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Lead AI Computational Biologist

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About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

About the Role

SandboxAQ’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 AI 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.

What You'll Do

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

About You

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).

Nice to Haves

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.

The US base salary range for this full-time position is expected to be $179k - $251k 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 AI and 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.

Average salary estimate

$215000 / YEARLY (est.)

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$179000K

$251000K

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What You Should Know About Lead AI Computational Biologist, SandboxAQ

At SandboxAQ, we're on the lookout for a talented Lead AI Computational Biologist to join our dynamic team, working remotely from the USA or Canada. Our company is all about harnessing AI to tackle some of the biggest challenges the world faces, especially in drug discovery and development. As a Lead AI Computational Biologist, you'll be at the forefront of innovation, applying your extensive knowledge in computational biology and machine learning to make a real impact. You'll lead a small team, guiding them to develop cutting-edge solutions that optimize our understanding of disease biology and inform decision-making in drug discovery. Your role involves analyzing complex datasets, including omics and clinical trial data, and collaborating with experts in various fields to infer causality in disease progression. With a PhD and over 10 years of experience in pharma or biotech, you’ll balance technical expertise with strong leadership skills, driving your team’s success while cultivating an inclusive environment. At SandboxAQ, you'll find a culture that values creativity and collaboration, giving you the opportunity to pursue your own developmental interests. We offer competitive salaries, stock options, generous PTO, and benefits that support your well-being and growth. If you're passionate about biology, AI, and want to be part of a mission-driven team, this is the place for you!

Frequently Asked Questions (FAQs) for Lead AI Computational Biologist Role at SandboxAQ

What are the responsibilities of the Lead AI Computational Biologist at SandboxAQ?

The Lead AI Computational Biologist at SandboxAQ is responsible for designing and executing projects that integrate machine learning solutions, bioinformatics, and bio-physical simulations. You’ll guide a technical team, leveraging your expertise to innovate in disease biology and drug development, ensuring impactful results for drug discovery initiatives.