3 дня назад
Sr. Scientist – Bioinformatics, Computational Biology, Proteomics (Bioinformatics)
146 404 - 198 076$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Scientist – Bioinformatics, Computational Biology, Proteomics (Bioinformatics): Developing computational tools, data infrastructure, and analysis pipelines for proteomics data supporting biomarker discovery, target evaluation, experimental design, and mechanism-of-action studies with an accent on large-scale quantitative proteomics, statistical analysis, and genomic-proteomic data integration. Focus on building data ingestion, database, visualization, and reproducible analysis solutions for complex mass-spectrometry datasets.
Location: US - California - South San Francisco; role based at the South San Francisco campus
Salary: $146,404–$198,076 annual
Company
is a biotechnology company developing medicines for serious diseases across oncology, inflammation, general medicine, and rare disease.
What you will do
- Develop computational tools and data infrastructure for the Discovery Proteomics Group.
- Conduct statistical analysis, data ingestion, database and tool development, and computational pipeline implementation for proteomics data.
- Build data analysis, management, and visualization strategies for complex datasets generated by mass spectrometry and other technologies.
- Support biomarker discovery, target evaluation, experimental design, and mechanism-of-action studies.
- Integrate and mine data across genomic and proteomic platforms and present results to scientific stakeholders.
- Collaborate with scientists across functions and therapeutic areas to translate discovery needs into computational solutions.
Requirements
- Doctorate degree, or a master's degree with 3 years of scientific experience, or a bachelor's degree with 5 years of scientific experience.
- Expertise in large-scale quantitative proteomics and other omics data analysis.
- Fluency in Python, R, and SQL, with experience in statistical analysis, data processing, data ingestion, and data visualization.
- Working knowledge of Unix/Linux and AWS cloud environments.
- Experience with version control, Docker containers, reproducible data analysis, documentation, and coding project management.
- Strong scientific communication, independent critical thinking, and cross-functional collaboration skills.
Nice to have
- PhD in computational biology, bioinformatics, statistics, proteomics, or biology.
- Familiarity with basic machine learning and deep learning packages.
- Experience with meta-analysis of public proteomics studies such as GTEx or CPTAC.
- Background in biology or chemistry related to immunology, oncology, inflammation, or cardiometabolic disease.
Culture & Benefits
- Collaborative, innovative, and science-based work environment.
- Health, dental, vision, life, disability, and flexible spending benefits.
- Retirement and savings plan with company contributions.
- Annual bonus program and stock-based long-term incentives.
- Paid time-off plans and career development opportunities.
Hiring process
- Applications are accepted until a sufficient number of candidates is received or a candidate is selected.
- Sponsorship for this role is not guaranteed.
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