Enable modeling of real-world systems—including biological and biochemical processes—within emerging paradigms such as quantum many-body systems and learning-based approaches.
We are looking for an Applied Science Engineer with a background in biochemistry, biophysics, or molecular biology to contribute to the development of next-generation computational frameworks for microscopic systems. Our Applied Science Group works alongside the computation team to enable modeling of real-world systems—including biological and biochemical processes—within emerging paradigms such as quantum many-body systems and learning-based approaches.
• Strong background in Biochemistry, Biophysics, Molecular Biology, or related fields • Ability to understand biological systems in terms of interactions, pathways, and functional behavior • Interest in translating complex biological processes into simplified, modelable representations • Looking forward to working with computational teams on non-traditional modeling approaches (e.g., quantum systems, interaction-based models) • Ability to reason about systems dynamically (e.g., regulation, signaling, coupling), not just structurally
Background • Biochemistry, Biophysics, Molecular Biology, or related disciplines • Familiarity with molecular interactions, cellular processes, or biochemical pathways Experience • Experience working with biological systems (e.g., proteins, gene regulation, signaling pathways) • Ability to read and interpret literature with a focus on mechanisms and interactions • Experience analyzing experimental data or biological system behavior • Exposure to interdisciplinary work involving modeling, physics, or computational systems
• Basic programming or data analysis experience (Python or similar) • Conceptual familiarity with: o interaction networks (e.g., protein interactions, gene regulation) o energy or constraint-based representations of biological systems • Exposure to computational biology, biophysical modeling, or simulation workflows
1. Technical Participation You will actively participate in the technical pipeline that connects biological systems to computational frameworks. This includes: • System Abstraction o Analyze biological or biochemical systems and identify key interactions, pathways, and constraints o Translate complex biological processes into structured representations (e.g., interaction networks, reduced models) • Model Preparation Interface o Work with computation engineers to express biological systems in forms compatible with: quantum many-body representations learning-based or algorithmic models o Help define what biological structure or function must be preserved under abstraction • Simulation Support & Iteration o Participate in refining system representations based on computational feedback o Adjust modeling assumptions to better reflect biological behavior • Result Interpretation o Interpret computational outputs in terms of biological function, behavior, or system response o Identify whether modeled outcomes align with known biological mechanisms ________________________________________ 2. Role-Specific Responsibilities Scientific Validation • Evaluate whether modeled systems and outputs remain biologically and biochemically meaningful • Identify inconsistencies with known biological processes (e.g., unrealistic interactions, invalid dynamics) • Provide domain-informed feedback to improve model reliability
• Interface with external labs or collaborators working on biological systems • Translate experimental setups or biological questions into structured modeling inputs • Ensure alignment between real biological systems and computational representations
All Applied Science Engineers participate in the shared technical modeling workflow. This role additionally specializes in: • biological and biochemical system understanding (dynamic, functional systems) • validation of biological plausibility in models and outputs • external collaboration with biology-focused labs or partners