Highly skilled Biostatistician/ Statistician with extensive expertise in R, SPSS, STATA and Microsoft Excel with more than one year of industry experience and a total of 6+ years of experience. Fluent in English, providi…
Highly skilled Biostatistician/ Statistician with extensive expertise in R, SPSS, STATA and Microsoft Excel with more than one year of industry experience and a total of 6+ years of experience. Fluent in English, providing effective communication with diverse teams. Seeking a challenging role as a Biostatistician/ Statistician to utilize my strong analytical and problem-solving skills in a dynamic research environment.
•Processing, cleansing, and verifying the integrity of data used for analysis, employing advanced techniques to handle missing data and outliers, doing ad hoc analysis and presenting results in a transparent manner.
•Research and devise innovative statistical models for data analysis, specializing in
biostatistics applications to healthcare and life sciences datasets.
•Developing statistical methodologies for various statistical analysis, creation of mock shells and validation of TLFs for the same.
•Create anomaly detection systems and continually track their performance, implementing advanced statistical methodologies to detect abnormalities in data.
•Lead statistician for sample size calculation by using different sampling techniques like stratified sampling, cluster sampling, randomization and systematic sampling.
•Conduct cross validation of models to ensure their generalizability and robustness across different datasets and scenarios.
•Select and employ advanced deep learning and machine learning based solutions to solve various real world problems in healthcare and biostatistics domains.
•Ensure the integrity and accuracy of statistical analyses through rigorous quality control and validation processes.
•Mentor junior statisticians, providing practical guidance and support in their professional development. Conduct training sessions to enhance the statistical expertise of team members.
Conducted statistical analysis on large datasets using advanced software packages to support research projects and provide insights for decision-making processes.
Development of statistical analysis plan (SAP), and data presentation plan (DPS).
Collaborated with interdisciplinary teams of researchers and scientists to design and implement study protocols, ensuring quality control and data integrity throughout the research process.
Implemented data preprocessing techniques and feature engineering methods to optimize model performance and enhance predictive accuracy.
Developed and implemented statistical models and algorithms to analyse complex biological data, identifying patterns and trends to support evidence-based recommendations.
Developed and deployed predictive models using programming languages such as Python, R, and SPSS, leveraging packages including data.table, dplyr, tidyr and knitr etc.
Worked as a statistical expert for exploratory analysis, tables, and figures for publications.
Working on manuscripts, abstracts, posters, and presentations for various conferences as requested by the medical affairs.
Presented research findings and statistical analysis results to diverse audiences, including non-technical stakeholders, using clear and concise language to facilitate understanding and informed decision making.
Processing, cleansing, and verifying the integrity of data used for analysis, employing advanced techniques to handle missing data and outliers, doing ad-hoc analysis and presenting results in a transparent manner.
Research and devise innovative statistical models for data analysis, specializing in biostatistics applications to healthcare and life sciences datasets.
Developing statistical methodologies for various statistical analysis, creation of mock shells and validation of TLFs for the same.
Create anomaly detection systems and continually track their performance, implementing advanced statistical methodologies to detect abnormalities in data.
Lead statistician for sample size calculation by using different sampling techniques like stratified sampling, cluster sampling, randomization and systematic sampling.
Conduct cross-validation of models to ensure their generalizability and robustness across different datasets and scenarios.
Select and employ advanced deep learning and machine learning-based solutions to solve various real-world problems in healthcare and biostatistics domains.
Ensure the integrity and accuracy of statistical analyses through rigorous quality control and validation processes.
Mentor junior statisticians, providing practical guidance and support in their professional development.
Conduct training sessions to enhance the statistical expertise of team members.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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