Overview:
The Data Science team is seeking an intern to provide support for data collection and preparation that support study designs and the implementation of statistical analyses.
This is a full-time position that will span over the course of 10 weeks. The program will start Monday, June 2nd, 2024 and end Friday, August 8th.
Who will love this job?
* A self-starter who thrives in a collaborative, fast-paced environment
* A creative problem solver who gets excited about leveraging a variety of resources to create solutions to technical issues
* A team player who is always willing to help the group and enjoys working through challenges with colleagues from other teams within DrFirst
* An enthusiastic learner who embraces the opportunity to learn about new products, technologies, and tools in a continuously evolving environment
Responsibilities:
* Data Collection and Management:
* Assist in the collection, verification, and management of data to ensure accuracy and integrity.
* Prepare datasets for statistical analysis, including cleaning, transforming, and structuring data according to project requirements.
* Support in Statistical Analysis:
* Provide logistical support in the design and implementation of statistical analyses under the guidance of senior statisticians.
* Help in the development and testing of statistical models according to study designs.
* Collaborative Learning and Development:
* Participate in regular training sessions and meetings to understand the standard operating procedures (SOPs) for statistical tasks.
* Shadow experienced statisticians to learn about the end-to-end process of statistical studies, from conceptualization to execution.
* Communication and Reporting:
* Assist in the preparation of reports and presentations to communicate findings to internal stakeholders.
* Document processes and results to facilitate knowledge sharing and transparency within the team.
Learning Goals
* Understanding of Statistical Study Design:
* Gain foundational knowledge in selecting appropriate statistical methods and parameters for different types of study designs.
* Learn to formulate research questions and hypotheses suitable for statistical testing.
* Exposure to Data Science Techniques:
* Develop skills in data preparation techniques, including data cleaning, transformation, and integration.
* Acquire hands-on experience with statistical software and tools used in data analysis.
* Professional Development in Statistics:
* Enhance understanding of the statistical analysis lifecycle, including planning, analysis, interpretation of results, and reporting.
* Build proficiency in presenting complex statistical concepts and results to non-expert stakeholders.
* Collaboration and Networking:
* Improve teamwork and communication skills by working closely with statisticians and other team members.
* Build a professional network within the organization that can support career growth in data science and statistics.
Qualifications:
* Educational Background:
* Currently enrolled in or a recent graduate of a bachelor's degree program in Statistics, Mathematics, Data Science, Computer Science, or a related field.
* Technical Skills:
* Basic understanding of statistical methods and their applications.
* Experience with a programming language (e.g., R, Python) is preferred.
* Strong analytical and problem-solving skills.
* Personal Attributes:
* Keen interest in learning more about statistical analysis and data science.
* Ability to work effectively both independently and as part of a team.
* Excellent attention to detail and a commitment to delivering high-quality work.
* Communication Skills:
* Strong written and verbal communication skills.
* Ability to explain complex information in an understandable way.
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