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9 дней назад

Senior Expert I (Bioinformatics)

123 885 - 234 000$
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
Senior Expert I (Bioinformatics): Developing and maintaining LIMS, data pipelines, and assays that produce high-quality, analyzable clinical and research datasets with an accent on clinical data integration, assay development, and quality control. Focus on building robust tooling for new assays and data types, maintaining Java/Python/R systems, and supporting genomics and other large-scale clinical data sources.

Location: Must work in the office in Cambridge, Massachusetts, United States. Relocation support is not available, and visa sponsorship is not provided.

Salary: $123,885–$234,000 per year.

Company

hirify.global is a pharmaceutical and life sciences company developing clinical and research solutions.

What you will do

  • Develop and maintain the LIMS, pipeline framework, pipelines, and assays for high-quality, analyzable datasets.
  • Support clinical trial reporting and additional bed-to-bench and back-translation research activities.
  • Work with laboratory associates, clinical trial data management, CROs, and collaboration partners to develop assays and integrate new data types.
  • Build robust tooling for new assay development and data integration.
  • Design, develop, maintain, and support NGDx systems, including quality control.

Requirements

  • Master’s degree or equivalent in Bioinformatics, Computer Science, or a related field.
  • At least 5 years of work experience in the offered role or a related position.
  • Experience developing, implementing, and delivering data products, data strategies, data governance frameworks, and data quality standards relevant to clinical applications.
  • Experience working with diverse, large-scale clinical data sources, including clinical trials, real-world data, genomics, imaging, and digital health.

Nice to have

  • Experience with Java, Python, and R codebases.
  • Knowledge of biostatistics, data science, machine learning, deep learning, generative AI, graph algorithms, logistic regression, time series analysis, data visualization, SQL, or pandas.

Culture & Benefits

  • Full-time employment with compensation reviewed periodically.
  • Equal opportunity employment and reasonable accommodations are available during the application process and for essential job functions.

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