Operations Engineering Intern

At
Orakl Oncology
, we are accelerating the development of oncology treatments. Today, fewer than 5% of new cancer drugs succeed in clinical trials. Clearly, new methods are needed. We combine
cutting-edge biology
and
AI
to build the next generation of insight platforms with the world's largest cohort of patient tumor avatars. These avatars fuel our
AI-powered predictive engine
, helping to anticipate clinical trial outcomes, validate therapies, and uncover new drug candidates. By generating multimodal, real-world data, we deliver insights that consistently outperform existing solutions.

Our mission is simple yet ambitious: to
bring more effective treatments to patients
who need them - and to make drug development smarter, faster, and more personalized. We collaborate with top hospitals, research institutes, and pharmaceutical companies worldwide. Backed by leading investors, we are a
fast-growing, mission-driven startup
at the intersection of science and technology.

Orakl's develops a rapidly scaling operational platform that cultures, expands, freezes, and screens hundreds of patient-derived organoids (PDOs). As a
Platform Engineering Intern
, you will work
hand-in-hand with the Orakl Oncology CTO
on problems that sit at the heart of the company's execution: designing, modeling, and optimizing the systems that govern how organoids move through the organization.

You will take ownership of analyzing Orakl's end-to-end organoid operations as a production system—identifying bottlenecks, defining performance metrics, and translating biological workflows into
quantitative, optimizable processes
. Your work will directly inform how capacity is planned, how resources are allocated, and how the platform scales reliably as demand increases.

You will address high-impact operational questions with real constraints: how to optimize duplication and expansion strategies under limited lab capacity; how to model the optimal number of organoid lines to thaw, expand, or freeze at any given time; how to integrate stochastic arrivals of fresh patient samples into deterministic planning; how to increase weekly screening throughput without sacrificing data quality; and how to maintain rigorous traceability while minimizing operational overhead. You will collaborate closely with wet-lab operators, operations planners, and data scientists, turning analysis into deployable process changes.

Your Missions

• Partner directly with the CTO to map, formalize, and redesign Orakl's core operational workflows (sample intake, organoid generation, duplication cycles, freezing, and drug-screening pipelines).
• Build quantitative models and analyses to evaluate throughput, capacity, utilization, and trade-offs across the organoid platform.
• Identify bottlenecks and failure modes, and propose concrete operational strategies to improve scalability, robustness, and efficiency.
• Prototype, test, and iterate on workflow and planning improvements in close collaboration with laboratory and operations teams.
• Communicate results clearly and rigorously to scientific, operational, and leadership stakeholders, supporting data-driven decisions at the company level.

We are looking for a curious, dynamic, creative and rigorous intern to join us. There is no formal training for the job we're offering : it's new. We imagine that candidates will be scientists interested in industry, engineers curious about biology labs, business students with a passion for the life sciences, or anybody else interested in scaling lab operations.

Needs to Have

• BA, BSc, MSc, MEng or equivalent in biomedical engineering, life sciences, data science, operations research, industrial engineering, or a related field.
• Strong analytical skills and an interest in modelling operational systems.
• Ability to structure complex problems, synthesize findings, and propose actionable solutions.
• Curiosity, adaptability, and comfort working closely with wet-lab teams.
• Excellent communication skills and proficiency in English.
• Self-driven, autonomous person who can manage tasks independently.

Nice-to-Haves

• Experience with laboratory workflows, biotech operations, or experimental planning.
• Familiarity with coding (Python/R/SQL) or data-driven process modelling.
• Interest in the intersection of biology, operations, and technology.

HR Call (15 minutes call)
 – An initial discussion to better understand your background, experiences, and motivations.

Technical Interview (45 minutes call)
 – A deep dive into your technical skills and expertise relevant to the role.

Founder Interview:
 As final step of our recruitment process, you will meet the founders of Orakl Oncology in person at our office. This meeting is an opportunity for the founders to assess cultural fit and ensure alignment with our company values.