обновлено 3 дня назад
Scientist/Sr. Scientist, Bioinformatics Data (Bioinformatics)
127 313 - 167 099$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Scientist/Sr. Scientist, Bioinformatics Data (Bioinformatics): Designing and executing scalable computational pipelines for genomic and multi-omics datasets with an accent on biomarker discovery, therapeutic target identification, and biological data quality control. Focus on applying machine learning and statistical methods, integrating biological databases, and translating complex analyses into actionable insights for researchers and clinicians.
Location: Hybrid role based in Somerset, New Jersey, United States
Salary: $127,313–$167,099 USD base pay annually, plus performance-based bonus and/or equity for eligible roles
Company
is a global biotechnology company developing cell therapies, including CAR-T, TCR-T, and natural killer cell-based therapies, in collaboration with Johnson & Johnson on CARVYKTI®.
What you will do
- Analyze large-scale genomic datasets, including RNA-seq, single-cell RNA-seq, WES/WGS, epigenetic, and multi-omics data.
- Identify biomarkers, therapeutic targets, and disease mechanisms using statistical, machine learning, and data-mining methods.
- Perform quality control, normalization, and batch correction across heterogeneous datasets.
- Design, optimize, and maintain reproducible, scalable bioinformatics pipelines and version-controlled code architectures.
- Integrate biological databases with internal datasets and convert complex computational findings into clear biological narratives.
- Collaborate with IT, experimental biologists, clinicians, and other functional groups.
Requirements
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a related quantitative field.
- Required experience with genomic and next-generation sequencing data analysis.
- Advanced proficiency in R and/or Python, including tools such as Bioconductor, Tidyverse, Pandas, NumPy, and Scikit-learn.
- Experience with alignment tools, variant callers, and single-cell toolkits such as Seurat or Scanpy.
- Strong experience applying AI in data science, with excellent critical thinking, debugging, communication, and presentation skills.
- Applicants must be authorized to work in the United States; employment eligibility will be verified through E-Verify.
Nice to have
- Experience with AWS or GCP cloud platforms.
- Experience with Docker or Singularity containerization.
- Experience working with emerging computational methods and complex biological technologies.
Culture & Benefits
- Permanent full-time employees receive medical, dental, and vision insurance.
- Benefits include a 401(k) plan with company match, paid parental leave, and paid time off.
- Additional benefits include flexible spending and health savings accounts, disability coverage, life insurance, commuter benefits, and family care resources.
- Performance-based bonus and/or equity may be available for eligible employees.
- Contractors are not eligible for benefits through .
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