Overview
Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast‑growing start‑up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world‑class team of scientists and engineers is redefining the frontiers of AI and life sciences.
Responsibilities

Research & Innovation: Collaborate with our research team to identify, acquire, and/or generate new datasets and data modalities for integration into our models. Contribute to publications, patents, and case studies showcasing novel applications in pharma R&D.
Bridge Research & Product: Translate biopharma research questions into actionable machine‑learning objectives and tasks. Engage closely with product, business, and research teams to define feature priorities.
Thought Leadership: Represent Bioptimus at conferences, workshops, and client meetings, demonstrating domain expertise and the potential of AI‑driven drug development.
Stakeholder Engagement: Serve as a trusted scientific partner during external technical discussions: design proof‑of‑concept studies, address domain‑specific queries, and deliver high‑quality presentations that highlight the value of Bioptimus’ solutions. Provide ongoing training and support to partners on how to interpret and effectively apply our foundation models into R&D pipelines.

Qualifications

Computational Biology:

Extensive experience with end‑to‑end genomics and multi‑omics datasets (transcriptomics, single‑cell, proteomics, imaging, etc.), from dataset generation and QC to analysis and interpretation.
Demonstrated expertise applying machine‑learning to computational biology, including publications in high‑impact journals (Nature, Science, Cell, Nucleic Acids Research, Genome Biology) and/or top conferences (ISMB, RECOMB, NeurIPS, ICLR, ICML).
Comfortable working in cloud computing environments and with version‑control systems.


BioPharma R&D Experience:

Deep understanding of biopharma R&D use‑cases, challenges, tools, and processes.
Ability to break down high‑level biopharma use‑cases into actionable recommendations for the research & product team (e.g., evaluation metrics, data annotations, specific loss functions).


Exceptional Communication Skills: Able to engage both technical and non‑technical stakeholders and craft compelling presentations and scientific narratives.
Educational Background: PhD or equivalent experience in Computational Biology, Bioinformatics, or a related field.
Additional strength criteria (optional but desirable):

Single‑cell & spatial expertise.
Publications & thought leadership in computational biology and drug discovery.
Project leadership experience, managing complex projects and delivering results.
Entrepreneurial mindset, experience in a startup or innovative environment.
Stakeholder management, adept at matrixed or consulting activities.



Candidate Journey

Screening: Review of application to assess alignment with required proficiencies.
Technical Assessment: 1.5‑hour timed R/Python exercise on a dedicated platform to assess proficiency.
Interview Process:

Hiring Manager Interview: Discuss background, motivation, and technical skills.
Panel Interview: Technical discussion, presentation of past research or a relevant project, and paper review.
Final Interview: Discussion with a senior leader about broader motivations and alignment with company vision.


Offer: Final decision communicated; contingent on reference check.
Onboarding: Initiated once offer accepted and signed.

Unique Opportunity

Shape the future of biology and AI by contributing to groundbreaking work.
A collaborative and mission‑driven work environment.
Globally competitive salary and equity package.
Flexible work arrangements, including remote options.
Opportunities for professional growth and leadership development.

Equal Employment Opportunity
We believe that the unique contributions of all Bioptimists create our success. To ensure that our culture continues to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. We take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.
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