Intern, Biostatistics

Key Skills

Algorithms, Biostatistics, Machine learning techniques, R Programming, Statistical modeling

Job Description

This application is for a 12-week internship role from June - August 2023. Resume review begins in January 2023.

The Biostatistics Department in the Analytics and Data Sciences organization provides statistical support across Research and Development. The clinical statisticians in the biostatistics group collaborate with stakeholders from different disciplines to develop agile and robust clinical development plans and decision frameworks for portfolio of products encompassing early and late-stage development. They also provide statistical expertise and manage the activities for clinical programs to ensure valid and efficient study designs. The activities include but are not limited to participating in protocol development, developing analysis plans, performing statistical analyses, interpreting statistical results, and preparing clinical study reports.

Position Description

For the summer intern projects, you will require to read and synthesize key methodology papers, efficiently develop simulation code in R or other statistical package and explore results in a systematic way. Any new code should be documented and packaged in a user-friendly way, to encourage broader use in the department. A final technical write-up and presentation will be expected.

Example projects may include:

• A Bayesian Framework for Manufacturing Process Data Analysis
• Design and analysis considerations in an inferential seamless Phase 2/3 design using an early outcome for treatment selection in Part 1 (Phase 2)
• Joint Modeling of Correlated Longitudinal Clinical Outcomes of Mixed Types
• A Comparison of Propensity Score Matching and Machine Learning based Data Matching Algorithms Using Registry Data
• Aggregate Analysis of Blinded Data for IND Safety Monitoring and Reporting
• Investigation of Joint Rank Test in ALS and Rank Test in AD
• Bayesian Hierarchical Models on Multiple Outcomes and Applications
• Modeling Disease Progression in Alzheimer’s Disease Using Machine Learning Approaches
• High-dimensional mediation analysis with application to patient reported outcome

Qualifications:

• Experience of performing statistical analysis with R, SAS and other statistical packages.
• Knowledge or interest working in biotechnology industry.
• Ability to translate data into business insights.

To participate in the Biogen Internship Program, students must meet the following eligibility criteria:

• Legal authorization to work in the U.S.
• At least 18 years of age prior to the scheduled start date
• Be currently enrolled in an accredited college or university

Education

Currently enrolled in a PhD program

Additional Information

All your information will be kept confidential according to EEO guidelines