R
Which roles require it and how much it matters — mapped across real job-role profiles.
Short answer: R is asked for by 4 of the 103 job-role profiles Skilture maps, and is a core requirement in 1 — most heavily by Bioinformatics Scientist, Data Analyst and Data Scientist.
Source: Skilture's 103 job-role profiles · Updated
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- Roles that list it
- 4 of 103
- Core requirement
- 1 rolenon-negotiable there
- Skill type
- Technicalhard, teachable
Who hires for R?
The roles in Skilture's catalogue that list R, and how heavily each one weights it.
Bioinformatics Scientist
Required as a hard skill.
Data Analyst
Required as a hard skill.
Data Scientist
Required as a hard skill.
Marketing Analyst
Required as a hard skill.
Targeting one of these roles? Grab the ATS resume keywords:
How interviewers test R
Real questions from Skilture's interview banks, with what the interviewer is listening for.
Bioinformatics Scientist · intermediate
Describe a scenario where you would prefer to use R over Python for a bioinformatics task, and vice-versa.
Listen for: The candidate should highlight R's strengths in statistical analysis, data visualization, and its rich ecosystem of bioconductor packages for specific genomic analyses. For Python, they should mention its general-purpose programming capabilities, scripting for automation, and machine learning libraries. A red flag is showing a strong bias without justification or lacking awareness of each language's strengths.
Bioinformatics Scientist · intermediate
You are given a dataset of gene expression values for two different conditions. How would you use a t-test in R to determine if there is a significant difference in expression for a specific gene?
Listen for: The candidate should describe using the `t.test()` function in R, specifying the two groups of expression values. They should also mention checking assumptions (normality, equal variance) or considering non-parametric alternatives if assumptions are violated. A red flag is not knowing the basic syntax or the assumptions of the t-test.
What roles that use R pay in the US
Annual wages in US dollars for the roles above: median, and the 10th–90th percentile range.
| Role | Median | Range |
|---|---|---|
| Data Analyst | $120,230 | $67,240 – $199,130 |
| Data Scientist | $120,230 | $67,240 – $199,130 |
United States, USD. Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics), 2025; each median links to its occupation. India (INR): no sourced figure for these roles yet, so none is shown.
Skills that pair with R
Employers hiring for R most often ask for these alongside it.
Put R to work
Does your resume show R?
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R: common questions
- Is R worth learning in 2026?
- R is listed in 4 of the 103 job-role profiles Skilture maps, and it is a core requirement in 1 of them. Explore the roles above to see where it matters most, then run a free skill gap analysis to see if you already have it.
- Which jobs require R?
- Roles that ask for R include Bioinformatics Scientist, Data Analyst, Data Scientist, Marketing Analyst. You can check how your own skills match any of these roles with Skilture's free skill gap analysis — no signup required.
- How do interviewers test R?
- A typical question, from Bioinformatics Scientist interviews: "Describe a scenario where you would prefer to use R over Python for a bioinformatics task, and vice-versa." What the interviewer listens for: The candidate should highlight R's strengths in statistical analysis, data visualization, and its rich ecosystem of bioconductor packages for specific genomic analyses. For Python, they should mention its general-purpose programming capabilities, scripting for automation, and machine learning libraries. A red flag is showing a strong bias without justification or lacking awareness of each language's strengths.