Data Scientist with RWD experience Job at GrayMatter 2024 | Apply Now

• Role: Data Scientist with RWD experience
• Location: Guadalajara, Mexico 
• Work Type: Full-time  
• Company: Greymatter Innovations
• Salary: Not Disclosed

About GrayMatter Company

GrayMatter, as a Business Intelligence and Analytics agency, has deep enjoyment in executing BI, Analytics, Big Data and Data Science tasks masking records integration, facts governance, dashboards & reviews, ad-hoc evaluation, migration, massive statistics analytics, information technology, actual-time analytics, cell BI, cloud BI

Data Scientist with RWD experience Job Description

A Data Scientist with Real-World Data (RWD) is a specialized professional in the healthcare and life sciences sectors. They are liable for reading large datasets derived from actual international resources along with electronic fitness information (EHRs), coverage claims, and affected person registries. These insights pressure scientific studies, and product development, and improve patient results.

Data Scientist with RWD experience Roles

• Data Acquisition and Management: Acquire and control real-world information from healthcare databases, ensuring facts integrity and compliance.
• Data Analysis and Modeling: Perform exploratory statistics evaluation and expand statistical models to research RWD.
• Insight Generation: Generate actionable insights from RWD to assist medical studies and healthcare choice-making.
• Collaboration: Work with move-functional groups such as clinicians and enterprise analysts to integrate RWD insights into strategic choices.
• Reporting and Visualization: Create particular reviews and visualizations to offer records and findings genuinely to stakeholders.

Data Scientist with RWD experience Required Skills

• Technical Proficiency: Expertise in programming languages like Python and R for records manipulation and evaluation.
• Statistical Analysis: Strong background in statistical techniques, hypothesis checking out, and experimental design.
• Machine Learning: Experience with device mastering frameworks and techniques for predictive modeling.
• Data Visualization: Ability to use equipment like Tableau, Power BI, or ggplot2 to create meaningful facts visualizations.
• Data Management: Proficiency in SQL and familiarity with big data technologies including Hadoop and Spark.

Education and Qualifications

• Bachelor’s Degree: In fields inclusive of Data Science, Statistics, Computer Science, Epidemiology, or a related discipline.
• Master’s Degree or Ph.D.: Advanced degrees in relevant fields are incredibly acceptable for deeper information.
• Certifications: Relevant certifications in information technological know-how, device gaining knowledge of, or healthcare analytics (e.g., Certified Analytics Professional, Microsoft Certified: Azure Data Scientist Associate).
• Experience: Three years of experience in statistics technological know-how with a focal point on healthcare and real-global information analytics.
• Industry Knowledge: Understanding of healthcare records resources, terminologies, and regulatory requirements (e.g., HIPAA).

Key Responsibilities

• Data Integration: Integrate RWD from multiple sources to create comprehensive datasets for analysis, making sure standardization and harmonization.
• Advanced Analytics: Apply advanced statistical techniques and system learning strategies to extract insights from RWD and broaden predictive models.
• Reporting and Presentation: Develop comprehensive reports and displays to communicate findings to stakeholders, making complicated information on hand and comprehensible.
• Regulatory Compliance: Ensure all facts handling and analysis approaches comply with applicable regulatory and privacy standards (e.g., HIPAA, GDPR), staying up to date on regulatory modifications.
• Innovation and Development: Drive innovation in data analysis techniques and equipment, participate in the improvement of the latest products and services primarily based on RWD insights, and mentor junior facts scientists to decorate the team’s abilities.

The function of a Data Scientist with RWD revel in entails the following unique activities:

Data Acquisition and Management: Acquiring facts includes identifying relevant statistics resources and extracting data in a usable layout. This consists of managing records from EHRs, coverage claims, and affected person registries. The management thing includes cleaning, preprocessing, and ensuring data is pleasant. Compliance with records privacy policies, which include HIPAA, is important.

Data Analysis and Modeling: Conducting exploratory facts evaluation (EDA) helps in understanding the underlying styles and developments in the records. Developing statistical fashions includes applying diverse algorithms to investigate the facts. This ought to include predictive modeling, which helps forecast future outcomes based on historical statistics. Validating those fashions ensures they carry out appropriately on new, unseen data.

Insight Generation: The primary goal is to turn raw records into actionable insights. This entails deciphering the information to offer significant statistics that may affect clinical research and healthcare decisions. Communicating these insights successfully to stakeholders is important, often requiring the ability to translate complex statistical results into comprehensible terms.

Collaboration: Collaboration is fundamental in integrating records insights into broader organizational strategies. This consists of operating with clinicians to apprehend scientific implications, partnering with business analysts to align with business dreams, and coordinating with IT for technical implementation.

Reporting and Visualization: Creating specific reviews includes summarizing the findings from information analysis in an established format. Data visualization gear like Tableau or Power BI are used to create visual representations of the statistics, making it simpler to pick out developments and styles. These visualizations are important for showing to stakeholders, helping them grasp the information-driven insights speedy.

Apply Now: Data Scientist with RWD experience

More Jobs

Recruitment Talent Acquisition

Business Analyst Software Development