Downstream Bioprocess Modeler

Downstream Bioprocess Modeler

As a Downstream Bioprocess Modeler, you will develop the models that make models for simulating purification and separation - chromatography, filtration, and the rest of the downstream train. You will be responsible for new model development from ideation through validation and have the opportunity to work on hard, high-impact problems at the intersection of science and modeling. You will work with a team of innovative PhD modelers and practitioners as well as software engineers who will translate your models into easy-to-use software.

This is an opportunity to join an ambitious team building a product that matters. At Ark, you'll have the chance to build foundational technology that will make the world better. We move fast, we have a high bar for excellence, and we ship the best.

• Own new downstream model development from ideation through validation, including surveying relevant literature, deciding on modeling directions, validating against experimental data, and writing clean, performant scientific software code.
• Develop and deploy robust mechanistic models of chromatography (e.g., general rate, lumped kinetic, and transport-dispersive models; multi-component adsorption isotherms; ion-exchange, HIC, affinity, and mixed-mode) and other downstream unit operations such as filtration, UF/DF.
• Build hybrid and ML-augmented models that combine first-principles transport and thermodynamics with data-driven components to improve predictivity, speed, and generalization.
• Tackle problems in numerical simulation of dynamical systems, parameter estimation, uncertainty quantification, process optimization/control, and connecting downstream performance to critical quality attributes (CQAs).

• Ph.D. in chemical engineering, separations science, applied mathematics, or other relevant fields
• 0–5 years of work experience
• Experience developing downstream models
• Expertise solving complex partial differential equations, differential-algebraic (DAE) systems, or coupled transport–reaction problems
• Proficiency in Python or a similar scientific programming language
• Experience with hybrid modeling and machine learning a plus
• Familiarity with numerical optimization and nonlinear programming solvers a plus
• Team player who is willing to work on multiple parts of the codebase and give constructive feedback for product, UI/UX, and customer workflows

• Cambridge, MA (blocks from Harvard Square)
• Benefits include health, dental, and vision coverage, holiday and vacation time, 401k matching, and stock options

Ark Biotech is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.