode Island as of July 2026, with employment types broken down into 10% Locum Tenens, 19% Internship, 27% As Needed, 24% Full Time, 4% Part Time, and 16% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Providence, RI • Remote

$90 - $120/hr

Part-time

Posted 8 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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