Are you passionate about data analytics, cloud technologies, and healthcare solutions? ClinicMind, a leading healthcare SaaS platform, is hiring a Junior Data Scientist to work remotely from Bengaluru, India. This role is ideal for entry-level candidates looking to gain hands-on experience in AWS analytics tools, data visualization, and data-driven business insights.

ClinicMind helps healthcare providers enhance patient care, improve financial performance, and maximize revenue cycle efficiency through EHR, RCM, and Patient Engagement automation. As a Junior Data Scientist, you’ll support data-driven decision-making and contribute to innovative solutions that impact healthcare outcomes.

Job Overview Table

Job Title	Junior Data Scientist
Location	Bengaluru, Karnataka, India (Remote)
Company	ClinicMind
Employment Type	Full-time, Fully Remote
Industry	Healthcare SaaS / Data Analytics
Key Tools	Amazon QuickSight, Amazon Redshift, SQL, Python (optional)
Education Required	Bachelor’s in CS, Statistics, Mathematics, Data Analytics or related field
Experience Level	Entry-level
Salary Range	₹4–8 LPA (Estimated)
Career Growth	Junior Data Scientist → Data Scientist → Senior Data Scientist → Data Analytics Lead

About ClinicMind

ClinicMind is a healthcare SaaS company that enables providers to optimize practice operations, improve financial outcomes, and deliver exceptional patient care. The platform integrates EHR, revenue cycle management (RCM), and patient engagement tools, helping healthcare organizations automate workflows and drive sustainable growth.

Working at ClinicMind provides exposure to cloud-based analytics, advanced reporting, and visualization tools, and the opportunity to contribute to healthcare innovation.

Purpose of the Role

The Junior Data Scientist role at ClinicMind focuses on:

• Supporting the Data Science team in analyzing and preparing data.
• Creating insightful dashboards and visual reports using Amazon QuickSight.
• Maintaining scalable data workflows in Amazon Redshift.
• Conducting exploratory data analysis (EDA) to discover patterns and trends.
• Collaborating with cross-functional teams (Operations, Product, Engineering) to support data-driven decisions.

This position is perfect for candidates who are passionate about cloud analytics, healthcare technology, and business intelligence.

Key Responsibilities

1. Data Management & Preparation

• Extract, clean, and manage datasets from Amazon Redshift and related AWS sources.
• Ensure data quality, consistency, and completeness for accurate analytics.
• Maintain proper schemas, joins, and pipelines to support downstream analysis.

2. Visualization & Reporting

• Build and maintain Amazon QuickSight dashboards to highlight trends, KPIs, and insights.
• Automate recurring reporting workflows and improve dashboard interactivity.
• Present insights to stakeholders in a clear and actionable manner.

3. Data Analysis & Insights

• Conduct EDA (Exploratory Data Analysis) to uncover trends and correlations.
• Provide ad-hoc analysis for business teams to support decision-making.
• Translate data findings into actionable business recommendations.

4. Collaboration & Support

• Work closely with the Data Science Team Lead and cross-functional teams.
• Participate in sprint reviews, data validation, and stakeholder discussions.
• Support continuous improvement in analytics workflows.

5. Continuous Learning & Innovation

• Stay updated with AWS analytics services, BI tools, and visualization best practices.
• Contribute ideas for improving efficiency, dashboard design, and automation.

Skills & Qualifications

Must-Have Skills:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Analytics, or related field.
• Hands-on experience with Amazon QuickSight for dashboards and reporting.
• Knowledge of Amazon Redshift including queries, schemas, joins, and pipelines.
• Proficiency in SQL for data extraction and transformation.
• Strong analytical mindset and attention to detail.
• Good communication and presentation skills.

Optional / Desirable Skills:

• Exposure to Python or R.
• AWS certifications such as AWS Certified Data Analytics or QuickSight Author Certification.
• Familiarity with cloud concepts like AWS Cloud Practitioner Essentials.

Work-from-Home Requirements:

• Stable internet connection (min 25 Mbps) + mobile data backup.
• Quiet work environment with WFH setup.
• Comfortable working US Eastern Time business hours.
• System requirements: Latest i5/i7 CPU, 16–32 GB RAM, SSD storage.

Career Growth Opportunities

A Junior Data Scientist at ClinicMind can advance through:

1. Data Scientist – Take ownership of analytics projects and advanced modeling.
2. Senior Data Scientist – Lead data-driven initiatives and mentor juniors.
3. Data Analytics Lead / Manager – Oversee data operations, dashboards, and strategy.
4. Specialized Roles – Move into machine learning, AI, or cloud data engineering roles.

ClinicMind promotes learning and innovation, offering opportunities to gain AWS certifications and expertise in healthcare analytics.

Why Join ClinicMind?

• Work fully remote from Bengaluru or anywhere in India.
• Hands-on experience with cloud-based analytics and BI tools.
• Contribute to healthcare innovation and improved patient outcomes.
• Exposure to cross-functional collaboration and modern SaaS workflows.
• Opportunity to grow from entry-level to senior analytics roles.

Conclusion

The Junior Data Scientist role at ClinicMind is an excellent opportunity for entry-level professionals who are passionate about data analytics, cloud technologies, and healthcare innovation. Working fully remote, you will gain hands-on experience with Amazon QuickSight, Redshift, and SQL, develop analytical skills, and contribute to data-driven business decisions that impact patient care and operational efficiency.