2 дня назад
Grad Intern – Data Scientist (Biotechnology)
35 - 41$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Grad Intern – Data Scientist (Biotechnology): Building predictive models and data capabilities for Amgen’s technology and medical organizations with an accent on statistical analysis, multi-source data integration, and unstructured data processing. Focus on analyzing large datasets, testing quantitative methods, and developing automated systems that convert unstructured information into structured content for modeling.
Location: United States – Remote; must be located in the United States for the duration of the internship
Salary: $35.34–$41.20 per hour
Company
is a biotechnology company developing medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.
What you will do
- Execute and analyze data analysis and modeling projects, including data design and processing.
- Build high-performing predictive models using advanced statistical techniques.
- Test statistical analysis methods, software, and data sources to improve quantitative solutions.
- Develop ways for scientists to use data from multiple sources.
- Create automated capabilities to read unstructured data and convert it into structured content for analysis and modeling.
Requirements
- Must be 18 years or older and authorized to work in the United States for the duration of the program.
- Must be located in the United States throughout the internship.
- Must have graduated with a bachelor's degree from an accredited college or university.
- Must be enrolled in the first year of an accredited master's, MBA, PharmD, or PhD program before the internship begins.
- Preferred academic backgrounds include information technology, computer science, engineering, business, or a related field.
- Proficiency in Python, Java, Scala, or SQL, with strong analytical, quantitative, interpersonal, and project management skills.
Nice to have
- At least one year of relevant work experience.
- Biotechnology, pharmaceutical, or healthcare industry experience.
- Coursework in software development, database modeling, cloud applications, enterprise systems, Agile, Lean, or SDLC processes.
Culture & Benefits
- Collaborative, innovative, and science-based work environment.
- Opportunities to build a professional network through colleagues and networking events.
- Executive and social networking events and community volunteer projects.
- Inclusive culture that values diverse perspectives and supports professional and personal growth.
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