Clario, part of Thermo Fisher Scientific, is hiring for the position of Associate Data Scientist in Bangalore, India. The company is also listing India Remote as a location option for the full-time role.
The position focuses on clinical data management, analytics, statistical analysis and machine learning to support algorithm development, clinical studies, FDA submissions and research activities. The selected candidate will work closely with Clinical Data Scientists and cross-functional teams to generate reliable, evidence-based insights.
Clario Associate Data Scientist Recruitment 2026 – Job Highlights
| Particulars | Details |
|---|---|
| Company | Clario |
| Parent Organization | Thermo Fisher Scientific |
| Job Title | Associate Data Scientist |
| Job Requisition ID | R17201 |
| Job Type | Full Time |
| Primary Location | Bangalore, India |
| Additional Location | India Remote |
| Experience | 1–3 years |
| Qualification | Bachelor’s degree in Computer Science, Statistics, Mathematics or related quantitative field |
| Core Skills | Python, R, SQL, Statistics, Machine Learning |
| Domain | Clinical Data / Data Science |
| Salary | Not specified |
About Clario
Clario is a clinical technology and data-focused organization that supports the development of better evidence for clinical research. As part of Thermo Fisher Scientific, Clario works across clinical science and technology to help support the development of life-changing therapies.
The Associate Data Scientist position contributes to this work by managing and analyzing clinical data used for algorithm development, research and regulatory activities.
Clario Associate Data Scientist – Job Description
The Associate Data Scientist will work alongside Clinical Data Scientists to support the collection, management and analysis of clinical data.
The role combines data analytics, statistical methods and machine learning. The professional will also contribute to data reporting, algorithm development, research activities and scientific communication.
Key Responsibilities
Clinical Data Collection and Management
The selected candidate will:
- Collect and organize clinical data for research and algorithm-development activities.
- Clean and maintain datasets to improve data quality.
- Perform data manipulation and transformation on large datasets.
- Support clinical data management activities associated with research and clinical studies.
- Help maintain data integrity and compliance with applicable regulatory requirements.
Data Analysis and Statistical Modeling
Responsibilities include:
- Conducting analytical activities on clinical and operational datasets.
- Applying statistical methods to identify meaningful patterns and relationships.
- Working with techniques such as regression analysis, cluster analysis and Bayesian methods.
- Performing ad-hoc analyses based on project or business requirements.
- Interpreting analytical results and converting them into useful insights.
- Supporting operational data interpretation for strategic planning and decision-making.
Machine Learning and Predictive Modeling
The role also involves applying machine learning techniques to clinical and research data.
The Associate Data Scientist may:
- Develop predictive models.
- Optimize classification algorithms.
- Apply machine learning approaches to relevant datasets.
- Work with methods such as k-nearest neighbors (k-NN), Naive Bayes, Support Vector Machines (SVM) and Decision Forests.
- Contribute to improvements in analytical systems and data collection processes.
Data Visualization and Reporting
The selected professional will present complex scientific and analytical information in a clear and understandable format.
Responsibilities may include:
- Creating meaningful data visualizations.
- Presenting analytical findings to relevant stakeholders.
- Preparing reports based on ad-hoc and planned analyses.
- Communicating scientific data in an actionable manner.
- Supporting scientific communications with accurate data interpretation.
The role mentions experience with visualization tools such as Power BI, D3.js and GGplot.
Process and Analytics Improvement
The Associate Data Scientist will also help improve how data is collected and used for analytical systems.
This may involve:
- Identifying opportunities to improve data collection procedures.
- Troubleshooting data and analytical challenges.
- Designing and implementing practical solutions.
- Supporting improvements to analytic systems.
- Contributing to evidence-based business and clinical decisions.
Cross-Functional Collaboration
The position requires regular collaboration with Clinical Data Scientists and other teams.
The selected candidate will work with cross-functional stakeholders to:
- Understand analytical requirements.
- Deliver evidence-based insights.
- Support clinical research objectives.
- Communicate findings and recommendations.
- Resolve data-related challenges.
- Contribute to project goals within a collaborative environment.
Educational Qualification
Candidates should have a Bachelor’s degree in a quantitative or technical discipline such as:
- Computer Science
- Statistics
- Mathematics
- A related quantitative field
The qualification should provide a strong foundation in data analysis, programming and statistical concepts.
Experience Requirements
The position requires 1–3 years of experience in areas such as:
- Data Analytics
- Market Research
- Data Mining
- Related analytical roles
Candidates should be comfortable working with large datasets and applying statistical and computational techniques to real-world problems.
Required Technical Skills
Candidates should have proficiency in:
- Python
- R
- SQL
- Data manipulation
- Data cleansing
- Statistical analysis
- Data mining
- Machine learning
Strong scripting and programming capabilities are expected for the position.
Statistical Knowledge
The role requires applied knowledge of statistical concepts, including:
- Probability distributions
- Statistical testing
- Regression
- Cluster analysis
- Bayesian methods
Machine Learning Knowledge
Familiarity with machine learning techniques such as the following is desirable:
- k-Nearest Neighbors (k-NN)
- Naive Bayes
- Support Vector Machines (SVM)
- Decision Forests
Data Visualization
Experience with visualization tools including:
- Power BI
- D3.js
- GGplot
is relevant to the position.
Soft Skills
Along with technical knowledge, candidates should demonstrate:
- Strong analytical thinking
- Problem-solving ability
- Attention to data quality
- Effective communication
- Ability to explain complex scientific information clearly
- Troubleshooting skills
- Ability to work collaboratively
- Ability to develop practical solutions for business and analytical challenges
Work Location and Work Arrangement
The vacancy lists Bangalore, India as a location, along with India Remote.
The position is full time. The job description specifically notes the ability to work from Bangalore in a hybrid arrangement.
Candidates should confirm the applicable work arrangement and location expectations during the recruitment process.
Employee Benefits
Clario lists several benefits and workplace offerings for employees, including:
- Competitive compensation
- Provident fund
- Comprehensive medical insurance
- Employee wellness programs
- Employee engagement activities
- Flexible work arrangements
- Modern office facilities
Specific benefit eligibility and terms may vary according to applicable company policies.
Salary and CTC
The provided vacancy does not specify a fixed salary or CTC for the Associate Data Scientist position.
Candidates should refer to the official recruitment communication for compensation details.
Selection Process
The detailed selection process has not been provided in the vacancy information. Candidates should follow the instructions communicated by Clario during the recruitment process.
How to Apply for Clario Associate Data Scientist Recruitment 2026
Eligible candidates interested in the Associate Data Scientist position can apply online through the official Clario careers portal.
Candidates should review the eligibility criteria and provide accurate information when submitting their application.
Important Details Before Applying
- Company: Clario
- Parent Company: Thermo Fisher Scientific
- Position: Associate Data Scientist
- Requisition ID: R17201
- Job Type: Full Time
- Location: Bangalore, India / India Remote
- Experience: 1–3 years
- Qualification: Bachelor’s degree in Computer Science, Statistics, Mathematics or related quantitative discipline
- Programming: Python, R and SQL
- Statistics: Regression, testing, distributions, cluster analysis and Bayesian methods
- Machine Learning: k-NN, Naive Bayes, SVM and Decision Forests
- Visualization: Power BI, D3.js and GGplot
- Salary: Not specified
Frequently Asked Questions
1. What position is Clario hiring for?
Clario is hiring for the position of Associate Data Scientist.
2. What is the job requisition ID?
The requisition ID is R17201.
3. Where is the Associate Data Scientist job located?
The position is listed in Bangalore, India, with India Remote also listed as a location.
4. Is this a full-time job?
Yes. The position is listed as Full Time.
5. How much experience is required?
Candidates should have 1–3 years of experience in data analytics, market research, data mining or a related field.
6. What qualification is required?
A Bachelor’s degree in Computer Science, Statistics, Mathematics or a related quantitative discipline is required.
7. Which programming languages are required?
The position requires proficiency in Python, R and SQL.
8. Does the role require machine learning knowledge?
Yes. Familiarity with machine learning techniques including k-NN, Naive Bayes, SVM and Decision Forests is listed.
9. Which data visualization tools are mentioned?
The job description mentions Power BI, D3.js and GGplot.
10. What statistical skills are relevant?
The role requires applied statistical knowledge including distributions, statistical testing and regression, along with techniques such as cluster analysis and Bayesian methods.
11. What are the major responsibilities?
The role includes clinical data collection and cleaning, large-scale data analysis, statistical modeling, predictive modeling, machine learning, data visualization, reporting and cross-functional collaboration.
12. Is the salary mentioned?
No. The provided job posting does not specify the salary or CTC.
13. Does Clario offer employee benefits?
The vacancy lists provident fund, medical insurance, wellness programs, engagement activities, flexible work arrangements and modern office facilities.
14. Where can candidates apply?
Candidates can apply through the official Clario careers link provided in the How to Apply section.
Important Note
Job availability, eligibility requirements, work arrangements, responsibilities and other recruitment conditions may change. Candidates should verify the latest information on the official Clario careers portal before submitting their application.