Orakl’s operational engine relies on a fast-growing platform that cultures, expands, freezes, and screens hundreds of patient-derived organoids (PDOs). As the Process Optimisation Intern, you will work with our laboratory, operations, and data teams to design and test new strategies that strengthen the robustness, efficiency, and scalability of this platform. Your role is to analyse our current workflows end-to-end and propose actionable improvements that enhance throughput, resource allocation, and cross-team coordination.

You will address practical and strategic questions essential to supporting Orakl’s rapid growth: how to streamline the duplication and expansion of PDOs; how to model the optimal number of lines that must be thawed or expanded at a given time; how to incorporate fresh samples into planning constraints; how to increase weekly screening capacity; and how to maintain high-quality traceability without burdening teams. You will work closely with wet-lab operators, the planning team, and data scientists to design prototypes, test ideas, and translate your findings into operational improvements.

Your Missions

• Map, analyse, and refine current lab workflows (receiving fresh samples, organoid generation, duplication cycles, freezing, drug-screening timelines).

• Quantify and recommend approaches to increase throughput and data generation

• Present analyses and recommendations regularly to scientific, operational, and management teams.

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.