3 часа назад
Machine Learning Scientist (AI)
148 000 - 186 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Scientist (AI) (Clinical Drug Discovery): Fine-tuning multimodal transformer models on biomedical and clinical datasets to generate insights into trial outcomes, toxicity, and PK/PD responses with an accent on leakage-resistant evaluation, calibration, and uncertainty quantification. Focus on building scalable benchmarking frameworks, optimizing large-scale training runs, and deploying clinically meaningful models for drug discovery decisions.
Location: Boston Office or remote within the US; hybrid work format
Salary: $148K–$186K per year
Company
Therapeutics is a clinical-stage life-science and technology company developing medicines through an AI-driven drug discovery and development platform.
What you will do
- Fine-tune large-scale multimodal transformer models for clinical and biomedical applications.
- Source, curate, characterize, and evaluate datasets covering clinical trial outcomes, pharmacokinetics, pharmacodynamics, toxicity, and adverse events.
- Develop leakage-resistant experiments and benchmarking frameworks across models and tasks.
- Build models with calibration, uncertainty quantification, and clinically meaningful evaluation metrics.
- Collaborate with ML, software engineering, clinical science, and pharmacology colleagues to deploy and operationalize models.
- Produce, test, document, and package research and engineering code, and communicate results to internal teams, partners, and conferences.
Requirements
- MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant industry or research experience, or a PhD or equivalent experience.
- Strong Python experience implementing and fine-tuning deep learning models.
- Demonstrated experience in clinical science or working with clinical datasets.
- Strong data science skills across problem framing, data sourcing, cleaning, visualization, exploratory analysis, modeling, tuning, and communication.
- Ability to independently own a workstream from data ingestion through evaluation.
- Experience with reproducible experimentation, control strategies, clean code, testing, Docker, CUDA, Kubernetes, and experiment tracking such as Weights & Biases.
Nice to have
- Experience building and deploying clinically relevant prediction models.
- Familiarity with ClinicalTrials.gov/AACT, MedDRA, pharmacovigilance, or adverse event data.
- Experience with multi-task learning, agentic data extraction, HPC, or large-scale computing.
Culture & Benefits
- Inclusive environment focused on diversity and collaboration across AI, life sciences, and drug discovery.
- Company-paid healthcare and flexible spending accounts.
- Voluntary life insurance and 401(k) matching.
- Uncapped vacation.
- Access to an onsite gym and dining facilities at the San Diego site.
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