Bioptimus

Foundation models for biology
Last updated:
January 24, 2026
Company details
HQ
HEADCOUNT
25-99
ORG TYPE
Startup
SECTOR
Healthcare & Life Sciences
About the company
Bioptimus is an AI-first biotech company building foundation models for biology, including a pathology model (H-Optimus) and a broader multi-scale, multi-modal biology model (M-Optimus). The company launched publicly with a $35M seed round in February 2024 and later announced a $76M funding milestone on January 14, 2025. Bioptimus positions the work around integrating biological data across scales, from molecules to tissues, to support research and innovation in biomedicine.
Locations and presence
Bioptimus lists Paris as headquarters and hires across Paris plus other European hubs like London and Berlin, with some EU-remote options. The company also advertises US hiring across several cities with remote options in the US for some roles.
Palpable Score
43.6
/ 100
Bioptimus looks like a strong-fit employer for specialist candidates, but current public hiring is not friendly to true entry-level applicants. The company publishes structured interview steps for current roles, yet public candidate feedback includes at least one report of heavy unpaid assessment before any human conversation, and there’s little outcome evidence for early-career growth.
Pillar 1: Early-career access

Score

6.5
/ 20
  • The company’s live roles on the public job board are mid-level or specialist, such as AI Technical Operations Manager (2–5 years) and Workplace Operations Specialist (4–6 years).
  • Bioptimus requires advanced credentials for some customer-facing roles, such as the Scientific Engagement Manager role requiring a PhD in a relevant field.
  • The company has previously advertised a Research Intern role externally, but internships are not a visible recurring pathway on the current first-party openings list.
Pillar 2: Hiring fairness and transparency

Score

11.8
/ 20
  • The company lays out a staged process in current postings, including a 30-minute screening call, defined interview blocks, and time-boxed sessions like a 60-minute case study.
  • Bioptimus includes role-relevant assessments (for example an agentic-system take-home for the AI Technical Operations Manager role, with a 1-hour presentation discussion), which is closer to job reality than generic puzzles.
  • The company has at least one public interview report describing 6.5 hours of unpaid work before speaking to anyone and delayed communication, which is a fairness red flag even if the current posted process is more transparent.
Pillar 3: Learning and support

Score

9.5
/ 20
  • The company includes operational onboarding logistics in the Workplace Operations Specialist scope (Day-1 schedules, workstation setup, welcome packs), which suggests some intentionality about new-hire experience.
  • Bioptimus describes cross-functional exposure in roles like AI Technical Operations Manager, partnering with Finance, HR, Legal, Marketing, Product, and R&D to map workflows and deploy automations.
  • The company does not publish concrete coaching mechanics that matter to early-career hires (buddying, structured ramp plans, review cadence), and the live roles are not junior enough to validate hands-on mentorship in practice.
Pillar 4: Pay fairness and stability

Score

9.5
/ 20
  • The company repeatedly uses “competitive salary and equity package” language without publishing ranges on the current Greenhouse postings.
  • Bioptimus mentions flexible work arrangements and remote options for some roles, which can support stability if paired with predictable compensation practices.
  • The company does not provide early-career-relevant pay signals like junior bands, internship pay, or benefits detail in the first-party job ads that are currently live.
Pillar 5: Early-career outcomes

Score

6.3
/ 20
  • The company has very limited publicly accessible employee outcome data, with low volume on reviews and interviews for a reliable early-career picture.
  • Bioptimus has raised substantial funding and is hiring across functions, but the company does not publish early-career outcomes like intern-to-offer conversion, promotion timelines, or retention metrics.
  • The company’s LinkedIn presence supports the current size band and hiring activity, but LinkedIn alone does not show whether early-career hires are being promoted or staying 12–24 months.
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