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Remote Software Developer Hospitality Jobs in Connecticut

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Remote Software Developer Hospitality information

What are the key skills and qualifications needed to thrive as a remote software developer in hospitality?

To excel as a Remote Software Developer in Hospitality, you need strong programming skills (such as Java, Python, or JavaScript), experience with web and mobile application development, and a relevant degree or certifications. Familiarity with hospitality management systems (like PMS or POS), cloud platforms, APIs, and tools like Git or Jira is common. Excellent communication, problem-solving abilities, and self-motivation are vital for collaborating across remote teams and understanding hospitality-specific needs. These skills ensure efficient development of user-friendly solutions that enhance customer experiences and streamline operations in a highly service-oriented industry.

How do remote software developers in hospitality typically collaborate with cross-functional teams?

Remote software developers in the hospitality sector often work closely with product managers, designers, QA engineers, and sometimes directly with clients or operations teams. Collaboration is facilitated through regular virtual meetings, agile sprints, and project management tools like Jira or Trello. Developers frequently participate in code reviews, share updates via team channels, and use version control platforms such as GitHub to ensure smooth integration of features. Strong communication skills and proactive engagement are key to overcoming the challenges of remote collaboration and ensuring project success.

What does a remote software developer in hospitality do?

A Remote Software Developer in Hospitality designs, develops, and maintains software solutions tailored for the hospitality industry, such as hotels, resorts, and restaurants. They work on applications like booking systems, property management systems, and guest experience platforms, all while working remotely. Their role often involves collaborating with cross-functional teams to deliver reliable, user-friendly products that enhance operational efficiency and guest satisfaction. Strong communication skills and industry knowledge are important, as they need to understand hospitality workflows and customer needs.

What cities in Connecticut are hiring for Remote Software Developer Hospitality jobs?

Cities in Connecticut with the most Remote Software Developer Hospitality job openings:

Infographic showing various Remote Software Developer Hospitality job openings in Connecticut as of June 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Hartford, CT • 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.