United States onlyAbout DrFirst
DrFirst is an innovative Health IT company with a mission to create user-friendly solutions so that doctors can treat their patients quickly, efficiently, and safely. Over 300,000 healthcare professionals, 120,000 prescribers, 67,000 pharmacies, and 60% of the healthcare IT vendors in the market depend on us every day to reduce clinical errors and improve patient outcomes. This is a great opportunity to be a part of a successful Healthcare IT company experiencing significant growth. We have a proven product, brand-name customers, and are backed by leading investors. Here you'll get to work with some of the smartest and most interesting people around; solving unique and complex challenges in healthcare on a scale matched by a few companies. If you get excited about stretching yourself in new ways, developing yourself to your fullest potential, care about working with smart colleagues; we want to talk to you!
Position 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
What you will work on
- 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.
