Research Scientist: Salary and Responsibilities in 2026

The research scientist advances the state of knowledge on questions that are still open. They formulate hypotheses, design new methods, test them and publish their results. In artificial intelligence, they work just as much in the labs of large technology groups as at deeptech startups or in public research.

It is a rare profile: a PhD is almost always expected, and the best candidates are sought after by both industry and academia. This page details the missions of the research scientist, the role of publications, the difference with the research engineer, their salary in both the private and public sector, and their career paths.

Job profile last updated on 28/09/2026.

Key takeaways

• The research scientist conducts research work on open questions and produces new methods, new results and publications.
• They work in tandem with the research engineer, who builds the technical means to test their ideas.
• Education: a PhD in the vast majority of cases, often followed by a postdoc.
• Salary: in industry, no public benchmark for this title; our Data, AI and ML placements go as high as €150,000. In public research, the INRAE pay scale for a chargé de recherche runs from €32,496 to €53,526 gross per year, including bonuses.
• Career paths: senior or staff research scientist, research lead, chief scientific officer, chief scientist.

What does a research scientist do?

Their missions organise around 4 main blocks.

1. Defining research questions

• Identify open problems of scientific or strategic interest to the organisation.
• Formulate hypotheses and a research programme.
• Continuously follow the scientific literature.

2. Designing and running experiments

• Design new methods, architectures or algorithms.
• Define the experimental protocol and the evaluation criteria.
• Analyse results and iterate, in close contact with research engineers.

3. Publishing and sharing

• Write scientific papers and submit them to the field's conferences and journals.
• Present their work at conferences and take part in peer review.

4. Transferring and mentoring

• Contribute to the transfer of results toward the product or applications.
• Mentor PhD students, interns or junior research engineers.

Research scientist or research engineer: what is the difference?

The research scientist carries the questions, the hypotheses and the new methods; they are evaluated on the quality and reach of their results. The research engineer builds the means to answer them: code, infrastructure, experiments at scale. A PhD is almost always expected for the former, common but not systematic for the latter.

At startups, one person often holds both roles. The detailed comparison of the two roles is in the research engineer page. For an applied research profile in the service of a product, see also the AI scientist page.

Why do publications matter so much?

In research, publication is the standard form of validating a result: work submitted to a conference or a journal is reviewed and assessed by other researchers before being accepted. In artificial intelligence, major conferences such as NeurIPS, ICML or ICLR play that role.

For the research scientist, the publication record is at once proof of competence, a visibility lever and a central hiring criterion. For the employer, allowing publication is often an attractiveness argument, to be weighed against the confidentiality of certain work.

In industry or in public research?

The research scientist can work in two very different worlds.

In public research, the equivalent permanent position is that of researcher. According to the CNRS (French National Centre for Scientific Research), its researchers are split into two grades, chargé de recherche and directeur de recherche (French public research grades), both classified in category A of the French civil service, and recruited through competitive examination.

In industry, the research scientist is a private-sector employee, at a corporate lab or a startup, working on topics more directly tied to the product.

The underlying trend favours industry. According to the Stanford AI Index 2024, in North America, 70.7% of new AI PhDs joined industry in 2022, against 20.0% for academia, whereas the two shares were nearly equal in 2011.

What role does the research scientist play in the organisation?

In industry, the research scientist generally reports to a research lead, a head of research or a chief scientific officer. They work with:

• research engineers, who implement and scale their experiments;
• machine learning engineers, who industrialise results;
• product teams, to steer research toward applications;
• partner academic labs, through collaborations or PhD supervision.

What skills does it take to become a research scientist?

Scientific skills

• Deep expertise in a field: machine learning, vision, language, robotics, optimisation.
• Solid mathematical fundamentals.
• Research methodology: hypothesis formulation, protocol, statistical analysis of results.
• Scientific writing in English.

Technical skills

• Programming in Python and command of a framework such as PyTorch or JAX.
• The ability to rapidly prototype new methods.

Soft skills

• Creativity and a taste for open problems.
• Perseverance, as research involves a lot of failure.
• Critical thinking toward one's own results.
• Teaching ability, to mentor and pass on knowledge.

Tools and work environment

The research scientist uses the same tools as the research engineer (Python, PyTorch or JAX, compute clusters, experiment tracking), with a larger place for scientific reading, writing papers and preparing conference presentations.

How do you become a research scientist?

The typical path goes through a PhD in the target field, often followed by one or more postdocs. The CIFRE industrial PhD, prepared within a company in partnership with a public lab, is a direct route into industrial research: it is detailed in the R&D engineer page.

The application relies on the research track record: publications, topics worked on, recognised contributions, sometimes open-source code.

Research scientist salary in 2026

There is no public benchmark for the title "research scientist" in the private sector in France. Two benchmarks help place the role, with their limitations.

In industry, our placements. In our tech and engineering salary benchmark, built on 69 permanent contracts signed between August 2025 and August 2026, the Data, AI and ML family, which includes applied research profiles, shows a median of €62,000, a third quartile at €105,000 and AI Safety profiles up to €150,000. The Deeptech, AI and Data sector pays a median of €75,000 across all roles.

In public research, the researcher pay scale. According to the pay scale published by INRAE, the French public research institute for agriculture, food and environment (figures as of 1 January 2025, including bonuses, gross per year):

Excluding residence allowance and family supplement. Source: INRAE, pay scale, January 2025 figures.

Three reading precautions:

• The Bluecoders sample is small (7 placements in the family) and does not solely cover the research scientist title.
• The public pay scale covers an entire career, while our data covers hiring salaries.
• The choice between public and private is not just about salary: job stability, research freedom, the ability to publish and access to compute resources carry a lot of weight.

What Bluecoders sees on this profile

Researchers have motivations that go beyond salary: the scientific interest of the project, research freedom, the quality of the team and the real impact of the work. This is what we observe in our deeptech recruitment. For a private employer, research freedom and the quality of the team therefore deserve as much attention as compensation.

Bluecoders recruits researchers, research engineers and PhD holders for deeptech companies, including a PhD holder in applied mathematics for Wheere.

What career paths does a research scientist have?

• Senior then staff research scientist, with growing influence over the research agenda.
• Research lead or head of research, to manage a team.
• Chief scientific officer or chief scientist.
• Chief AI Officer, for profiles moving toward strategy.
• A return to public research or higher education, or founding a deeptech startup.

Hire a research scientist with Bluecoders

Are you a researcher or PhD holder considering a research scientist role in industry? Check out our current openings.

Are you hiring a research scientist? Discover our approach to recruitment in deeptech or contact us to build a proposition that genuinely speaks to researchers.

FAQ

What is a research scientist?

A research scientist is a researcher who advances the state of knowledge on open questions. They formulate hypotheses, design new methods, run experiments and publish their results. In AI, they work at corporate labs, deeptech startups and in public research.

What is the difference between a research scientist and a research engineer?

The research scientist carries the questions, the hypotheses and the new methods, and is evaluated on their results and publications. The research engineer builds the means to answer them: code, infrastructure, experiments at scale. A PhD is almost always expected for the former, not systematically for the latter.

What is the salary of a research scientist?

In industry, there is no public benchmark for this title; across Bluecoders placements in the Data, AI and ML family, the median is €62,000 and the most advanced profiles climb as high as €150,000. In public research, the INRAE pay scale for a chargé de recherche runs from €32,496 to €53,526 gross per year, including bonuses.

Why do publications matter so much for a research scientist?

Because publication is the standard form of validating a research result, after peer review. The publication record serves as proof of competence, a visibility lever and a central hiring criterion, in both industry and the public sector.

Do you need a PhD to be a research scientist?

In the vast majority of cases, yes. A PhD, often supplemented by a postdoc, is the typical path. This is an important difference from the research engineer, accessible with a Master's-level degree and solid technical experience.

Research scientist in industry or researcher in the public sector: what is the difference?

In public research, the permanent researcher is a civil servant (chargé de recherche then directeur de recherche), recruited through competitive examination, with great freedom over their subject. In industry, the research scientist is a private-sector employee, working on topics more tied to the product and generally earning more, but with publication possibilities that depend on the employer.

What skills does it take to become a research scientist?

Deep expertise in a field, solid mathematical fundamentals, rigorous research methodology, good practice of scientific writing in English, and command of Python and a framework such as PyTorch or JAX.

What career paths does a research scientist have?

Toward senior or staff research scientist, research lead, head of research, chief scientific officer or chief scientist, toward leadership roles such as Chief AI Officer, or toward public research, higher education or deeptech entrepreneurship.