Data Science Intern (Fermentation Modelling & Soft Sensors)

Join our team as a Data Science Intern, where you'll work on a central project that you will own from start to finish. You will have the opportunity to build a soft sensor, model the organism, or design the next experiment, depending on your strengths and the needs of the plant. This is a unique opportunity to apply your skills in a real-world setting and make a meaningful impact in the field of fermentation biology and bioprocess engineering.

• Concevoir et mettre en œuvre un capteur logiciel pour estimer des paramètres non mesurables à partir de données mesurables.
• Développer un modèle cinétique de l'organisme, en l'ajustant à l'historique des courses, pour prédire le comportement d'une fermentation.
• Concevoir la prochaine expérience en utilisant un modèle du processus comme substitut, en choisissant séquentiellement les paramètres.
• Fast learner. Excited to dive into fermentation biology and bioprocess engineering
• Bonus points for: bioprocess or chemical engineering, state estimation and control theory (Kalman filters and friends), Bayesian methods, time-series at scale, a biology, physics or systems biology background, enough software engineering to ship what you build, previous startup experience
• You model from first principles. The instinct we’re screening for is reaching for the process before the algorithm
• You can talk to a process engineer. Explaining a result in terms of the process, to someone who knows the process better than you do, is half of this job
• You’ve met real data. Messy, small, expensive, gappy, with a sensor that was miscalibrated for three weeks in the middle
• Python, scientifically. The numerical and statistical stack, not just the ML one
• Mission driven. Rewriting how the world makes protein genuinely excites you
• Statistics, properly. Uncertainty, priors, mixed effects, experimental design. You should be able to say what your model doesn’t know