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3 дня назад

Sr. Scientist – Bioinformatics, Computational Biology, Proteomics (Bioinformatics)

146 404 - 198 076$
Формат работы
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

Текст:
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TL;DR
Sr. Scientist – Bioinformatics, Computational Biology, Proteomics (Bioinformatics): Developing computational tools, data infrastructure, and analysis pipelines for proteomics data supporting biomarker discovery, target evaluation, experimental design, and mechanism-of-action studies with an accent on large-scale quantitative proteomics, statistical analysis, and genomic-proteomic data integration. Focus on building data ingestion, database, visualization, and reproducible analysis solutions for complex mass-spectrometry datasets.

Location: US - California - South San Francisco; role based at the South San Francisco campus

Salary: $146,404–$198,076 annual

Company

hirify.global is a biotechnology company developing medicines for serious diseases across oncology, inflammation, general medicine, and rare disease.

What you will do

  • Develop computational tools and data infrastructure for the Discovery Proteomics Group.
  • Conduct statistical analysis, data ingestion, database and tool development, and computational pipeline implementation for proteomics data.
  • Build data analysis, management, and visualization strategies for complex datasets generated by mass spectrometry and other technologies.
  • Support biomarker discovery, target evaluation, experimental design, and mechanism-of-action studies.
  • Integrate and mine data across genomic and proteomic platforms and present results to scientific stakeholders.
  • Collaborate with scientists across functions and therapeutic areas to translate discovery needs into computational solutions.

Requirements

  • Doctorate degree, or a master's degree with 3 years of scientific experience, or a bachelor's degree with 5 years of scientific experience.
  • Expertise in large-scale quantitative proteomics and other omics data analysis.
  • Fluency in Python, R, and SQL, with experience in statistical analysis, data processing, data ingestion, and data visualization.
  • Working knowledge of Unix/Linux and AWS cloud environments.
  • Experience with version control, Docker containers, reproducible data analysis, documentation, and coding project management.
  • Strong scientific communication, independent critical thinking, and cross-functional collaboration skills.

Nice to have

  • PhD in computational biology, bioinformatics, statistics, proteomics, or biology.
  • Familiarity with basic machine learning and deep learning packages.
  • Experience with meta-analysis of public proteomics studies such as GTEx or CPTAC.
  • Background in biology or chemistry related to immunology, oncology, inflammation, or cardiometabolic disease.

Culture & Benefits

  • Collaborative, innovative, and science-based work environment.
  • Health, dental, vision, life, disability, and flexible spending benefits.
  • Retirement and savings plan with company contributions.
  • Annual bonus program and stock-based long-term incentives.
  • Paid time-off plans and career development opportunities.

Hiring process

  • Applications are accepted until a sufficient number of candidates is received or a candidate is selected.
  • Sponsorship for this role is not guaranteed.

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