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3 дня назад

Senior Scientist I, Translational Research

100 000 - 160 000$
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
Senior Scientist I, Translational Research (Precision Medicine/AI): Designing and executing computational research projects that leverage clinical, molecular, and multimodal datasets to advance oncology drug discovery and precision medicine programs with an accent on client-facing solution design, translational research, and AI-driven analysis. Focus on integrating large-scale clinical and omics data, co-architecting solutions for biopharma partners, and communicating complex research findings to technical and non-technical audiences.

Location: Chicago, United States. The role requires approximately 25% domestic and international travel.

Salary: $100,000–$160,000 annually in Chicago. Salary ranges of $115,000–$175,000 apply to New York City and San Francisco; compensation may vary for Colorado, Illinois, and New York based on qualifications and experience.

Company

hirify.global develops a healthcare platform that connects real-world clinical and molecular evidence with AI-driven insights for precision medicine and clinical care.

What you will do

  • Design, develop, and execute computational research projects with pharmaceutical clients using the Tempus platform.
  • Analyze and integrate large clinical, molecular, genomic, and multimodal datasets to identify insights and new research opportunities.
  • Co-architect client solutions that support oncology drug discovery, development, clinical trials, and real-world evidence programs.
  • Develop account strategies and advise biopharma partners on how the platform can support their pipelines and portfolios.
  • Document technical methods and results, author whitepapers, and communicate the value of multimodal analysis and AI to diverse audiences.
  • Collaborate with Research, Engineering, Data Science, and Product teams to improve computational workflows and inform portfolio development.

Requirements

  • PhD in a quantitative discipline such as biostatistics, statistical genetics, cancer genetics, bioinformatics, computational biology, or computational immunology; alternatively, a PhD in molecular biology or immunology with a strong computational biology record.
  • At least 4 years of experience in drug development using genomic and multimodal data for drug discovery and development.
  • Strong understanding of molecular data, AI in drug discovery, cancer, immunology, clinical trials, and real-world evidence platforms.
  • Experience integrating and modeling multimodal clinical and omics data, including large transcriptome datasets.
  • Proficiency in R, Python, and SQL.
  • Ability to communicate insights to diverse audiences and collaborate across interdisciplinary teams.

Nice to have

  • Prior consulting or client-facing experience.
  • Strong peer-reviewed publication record.
  • Experience with Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, Docker, AWS, Flask, Dask, and data visualization tools.
  • Experience with HTML5, CSS3, JavaScript, D3, Plotly, matplotlib, or seaborn.

Culture & Benefits

  • Full-time employment with a comprehensive benefits package that may include incentive compensation, restricted stock units, medical benefits, and other benefits depending on the position.
  • Fast-paced, interdisciplinary environment focused on improving healthcare through computational research and AI.
  • Opportunity to work directly with biopharma clients and internal Research, Engineering, Data Science, and Product teams.
  • Equal opportunity employment with consideration for qualified applicants with arrest or conviction records in accordance with applicable law.

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