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Remote R Programming Jobs in Maine (NOW HIRING)

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

Remote R Programming information

See Maine salary details

$77.5K

$120.1K

$146.2K

How much do remote r programming jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote r programming in Maine is $120,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $135,100.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Remote R Programmer might work on?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What is a Remote R Programming job?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

What are the key skills and qualifications needed to thrive in the Remote R Programming position, and why are they important?

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What are popular job titles related to Remote R Programming jobs in Maine? For Remote R Programming jobs in Maine, the most frequently searched job titles are:
Bioinformatics Engineer II (Remote/East Coast)

Bioinformatics Engineer II (Remote/East Coast)

Parse Biosciences

Portland, ME • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

WHO WE ARE

Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.

Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.

THE PRODUCT

We've built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we're offering a rare opportunity to join our team and change the world by building tools that help to improve human health.

The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with!

THE POSITION

As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You'll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.

YOU CAN EXPECT

  • An agile, diverse and multidisciplinary team.
  • A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time.
  • A place to look at things differently, challenge and offer solutions.
  • A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture.
  • A fast-paced environment of continuous improvement, optimised for impact.

IN THIS POSITION, YOU WILL

This position is for full time, 100% remote work. We would expect you to:

  • Always put the user first.
  • Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker.
  • Continuously iterate and improve existing single cell pipelines and features.
  • Receive and incorporate feedback from customers and colleagues.
  • Perform troubleshooting of customer analyses.
  • Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team.
  • Experiment, test, try, fail and learn continuously.
  • Think like an owner, and take pride in your work.
  • Help and mentor teammates.

FOR THIS POSITION, WE LOOK FOR

  • Someone excited about building tools that will be used by thousands of single cell researchers.
  • A track record of designing, building and improving data analysis software that solves user problems.
  • A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level.
  • Fluent in Python and R.
  • Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat.
  • Competency working with container-based cloud applications, ideally on AWS.
  • Strong data visualization skills.
  • Significant experience in conducting code reviews and providing feedback to others.
  • Experience and desire to work as part of a close-knit team.
  • Experience using version control systems such as Git/GitHub is preferred.
  • Proficiency building pipelines with Nextflow or similar frameworks is preferred.
  • Experience of integrating AI tools into development workflows is preferred.
  • Knowledge of and/or interest in web development is preferred.
  • Experience working with Bash is preferred.

JOB CONDITIONS

  • This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided.
  • Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email.

Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.

As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.

To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including:
  • Medical, dental, vision, and Rx (prescription) coverage beginning on the 1st day of the month following your start date. Parse covers 90% of the monthly premiums for employees, and 60% for dependents.
  • A 401(k) program with no waiting period to participate
  • Basic life insurance and short and long-term disability coverage. Monthly premiums for both are covered at 100% by Parse.
  • Flexible spending account (FSA) options for medical, dependent care, and commuter expenses
  • A transportation program (Seattle only)
  • 12 paid holidays annually and a winter holiday break
  • A generous time off policy
Market Pay Range - Exact compensation offered will be determined based on the candidate's education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.
$100,000—$135,000 USD