3 дня назад
Computational Scientist II (Genomics)
100 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computational Scientist II (Genomics): Leading large-scale genetic and omics data analysis across biobanks and cohorts with an accent on statistical genetics, proteomics, and AI-driven analysis. Focus on developing reproducible pipelines, designing innovative analytical methods, and interpreting disease-associated variants and biomarkers.
Location: Cambridge, Massachusetts, United States
Salary: $100,000–$140,000 per year
Company
conducts interdisciplinary research in genomics, computational biology, and biomedical science in collaboration with MIT, Harvard, and affiliated hospitals.
What you will do
- Lead genetics and genomics data analysis across multiple biobanks and cohorts.
- Develop AI systems and reproducible pipelines for very large datasets.
- Perform quality control and analysis of omics data, especially proteomics.
- Develop analytical methods that help collaborators interpret results and design follow-up research.
- Present research progress, prepare manuscripts and reports, and contribute to scientific conferences.
Requirements
- Experience analyzing population genetics and genetic association data, including sequencing tools, methods, and data formats.
- PhD in computational biology, bioinformatics, statistics, or a related quantitative discipline, or equivalent experience.
- At least 3 years of postdoctoral experience in statistical genetics and bioinformatics.
- Applied statistics knowledge and strong programming skills with Linux, shell scripting, and git.
- Practical experience with Python and R, plus the ability to independently lead scientific projects through publication.
- Strong organization, problem-solving, communication, and cross-functional collaboration skills.
Nice to have
- Experience with large-scale genotyping or sequencing datasets and electronic health records.
- Google Cloud and Docker experience.
- Experience with SQL, NoSQL, big data, and data management tools.
Culture & Benefits
- Work in a multidisciplinary environment with computational biologists, bioinformaticians, software engineers, geneticists, and clinicians.
- Collaborate with researchers across a broad global genomics and computational biology network.
- Medical, dental, vision, life, and disability insurance.
- 401(k), flexible spending and health savings accounts, paid holidays, winter closure, paid time off, and family care leave.
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