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Senior ML Research Engineer — Predictive Modeling

Jobverse.io

On-siteLos Angeles, CAseniorPosted 11h ago

Job description

Biocient is a biotechnology company developing novel therapies for neurodegenerative diseases. The company is seeking a Senior ML Research Engineer to build and validate predictive models from multimodal biological data, translate biological questions into quantitative predictions, and inform experimental and drug-development decisions. The role involves collaborating with scientists, integrating internal and external data, and supporting translational, regulatory, and AI-platform evaluation efforts.

Responsibilities

  • Build and maintain the predictive roadmap for our programs

  • Build predictive models from the ground up.Design, train, validate, and iterate models using complex, multi-modal biological datasets. Apply modern ML approaches—including foundation-model methods where appropriate—while recognizing when simpler statistical or machine-learning approaches provide more reliable answers

  • Help design experiments around predictive questions . Work with the scientific team to translate biological questions into experimental designs, including cohort sizing, biomarker selection, sampling timepoints, and additional measurements needed to improve predictive power. Define analytical endpoints and Go/No-Go criteria before results are generated

  • Connect predictions to experimental results . Work with the team to establish a rigorous prediction → experiment → result → model-improvement loop, with appropriate validation, uncertainty assessment, and reproducibility

  • Map opportunities for platform expansion.Integrate internal data with external datasets and scientific literature to evaluate where the mechanism of our lead program may apply beyond other diseases

  • Support translational and regulatory development

  • Evaluate and operate external AI platforms.Frame scientific questions for external AI and drug-discovery platforms, critically evaluate their outputs, integrate useful findings with internal analyses, and maintain appropriate data-security standards when working with external systems