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8 дней назад

Scientist, Bioinformatics (AI)

155 000 - 230 000$
Формат работы
onsite
Тип работы
fulltime
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
Scientist, Bioinformatics (AI): Conducting integrative multi-omics analyses and developing personalized biomarkers for hard-to-diagnose diseases with an accent on computational biology, machine learning, and precision medicine. Focus on building statistical and machine-learning pipelines, integrating complex biological datasets, and solving challenges in personalized disease modeling.

Location: Englewood, New Jersey, United States. Ability to work in the United States without sponsorship is required.

Salary: $155,000–$230,000 per year base pay. Additional compensation of $10,000–$40,000 per year may be available.

Company

hirify.global is a privately funded biotechnology company focused on regenerative and preventive personalized medicine, biological aging, and age-related diseases.

What you will do

  • Conduct complex bioinformatics analyses of genomics, transcriptomic, proteomic, metabolomic, and lipidomic datasets.
  • Integrate multi-omic data within personalized medicine research.
  • Discover personalized biomarkers for complex and difficult-to-diagnose phenotypes.
  • Design and build pipelines and algorithms for database querying and large-scale dataset analysis.
  • Apply machine learning, Bayesian modeling, network-based similarity methods, and factorization techniques to biological datasets.

Requirements

  • MS or PhD in Biomedical Science.
  • Extensive experience in computational biology, bioinformatics, and data science.
  • Experience incorporating AI tools into bioinformatics workflows.
  • Expertise in multi-omics integration, systems biology, network medicine, precision medicine, and personalized medicine.
  • Strong machine learning, statistical modeling, data cleaning, transformation, and visualization skills.
  • Programming experience for machine-learning and statistical pipelines, preferably in Python.

Nice to have

  • Extensive knowledge of AI and machine-learning algorithms applied to biological datasets.
  • Strong understanding of Bayesian statistics and methods.
  • Interest in disease models and aging biology.

Culture & Benefits

  • Small-group and highly collaborative working environment.
  • Access to state-of-the-art scientific resources.
  • Empowerment to work in small teams on research advancing regenerative and preventive medicine.

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