Biostatistician Jobs in Minnesota
A Biostatistician in the biotechnology industry applies statistical principles to design research studies, analyze and interpret data from these studies to drive decision-making and innovation. They play a key role in drug development, from pre-clinical trials to post-market surveillance, by ensuring data integrity and validity. They design and maintain databases, develop statistical analysis plans and perform complex statistical analyses, prepare reports and publications, and contribute to regulatory submissions. They also collaborate with scientists, clinicians, and other professionals to address complex biological problems and improve patient health outcomes.
Important skills for a Biostatistician include statistical software proficiency (like R, SAS, or Python), data management and analysis, problem-solving, critical thinking, and communication skills. Master's or Ph.D. in Biostatistics or related field is often required. Professional certifications like Certified Health Data Analyst (CHDA) or SAS Certified Statistical Business Analyst can be beneficial. Prior to becoming a Biostatistician, one might have roles such as a Research Assistant, Data Analyst, or Statistical Analyst in fields like public health, clinical research, or pharmaceuticals.
) and expertise in at least one of the following: Advanced Survival Analysis, Statistical Genetics, Clinical Trial Design....
Demographic Data for Minnesota
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Biostatistician Online Courses and Training Opportunities
Salary for Biostatistician Jobs in Minnesota
Highest Education Level
Biostatisticians in Minnesota offer the following education backgroundQualifications / Skill Sets
The following top skills are often required or desired to land a Biostatistician position
- IBM SPSS Statistics
- Keras
- Neural Networks
- Jupyter Notebook
- ICH GCP
- Assay Development
- Institutional Review Board
- Biomarkers
- Genomics
- Gene Therapy
- Proteomics
- ICH Guidelines
- Medical Affairs
- Next-Generation Sequencing
- Biostatistics
- Drug Discovery
- Computational Biology
- Scientific Research
- Bioinformatics
- Biology
- Drug Development
- Medical Writing
- Experimental Design
- Epidemiology
- Clinical Trials
- Clinical Research
- Neuroscience
- Validation
- Oncology
- R Programming
- Data Science
- FDA Regulations
- Statistical Analysis System
- Data Collection
- Public Health
- Machine Learning
- Masters In Education
- Data Management
- Computer Programming
- Statistics
- Health Care
- Collections
- Quality Control
- Python
- Investigation
- Written Communication
- Presentation
- Education Experience
- Data Analysis
- Documentation
- Collaboration
- Reporting
- Regulations
- Microsoft Office
- Research Skills
- Time Management
- Organization
- Scheduling
- Computer Skills
- Leadership
- Communication Skills
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