Biostatistics Intern

Position Summary:

The Biostatistics intern will contribute to the development and application of innovative statistical methods for high-dimensional causal inference and machine learning to evaluate the effectiveness of therapeutics on health outcomes in serious skeletal and cardiac muscle diseases. This work will involve the analysis of high-dimensional biological data, with a focus on identifying treatment effects and improving understanding of disease mechanisms through advanced quantitative methods.

Key Responsibilities:

• Clean, manage, and analyze complex, high-dimensional datasets using programming tools such as SAS, R and Python
• Apply statistical, causal inference, and machine learning methods to real-world biomedical data
• Develop reproducible workflows for data processing and analysis
• Summarize findings through written reports and visualizations
• Present analytical approaches and results to interdisciplinary team members
• Review and summarize relevant scientific literature to inform ongoing research
• Collaborate with team members on research design, methodology, and interpretation of results
• Read, understand, and comply with all workplace health and safety policies; safe work practices; and company policies and procedures.
• Perform other duties as assigned by supervisor.

Requirements:

Education, Experience, Skills:

• Currently enrolled in a Doctorate program in Biostatistics, Statistics, Data Science, or a related quantitative field
• Proficiency in programming languages such as SAS, R and/or Python
• Strong foundation in statistical methods and data analysis
• Experience or familiarity with causal inference methods
• Experience or interest in machine learning methods, particularly for high-dimensional data
• Ability to work with complex and large-scale datasets
• Strong problem-solving and analytical skills
• Effective written and verbal communication skills
• Ability to work both independently and collaboratively in a team environment
• Prior experience analyzing biomedical or high-dimensional datasets
• Coursework or research experience in biostatistics, statistics, data science, or related field
• Familiarity with causal inference frameworks and/or machine learning methods
• Experience with data visualization and scientific reporting

Candidate must be located in Colorado.

Salary range: $20/hour; internship runs for 8-10 weeks

There is no deadline because the employer accepts applications on an ongoing basis.

Edgewise does not accept resumes from recruitment agencies for this position. Please do not send resumes to Edgewise employees or the company location. Edgewise is not responsible for any fees related to unsolicited resumes.