Biostatistician

Key Skills

Apache Kafka, Database, DevOps, JavaScript, Linux Operating system, R Programming, SAS, Statistics, Tableau, Unix Operating system

Job Description

This research lab is looking for a Biostatistician with a strong interest and experience in academic clinical research. The successful candidate will join the analytic team and will work both independently and as part of a team to perform various activities including data management and analysis, interpretation of results, and support various research projects. The successful candidate will also work with investigators, post-graduate fellows, and students to complete various translational and clinical research projects using a variety of statistical techniques.

Specific Duties & Responsibilities

• Provide statistical input in the design, execution and analysis of studies.
• Develop and implement statistical analysis plans including data validation, descriptive statistics, data analyses, creation of graphs and figures, statistical testing and/or modeling.
• Manage and process multiple data sources prior to data analysis.
• Prepare written reports of statistical analyses, including relevant methods, results, conclusions, and references.
• Collaborate with other biostatisticians, data scientist, data analysts, and team members.
• Participate in the preparation of abstracts, posters, presentations, and manuscripts.

Additional Knowledge, Skills & Abilities

• Strong background in statistical principles and a range of statistical, epidemiological, machine learning methods (e.g. longitudinal data analysis, survival analysis, random forest).
• Ability to work in a fast-paced research environment managing multiple tasks with potentially competing timelines.
• Well-developed oral and written communication skills.
• Able to work independently and within a multi-disciplinary team.
• Demonstrated attention to detail.

Minimum Qualifications

• Master's Degree in Biostatistics, Epidemiology, or related quantitative field.
• One year related experience.
• Experience with statistical programming and completing statistical analysis in SAS or R.

• Demonstrated ability on significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

• At least two years of experience conducting data analysis.
• Previous experience analyzing genomic, transcriptomic, or proteomic data.
• Interest and experience in academic clinical research.