SandboxAQ · 3 days ago
Staff Research Scientist, Quantitative Systems Biology
United States
Full-time
Remote
Senior Level, Lead/Staff
$156K/yr - $256K/yr
1+ years expSandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The role of Staff Research Scientist in Quantitative Systems Biology involves formalizing biological knowledge, driving experimental validation, and applying model outputs to drug discovery efforts.
Artificial Intelligence (AI)Cyber SecurityInformation TechnologyQuantum ComputingSaaS
Responsibilities
Formalize Causal Frameworks: Translate complex literature and datasets into structured, reaction-level frameworks for modeling, ensuring all mechanisms capture molecular context and regulation
Design & Validate Models: Collaborate with AI teams to design perturbation-response models that enforce biological plausibility, uncertainty reporting, and traceability
Guide Data Interpretation: Lead the interpretation of multi-omics data (single-cell, spatial, proteomic), accounting for experimental biases and limitations to ground models in real biology
Bridge Theory and Experiment: Turn model outputs into precise hypotheses to drive experimental priorities; feed results back into models to refine mechanism curation
Maintain Knowledge Systems: Build a living knowledge base of biological mechanisms and assumptions to support reproducibility and regulatory-grade audits
Qualification
Required
PhD and 1–3 years of experience (postdoc or industry) in molecular, cellular, quantitative, or systems biology applying mechanistic biology to computational research
Python Proficiency: Demonstrated ability to write Python code for exploratory data analysis and visualization
Causal Graph Construction: Proven ability to formalize biological mechanisms into structured causal representations for computational modeling
Multi-Omics Expertise: Strong conceptual understanding of transcriptomic, single-cell, spatial, and proteomic data, including awareness of experimental biases (batch effects, noise)
Collaborative Modeling: Experience partnering with data scientists to refine predictive models for therapeutic discovery or target identification
Preferred
Mechanistic Modeling for Therapeutics: Expertise in applying GRNs, ODEs, or Systems Pharmacology to predict perturbation outcomes and test model validity
Virtual Cell Engineering: Experience developing or rigorously evaluating virtual cell models to uncover mechanistic explanations for simulated drug responses
Translational Context: Familiarity with modeling challenges in drug toxicity (ADME/Tox) and late-stage clinical data
Cross-Functional Strategy: Experience aligning modeling strategies and experimental design across scientific, engineering, and business teams
Integrative Synthesis: Hands-on experience integrating diverse multi-modal data to generate unified biological insights
Benefits
Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
Retirement savings with company matching
Paid parental leave
Inclusive family-building benefits
Flexible paid time off
Company-wide seasonal breaks
Support for flexible work arrangements that enable sustainable performance
Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
Company
SandboxAQ
SandboxAQ develops AI and quantum technology solutions that enhance biopharma, cybersecurity, and materials science.
51-200 employees
H1B Sponsorship
SandboxAQ has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (6)
2023 (3)
2022 (5)
2021 (1)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$975MKey Investors
Eric Schmidt Angel InvestmentsMichael J. Fox Foundation
2025-04-04Series E· $150M
2024-12-18Series E· $300M
2024-10-29Grant· $25M
Leadership Team
Jack Hidary
Chief Executive Officer
Joerg Rathenberg
Head Of Marketing
Recent News
2026-01-10
2025-12-30
Company data provided by crunchbase