ClinicMind Junior Data Scientist Hiring 2025: Freshers Apply Now | Work From Home | AWS + QuickSight Role!
In today’s fast-evolving healthcare ecosystem, technology plays a crucial role in improving patient experience, enhancing operations, and boosting financial performance. ClinicMind, a leading Healthcare SaaS platform, is at the forefront of this transformation. The company empowers healthcare providers with a powerful suite of integrated solutions, including Electronic Health Records (EHR), Revenue Cycle Management (RCM), and intelligent patient-engagement automation.
.png)
With a combination of cutting-edge tools, automation, and exceptional service delivery, ClinicMind helps healthcare organizations maximize revenue, streamline workflows, and deliver high-quality care. For freshers who want to break into Data Science within the healthcare domain, this opportunity provides the perfect foundation to learn, grow, and make a real-world impact.
✨ Position Overview: Junior Data Scientist (Fresher-Friendly)
ClinicMind is hiring a Junior Data Scientist, a role designed for individuals who are passionate about data, analytics, business intelligence tools, and cloud technologies. This is an ideal starting point for fresh graduates who want hands-on learning in a professional, data-driven environment.
As a Junior Data Scientist, you will work closely with the Data Science team and gain experience in real-world data management, visualization, analytics, and automation using Amazon QuickSight, Amazon Redshift, and other AWS-based tools.
This role is a fantastic opportunity for candidates who want to build strong foundations in cloud analytics and data science while contributing directly to business decisions.
🔍 Key Responsibilities in Detail
As a Junior Data Scientist, your work will span across the entire data lifecycle—from extraction to reporting to insights generation. Here’s what you will be doing:
1️⃣ Data Management & Preparation
You’ll begin by working with large datasets stored across different AWS platforms. Your responsibilities include:
-
Extracting and cleaning datasets from Amazon Redshift and other AWS environments
-
Ensuring data accuracy and consistency before analysis
-
Preparing data for dashboards, reports, and analytical models
This step is crucial because high-quality data directly improves the quality of insights and business decisions.
2️⃣ Visualization & Reporting
Data is only valuable when the insights are communicated effectively.
You will:
-
Build and maintain interactive dashboards using Amazon QuickSight
-
Develop visual reports that highlight business trends, performance metrics, and KPIs
-
Automate dashboards and recurring reporting tasks
-
Improve dashboard performance, design, and user experience
This responsibility helps you build strong BI and visualization skills—highly important in every data science role today.
3️⃣ Data Analysis & Insight Generation
A major part of your work involves understanding patterns, identifying trends, and supporting data-driven decisions.
Key activities include:
-
Conducting Exploratory Data Analysis (EDA)
-
Discovering hidden trends and correlations within datasets
-
Supporting business teams with ad-hoc analyses
-
Presenting findings in a simple, easy-to-understand format
This role will sharpen your analytical thinking, storytelling ability, and problem-solving skills.
4️⃣ Collaboration with Cross-Functional Teams
You won’t be working alone—ClinicMind encourages teamwork and cross-functional learning.
You’ll collaborate with:
-
Data Science Team Lead
-
Operations teams
-
Product development teams
-
Engineering teams
You will also join sprint meetings, data validations, and stakeholder review sessions. This exposure helps you understand how data drives decisions across different departments.
5️⃣ Continuous Learning & Innovation
The company values innovation and encourages you to keep learning. You will:
-
Stay updated with the latest AWS analytics tools
-
Explore best practices in BI, dashboards, and automation
-
Suggest improvements to speed up workflows
-
Contribute ideas that enhance visualization quality and reporting efficiency
This ensures you continue growing in your career while adding value to the company.
🎓 Skills & Qualifications Required
To be a strong fit for this role, you should have:
Educational Background
-
Bachelor’s degree in:
-
Computer Science
-
Statistics
-
Mathematics
-
Data Analytics
-
Or relevant fields
-
Technical Skills
-
Hands-on experience with Amazon QuickSight (dashboarding & reporting)
-
Understanding of Amazon Redshift (queries, schemas, joins, pipelines)
-
Strong SQL queries for extraction and transformation
-
Basic knowledge of Python or R (preferred but optional)
Soft Skills
-
Analytical mindset
-
High attention to detail
-
Clear communication and presentation skills
🏅 Preferred Certifications (Boost Your Application!)
Not mandatory, but highly valuable:
-
AWS Certified Data Analytics
-
Amazon QuickSight Author Certification
-
AWS Cloud Practitioner
These certifications show employers that you’re serious about your data analytics career.
💻 Must-Have Requirements (Work-from-Home Ready)
To work efficiently, you’ll need:
-
Stable internet connection (minimum 25 Mbps)
-
Mobile data backup plan
-
Quiet home office environment
-
Ability to work US Eastern Time hours
-
Laptop with:
-
Latest i5 with SSD (i7 preferred)
-
16 GB RAM (32 GB preferred)
-
🌟 Why This Role Is Great for Freshers
This role is a perfect launchpad for freshers who want to break into data science but lack experience. You get:
-
Hands-on experience with real-world business data
-
Exposure to AWS analytics tools (high demand globally)
-
Opportunities to build dashboards, automate workflows, and work on live projects
-
Continuous mentorship from experienced data scientists
-
A strong foundation for higher-level roles like Data Analyst, BI Analyst, or Data Scientist
If you want a high-growth, practical entry into the Data Science world—this is it.
📌 Final Thoughts
The Junior Data Scientist role at ClinicMind is more than just a job—it’s a stepping stone into a future-proof career. With access to cloud technologies, real-time datasets, and cross-functional exposure, you’ll develop skills that every company is looking for today.
Whether you're aiming to become a Data Analyst, Data Engineer, or full-fledged Data Scientist, this role sets you on the right path.
How to Apply for the drive:-
Through the following link, any qualified and interested individuals can submit an online application for this drive-in.
.png)
.png)
