SandboxAQ

Scientist

• Own the scientific charter and technical roadmap for the Magnets vertical
• Oversee the translation of generative design outputs into a robust IP portfolio
• Build, lead, and mentor a multidisciplinary team of research scientists
• Specify and prioritize the magnetism-aware LQM, data generation, and multi-scale modeling capabilities required from the AISim platform
• Lead scientific engagement with national lab and industrial partners
• Architect the feedback loops between computational modeling and experimental lab validation
• Work closely with the commercial team to identify buyers for IP and structure agreements
• Author external scientific narratives for updates, publications, conferences, and investors

Staff Computational Scientist, Magnetic Materials

AI Engineer

• Bring novel ideas and the content of scientific papers into high-performing and robust scientific code.
• Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into large-scale simulation frameworks.
• Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage.

ML Research Engineer, AI for Life Sciences

• Bring novel ideas and the content of scientific papers into high-performing and robust scientific code.
• Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into our large-scale simulation frameworks.
• Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage.

Research Scientist

• Conduct advanced simulations using DFT, MD, enhanced sampling methods, and ML-based approaches.
• Model surface reactions, interfacial degradation mechanisms, and electrochemical processes.
• Develop and deploy computational workflows for high-throughput materials screening, reaction modeling, and materials optimization.
• Lead high-fidelity data generation campaigns.

Senior Research Scientist, Battery Materials Simulation

• Conduct advanced simulations using DFT and MD for solid-state materials, with a focus on predicting properties for solid-state electrolytes and interfacial degradation reactions.
• Employ data-driven approaches to analyze large datasets derived from computational simulations and experiments to uncover new insights into materials behavior.
• Conduct high-fidelity data generation campaigns and develop ML force fields for solid-state materials.
• Guide and scope projects with clear deliverables alongside agile teams.
• Collaborate closely with multi-disciplinary teams to independently prototype and scale cutting-edge, impactful materials design solutions.
• Generate and evaluate hypotheses to assist design decisions and influence project direction by developing and deploying computational methods and workflows.
• Effectively present and communicate research findings through scientific talks, blog posts, client-oriented presentations, and peer-reviewed publications.

Research Scientist, Battery Materials Simulation

Controller

• Help manage the monthly, quarterly, and year-end close processes, ensuring timelines are met and issues are proactively identified and resolved.
• Lead the build-out of accounting and reporting processes needed to support government-funded and cost-reimbursable work, including developing frameworks for project costing, indirect rate calculations, and identifying allowable vs. unallowable costs.
• Develop processes to track, reconcile, and report costs in a manner that is supportable under government audit and reimbursement requirements including tracking and reviewing the accumulation of direct and indirect costs.
• Help document and operationalize processes so controls are not only designed appropriately but also executed consistently.
• Partner with internal and external stakeholders to prepare for financial audits, government audits, and any future Single Audit / Yellow Book-related requirements if applicable.
• Partner with Finance leadership to assess process gaps and lead the development of documentation, policies, and operating procedures needed to remediate those gaps in advance of new government awards or reporting requirements.
• Partner with program, operations, legal, and external advisors on government accounting considerations, reporting expectations, and implementation needs.
• Drive process improvement and automation initiatives to improve scalability, control, and reporting quality.
• Help ensure the finance organization can support a high-growth company with increasing complexity while maintaining a practical, business-oriented approach.

Assistant Controller, Government Accounting – Compliance

General

• Own the scientific charter and technical roadmap for the Magnets vertical, including phase stability, magnetocrystalline anisotropy, finite-temperature coercivity, and microstructure engineering across Fe- and Co-based intermetallic systems with U.S.-accessible alloying elements.
• IP Engine Management: Oversee the translation of generative design outputs into a robust IP portfolio, ensuring the team owns the most valuable "white space" in substrate chemistry and structural design.
• Build, lead, and mentor a multidisciplinary team of research scientists, computational/ML scientists, and postdocs; set the scientific bar, run technical reviews, and develop talent toward NewCo readiness.
• Specify and prioritize the magnetism-aware LQM, datageneration, and multi-scale modeling capabilities required from the AISim platform; serve as the senior scientific counterpart to Platform Engineering and DataGen Research for this vertical.
• Lead scientific engagement with national lab and industrial partners (e.g., NHMFL, domestic magnet producers, ASML, defense primes), translating partner constraints into well-posed scientific problems and delivering partner-grade results.
• Architect the feedback loops between computational modeling and experimental lab validation to accelerate the Design-Build-Test-Learn (DBTL) cycle.
• Work closely with the commercial team to identify buyers for our novel IP, structuring high-value licensing agreements and co-development partnerships.
• Author the external scientific narrative of the vertical for quarterly updates, peer-reviewed publications, conferences, and prospective NewCo investors; protect scientific rigor and IP integrity throughout.

Chief Scientist, Magnets

Technical Recruiter

• Source World-Class Frontier Tech Talent: Architect and execute sophisticated sourcing strategies to identify and engage top-tier passive talent across AI, quantum computing, cybersecurity, and life sciences.
• Evangelize the SandboxAQ Mission: Serve as a compelling storyteller and successfully articulate our complex technical vision, culture, and long-term trajectory to high-caliber candidates who may not be actively looking for a new role.
• Manage & Influence High-Expectation Stakeholders: Build deep, trust-based partnerships with demanding hiring managers and executive stakeholders.
• Deploy Novel Identification & Mapping Techniques: Utilize advanced open-source intelligence and alternative data platforms to build comprehensive market maps.
• Optimize Candidate Experience as a Competitive Advantage: Ensure every candidate leaves with a stellar impression of SandboxAQ.

Technical Sourcer

Financial Planning and Analysis

• Partner with Business Unit leaders, Operations, GTM, Accounting, and Legal to support decision making and translate strategic priorities, resource needs, customer commitments and program milestones into annual operational plans, detailed budgets, revenue commitments and financial forecasts.
• Day-to-day execution of core FP&A processes, including rolling forecasts, budget vs. actual reporting, annual and long-range planning.
• Lead program-level financial reporting across complex deep technology programs and customer engagements.
• Build and maintain scalable financial models, dashboards, and reporting packages that provide visibility into revenue, operating expenses, margin, headcount, and program performance.
• Strengthen FP&A processes, controls, and operating cadences in a high-growth environment, including forecast governance, reporting standards, and automation.

FP&A Manager

• Implement, experiment with, and refine deep learning models for protein-ligand co-folding and structure prediction
• Design and execute systematic evaluation pipelines to measure model performance against state-of-the-art methods and internal benchmarks
• Collaborate with senior scientists and engineers to integrate validated models into production-ready drug discovery workflows
• Employ computational and data analysis techniques to generate insights from structural and sequence datasets
• Present research progress through internal scientific talks, technical write-ups, and contributions to peer-reviewed publications
• Work closely with multidisciplinary teams to prototype and scale impactful solutions

ML Research Scientist, Co-Folding and Affinity

Technical Program Manager

• Own the catalysis validation program plan end-to-end: campaign sequencing, partner SOWs, sample logistics, data ingestion timelines, and milestone tracking
• Manage external validation partners including contracting cadence and deliverable acceptance
• Coordinate internal hand-offs across Research Scientists and Computational/ML Scientists
• Operationalize the design-test-make-deploy pipeline for this vertical
• Drive risk, schedule, and resource trade-offs with the Vertical Lead

Technical Program Manager, Catalysis

• Lead the translation of reaction energetics derived from atomistic simulations and machine learning potentials into process-scale predictions.
• Own the design and execution of microkinetic and reactor-level modeling workflows for industrially relevant catalytic chemistries.
• Connect atomistic simulation outputs to activity, selectivity, and catalyst lifetime predictions.
• Partner with industrial validation partners to test and refine models against real-world data.
• Mentor junior scientists and shape the technical roadmap for microkinetic capability within SandboxAQ.

Staff Research Scientist, Catalyst Simulation

Clinical Research

• Own end-to-end execution of AQMed's clinical study portfolio, from feasibility through pivotal and across the US, Europe, and Asia.
• Develop and maintain clinical study plans, protocols, budgets, agreements, timelines; proactively identify and resolve threats to enrollment, data quality, and regulatory timelines.
• Lead site identification, qualification, initiation, monitoring, and close-out across multi-center, multi-geography studies.
• Serve as the primary operational owner of all IRB/ Ethics Committee submissions, amendments, and ongoing reporting requirements.
• Select, onboard, and manage external clinical consultants and/or CRO partners; hold them to high standards of quality, speed, and accountability.
• Define clear scopes of work, success metrics, and escalation paths for all external clinical resources.
• Build and sustain trusted relationships with clinical investigators, coordinators, and hospital administration at each study site.
• Drive enrollment with creativity and urgency; designing site-specific strategies, troubleshooting bottlenecks, and escalating risks early.
• Collaborate with Product, Data Science, and Engineering to ensure study designs generate data that is both clinically meaningful, actionable and useful.

Manager of Clinical Research

Director

• Develop and help execute SandboxAQ’s corporate development strategy, including identifying, prioritizing, and evaluating acquisition, investment, and strategic partnership opportunities aligned to company goals.
• Lead end-to-end transaction and partnership processes, from opportunity sourcing and market mapping through diligence, business case development, negotiation, internal alignment, and execution.
• Build the strategic and financial narratives that support executive decision-making, including market analysis, competitive intelligence, business model evaluation, partnership theses, and financial modeling.
• Partner with the COO and senior leadership to assess where SandboxAQ should buy, build, partner, or invest in order to accelerate growth and sharpen market position.
• Own and manage relationships with selected strategic partners, including major technology, ecosystem, channel, and commercial partners, and help structure partnerships that create measurable business impact.
• Work cross-functionally with product, research and development, engineering, and business teams to translate technical capabilities into compelling external partnership and growth opportunities.

Director of Corporate Development – Strategic Partner Management

• Develop large-scale datasets and machine-learned force fields or potentials for materials discovery.
• Deploy and support the design and implementation of computational workflows simulating the reactivity and dynamics of catalytic materials across atomic, mesoscale, and continuum scales.
• Collaborate with platform, machine learning, and software engineering teams to continuously improve the efficiency and performance of discovery workflows.
• Support client engagements focused on the research, development, discovery, and optimization of novel heterogeneous catalyst materials.
• Prepare and deliver high-impact reports, presentations, and publications to communicate research findings to internal, academic, and industry partners.
• Mentor junior scientists and interns in catalysis, reaction engineering, and computational methods, championing best research and software practices.