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Data Scientist - Biostatistics

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Kaiser Permanente

Oakland, California, US

1 month ago
full-time
No degree mentioned

Job highlights

Qualification

In this role, you will be responsible for collaborating with a multidisciplinary team of data scientists and medical professionals to develop and implement biostatistical methods and models to support the organization’s research and clinical initiatives.We are seeking a candidate with a Master’s degree in biostatistics, public health, or a related field as well as at least three years of experience in biostatistical analysis and programming in SAS and/or R. The ideal candidate will have a strong background in data mining, predictive modeling, and machine learning techniques

Responsibility

Develop and implement biostatistical methods and models to support Kaiser Permanente's research and clinical initiatives. Collaborate with a multidisciplinary team of data scientists and medical professionals to ensure quality and accuracy of biostatistical models. Utilize SAS and/or R to perform data mining, predictive modeling, and machine learning techniques. Stay up to date with the latest developments in biostatistics and healthcare research. Ensure compliance with applicable regulations and ethical standards. Interpret and communicate research results and implications to various stakeholders. Provide technical advice and guidance to other members of the data science team. Prepare reports, presentations, and other materials to support research projects. Participate in the development and implementation of data collection strategies. Assist with developing and maintaining efficient data processing systems

Job Description

Description

Are you a passionate and experienced Biostatistician looking for an opportunity to make a real difference in the healthcare industry? Kaiser Permanente is looking for a Data Scientist - Biostatistics to join our dynamic team of data experts. In this role, you will be responsible for collaborating with a multidisciplinary team of data scientists and medical professionals to develop and implement biostatistical methods and models to support the organization’s research and clinical initiatives.We are seeking a candidate with a Master’s degree in biostatistics, public health, or a related field as well as at least three years of experience in biostatistical analysis and programming in SAS and/or R. The ideal candidate will have a strong background in data mining, predictive modeling, and machine learning techniques. Knowledge of medical literature and medical terminology is a plus.If you have an unwavering commitment to the highest standards of excellence and a desire to work in the healthcare field, we want to hear from you. Apply now to join our team and help us make a difference in the lives of our patients and community. Responsibilities: Develop and implement biostatistical methods and models to support Kaiser Permanente's research and clinical initiatives. Collaborate with a multidisciplinary team of data scientists and medical professionals to ensure quality and accuracy of biostatistical models. Utilize SAS and/or R to perform data mining, predictive modeling, and machine learning techniques. Stay up to date with the latest developments in biostatistics and healthcare research. Ensure compliance with applicable regulations and ethical standards. Interpret and communicate research results and implications to various stakeholders. Provide technical advice and guidance to other members of the data science team. Prepare reports, presentations, and other materials to support research projects. Participate in the development and implementation of data collection strategies. Assist with developing and maintaining efficient data processing systems. Kaiser Permanente is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.