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Remote Duration: 6 Months with possibilities of extension and converstion to full time Hours: 9 AM ... Collaborate with the research team to develop data analysis plans for the clinical trial. * Use ...
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Quick apply
... structured analysis, prioritized target lists, and practical recommendations. This is a remote ... Analyze data, documents, websites, interviews, and public information to form concise ...
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The data analyst role is part of the analytics team, will report to the Head of Data Science ... S/he will be responsible for performing deep-dive analysis to understand and optimize key levers of ...
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Remote Internship Data Analysis information
Is a remote internship data analysis worth it?
What is the difference between Remote Internship Data Analysis vs Remote Internship Data Scientist?
| Aspect | Remote Internship Data Analysis | Remote Internship Data Scientist |
|---|---|---|
| Required Skills | Basic data analysis, Excel, SQL | Advanced analytics, machine learning, programming |
| Work Environment | Remote, collaborative teams, entry-level tasks | Remote, research-focused, complex problem-solving |
| Industry Usage | Business, marketing, finance | Tech, healthcare, finance, research |
Remote Internship Data Analysis typically involves entry-level data tasks like cleaning and basic analysis, suitable for students or beginners. Remote Internship Data Scientist requires more advanced skills in programming and modeling, often for more complex projects. Both roles are remote and industry-specific, but differ in complexity and skill requirements.
Which internship is best for a remote internship data analysis?
Is it possible to get a remote job as a remote internship data analysis?
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Contractor
Posted 4 days ago
Job description
Title: Sr. Clinical Informatics Analyst - Remote
Location: Remote
Duration: 6 Months with possibilities of extension and converstion to full time
Hours: 9 AM - 5 PM PST
Travel Required: 5 - 15%
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Description
- Collaborate with the research team to develop data analysis plans for the clinical trial.
- Use statistical methods to analyze data and identify trends, patterns, and outliers.
- Create data visualizations and reports to communicate results to the research team.
- Work with other team members to interpret data and provide insights to inform decision-making.
- Develop and implement data governance to support consistency and shared understanding across the organization.
- Stay up-to-date with the latest research and industry developments in continuous glucose monitoring devices.
- Collaborate with the research team to identify opportunities for digital transformation in the clinical trial.
- Develop and implement digital solutions to streamline data collection, data analysis, and data visualization.
- Design and implement strategies to enhance patient recruitment, engagement, and retention using digital technologies.
- Analyze and interpret data generated from digital solutions to inform decision-making and improve trial outcomes.
Requirements:
- Experience working in clinical research and knowledge of clinical trial design and analysis.
- Strong analytical and problem-solving skills, with the ability to analyze complex datasets and identify patterns and trends.
- Excellent communication and presentation skills, with the ability to communicate results and insights to non-technical stakeholders.
- Ability to work independently and collaboratively in a team environment.
- Familiarity with continuous glucose monitoring devices and diabetes management is a plus.
- Intermediate to advanced Python programming skills, including ability to develop, test, and maintain analytics automation.
- Proficiency in Power BI for dashboard/report development and data visualization.- Required
- Experience with Apache Airflow for workflow orchestration and data pipeline scheduling.
- Working knowledge of PostgreSQL, including querying, data modeling, and database optimization.
- Experience developing or integrating APIs using FastAPI.
- Experience in the pharmaceutical or biotechnology industry is preferred.
- Experience working with backend data engineering.
Required Skills (Top 3 non-negotiables):
- Intermediate to advanced Python programming skills, including ability to develop, test, and maintain analytics automation
- Experience with Apache Airflow for workflow orchestration and data pipeline scheduling
- Working knowledge of PostgreSQL, including querying, data modeling, and database optimization.
- Experience developing or integrating APIs using FastAPI.
Preferred Skills (Nice to have)
- Clinical Research Experience
Work related years of experience: 3+ Years
Education Requirements: BS
Interview Process
- Two rounds of interviews.
- A Python coding assessment will be included as part of the interview process