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20 часов назад

Staff Computational Biologist (Medtech)

188 275 - 270 375$
Формат работы
remote (только USA)/hybrid/onsite
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

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TL;DR

Staff Computational Biologist (Genomics/ML): Developing and optimizing computational models to identify molecular signatures of cancer with an accent on high-throughput genomic data and statistical modeling. Focus on building predictive models for early disease detection and translating research into clinical products.

Location: Remote (US only), or hybrid/onsite in Brisbane, California

Salary: $188,275 - $270,375

Company

hirify.global is a biotechnology company dedicated to changing the landscape of cancer detection through innovative molecular signatures.

What you will do

  • Lead the analysis and interpretation of cancer's molecular signatures and stay current with field advancements.
  • Develop and guide models that characterize biological changes associated with cancer.
  • Execute rigorous computational analyses on WGS, WGBS, RNA-seq, and protein quantitation data.
  • Design novel statistical models for the evaluation and modeling of cancer biology and progression.
  • Collaborate with molecular biologists to refine wet lab experiments and development scientists to productize models.
  • Support the professional development and career growth of cross-functional computational biologists.

Requirements

  • PhD in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field.
  • 8+ years of post-PhD experience in biological discovery and product development, preferably in cancer diagnostics.
  • Deep expertise in cancer and molecular biology applied to computational diagnostics.
  • Extensive experience with genomics, epigenomics, transcriptomics, and proteomics (e.g., Methyl-seq, ATAC-seq, RNA-seq).
  • Proficiency in Python (Numpy, Pandas, Scikit-learn, PyTorch, TensorFlow) or R/C++.
  • Must be based in the US for remote work arrangements.

Nice to have

  • Experience with sequence-to-function models predicting functional biology from raw DNA, RNA, or protein sequences.
  • Experience applying single-cell genomic or transcriptomic models to translate heterogeneity into signatures.
  • Experience modeling cell-free DNA (cfDNA) signals for early disease detection.

Culture & Benefits

  • Competitive base salary with eligibility for equity and cash bonuses.
  • Full range of medical, financial, and other corporate benefits.
  • Flexible work arrangement options (onsite, hybrid, or remote within the US).
  • Opportunity to make a significant impact on cancer detection and clinical diagnostics.

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