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Profile of Camille
Biology / Life sciences · Final PhD year or dissertation writing · RIASEC code ISA
This report turns your free assessment results into operational recommendations for a post-PhD move into industry, consulting, data, health, innovation, or cross-functional roles.
Dominant strengths: Openness to Experience + Conscientiousness.
Vocational drivers: Investigative / Social / Artistic.
Priority values: Self-direction / Universalism / Achievement.
Immediate recommendation: test two role families over the next 30 days through targeted networking conversations.
Detailed OCEAN profile
Strong intellectual curiosity, comfort with ambiguity, and appetite for new ideas. In a transition, this dimension governs how fast you absorb a new sector: your comfort with unfamiliar commercial vocabulary, and your ability to restate your thesis for a non-academic listener. State this explicitly in your pitch.
Organization, discipline, and reliability — highly transferable in industry settings. In a transition, this is the dimension industry recruiters read most directly: deadlines held, deliverables trusted, documentation usable by someone else. It is also the easiest doctoral strength to prove with numbers. State this explicitly in your pitch.
Reflective profile: deep individual work, written communication, and focused analysis. In a transition, this dimension sets your networking strategy: how many informal conversations you can sustain, and which interview format shows you at your most accurate. A stable resource, best framed alongside your other dimensions.
Cooperation, empathy, and service-oriented leadership — useful in team-heavy roles. In a transition, this dimension shapes the kind of team that suits you and your negotiating margin: cooperation is an asset in cross-functional work, but scope and salary talks need an explicit frame. State this explicitly in your pitch.
(Higher neuroticism) More sensitive to stress signals — pay attention to team pace and uncertainty. In a transition, this dimension mostly tells you what pace to aim for. It says nothing about your competence and a lot about the level of uncertainty and load you can carry without losing quality. A stable resource, best framed alongside your other dimensions.
RIASEC profile and compatible environments
RIASEC code ISA. Your dominant code describes less a single job than a combination of environments where your professional energy is most likely to last.
Strong pull toward investigation, data, hypotheses, and solving ambiguous technical problems.
Energy for teaching, mentoring, human coordination, and roles where relationships help the work move forward.
Energy for expression, visualization, scientific storytelling, and original ways to make complex ideas understandable.
Preference for hands-on work, instrumentation, prototyping, and environments where ideas become measurable systems.
Preference for structure, compliance, quality, documentation, and robust operational processes.
Orientation toward influence, decisions, partnerships, and turning expertise into market or organizational momentum.
Schwartz values: your decision criteria
Values work as a filter: a role can be objectively prestigious and subjectively expensive if it contradicts what actually drives you.
You need autonomy — look for R&D, product, startup, or independent environments where ownership is real rather than symbolic. Protect intellectual autonomy through framing, analysis, research strategy, or product-discovery work rather than pure execution.
Societal impact matters — mission-driven biotech, public policy, sustainability, health, and responsible innovation may be strong contexts. Target organizations where scientific, societal, health, or sustainability impact is explicit enough to sustain motivation.
Achievement and visible progress motivate you — roles with clear goals, decision criteria, and advancement signals will fit better. Favor environments that recognize delivery and progress, not only tenure or academic pedigree.
You look for novelty and change — early-stage teams, innovation groups, and emerging technologies may sustain your energy. Keep a meaningful share of novelty through new sectors, cross-functional missions, innovation, or startup contexts.
Relationships and support matter — mentoring, enablement, training, and collaborative project roles are worth exploring. Look for roles where helping teams, mentoring, training, or coordination creates central value.
Recommended roles and in-depth analysis
Funding agencies · Foundations · European programmes. Reviews calls, follows consortia, and reports to funders. Strong fit for organized profiles who know academic work from the inside.
Why this role fits your profile: You have written, read or reviewed funding applications and you can spot a badly scoped project. The shift is vantage point: you assess and monitor, you no longer own the science.
Evidence to prepare: An analysis of one real call for proposals: eligibility rules, evaluation criteria, and three reasons good science would still be rejected under them.
7-day action: Download an open Horizon Europe call text and write the scoring grid you would use to rank submissions against it.
IP firms · Tech transfer offices · Corporate IP departments. Handles prior art, freedom to operate, and claim drafting support. Strong fit for Investigative + Conventional profiles with close reading habits.
Why this role fits your profile: Prior art searching is a literature review held to a legal standard, where a claim is read word by word. The break is that novelty matters more than scientific interest.
Evidence to prepare: A short prior art search on an invention in your field: search strategy, five relevant documents, and your reasoned view on novelty.
7-day action: Find a patent close to your subject on Espacenet, read claim 1, and write what it covers and what it leaves open.
Biotech · Pharma · AI · Digital health. Turns complex datasets into usable evidence. Strong fit for Investigative + Conventional profiles with rigorous analytical habits.
Why this role fits your profile: This is the closest match to your daily practice, with one shift: the code has to be reviewed, versioned and picked up by someone else, and the question comes from a business team rather than from you.
Evidence to prepare: One clean public repository: a readable notebook and a README stating the question, the data, the method and the limitation. Hiring managers here read code before the CV.
7-day action: Take one analysis from your thesis, rewrite it as a clean repository with a one-page README, and publish it.
Large companies · Mid-market firms · Private labs. Applies research methods inside an organization. Strong fit for Investigative + Realistic profiles with rigor and steady delivery habits.
Why this role fits your profile: The most direct technical continuation, with two breaks: the objective is set by the product, and cost and deadline become scientific criteria in their own right.
Evidence to prepare: A project where a material constraint — budget, instrument access, bench time — forced you to change method without losing validity.
7-day action: Rewrite one thesis chapter as a requirements document: objective, constraint, acceptance criterion, result. The vocabulary shift does the work.
Continuing education · Enterprise learning · E-learning. Turns complex expertise into learning experiences. Strong fit for Social + Investigative profiles with collaborative communication strengths.
Why this role fits your profile: You have taught, supervised and made hard ideas land with people in a hurry. Professional training pays for that skill directly, with a demand for immediate usefulness.
Evidence to prepare: A two-hour module you can deliver: learning objective, run of show, exercise, assessment method. Concrete and testable.
7-day action: Design the outline of your two-hour module and deliver it once, free, to a real audience. The feedback is worth an interview.
15 compatible roles and pay ranges
All 15 catalogue roles, ranked by how well they match your profile. Each range is a market observation for the role, gross annual, with its source. It is not an estimate of what you will be offered.
French reference, absent a UK or US source: €36,000 gross/year at two years
Source: Official ANR scientific project manager posting, 2026 — one post, not an aggregate
UK £28,500 – £42,000 gross/year while part-qualified
Source: Prospects.ac.uk patent attorney profile, 2026 — trainee route, adjacent role
UK £25,000 – £40,000 gross/year at entry
Source: Prospects.ac.uk, data scientist profile, 2026 — early career, PhD or MSc entry
US $103,410 median gross/year
Source: US Bureau of Labor Statistics, Medical Scientists, 2025 — doctoral degree is the entry credential
US $45,448 – $114,542 gross/year at entry level
Source: Glassdoor US technical trainer, 2026 — wide band, self-reported
Range and source in the premium report.
Range and source in the premium report.
Range and source in the premium report.
Range and source in the premium report.
Range and source in the premium report.
Range and source in the premium report.
Range and source in the premium report.
Range and source in the premium report.
Range and source in the premium report.
Range and source in the premium report.
Ranges are quoted in the currency of the market they come from, with no conversion applied. UK and US figures are not interchangeable.
Glassdoor figures are self-reported and unaudited. Where the sample is small, the source line says so.
No public dataset breaks pay down by doctoral degree role by role, so these are role-level bands that happen to include PhD holders.
A missing range is written as missing. We do not invent a figure to complete a list.
Post-PhD repositioning plan
CV angle: replace "thesis topic" with "problem solved", "method", "volume of data or samples", and "decision this enabled".
Technical skills to name: Molecular & cell biology, Omics analysis (NGS, proteomics), Biobank management, Applied bioinformatics.
Project skills: Complex project management, Strategic planning, Budget & resource coordination, Risk management.
Influence skills: Scientific communication, Writing & editing, Data storytelling, Public speaking.
Collective skills: Team leadership, Mentoring & enablement, Conflict resolution, Emotional intelligence.
Week 1: write a 90-second pitch and a five-line LinkedIn version.
Week 2: contact 15 PhD alumni working in your target roles.
Week 3: adapt your CV and portfolio to two role families, no more.
Week 4: apply sparingly but precisely, with a personalized outreach message.
OCEAN radar: the working style to sell
This page turns the psychometric radar into arguments you can use in an interview. The point is not to recite a score, but to show how your way of working reduces a risk for the employer.
Openness to Experience (4.8/5): Prepare an example of a method you learned outside your specialty to unblock a project: how long it took, who helped, and what it let you conclude.
Conscientiousness (4.5/5): Prepare a quantified reliability example: a protocol held for months, a complete dataset, a reporting deadline met despite an equipment failure.
Agreeableness (4.5/5): Prepare a real scientific disagreement with a colleague or supervisor: what was at stake, how it was settled, and what the team kept from it.
Emotional sensitivity (neuroticism) (3.0/5): Prepare a concrete setback — a failed experiment, a rejected paper, a result that would not reproduce — and what you did in the 48 hours that followed.
Extraversion (2.8/5): Prepare one outward-facing example — conference, seminar, outreach, supervising an intern — including the effect on the audience, not just the format.
Pivot line: "My doctoral work trained me to turn uncertainty into a protocol, and a protocol into an actionable decision."
Dominant values: conditions for success
Your three dominant values help you choose environments where energy will last after the move. They should also drive the questions you ask in interviews.
You need autonomy — look for R&D, product, startup, or independent environments where ownership is real rather than symbolic. Protect intellectual autonomy through framing, analysis, research strategy, or product-discovery work rather than pure execution.
Question to ask: "Who picks the method: the person in the role, the team, or the client?"
Societal impact matters — mission-driven biotech, public policy, sustainability, health, and responsible innovation may be strong contexts. Target organizations where scientific, societal, health, or sustainability impact is explicit enough to sustain motivation.
Question to ask: "On what grounds would this company walk away from a profitable but questionable project?"
Achievement and visible progress motivate you — roles with clear goals, decision criteria, and advancement signals will fit better. Favor environments that recognize delivery and progress, not only tenure or academic pedigree.
Question to ask: "How do you measure that someone has succeeded in their first six months here?"
RIASEC code: targeting environments
RIASEC code ISA. Use your code as a search filter: it separates an attractive job title from a genuinely compatible environment.
I — Investigative (5.0/5): Look for an open problem in the responsibilities: characterize, investigate, model. If everything is already solved and only execution remains, your interest will fade.
S — Social (4.0/5): Look for people you are explicitly there to support: training, enablement, mentoring, community. Otherwise the relational side vanishes from the actual day.
A — Artistic (3.7/5): Look for visible output: a figure, a publication, an asset, an interface, a narrative. A role with nothing you can show will frustrate you.
Green flag: the job ad names open problems, identified stakeholders, and concrete deliverables.
Red flag: the role sells a prestigious title but stays vague about decisions, users, or measurable impact.
Role deep dive 1: Research Programme Manager
Research Programme Manager — 87% match in the Funding agencies · Foundations · European programmes. Reviews calls, follows consortia, and reports to funders. Strong fit for organized profiles who know academic work from the inside.
You have written, read or reviewed funding applications and you can spot a badly scoped project. The shift is vantage point: you assess and monitor, you no longer own the science.
An analysis of one real call for proposals: eligibility rules, evaluation criteria, and three reasons good science would still be rejected under them.
call for proposals, Horizon Europe, ERC, grant assessment, peer review panels, programme monitoring, grant agreements, reporting, consortium building
Talk to a programme manager at an agency or foundation and ask what separates a funded proposal from the one ranked just below it.
Download an open Horizon Europe call text and write the scoring grid you would use to rank submissions against it.
Role deep dive 2: Patent Engineer / Patent
Analyst
Patent Engineer / Patent Analyst — 84% match in the IP firms · Tech transfer offices · Corporate IP departments. Handles prior art, freedom to operate, and claim drafting support. Strong fit for Investigative + Conventional profiles with close reading habits.
Prior art searching is a literature review held to a legal standard, where a claim is read word by word. The break is that novelty matters more than scientific interest.
A short prior art search on an invention in your field: search strategy, five relevant documents, and your reasoned view on novelty.
prior art search, freedom to operate, claim drafting, state of the art, EPO, PCT, USPTO, CPC classification, patent landscaping
Ask a patent engineer in a firm or an IP department how the qualifying exams work, and what the job contains before qualification.
Find a patent close to your subject on Espacenet, read claim 1, and write what it covers and what it leaves open.
Role deep dive 3: Data Scientist /
Bioinformatician
Data Scientist / Bioinformatician — 83% match in the Biotech · Pharma · AI · Digital health. Turns complex datasets into usable evidence. Strong fit for Investigative + Conventional profiles with rigorous analytical habits.
This is the closest match to your daily practice, with one shift: the code has to be reviewed, versioned and picked up by someone else, and the question comes from a business team rather than from you.
One clean public repository: a readable notebook and a README stating the question, the data, the method and the limitation. Hiring managers here read code before the CV.
Python, R, pipeline, reproducibility, versioning, feature engineering, cross-validation, deployment, documentation
Ask a data scientist in industry how much of the week is data cleaning, and how the team decides a model is good enough to ship.
Take one analysis from your thesis, rewrite it as a clean repository with a one-page README, and publish it.
Role deep dive 4: R&D Engineer / Industry
Research Scientist
R&D Engineer / Industry Research Scientist — 83% match in the Large companies · Mid-market firms · Private labs. Applies research methods inside an organization. Strong fit for Investigative + Realistic profiles with rigor and steady delivery habits.
The most direct technical continuation, with two breaks: the objective is set by the product, and cost and deadline become scientific criteria in their own right.
A project where a material constraint — budget, instrument access, bench time — forced you to change method without losing validity.
product development, scale-up, design of experiments, requirements specification, validation, TRL, prototyping, industrialization
Ask an industry R&D engineer what separates a good experiment from a useful one in their company, and how a project gets killed.
Rewrite one thesis chapter as a requirements document: objective, constraint, acceptance criterion, result. The vocabulary shift does the work.
Role deep dive 5: Technical Trainer /
Professional Education Specialist
Technical Trainer / Professional Education Specialist — 83% match in the Continuing education · Enterprise learning · E-learning. Turns complex expertise into learning experiences. Strong fit for Social + Investigative profiles with collaborative communication strengths.
You have taught, supervised and made hard ideas land with people in a hurry. Professional training pays for that skill directly, with a demand for immediate usefulness.
A two-hour module you can deliver: learning objective, run of show, exercise, assessment method. Concrete and testable.
instructional design, learning objectives, module, facilitation, assessment, e-learning, continuing education, accreditation
Talk to an independent or in-house trainer about how they set rates and how they demonstrate that a module worked.
Design the outline of your two-hour module and deliver it once, free, to a real audience. The feedback is worth an interview.
30-day execution plan
The report should end in a simple sequence: clarify your positioning, test the market, then apply with the right vocabulary.
Days 1-3: pick at most two role families from the recommendations above.
Days 4-10: run five exploratory conversations and write down the recurring keywords.
Days 11-17: rewrite CV, LinkedIn, and pitch around your most transferable evidence.
Days 18-24: send ten targeted applications with a personalized outreach message.
Days 25-30: review the responses, drop the weaker track, and double down on the one generating conversations.