5 дней назад
Computational Genomics Research Scientist (Genomics)
112 000 - 168 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computational Genomics Research Scientist (Genomics): Developing genomic analyses for cell and gene therapy research with an accent on single-cell sequencing, spatial transcriptomics, multiomic profiling, and biological interpretation. Focus on integrating complex datasets, advancing reproducible computational workflows, and translating statistical analyses into actionable recommendations for multidisciplinary research teams.
Location: Boston, MA, United States. Hybrid position requiring three days per week onsite, with an onsite option available five days per week.
Salary: $112,000–$168,000 annual base salary, plus eligibility for an annual bonus and annual equity awards.
Company
Vertex is a global biotechnology company focused on scientific innovation and the development of cell and gene therapies.
What you will do
- Design and execute genomic, sequencing, bioinformatics, and computational studies for early research and multiple disease programs.
- Lead the application and advancement of spatial transcriptomics methods across research teams and sites.
- Analyze and integrate bulk RNA-seq, single-cell, spatial transcriptomics, and other multiomic datasets.
- Apply statistical rigor, published findings, and data visualizations to generate biological insights.
- Translate complex analyses into recommendations and communicate findings to multidisciplinary audiences.
- Improve analytical workflows, reproducibility, usability, and robustness with computational and software teams.
Requirements
- Ph.D. in computational biology, bioinformatics, genomics, systems biology, biomedical engineering, statistics, computer science, or a related quantitative field with 0–3 years of relevant postdoctoral or industry experience; or a related Master's degree with 3+ years of relevant industry experience.
- Demonstrated expertise in designing, analyzing, visualizing, and interpreting single-cell genomics and spatial transcriptomics experiments.
- Proficiency in Python and/or R for scientific computing and data analysis.
- Experience with Linux-based high-performance computing and/or cloud computing environments.
- Strong foundations in statistics, experimental design, reproducible computational research, gene editing, molecular biology, and cellular biology.
- Ability to derive biological insights, document analytical workflows, prepare technical reports, and collaborate across cross-functional research teams.
Culture & Benefits
- Hybrid work flexibility under the Flex @ Vertex program.
- Medical, dental, and vision benefits with paid time off and company shutdowns in summer and winter.
- Educational assistance programs, including student loan repayment.
- Commuting subsidy, matching charitable donations, and 401(k).
- Equal employment opportunity and reasonable workplace accommodations.
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