1 день назад
Senior Bioinformatics Scientist (Genomics)
1 - 2$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Bioinformatics Scientist (Genomics): Analyzing large-scale cancer sequencing datasets and developing genomic data analysis tools, pipelines, and algorithms with an accent on WGS analysis, statistical modeling, machine learning, and Python-based infrastructure. Focus on designing high-throughput sequencing workflows, optimizing genomic analytics systems, and translating bioinformatics research into clinical diagnostic products.
Location: Israel; hybrid or remote work indicated.
Salary: $1–$2 USD
Company
is a diagnostics company developing genomic and clinical data-driven cancer tests and tools to support clinical decision-making.
What you will do
- Analyze next-generation sequencing data, from individual research experiments to very large cancer-related datasets.
- Research and develop machine learning architectures, statistical algorithms, and mathematical models for genomics.
- Design and prototype processing pipelines and algorithms for high-throughput sequencing data.
- Engineer and optimize genomic data analysis tools and the broader genomic analytics platform.
- Collaborate with R&D, production, clinical, data science, software engineering, and business analysis teams.
- Prepare technical documentation, research reports, and algorithm specifications.
Requirements
- Master’s degree or PhD in engineering, computer science, bioinformatics, statistics, or a related field; alternatively, a master’s degree with 3 years of relevant experience.
- Strong foundation in probability theory, statistics, scientific methods, algorithms, and quantitative analysis.
- Knowledge of bioinformatics tools, clinical diagnostics workflows, or genetic processes.
- Proficiency in Python, Bash, scripting, file parsing, and data visualization.
- Experience with cloud computing technologies, preferably AWS.
- Ability to work independently, manage changing priorities, communicate clearly, and collaborate across functions.
Nice to have
- Experience managing data in a regulated environment.
- Additional knowledge of databases, statistics, or genetics.
Culture & Benefits
- Purpose-driven work focused on improving cancer care and clinical decision-making.
- Collaborative environment spanning R&D, production, clinical, and technical functions.
- Competitive compensation and benefits, with potential bonuses, incentives, and restricted stock units.
- Inclusive workplace with opportunities for learning, growth, and career development.
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