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4 часа назад

Staff Data Scientist, Imaging (AI)

214 000 - 294 800$
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
Staff Data Scientist, Imaging (AI): Designing data representations and tokenization strategies for biological imaging data to enable novel AI model architectures, with an accent on heterogeneous modalities, biological signals, and dataset quality. Focus on building robust training frameworks, evaluating how representations affect model performance, and translating experimental biology into scalable, AI-ready datasets.

Location: Redwood City, California, United States; hybrid, onsite at least 60% of the working month, approximately 3 days per week

Salary: $214,000–$294,800 base pay per year, plus potential discretionary annual performance bonus

Company

hirify.global develops AI, biological foundation models, computing infrastructure, and experimental capabilities to accelerate scientific discovery and biological research.

What you will do

  • Design data representations and tokenization strategies for biological imaging data and novel model architectures.
  • Coordinate Experimental, Data Science, Data Engineering, and AI Research teams to translate biological structures into learnable representations.
  • Guide data acquisition priorities, define quality criteria, and assess external datasets from a representation perspective.
  • Develop and validate unified training frameworks for heterogeneous biological data modalities.
  • Design for robustness to noise, bias, and batch effects across large-scale datasets.
  • Evaluate which biological signals are captured or lost by representation choices and iterate to improve model performance.

Requirements

  • PhD in computational biology, bioinformatics, or a quantitative biological field.
  • Experience with tokenization strategies for non-text data, including images, sequences, graphs, or time series.
  • Track record of novel methodological contributions through publications, open-source tools, or production systems.
  • Deep understanding of imaging data and transforming raw data into AI-ready datasets.
  • Experience designing data representations or features for machine learning in scientific or biological contexts.
  • Strong Python and scientific computing skills, with experience working with large-scale datasets and modern ML architectures such as transformers or diffusion models.

Nice to have

  • Familiarity with biological foundation models such as ESM, scGPT, or similar systems.
  • Experience working directly with experimental scientists, computational scientists, AI researchers, and data engineers.
  • Experience mentoring senior individual contributors.

Culture & Benefits

  • Collaborative, team-oriented environment with a focus on in-person connection.
  • Generous employer match on 401(k) contributions.
  • Paid time off for volunteering.
  • Funding for select family-forming benefits.
  • Relocation support is available for employees who need assistance moving.

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