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Associate Data Scientist Remote Job at Clario

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Apply for Associate Data Scientist at Clario 2026. Check eligibility, salary, skills, and application process for data science careers India.

Introduction

If you’re looking to build a career in clinical data science and work on impactful healthcare solutions, this opportunity could be a strong fit. The Associate Data Scientist at Clario role offers hands-on exposure to real-world clinical datasets, advanced analytics, and machine learning applications. This position is ideal for candidates who want to contribute to healthcare innovation while growing in a global organization.


Job Overview

DetailsInformation
Job TitleAssociate Data Scientist
Company NameClario
LocationBangalore, India / Remote (India)
Employment TypeFull-Time
DepartmentData Science / Clinical Data Analytics
Experience Required1โ€“3 Years
EducationBachelorโ€™s in Computer Science, Statistics, Mathematics, or related field
SalaryAs per company standards

Company Overview

Clario is a global leader in clinical trial solutions, helping pharmaceutical and biotech companies generate high-quality evidence for regulatory approvals and research. The company specializes in advanced data analytics, endpoint technologies, and scientific expertise to accelerate drug development. With a strong presence in healthcare innovation, Clario supports life-saving therapies through reliable and data-driven insights.


Job Location & Employment Type

  • Location: Bangalore (Hybrid/Remote within India)
  • Employment Type: Full-time permanent role

This flexible setup allows professionals to work in a collaborative environment while maintaining work-life balance.


Open Positions / Department Details

  • Department: Clinical Data Science
  • Role focuses on data analytics, machine learning, and clinical research support
  • Works closely with clinical scientists, statisticians, and cross-functional teams

Key Roles & Responsibilities

As an Associate Data Scientist in Clario, your responsibilities will include:

  • Collecting, organizing, and managing clinical datasets for research and development
  • Performing data cleaning and transformation to ensure high-quality datasets
  • Applying statistical techniques such as regression analysis and clustering
  • Developing predictive models using machine learning algorithms
  • Supporting clinical research and regulatory submissions with accurate data insights
  • Improving data collection methods to enhance analytics performance
  • Conducting exploratory and ad-hoc data analysis
  • Presenting analytical findings in a clear and structured format
  • Collaborating with internal teams for strategic decision-making
  • Ensuring compliance with data standards and regulatory requirements
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Eligibility Criteria

Education

  • Bachelorโ€™s degree in:
    • Computer Science
    • Statistics
    • Mathematics
    • Or any related quantitative discipline

Experience

  • 1 to 3 years of experience in:
    • Data analytics
    • Data mining
    • Market research

Skills Required

  • Programming knowledge in Python, R, and SQL
  • Strong understanding of data visualization tools like Power BI, D3.js, or GGplot
  • Knowledge of machine learning techniques such as:
    • k-NN
    • Naive Bayes
    • Support Vector Machines (SVM)
    • Decision Trees / Forests
  • Strong statistical analysis skills
  • Ability to handle large datasets efficiently
  • Good communication and presentation skills
  • Problem-solving mindset with analytical thinking

Salary & Benefits

  • Salary: As per company standards
  • Provident Fund benefits
  • Comprehensive health insurance coverage
  • Employee wellness initiatives
  • Flexible work arrangements
  • Modern workplace infrastructure
  • Career development and learning opportunities

Selection Process

The recruitment process generally includes:

  1. Application screening
  2. Technical assessment or assignment
  3. Interview rounds (technical + HR)
  4. Final selection and offer

How to Apply

Interested candidates can apply through the official online application portal of the company.
Make sure your resume highlights relevant skills in data science, machine learning, and clinical analytics.


Important Dates

  • Application Status: Open
  • Apply as soon as possible to avoid missing the opportunity

Why Apply for This Job?

Choosing the Associate Data Scientist Clario job can be a strong career move for several reasons:

  • Opportunity to work on real-world clinical research projects
  • Exposure to advanced analytics and machine learning in healthcare
  • Work with global teams and cutting-edge technologies
  • Strong career growth in clinical data science and pharma analytics
  • Competitive compensation and employee-friendly policies

This role is especially valuable for candidates aiming to enter the healthcare data science domain and contribute to meaningful innovations.

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FAQs

1. Who can apply for the Associate Data Scientist role at Clario?

Candidates with a bachelorโ€™s degree in computer science, statistics, mathematics, or related fields with 1โ€“3 years of experience can apply.

2. What is the salary for this role?

The salary is offered as per company standards and depends on experience and skills.

3. Is prior experience mandatory?

Yes, candidates should have at least 1โ€“3 years of relevant experience in data analytics or similar roles.

4. What skills are important for this job?

Key skills include Python, R, SQL, machine learning techniques, statistical analysis, and data visualization.

5. How can I apply for this job?

You can apply through the companyโ€™s official online career portal.


Conclusion

The Associate Data Scientist at Clario 2026 is an excellent opportunity for professionals looking to build a strong foundation in clinical data analytics and machine learning. With a supportive work environment, global exposure, and impactful projects, this role can significantly boost your career in the pharmaceutical and healthcare analytics sector. Apply soon and take the next step toward a data-driven future.


Disclaimer

PharmaJobHub.in is an independent job information platform. We do not provide jobs or recruitment and are not affiliated with any company.


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