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3 дня назад

Associate Manager, Statistical Genetics (Applied Bioinformatics Scientist)

109 900 - 179 300$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
Associate Manager, Statistical Genetics (Applied Bioinformatics Scientist) (Genomics/Multi-omics): Conducting large-scale genetic and phenotypic analyses to discover and validate therapeutic targets, with an accent on genetic association methods, multi-omic integration, and functional genomics. Focus on harmonizing public and in-house datasets, prioritizing variants and genes, and independently designing analytic studies in collaboration with pre-clinical and clinical development teams.

Location: Tarrytown, New York, United States; hybrid schedule with 4 days onsite

Salary: $109,900–$179,300 annually

Company

hirify.global uses genetics and health data to advance understanding of human disease and guide therapeutic programs.

What you will do

  • Conduct genetic association analyses using GWAS, EXWAS, rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk scores, pleiotropy analysis, and meta-analysis.
  • Integrate genetic data with multi-omic datasets to support therapeutic target discovery and validation.
  • Develop data harmonization and normalization methods for in-house and public data resources.
  • Apply functional genomic data to prioritize variants and genes and perform quality control on large-scale datasets.
  • Design and independently execute analytic studies from conception through completion.
  • Collaborate with pre-clinical, clinical development, and other R&D groups to advance therapeutic programs.

Requirements

  • PhD and 0–2 years of experience analyzing omics data and conducting genetic association analyses.
  • Proficiency in multi-omic data integration for therapeutic target discovery.
  • Experience developing data harmonization and normalization methods.
  • Experience with GWAS, EXWAS, rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modeling, pleiotropy analysis, meta-analysis, and functional data analysis.
  • Strong programming skills in Python, R, C/C++, Bash, and/or Julia.
  • Strong quantitative skills in regression, classification, Bayesian inference, and hypothesis testing; experience with Git/GitHub, Claude, Adobe, and Docker.

Nice to have

  • Experience working with immunologic datasets or immunology.

Culture & Benefits

  • Inclusive workplace and equal employment opportunity.
  • Competitive total rewards package that may include bonuses, equity awards, retirement benefits, health and wellness programs, insurance, paid time off, and family support benefits.
  • Onsite collaboration is emphasized for many roles.

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