Take Care Of Others

Biotech

SeniorDataScientist

Madurai, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Biotech
Problems you'll solve

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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