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Tidyverse Jobs (NOW HIRING)

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). * Background working with common data ...

ERC Inc.

Data Scientist

Huntsville, AL

Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). Background working with common data ...

AT&T

Lead Data Scientist

Atlanta, GA · On-site

Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse ...

AT&T

Lead Data Scientist

Dallas, TX · On-site

Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse ...

Yale Cancer Center

Senior Statistician

New Haven, CT · On-site

$87K - $107K/yr

Demonstrated skill in producing visualizations using coded processes (e.g., Tidyverse, Quarto, Shiny). * Commitment to pairing effective data communication with rigorous research design and analysis.

Vibrant

Senior Data Scientist

$99K - $132K/yr

Strong proficiency in Python and/or R for data analysis, modeling, and reporting; familiarity with relevant libraries (scikit-learn, pandas, tidyverse, etc.) * Experience with model development ...

Vibrant Emotional Health

Senior Data Scientist

$99K - $132K/yr

Strong proficiency in Python and/or R for data analysis, modeling, and reporting; familiarity with relevant libraries (scikit-learn, pandas, tidyverse, etc.) * Experience with model development ...

Uw

Research Scientist/Engineer 1

Seattle, WA · On-site

$70K/yr

Python (numpy/pandas), basic R (Seurat/tidyverse), bash; Git; Linux. 2. NGS data processing: BCLFASTQ demultiplexing; adapter/quality trimming; UMI handling; QC with MultiQC; alignment/quantification ...

AT&T

Lead Data Scientist

El Segundo, CA · On-site

Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse ...

Tempus

Scientist II, Translational Research

Manhattan, NY · On-site

$100K - $150K/yr

Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. * Team player mindset and ...

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Tidyverse information

What are Tidyverse packages?

The Tidyverse is a collection of R packages designed for data science. These packages share an underlying design philosophy, grammar, and data structures, making it easy to manipulate, explore, and visualize data. The core Tidyverse packages include ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, and forcats, among others. They help streamline common data analysis tasks and are widely used by R programmers for efficient and readable code.

What are the key skills and qualifications needed to thrive as a Tidyverse data analyst?

To thrive as a Tidyverse Data Analyst, you need strong data manipulation, visualization, and statistical analysis skills, typically supported by a degree in statistics, data science, or a related field. Proficiency in R programming and mastery of Tidyverse packages (such as dplyr, ggplot2, tidyr, and readr) are essential, along with knowledge of version control systems like Git. Analytical thinking, attention to detail, and clear communication are standout soft skills in this role. These skills ensure accurate data insights, reproducible workflows, and effective collaboration with stakeholders for data-driven decision-making.

How does working as a Tidyverse data analyst typically involve collaboration with other teams or departments?

As a Tidyverse data analyst, collaboration is a core aspect of the role. You'll often work closely with stakeholders from various departments, such as marketing, finance, or product teams, to understand their data needs and translate them into actionable insights using R and the Tidyverse package suite. Regular communication is essential for gathering requirements, presenting findings, and ensuring that analyses align with business goals. Additionally, you may partner with data engineers or IT to access and manage datasets, and with other analysts to share best practices and streamline workflows.

What is the difference between Tidyverse vs Data Analyst?

AspectTidyverseData Analyst
Primary FocusData manipulation, visualization, and analysis using R packagesInterpreting data, creating reports, and supporting decision-making
Skills & ToolsR programming, ggplot2, dplyr, tidyr, readrExcel, SQL, statistical analysis, data visualization tools
Work EnvironmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Required CredentialsKnowledge of R, data analysis, statisticsDegree in statistics, data science, or related fields

While Tidyverse refers to a collection of R packages for data manipulation and visualization, Data Analysts utilize these tools along with other skills to interpret data and generate insights. Tidyverse is a technical toolkit, whereas Data Analyst is a role that applies these tools in various industries to support decision-making.

More about Tidyverse jobs

What cities are hiring for Tidyverse jobs?

Cities with the most Tidyverse job openings:

What states have the most Tidyverse jobs?

States with the most job openings for Tidyverse jobs include:

What job categories do people searching Tidyverse jobs look for?

The top searched job categories for Tidyverse jobs are:

What other helpful pages are available for Tidyverse?

Other pages related to Tidyverse:

Tidyverse jobs near you
Infographic showing various Tidyverse job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution.

Bioinformatics Full-Stack Developer

Austin, TX • On-site

Signature Science, LLC
Scientific Research and Development Services • 51 - 200 employees
Learn more about Signature Science, LLCexternal

$105K/yr

Full-time

Re-posted 28 days ago

Job description

Position Purpose:   

The bioinformatics full-stack developer is responsible for building and maintaining a digital bridge between frontend user-facing applications and backend bioinformatics pipelines. This position will oversee the delivery of high-quality software capable of analyzing nucleotide sequence data to produce actionable and user-friendly reports. The ideal candidate will be prepared to oversee and contribute to the development of an integrated software stack for characterization of DNA sequencing data on local hardware systems. 
             

This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.

Essential Duties and Responsibilities:

  • Work with a team to develop and test full-stack software for analysis and interpretation of whole genome sequencing data, including front and back-end software components.
  • Implement and test data processing workflows and automated analysis pipelines. Optimize reproducible software pipelines that produce consistent, standardized results.
  • Oversee workflow bench marking and testing, identifying inconsistencies and resolving issues.
  • Contribute to management of computing hardware, operational logistics, and data warehousing.
  • Contribute to the preparation of standard operating procedures, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.
  • Communicate and interact regularly with project team members and stakeholders. 

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency using version control software (e.g., Git) to manage programming code.
  • Advanced proficiency with C++.
  • Proficiency in developing software user interfaces.
  • Proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data.
  • Proficiency with at least one programming or run-time interpreted programming language.
  • Proficiency with Continuous Integration and Continuous Deployment/Delivery (CI/CD).
  • Experience managing a development project including multiple teams.
  • Familiarity with issue and project tracking software.
  • Skilled at time and priority management.
  • Excellent written and oral communication skills.
  • Preferred: Proficiency with Python.
  • Preferred: proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Proficiency working with and developing using containerization technology.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • Required: 5+ years of previous work experience in a full-stack developer role
  • Required: BS/BA in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: MS or PhD in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: Experience managing and analyzing large-scale datasets produced by DNA sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data

Clearance:

  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

 

Supervisory Responsibilities:

  • Serve as a task leader within one or more projects.

 

Working Conditions/ Equipment:

  • Ability to work in varying conditions to include traditional office environments with extended sedentary periods required for code development and testing.