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Remote R Programming Jobs in Plainfield, IL (NOW HIRING)

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful

Data Scientist II, Outcomes Research

Chicago, IL ยท On-site +1

$100K - $150K/yr

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful

Consultant, Advisory (Atlanta)

Chicago, IL ยท On-site +1

$65K - $95K/yr

Compensation Range: $65,000 - $95,000 Compensation Disclaimer: The salary range listed reflects the base pay for this role at Altus Group and is provided where required by local regulations. Actual

SAP FI/CO Lead

Villa Park, IL ยท On-site +1

$56.50 - $72.75/hr

Req ID: 387761 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking

SAP FI/CO Lead

Oak Brook, IL ยท On-site +1

$57.25 - $74/hr

Req ID: 387761 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking

Data Scientist

Chicago, IL ยท On-site +1

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a

Director, AI Governance - IAA06AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every

Showing results 41-55

Remote R Programming information

See Plainfield, IL salary details

$78K

$120.9K

$147.2K

How much do remote r programming jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote r programming in Plainfield, IL is $120,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a remote R programming?

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 does a remote R programmer do?

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 are the key skills and qualifications needed to thrive in the remote R programming position?

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 cities near Plainfield, IL are hiring for Remote R Programming jobs?

Cities near Plainfield, IL with the most Remote R Programming job openings:

Infographic showing various Remote R Programming job openings in Plainfield, IL as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,863 per year, or $58.1 per hour.

Bioinformatics Scientist

Chicago, IL โ€ข On-site, Remote

Full-time

Re-posted 11 days ago


Key responsibilities

  • Develop, tune, and optimize assays, algorithms, machine learning, and statistical models to analyze NGS and multimodal data for biomarker detection.

  • Develop and refine machine learning models for tumor fraction estimation and tracking to support treatment response monitoring.

  • Design and execute experiments to evaluate the assay's analytical performance for regulatory documentation.


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy Science team. This role will focus directly on assay and algorithmic development, optimization, and analytical validation of our next-generation Liquid Biopsy assays. The ideal candidate will possess deep technical and biological expertise to address key liquid biopsy challenges for various applications including diagnostics, complete genomic profiling, therapeutic selection, and treatment response monitoring (TRM).

Core Duties and Responsibilities

  • High-Sensitivity Biomarker Detection: Develop, tune, and optimize novel assays, algorithms, machine learning and statistical models to analyze next-generation sequencing (NGS) and multimodal data to detect oncology related biomarkers (SNV/indel/CNV/rearrangements, MSI, bTMB) from cell free DNA.

  • Tumor Fraction Estimation & Modeling: Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation and tracking, enabling robust evaluation for longitudinal treatment response monitoring (TRM).

  • Noise Suppression & Error Correction: Improve advanced molecular barcoding filtering strategies to distinguish true low-frequency oncology-related biomarkers from background sequencing artifacts.

  • Clonal Hematopoiesis (CHIP) Disambiguation: Design and integrate machine learning classifiers and filtering logic to effectively differentiate non-tumor-derived Clonal Hematopoiesis variants from true tumor-derived variants, protecting patients from inappropriate therapy selections.

  • Performance Characterization & Regulatory Support: Design and execute experiments to evaluate the assay's analytical performance to support regulatory documentation for CAP/CLIA, New York State (NYS), FDA, and MolDx submissions.

  • Cross-Functional Collaboration: Work closely with wet-lab assay development scientists, medical directors, clinical scientists, biostatisticians, software engineers, and product managers to translate cutting-edge research into clinically actionable insights and production-scale pipelines.

Qualifications and Competencies

  • Must have completed a Ph.D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science

  • In-depth knowledge of modern tools and pipelines for processing, aligning, and analyzing multimodal NGS data (including epigenetics, DNA, RNA).

  • Computational skills using Python and/or R, including experience with data science and biological computing libraries.

  • Expertise with cloud computing environments (AWS or GCP), container solutions (Docker), and common workflow management tools (Nextflow, Snakemake)

  • Proven scientific reputation as demonstrated by scientific publication and/or contribution to successful product development in industry

  • Strong background in constructing statistical models, creating predictive/prognostic algorithms, and applying machine learning techniques.

  • Demonstrated effective communication and presentation skills

  • Self-driven and works well in interdisciplinary teams

Pay Range: 100,000 - 140,000 USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.