Data Selection Quality Evaluation For Biological Foundation Models Jobs

Those models depend on rich, high-quality experimental data that captures biological function.

, building the training and evaluation loop, and delivering results to the partner Train, fine-tune, and post-train biological foundation models on single-cell

large-scale model training, foundation models, model parallelism, multi-node training Experience with bio sequence data and datasets — various genomic and

performance changes with data quantity, data quality, dataset composition, and training methodology Develop biologically meaningful evaluations and benchmarks

tasks for model evaluation and improvement.

We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease.

…direct expertise (preferably with high- quality publications) in developing novel GenAI models trained on massive biological data.

…with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models.

…experience designing, building, or operating evaluation systems for LLM/GenAI products, including model-based evaluators or autograders

We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease.

…lead the transition from specialized models to unified Foundation Model architectures that maintain "Oracle" quality while scaling to hundreds of new semantic

…the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the