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Remote Release Train Engineer Jobs in Arkansas (NOW HIRING)

LCMC Health

$20.75 - $25.25/hr

This individual will mentor, train and assist with cross training coding staff, includes newly ... Adheres to LCMC confidentiality requirements as they relate to release of any individual or ...

LCMC Health

This individual will mentor, train and assist with cross training coding staff, includes newly ... Adheres to LCMC confidentiality requirements as they relate to release of any individual or ...

CareAbout

Remote Reporting Relationships: This position reports to CareAbout Health's SVP Medical Economics ... Partner with Data Engineering to oversee governance of data ingestion pipelines, ensuring data ...

micro1 AI

Director of Biostatistics

Fayetteville, AR · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your ...

micro1 AI

Director of Biostatistics

Little Rock, AR · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your ...

micro1 AI

Director of Biostatistics

Little Rock, AR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

micro1 AI

Director of Biostatistics

Fayetteville, AR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

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All JobsRelease Train Engineer JobsRemote Release Train Engineer JobsRemote Release Train Engineer Jobs in Arkansas

Remote Release Train Engineer information

What is a remote release train engineer?

A Remote Release Train Engineer (RTE) is a servant leader and coach for an Agile Release Train (ART), working remotely to facilitate program-level processes and execution. The RTE helps manage risks, escalates impediments, and ensures alignment across teams to deliver value in large-scale Agile organizations. They organize and facilitate key events like PI Planning, Scrum of Scrums, and System Demos, all while communicating across distributed teams. Working remotely, they use digital tools to collaborate and keep projects on track, ensuring continuous improvement and transparency.

What are the key skills and qualifications needed to thrive as a remote release train engineer?

To thrive as a Remote Release Train Engineer, you need a solid understanding of Agile methodologies (especially SAFe), project management, and experience coordinating large-scale software development initiatives, often backed by a relevant degree and SAFe RTE certification. Familiarity with tools like Jira, Confluence, and virtual collaboration platforms is typically required. Excellent communication, facilitation, and conflict resolution skills help align distributed teams and drive continuous improvement. These skills are crucial for ensuring seamless program execution, stakeholder alignment, and the successful delivery of complex projects in a remote environment.

How does a remote release train engineer ensure effective communication and alignment across distributed Agile teams?

A Remote Release Train Engineer (RTE) plays a crucial role in facilitating collaboration among multiple Agile teams, often spread across different locations and time zones. To ensure effective communication and alignment, RTEs leverage digital tools like virtual whiteboards, video conferencing, and project management platforms to host regular sync meetings, such as PI Planning and Scrum of Scrums. They proactively address potential misunderstandings, foster transparency by sharing updates, and create clear documentation accessible to all stakeholders. Building trust and maintaining open lines of communication are key to keeping everyone aligned and ensuring that program objectives are met.

What is the difference between Remote Release Train Engineer vs Remote Scrum Master?

AspectRemote Release Train EngineerRemote Scrum Master
CertificationsSAFe Program Consultant (SPC), Agile certificationsCSM, PSM, Agile certifications
Work EnvironmentAgile Release Trains, SAFe frameworks, large-scale programsScrum teams, project teams, smaller Agile groups
Industry UsageSoftware, IT, large enterprises adopting SAFeSoftware, IT, startups, small to medium enterprises

The Remote Release Train Engineer and Remote Scrum Master both work within Agile frameworks and require similar certifications. However, the Release Train Engineer focuses on coordinating multiple Agile teams within a large-scale SAFe environment, while the Scrum Master typically supports individual teams. The RTE manages program-level processes, whereas the Scrum Master facilitates team-level Agile practices. Both roles are essential in Agile organizations but differ in scope and scale.

What are popular job titles related to Remote Release Train Engineer jobs in Arkansas?

For Remote Release Train Engineer jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Remote Release Train Engineer jobs in Arkansas look for?

The top searched job categories for Remote Release Train Engineer jobs in Arkansas are:

Remote Release Train Engineer jobs near you
Infographic showing various Remote Release Train Engineer job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Little Rock, AR • Remote

$80 - $110/hr

Part-time

Posted 16 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.

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