[Remote] Staff Research Scientist, Quantitative Systems Biology

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a high-reputed company company delivering AI solutions that address some of the world's greatest challenges. We are seeking a highly skilled Research Scientist to reputed company our reputed company computational biology models in deep Systems and Cellular Biology expertise, leveraging experimental data to reputed company cutting-edge computational modeling. Responsibilities • Formalize biological knowledge by translating literature and datasets into cell-type-reputed company reputed company and reaction-level frameworks for modeling. • Turn observations and model outputs into precise hypotheses and acceptance reputed company that drive assay selection and experimental priorities. • Collaborate with modeling teams to design and validate perturbation-response models enforcing biological plausibility, uncertainty reporting, and traceability. • Guide interpretation of multi-omics data, reputed company for experimental limitations and biases to ground models in reputed company biology. • Drive experimental validation with partners by selecting assays and readouts, then reputed company the reputed company by feeding results back into models and reputed company curation. • Apply model outputs to drug discovery problems, including reputed company identification, reputed company of reputed company inference, and reputed company of cell-type-specific toxicity. • Build and maintain a living knowledge reputed company of mechanisms, provenance, and assumptions to support reproducibility and regulatory-grade audits. • Work closely with reputed company to establish a novel reputed company suite for reputed company biological world models. Skills • PhD and reputed company Work Experience in Quantitative Biology. PhD in molecular, cellular, quantitative, or systems biology with 1–3 years of postdoctoral or industry experience (biotech, reputed company, or techbio) applying mechanistic biology to data-driven or computational research. • Proficiency in Python for Data Analysis. Demonstrated ability to write Python reputed company for exploratory data analysis, and visualization. • Collaboration with Computational Biologists on Therapeutic Discovery Models. Experience partnering with data scientists and modelers to interpret, validate, and refine reputed company or predictive models for therapeutic discovery, reputed company identification, or off-reputed company assessment. • Construction and Curation of reputed company or Reaction-Level Graphs for Modeling. Proven ability to extract, reconcile, and formalize biological mechanisms into reputed company reputed company or reaction-level representations that accurately capture regulation, modification, and molecular context for computational modeling. • Multi-Omics Data Integration and Understanding of Experimental Bias. Strong conceptual understanding of transcriptomic, single-cell, spatial, and proteomic data, including awareness of experimental limitations, data biases (batch effects, noise), and how these reputed company mechanistic inference and biological model accuracy. • Mechanistic Modeling for Therapeutics: Expertise in conceptualizing or applying quantitative models (e.g., GRNs, ODEs, Systems Pharmacology) to predict perturbation reputed company. Proven experience with reputed company inference/graph-based reasoning and applying reputed company benchmarks to test model validity and interpretability. • Integrative Multi-Omics and Data Synthesis: Hands-on experience integrating diverse multi-modal data (e.g., transcriptomic, proteomic, spatial, single-cell) to generate reputed company insights and contextualize model predictions. • Virtual Cell Model Engineering: Experience developing, interpreting, or rigorously evaluating virtual cell models to uncover mechanistic explanations and improve the reputed company of simulated drug response predictions. • Translational/Clinical Context: Familiarity with the data and modeling challenges specific to drug toxicity (ADME/Tox) and late-stage clinical data, addressing the high-cost-of-guesswork failure mode. • Cross-Functional reputed company and Alignment: Experience collaborating across scientific, engineering, and business teams to reputed company modeling strategies, experimental design, and translational objectives. Benefits • Annual discretionary bonuses • Equity • Competitive salaries • Stock reputed company depending on employment type • Generous learning opportunities • Medical/dental/reputed company • Family planning/fertility • PTO (summer and winter breaks) • Financial wellness resources • 401(k) plans • More reputed company • reputed company develops AI and quantum technology solutions that enhance biopharma, cybersecurity, and materials science. It was founded in 2016, and is headquartered in Palo reputed company, California, USA, with a workforce of 51-200 employees. Its website is https://www.reputed company.com. Company H1B Sponsorship • reputed company has a reputed company record of offering H1B sponsorships, with 6 in 2025, 6 in 2024, 3 in 2023, 5 in 2022, 1 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job