Scientific & Technical Intelligence Manager (Pharma)
M1407
This job doesn’t expose everyone equally
⚡ AI hits junior profiles the hardest.
Future work distribution
Human only
Collaboration
AI only
This chart shows how the job's tasks split between humans and AI. "AI only" means a task AI can handle without a human — not a job removed: the role recomposes and the human refocuses on judgment, relationships and oversight.
AI Position of the Job
AI Impact on this job
You retain a central role in the interpretation and contextualization of scientific information; your profession remains only weakly exposed to AI. AI handles the collection and sorting of data and provides you with summaries, while strategic choices and the detailed assessment of impacts remain predominantly human.
Your profession remains only weakly exposed to AI, which automates preliminary data collection and analysis while strategic expertise remains human.
What will change
- Collecting and aggregating publications, patents and industry sources, because tools crawl many databases, extract metadata and organize information quickly.
- Detecting and mapping trends and emerging signals, because models identify patterns and correlations in large corpora that a human cannot analyze alone.
- Producing preliminary assessments of technological impact by generating comparative scenarios and actionable indicators for your subsequent analyses.
What AI will improve
- Providing targeted syntheses and executive summaries, which reduce drafting time and allow you to focus your effort on interpretation and recommendation.
- Generating competitive intelligence dashboards and personalized alerts, facilitating the prioritization of topics and the preparation of strategic meetings.
- Simulating adoption trajectories and impact scenarios, offering comparative elements that you adjust according to regulatory and operational constraints.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Scientific & Technical Intelligence Manager (Pharma), AI can already do 26% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Develop mastery of AI and LLM tools for extraction, synthesis, and content generation (LLM + specialized tools) to save time while ensuring relevance.
- Strengthen project management and internal communication skills to frame results and coordinate teams; leverage AI and collaboration platforms.
- Deepening regulatory and ethical knowledge related to innovation; use frameworks and checklists integrating AI (LLM + specialized tools) to ensure compliance and traceability.
3-year outlook
In 3 years, AI will dominate automatable tasks. Teams will focus more on interpretation, framing, and disseminating results; work pace will accelerate, and profiles will need to evolve toward high-value-added and governance roles. The risk for teams is role restructuring and the need for continuous training.
AI tools used in this profession
Solutions deployed in production by professionals in this field
A general LLM assistant is already within reach
Before any specialized software, a latest-generation LLM assistant (Claude, ChatGPT, Mistral Le Chat, Gemini…) is available for this profession. Versatile, it helps draft, summarize, translate, structure or explore ideas. We treat it as a common baseline shared by almost every profession, distinct from specialized tools.
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Tasks most exposed to AI alone
4Tasks most augmented by AI
7Your role isn't an average.
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Frequently Asked Questions
No, this role is not destined to disappear but rather to evolve. AI can automate certain aspects of information collection and sorting, but your value lies in interpretation, strategic synthesis, and guiding intelligence activities to support R&D decisions and compliance. You will also need to enhance your ability to frame topics, communicate clearly, and collaborate with data and regulatory teams.
The general trend is a reduction in positions dedicated to raw data collection and sorting, replaced by more analytical and strategy-oriented profiles. The exact number depends on the organization's size and maturity in intelligence activities; in a pharmaceutical SME, 1 to 2 people may suffice, while a large group might require 3 to 5 dedicated roles for strategic intelligence and scientific intelligence. The shift focuses more on strengthening synthesis, governance, and decision support skills than on the sheer number of positions.
To adapt, develop skills in data analysis and AI tools for intelligence, while deepening your regulatory and scientific knowledge. Focus on strategic intelligence methods, project management, and the ability to communicate insights to non-specialist decision-makers. Collaborate closely with R&D and compliance teams, and seek opportunities to formalize processes and governance around intelligence activities.