Job Description
Salary:
Purpose
The Biostatistician will support research on cell and tissue technologies through data analysis, study design, and statistical modeling. This role involves working with both small and large datasets, developing predictive models, generating effective visual representations of data, and assisting scientists with data interpretation and application.
Responsibilities
Perform basic and advanced data analysis, including statistical tests and regression modeling
Analyze large datasets, including -omics, imaging, and high-through-screening data
Design study groups and determine sample sizes for research studies
Advise scientists on study design and data collection methods
Develop models to identify trends and make predictions based on research data
Manage and integrate datasets, ensuring accuracy and consistency
Generate clear data visualizations for reports, presentations, and publications
Develop statistical analysis plans to guide data processing
Communicate data analysis and statistical findings to research teams in a clear and actionable way
Support publications, reports, and regulatory submissions with statistical analysis
Stay up to date with new methods in biostatistics, data science, and computational biology
Develop statistical sampling and statistical analysis procedures
Maintain a working knowledge of FDA 21 CFR 1271, FDA 21 CFR 820, AATB standards, ISO Standards, cGMP/CGTP, other relevant regulations/standards, and internal organizational policies and standard operating procedures
Travel domestically up to 10% to attend offsite meetings, conferences, and support business initiatives
Maintain acceptable attendance and punctuality for scheduled work hours and meetings
Ensure completion of assigned tasks and responsibilities within defined timeframes
Flexibility to work outside of normal business hours during weekdays or weekends with reasonable advance notice to support business/operational needs when necessary
Perform other duties as assigned
Skills
Excellent attention to detail to ensure data integrity, accuracy, and reproducibility
Proficiency in statistical software and programming (GraphPad Prism, R, SAS, Python, etc.) for data analysis and modeling
Strong statistical and analytical skills to work with both small and large datasets
Ability to develop predictive models and trend analyses to support research decision-making
Strong problem-solving skills to address challenges in data analysis and research methodologies
Ability to interpret and communicate statistical findings to scientists and research teams
Knowledge of regulatory guidelines for statistical analysis in biological research
Ability to work independently or in a collaborative, multidisciplinary research environment
Strong data visualization skills to present findings clearly and effectively
Ability to multi-task and work in a fast-paced environment
Qualifications/Requirements
Masters degree or Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or a related field, from an accredited college or university required
Minimum of 3 years of experience in statistical analysis and study design, preferably in biotechnology, life sciences, or biomedical research
Experience analyzing large biological datasets, such as omics or high-throughput screening data
Proficiency in statistical software and programming
Strong understanding of data visualization techniques for research communication
Publication or presentation experience in scientific journals or conferences
Familiarity with machine learning and predictive modeling is a plus
Bachelors degree with 5 years of experience in Biostatistics, or related field required may be substituted to meet Masters and/or Ph.D. degree requirement
Clearance of favorable background investigation required
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