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.
About the RoleSandboxAQ’s AI Simulation team develops new drugs and materials using a spectrum of AI and physics-based computational solutions. We are seeking an experienced and innovative Senior Research Scientist, Computational Biologist to amplify our ability to reason causally about biological systems, based on multimodal data from a variety of inputs, including simulation. The successful candidate will have significant expertise in computational biology, including knowledge of cutting-edge machine learning techniques, particularly involving large graph data structures such as knowledge graphs. They will have experience leading small teams in the delivery of innovative solutions to customers. These skills will be leveraged within a seasoned, agile, and multi-disciplinary group, including drug hunters with an excellent track record in drug discovery, computational chemists, physicists, AI experts, and software engineers.Core Responsibilities
- Lead projects combining ML/AI solutions, knowledge graphs, bioinformatics, biophysical simulations, and software development to optimize drug discovery and development strategies.
- You will guide a technical team to innovate in areas including disease biology, bioinformatics, cheminformatics, AI (e.g., ML, NLP, etc.) using your blend of expertise and knowledge in these areas.
- Apply your experience in both technical leadership and people management to build a successful and inclusive team.
- Your work will directly impact decision-making in drug discovery and development projects.
- Partner with researchers from diverse backgrounds to develop novel computational methods to infer causality in disease progression.
- Provide broad insight and lead drug projects by providing support on studies in multiple scientific areas including target identification and validation, biomarker discovery, patient stratification, clinical trial design, etc.
- Interpret experimental data from biological studies in immunology, oncology, and neurodegeneration.
- Analyze omics and phenotyping data from research studies, clinical trials, and real-world databases to identify disease-driving cell types, pathways, and genes
- Propose drug targets based on the biology insights derived from data and suggest validation experiments
Who you are
- You’re someone who wants to drive your own development.
- You’re looking for a company where you have the opportunity to pursue your interests across functions and geographies.
- You are inspired by our mission and have a collaborative, rigorous, and entrepreneurial spirit that matches SandboxAQ’s global culture.
- PhD in computational biology or similar field with strong innovation and publication record.
- 10+ years of relevant professional experience, including pharma/biotech and postdoctoral research.
- Experience mentoring direct and/or indirect reports.
- Excellent analytical capability, being able to identify key questions and come up with innovative solutions for complex problems.
- You have a unique blend of passion for biology, strong bioinformatics experience (omics, pathway, network analysis, etc.), AI, software development, and literacy on experimental biology to be an effective leader of your team.
- Enjoys the startup work culture with a great collaborative spirit.
- A strong team player with good communication skills (especially with experimental biologists).
Preferred Qualifications
- Proven background in physics-based and AI-based molecular simulation.
- Experience in target identification.
- Experience in clinical development or real world data.
- Experience with biomarker discovery and translation.
- Experience with text mining or competitor information analysis.
- Solid biology knowledge in Immunology, Neurodegeneration, and Oncology.
- Excellent publication record.
- Willingness to travel less than 25% to conferences, offsites, customers, and internal meetings.
Details
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.