Process Engineering Intern
| Company | BillionToOne |
|---|---|
| Location | Menlo Park, CA, USA, Hayward, CA, USA |
| Salary | $24.998124996394 – $24.998124996394 |
| Type | Internship |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Internship |
Requirements
- Currently pursuing a degree in Bioengineering, Data Science, Computer Science, or a related field.
- Foundational knowledge in bioengineering principles and their application in data-driven processes.
- Experience with data analysis tools and languages such as Python, R, or SQL.
- Familiarity with data infrastructure technologies, such as data warehouses, ETL processes, and cloud computing platforms (e.g., AWS, Google Cloud, or Azure).
- Strong analytical skills with the ability to work with large and complex datasets.
- Basic understanding of machine learning and statistical modeling techniques.
- Excellent problem-solving skills and attention to detail.
- Strong written and verbal communication skills to effectively collaborate with team members.
- Ability to work independently and as part of a team in a fast-paced environment.
- Enthusiasm for learning new technologies and applying them in real-world scenarios.
Responsibilities
- Collaborate with process engineering team members to identify key data requirements for decision-making processes.
- Assist in the redesign and implementation of scalable data infrastructure solutions to support process optimization.
- Analyze complex datasets to identify trends, patterns, and insights that can enhance process efficiency and outcomes.
- Develop data pipelines for the collection, processing, and storage of critical process data.
- Utilize bioengineering knowledge to understand and integrate specific biological data requirements into the infrastructure.
- Support the creation and documentation of standard operating procedures around data handling and analysis.
- Work closely with data scientists to ensure the accuracy and integrity of the data used for predictive models.
- Contribute to the development of dashboards and reporting tools that provide actionable insights to stakeholders.
- Help in the evaluation of new tools and technologies to enhance data infrastructure capabilities.
- Participate in regular team meetings to discuss project progress, challenges, and solutions.
Preferred Qualifications
-
No preferred qualifications provided.