Take Care Of Others
Biotech
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist at Take Care Of Others. Skills: machine learning, statistical methods, data analysis, predictive modeling, data visualization, reporting. Identify trends, root causes, and potential improvements in our products and processes. Develop and deploy basic machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets”
What You'll Achieve.
ensuring that patient voices are heard and addressed with utmost precision; address customer needs and opportunities; ensure consistency to healthcare standards and regulations; implement changes and monitor their impact
Industry & Context.
identify trends, root causes, and potential improvements; uncover structure in large data sets; uncover insights and root causes; foresee potential product issues and patient concerns
What They're Looking For.
Must Have
Master's / Bachelor's degree in Data Science, Statistics, Computer Science, Biomedical Engineering, or a related field, 8 to 12 years of experience with one or more analytic software tools or languages (e. g. , SAS, SPSS, Python), experience with data visualization tools like Square Two (S2), Spotfire, BioConnect, Tableau, Power BI, Smartsheet, or similar
Nice to Have
Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets, Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification, Experience in analyzing time-series data for forecasting and trend analysis, Experience with Data Bricks platform for data analytics, Experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements, Any Python, SA, Salesforce or SQL certification, Fluency in verbal and written English to be able to understand & articulate technical concepts
What You'll Do.
and potential improvements in our products and processes
Develop and deploy basic machine learning
and statistical methods to uncover structure in large data sets
Create analytics solutions to address customer needs and opportunities
and run large datasets related to product performance and patient complaints
Ensure data integrity
and accessibility for further analysis
Develop and maintain databases and data systems for storing patient complaints and product feedback
Analyze data to identify patterns
and correlations in patient complaints and product issues
Use advanced statistical methods and machine learning techniques to uncover insights and root causes
Develop analytics or predictive models to foresee potential product issues and patient concerns to address customer needs and opportunities
Prepare comprehensive reports and visualizations to communicate findings to collaborators
Present insights and recommendations to multi-functional teams
Collaborate with regulatory and compliance teams to ensure consistency to healthcare standards and regulations
See opportunities for product enhancements and process improvements based on data analysis
Work with product complaint teams to implement changes and monitor their impact
Stay abreast of industry trends
emerging technologies
and standard methodologies in data science and healthcare analytics
Evaluate data to support product complaints
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
Work in technical teams in development
and application of applied analytics
and prescriptive analytics
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Work with data engineers on data quality assessment
data cleansing and data analytics
and other projects artifacts to document
and communicate your work and outcomes
How You'll Work.
Team & Collaboration
Present insights and recommendations to multi-functional teams, including product development, quality assurance, and customer service; Collaborate with regulatory and compliance teams; Work alongside software developers and software engineers; Work in technical teams
Communication Scope
Fluency in verbal and written English to be able to understand & articulate technical concepts; Prepare comprehensive reports and visualizations to communicate findings to collaborators; Present insights and recommendations to multi-functional teams
Full Job Description
## **Career Category** Quality ## ## **Job Description** ## Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. ## **What you will do** Let’s do this. Let’s change the world. In this vital role you will identify trends, root causes, and potential improvements in our products and processes, ensuring that patient voices are heard and addressed with utmost precision. As the Sr Data Scientist at Amgen, you will be responsible for developing and deploying basic machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. ## ## Responsibilities: * Collect, clean, and run large datasets related to product performance and patient complaints. * Ensure data integrity, accuracy, and accessibility for further analysis. * Develop and maintain databases and data systems for storing patient complaints and product feedback. * Analyze data to identify patterns, trends, and correlations in patient complaints and product issues. * Use advanced statistical methods
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