Computational Chemistry Software and Methods Developer

Remote, USA

SandboxAQ

SandboxAQ leverages the compound effects of AI and advanced computing to address some of the biggest challenges impacting society. SandboxAQ technologies include AI simulation, cryptography management for cybersecurity, and AI sensing for...

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Ready to join the AQ era?

SandboxAQ is solving challenging problems with AI + Quantum for positive impact. We partner with global leaders in government, academia, and the private sector to identify applications that would benefit from quantum-based applications to current and future commercial challenges. We engage with customers early and throughout the development process to improve market fit.

Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough AI + Quantum solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar.

We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM.

SandboxAQ’s AI Simulation team has a new opening for a methods developer in our Drug Discovery team. This person's responsibilities will be at the interface between software and next-generation methods development in quantum, AI, and physics-based methods like molecular dynamics (MD) and free energy perturbation (FEP). The scientist will be joining a seasoned multi-disciplinary group including drug hunters with an excellent track record in drug discovery, computational chemists, physicists, AI experts, and software engineers.

Key responsibilities

  • Develop computational solutions to address unmet drug discovery needs.
  • Work both independently and with the Simulation & Optimization development team to solve research questions for next-generation technologies in drug discovery.
  • Apply your expertise in small molecule or biologics modeling to drive methods development decisions.
  • Present findings and progress in MD, FEP, molecular docking, quantum, and AI methods to an interdisciplinary team and external collaborators.
  • Maintain and improve existing drug discovery methods and software.
  • Use best coding practices and planning tools to raise issues and resolve tickets.
  • Work in close collaboration with AI experts and cross-functional teams to prototype and scale cutting-edge, impactful drug design solutions.
  • This is an opportunity to directly contribute to the discovery of novel innovative medicines by developing computational chemistry techniques that will support experienced multidisciplinary drug hunters.

Basic qualifications

  • Ph.D. in computational biophysics, chemistry, physics or a related discipline.
  • Experience in small molecule and biophysical simulations related to drug discovery.
  • Theoretical understanding of statistical mechanics; statistics; and sampling methods such as FEP, metadynamics, or similar.
  • Familiarity with relevant software packages and languages, including those in all-atom MD, small molecule software, and AI libraries (Python, Bash, OpenMM, RDKit, Pandas, OpenFF, Scikit-learn, PyTorch, etc).
  • Experience using Git version control, submitting pull requests, unit testing, code profiling, and cloud or high-performance computing.
  • Strong communication skills to work closely with a team to develop technology and to communicate in an accessible manner to an interdisciplinary team.
  • Passion for computational and data-driven methods in chemistry and biophysics.
  • A track record of driving projects to completion on planned deadlines of deliverables.

Preferred qualifications:

  • Experience writing and optimizing C++ code.
  • Prior experience working with pharmaceutical companies or on drug discovery projects.

The US base salary range for this full-time position is expected to be $133k - $210k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.

SandboxAQ welcomes all.

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in quantum technology.   We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more.    Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.   Accommodations: we provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.
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Category: Engineering Jobs

Tags: Chemistry Computer Science Drug discovery Git Mathematics Pandas Pharma Physics Python PyTorch RDKit Research Scikit-learn Statistics STEM Testing

Perks/benefits: Career development Competitive pay Equity / stock options Health care Team events Wellness

Regions: Remote/Anywhere North America
Country: United States

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