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3 часа назад

Machine Learning Scientist (AI)

148 000 - 186 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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