Aqemia

Physics-based AI drug discovery
Last updated:
January 27, 2026
Company details
HQ
HEADCOUNT
25-99
ORG TYPE
Startup
SECTOR
Healthcare & Life Sciences
About the company
Aqemia is a deep-tech drug discovery company combining physics-based modelling and generative AI to design small-molecule drug candidates in silico. Aqemia recruits across software engineering, AI research, computational chemistry, and drug discovery platform roles. Public job pages describe two hubs, Paris and London, with hybrid working on many roles. Aqemia also positions the company around major pharma collaborations and a sizable funding base.
Locations and presence
Aqemia is headquartered in Paris with a second office presence in London (King’s Cross area). Public job listings frequently state “Hybrid” and reference up to 2 remote days per week depending on role.
Palpable Score
44.0
/ 100
Aqemia is currently hiring almost entirely for experienced roles, so the entry-level door is narrow unless you find an internship or an unusually junior-leaning opening off-cycle. The company’s candidate experience and early-career outcomes are constrained by repeated public signals around heavy interview take-homes and poor internal progression sentiment.
Pillar 1: Early-career access

Score

5.8
/ 20
  • The company’s live jobs list is dominated by experienced roles like SRE Platform Engineer (4+ years) and Principal Computational Chemist (10+ years).
  • Aqemia does not currently list internships, graduate roles, apprenticeships, or “Junior/Associate” titles on the main Lever careers page.
  • The company has run research internship hiring publicly in the past, but those opportunities are not part of the current core hiring funnel.
Pillar 2: Hiring fairness and transparency

Score

10.8
/ 20
  • The company has a consistent multi-stage interview pattern in candidate reports (HR screen, manager interview, technical stage, and sometimes CEO involvement).
  • Aqemia has candidate reports describing large, time-heavy business cases or technical tasks after initial screening, including complaints about misalignment and wasted effort.
  • The company discloses use of AI tools to support parts of recruitment on Lever postings, but public job pages do not set clear time boxes for take-homes or define evaluation criteria.
Pillar 3: Learning and support

Score

9.8
/ 20
  • The company has at least one detailed employee review saying that, for fresh graduates, some teams offer supportive managers and real learning.
  • Aqemia lists mentoring responsibilities inside senior roles (for example Principal Computational Chemist explicitly mentoring junior and mid-level researchers).
  • The company has strong negative employee sentiment in public reviews around leadership, burnout, and inconsistent performance management, which is a risk factor for early-career support quality.
Pillar 4: Pay fairness and stability

Score

11.8
/ 20
  • The company has public pay signals via third-party datasets, including intern salary submissions and role-level compensation benchmarks.
  • Aqemia does not publish salary ranges on its primary job descriptions, so early-career candidates have limited ability to benchmark fairness before interviews.
  • The company references practical support items in listings such as relocation support and French lessons for some hires, but benefits are not presented as a consistent package across roles.
Pillar 5: Early-career outcomes

Score

5.8
/ 20
  • The company has a weak independent outcomes snapshot on Glassdoor, including low “would recommend” and negative themes around internal mobility and promotions.
  • Aqemia has multiple public reviews describing burnout, stagnant progression, and poor transparency, which are direct negative early-career outcome signals.
  • The company has limited public evidence of repeat junior cohorts, junior-to-mid promotion stories, or retention outcomes over 12–24 months beyond review-site anecdotes.
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