Tbwa Chiat/Day Inc
Staff Machine Learning Data Scientist in Epidemiology and Patient Data Products
Tbwa Chiat/Day Inc, Oklahoma City, Oklahoma, United States,
Staff Machine Learning Data Scientist in Epidemiology and Patient Data Products
RemoteAbout UsValo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success.We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together.About the RoleAs a
Staff Machine Learning Data Scientist in Epidemiology and Patient Data Products,
you will be a core member on a team of data scientists building a powerful computational platform for advancing the discovery and development of new medicines. In this role, you will develop machine learning tools for patient data and expand their uptake across teams.What You'll Do...Lead knowledge translation machine learning models and predictions of patient data with diverse stakeholders.Perform hands-on analysis and modeling of highly dimensional longitudinal patient data using R and Python in cloud environments.Contribute to the design, implementation, and evaluation of innovative machine learning approaches of patient data.Embrace curiosity and creative solutions in the face of scientific uncertainty.Articulate and break down large problems into solvable pieces.Champion and adopt shared coding standards, participate in code review, and provide regular updates of your work.What You Bring...MPH, MS with 5+ years or PhD in health sciences, biostatistics, or a quantitative field with 3+ years of work-related experience
applying epidemiological, statistical, and/or machine learning methods to real-world datasets.3+ years of experience
developing and implementing machine learning in health care databases.Extensive experience developing and maintaining machine learning pipelines.Confident in executing broad machine learning approaches.Proficient in Python (3+ years required) and experience with machine learning packages.Comfortable working in ambiguous problem spaces.Ability to lead and facilitate meetings and work collaboratively.Exceptional time management and prioritization skills.Enthusiastic about documentation of analyses.Nice to have...Advanced knowledge of biostatistics approaches.Familiarity with traditional drug discovery and development processes.Familiarity with integrated clinico–omics datasets.Apply for this job
First Name *Last Name *Email *PhoneResume/CVLinkedIn ProfileWebsite
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RemoteAbout UsValo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success.We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together.About the RoleAs a
Staff Machine Learning Data Scientist in Epidemiology and Patient Data Products,
you will be a core member on a team of data scientists building a powerful computational platform for advancing the discovery and development of new medicines. In this role, you will develop machine learning tools for patient data and expand their uptake across teams.What You'll Do...Lead knowledge translation machine learning models and predictions of patient data with diverse stakeholders.Perform hands-on analysis and modeling of highly dimensional longitudinal patient data using R and Python in cloud environments.Contribute to the design, implementation, and evaluation of innovative machine learning approaches of patient data.Embrace curiosity and creative solutions in the face of scientific uncertainty.Articulate and break down large problems into solvable pieces.Champion and adopt shared coding standards, participate in code review, and provide regular updates of your work.What You Bring...MPH, MS with 5+ years or PhD in health sciences, biostatistics, or a quantitative field with 3+ years of work-related experience
applying epidemiological, statistical, and/or machine learning methods to real-world datasets.3+ years of experience
developing and implementing machine learning in health care databases.Extensive experience developing and maintaining machine learning pipelines.Confident in executing broad machine learning approaches.Proficient in Python (3+ years required) and experience with machine learning packages.Comfortable working in ambiguous problem spaces.Ability to lead and facilitate meetings and work collaboratively.Exceptional time management and prioritization skills.Enthusiastic about documentation of analyses.Nice to have...Advanced knowledge of biostatistics approaches.Familiarity with traditional drug discovery and development processes.Familiarity with integrated clinico–omics datasets.Apply for this job
First Name *Last Name *Email *PhoneResume/CVLinkedIn ProfileWebsite
#J-18808-Ljbffr