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14 часов назад

Principal Scientist – Data Insights & Hypothesis Design (AI)

150 000 - 200 000$
Формат работы
remote (только USA)
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
Principal Scientist – Data Insights & Hypothesis Design (AI) (precision medicine and multimodal clinical-genomic data): Evaluating and prototyping scalable data offerings for oncology, neurology, and immunology with an accent on multi-omic analysis, reproducible science, and production-grade data models. Focus on translating research hypotheses into validated data products, integrating foundation models and generative AI, and uncovering biological patterns across terabyte-scale datasets.

Location: Chicago, United States

Salary: $150,000–$200,000 annually in Chicago; $165,000–$225,000 in New York City or San Francisco. Compensation may vary for Colorado, Illinois, and New York locations.

Company

hirify.global develops a proprietary precision medicine platform connecting multimodal real-world evidence with clinical insights for physicians and researchers.

What you will do

  • Evaluate clinical-genomic datasets, write SQL, R, and Python code, and prototype data offerings within the Tempus Data Model.
  • Deliver implementation-ready table and column specifications for scalable, production-grade data products.
  • Translate client research objectives across drug discovery and development into actionable clinico-genomic data strategies.
  • Evaluate datasets, conduct User Acceptance Testing, and create scientifically validated data insight reports and capability demonstrations.
  • Oversee multimodal data across disease areas, with a focus on neurology, Alzheimer’s disease, immunology, and inflammation.

Requirements

  • PhD in a quantitative or NGS-related discipline such as computational biology, genetics, bioinformatics, or systems biology, plus 6+ years of industry experience.
  • Deep expertise in oncology, neurology, or immunology and experience analyzing large-scale clinico-genomic datasets across multiple disease areas.
  • Experience collaborating with data engineering and platform teams on relational databases, advanced SQL data models, and production-grade infrastructure.
  • Current knowledge of foundation models, generative AI architectures, and agentic workflows for complex biological data.
  • Deep experience with multi-omic analyses and NGS modalities, including single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms.
  • Proficiency in Python and/or R for reproducible scientific analysis, workflow development, and data visualization, plus strong cross-functional communication and mentoring skills.

Nice to have

  • Experience bringing scientific data to market and translating analyses into clinical-facing solutions.
  • Experience spanning multiple therapeutic areas and uncovering biological patterns in large-scale datasets.

Culture & Benefits

  • Work focused on precision medicine, clinical care, and healthcare innovation.
  • Cross-functional collaboration with scientific, engineering, platform, and commercial teams.
  • Benefits may include incentive compensation, restricted stock units, medical coverage, and other benefits depending on the position.
  • Equal opportunity employment with consideration for qualified applicants with arrest or conviction records in accordance with applicable law.

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