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Remote Meditech Software Developer Jobs in Fort Pierce, FL

Remote Meditech Software Developer information

See Fort Pierce, FL salary details

$40.5K

$94.3K

$140K

How much do remote meditech software developer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote meditech software developer in Fort Pierce, FL is $94,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $109,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Meditech Software Developer vs Remote Epic Software Developer?

AspectRemote Meditech Software DeveloperRemote Epic Software Developer
Required CredentialsMeditech certification, programming skills in M or other languagesEpic certification, Epic-specific programming knowledge
Work EnvironmentHealthcare IT, hospital systems, remote or onsiteHealthcare IT, hospital systems, remote or onsite
Employer & Industry UsageHospitals, healthcare providers using MeditechHospitals, healthcare providers using Epic
Common Search & ComparisonYesYes

The main difference between a Remote Meditech Software Developer and a Remote Epic Software Developer lies in the specific healthcare software systems they work with. Meditech developers focus on Meditech platforms, while Epic developers specialize in Epic systems. Both roles require industry-specific certifications and involve working in healthcare IT environments, often remotely. The choice depends on the employer's software infrastructure and the developer's certifications and expertise.

Bioinformatics Software Engineer

Port Saint Lucie, FL • Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $110/hr

Part-time

Posted 23 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.