4 дня назад
Computational Research Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computational Research Intern (AI): Developing computational approaches for bioinformatics and machine learning while analyzing large-scale genomic and protein datasets with an accent on computational biology, protein engineering, and scientific discovery. Focus on designing research methods, uncovering biological insights, collaborating across interdisciplinary teams, and presenting work for potential publication.
Location: Emeryville, California, United States; hybrid with 2–3 days on-site per week
Company
is an AI and biology startup building foundation models for biological molecules and applications in medicine, agriculture, synthetic biology, and protein engineering.
What you will do
- Design and implement computational approaches for bioinformatics and machine learning research.
- Analyze large-scale genomic and protein datasets to identify biological insights and capabilities.
- Collaborate with machine learning, protein engineering, and biology researchers.
- Document and present research findings, with potential for publication in leading journals and conferences.
Requirements
- Enrollment in a BS, MS, or PhD program in bioinformatics, computational biology, computer science, statistics, or a related quantitative field.
- Strong Python programming skills and familiarity with scientific computing libraries such as NumPy, pandas, and Jupyter.
- Experience with machine learning, large-scale data analysis, genomics, or protein bioinformatics.
- Strong problem-solving skills, scientific curiosity, and the ability to work independently and collaboratively.
Nice to have
- Experience combining computational biology, machine learning, and protein engineering research.
Culture & Benefits
- Work on moonshot projects at the frontier of AI and biology.
- Mentorship from experts in bioinformatics, machine learning, and synthetic biology.
- Resources and environment of a fast-growing, well-funded startup.
- Typical internship duration of 12 weeks with flexible start dates.
- Competitive internship compensation and the opportunity to publish research.
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