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Biostatistician (Remote) Jobs
Company | Cambridge Technology Enterprises (CTE) |
Address | , Remote |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-10-17 |
Posted at | 9 months ago |
Join the Cambridge Technology team and grow your career. We are solving real-world problems with creative innovation at some of the most recognizable corporations in the world.
From building entire infrastructures or platforms to solving complex IT challenges, we help businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.
We are seeking a talented Biostatistician that possesses a high level of proficiency in statistical analysis and programming languages including R, SAS, SPSS, STATA, and MATLAB. You would join a very creative team solving critical world problems.
Skills Required:
- Work with clinical statistics, data sciences, statistical programming, and other stakeholders to evaluate existing databases, including clinical studies and real-world databases.
- Ensuring the validity and reliability of research results and identifying potential sources of error.
- Conducting statistical analysis of biological data to support scientific research.
- Participating in the development of research protocols and statistical analysis plans.
- Designing and implementing clinical trials, surveys, and experiments.
- Create detailed and actionable evidence-generation analysis plans in order to deliver high-quality evidence and insights to drive decisions.
- Using statistical modeling techniques to resolve biological research problems.
- Interpreting the results of statistical analyses and communicating findings to stakeholders.
- Developing and testing hypotheses in a scientific research environment.
- Analyzing data from experiments, clinical trials, and surveys.
Experience:
- Ph.D. in Biostatistics or equivalent with at least 5 years of pharmaceutical, biotechnology, or equivalent experience.
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