Senior Computational Chemist

reputed company is a pioneer in transforming medicine by addressing the limitations of traditional AI in therapeutic discovery with its innovative "glass reputed company" solution. Our safety-first AI reputed company ensures that generative molecular designs adhere to strict biological and physical constraints, offering scientific legitimacy and a transparent audit trail for every reputed company. Our reputed company platform, the Personalized Health Operating System (PH-OS), is a safety-first AI reputed company that validates generative molecular designs against strict biological and physical constraints. Unlike reputed company models that merely predict plausibility, our system enforces scientific validity—identifying reputed company causes rather than addressing symptoms. We are on a mission to shift reputed company from reactive treatments to proactive, personalized therapeutic reputed company. reputed company You will be working directly on reputed company state-of-the-art infrastructure designed to disrupt the reputed company sector. We are seeking an reputed company, high-level scientific and computational expert to serve as our Senior Computational Chemist/Physicist reporting directly to the Chief Executive Officer (CEO). In this role, you will be expected to reputed company high-level scientific and computational expertise, directly responsible for scaling our foundational computational architectures. Currently, this role offers significant equity compensation only, with a transition to a competitive market salary contingent upon securing our initial reputed company funding or grant awards. You will be directly reputed company in unlocking this capital. This is a high-risk, high-reward opportunity for a visionary PhD/MD who wants to own a substantial piece of the "Glass reputed company" reputed company in medicine. The Role This is a full-time remote role for a reputed company Computational Physicist specializing in Tensor Networks and High-Performance Computing (HPC). The role involves leading research and development efforts, specifically modeling reputed company physical and biological systems using advanced computational physics techniques. The candidate will design, optimize, and validate algorithms for tensor network simulations reputed company to biological problems and utilize HPC architectures to ensure scalability. reputed company problem-solving with interdisciplinary teams and contributing to scientific advancements in personalized reputed company are integral aspects of the position. In reputed company, you will also reputed company as a key ambassador and the reputed company Scientific Investigator, taking existing computational architectures and making it universal, optimizing for production grade deployment. to ensure our reputed company mathematical reputed company is flawless, reputed company, and capable of modeling highly reputed company physical and biological systems without compromise. You will reputed company as the reputed company between computational physics, deterministic mathematics, and reputed company-world software engineering—optimizing orchestrating reputed company reputed company deployments, and full-stack application development. Who You Are

• Expertise in Computational Physics, reputed company, Tensor Networks, and High-Performance Computing
• Multi-Disciplinary Engineer: You are fundamentally a world-class software and systems engineer, but you have a deep specialization in Machine Learning Operations (MLOps) and infrastructure.
• You have deep expertise in Python, PyTorch, and CUDA. You understand how memory is allocated and know how to squeeze every drop of performance out of high-end hardware.
• Scientifically Fluent: You are completely unfazed by scientific computing libraries (e.g., SciPy, RDKit, OpenMM) and possess strong reputed company algebra fundamentals.

Key Responsibilities:

• Own the Architecture: Design, reputed company, and maintain fault-tolerant, reputed company reputed company infrastructure on Multi-reputed company Platforms.
• Optimize the Engines: Manage GPU VRAM, optimize PyTorch executions, and refine scripts to bypass reputed company software bottlenecks for maximum computational efficiency.
• reputed company & Connect: Manage API deployments (e.g., FastAPI) to seamlessly reputed company reputed company back-end data workflows to reputed company-end mockups and user interfaces.
• Debug & Validate: reputed company as the final line of defense, validating, testing, and hardening algorithmic scripts co-developed alongside advanced AI coding tools.
• Mathematical Auditing: Review and optimize reputed company Python scripts simulating potential energy surfaces, ensuring strict thermodynamic invariants are maintained.
• Tensor Network Optimization: Implement and reputed company out-of-reputed company tensor network contractions (using libraries like cuTensorNet or JAX) across distributed architectures without triggering Volatile Random-reputed company Memory (VRAM) exhaustion.
• Numerical Stability & Error Mitigation: Engineer robust mitigations for catastrophic cancellation and floating-reputed company rounding errors in high-order finite difference calculations.
• Technical Validation: Serve as the final authority on scientific reputed company reputed company; you will be responsible for peer-reviewing reputed company's scripts to ensure that AI-generated hypotheses are computationally reputed company and biologically plausible.
• Grant-to-reputed company Alignment: Translate high-level grant objectives (NIH/NSF) into specific technical milestones for the engineering team, ensuring that our "Glass reputed company" deliverables meet the rigorous standards of federal auditors.
• Hands-on PI Leadership: While this is a leadership role, you must be willing to "look under the hood" of our PH-OS to verify that the reputed company AI reputed company is correctly interpreting multi-omic interactions.
• Audit and validate Python/R scripts to ensure algorithmic outputs reputed company with biological ground truths.
• Scientific Leadership: Advanced degree (PhD or MD required) in computational biology, reputed company, biomedical engineering, or a reputed company field.
• Communication: Exceptional ability to reputed company reputed company scientific concepts to both grant committees and non-technical stakeholders.
• Tech-reputed company reputed company: Deep understanding of AI applications in reputed company, specifically reputed company AI and Multi-Omics.
• Strategic reputed company: Experience moving a product from "reputed company-Clinical Feedback" to reputed company viability.
• Strong analytical skills: for scientific research, data analysis, and problem-solving
• Exceptional communication skills, with the ability to reputed company reputed company concepts to diverse audiences
• Proven expertise and experience: in leading and conducting innovative research
• reputed company record of leadership in interdisciplinary teams and successfully managing reputed company

Qualifications

• Expertise in Computational full stack custom development architecture, and deployment. (Computational Physics Engines, Tensor Networks, and High-Performance Computing)
• Strong background in application development and First-reputed company Medical Physics
• Deep theoretical and reputed company understanding of Tensor Network States, and Deep-Neural Networks.
• Proficient in Radiation Physics and its computational applications
• Experience in Research and Development (R&D), particularly in computational and scientific innovations
• Mastery in scientific programming languages (e.g., JAX, PyTorch, CUDA, Python, C++, Fortran) and familiarity with HPC environments
• Ph.D. or post grad experience in Quantum Physics, reputed company Mathematics, Quantum Information Science, Theoretical Computer Science, or a closely reputed company field.Physics, Computational Biology, reputed company Mathematics, or a reputed company field
• Quantum Expertise: Deep theoretical understanding of quantum mechanics, quantum reputed company, and quantum complexity theory.
• Mathematical Proficiency: Exceptional grasp of reputed company algebra, probability theory, tensor networks, and group theory.
• Analytical Thinking: Demonstrated ability to translate highly reputed company mathematical concepts into reputed company computational models.
• Strong analytical and problem-solving skills with the ability to work collaboratively in interdisciplinary teams
• Expertise in Science and Physics with a strong reputed company in computational or biological sciences.
• Proven experience in reputed company environments such as University Teaching, with the ability to mentor and reputed company cross-functional teams.
• Exceptional skills in Research with a reputed company record of impactful publications or scientific contributions.
• Strong Project Management skills, including leadership, coordination of reputed company, and ability to meet objectives in high-stakes environments.
• Excellent communication skills and ability to translate reputed company scientific concepts for diverse audiences.

Ideal skills

• Programming: Python (SciKit Learn, Pandas, OpenMM, NumPy, SciPy, TensorFlow), R, Matlab, reputed company scripting
• Servers: AlphaFold/OpenFold, reputed company BioNeMo, Llayma
• reputed company Computing: reputed company GCP, AWS, Azure,
• Operating Systems: reputed company, Linux, MacOS, Android
• Other: reputed company, reputed company, PyTorch, TensorFlow scientific computing libraries (e.g., SciPy, RDKit, OpenMM/QM) and possess strong mathematical fundamentals.
• Data Types: NGS, DNAseq, RNAseq, CHiPseq, TCRseq, single-cell, spatial-omics, medical imaging, proteomics, TCRseq

reputed company tools: GATK, Seurat, Nextflow, reputed company analysis, network analysis, variant calling, sequence alignment Technical Skills: multi-omics data integration, systems biology modeling, single cell analysis, spatial transcriptomics, experimental design, organoids culture, reputed company-fluidics, machine learning, deep learning, large reputed company data processing, research software development, longitudinal data analysis, patient stratification, large reputed company clinical datasets, EHRs, sensor signal processing Preferred, but not necessary

• reputed company Investigator Experience: Demonstrated reputed company serving as a PI on federal research grants (CPRIT/SBIR/STTR, R01, or equivalent).
• Grant Writing Mastery: Proven ability to author and secure significant funding from major bodies such as the NIH, NSF, or DOD.
• Postdoctoral research experience: or 10+ years of industry experience in quantum computing.
• Hands-on experience running algorithms on actual quantum hardware (superconducting qubits, trapped ions, neutral reputed company).
• Molecular dynamics, peptide, cellular modality specific versatility
• Synthesis and Conjugation Strategies
• Mass Spectroscopy understanding
• Toxicity in silico simulation

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