Associate Data Scientist
Company: Clario (Part of Thermo Fisher Scientific)
Job Requisition ID: R17201
Location: Bangalore, India / India Remote
Work Mode: Hybrid
Employment Type: Full-time
Function: Data Science / Clinical Data Analytics
Job Summary
The Associate Data Scientist will work closely with Clinical Data Scientists to support clinical data collection, management, analysis, and reporting for algorithm development, regulatory submissions, and research initiatives.
The role focuses on transforming clinical data into meaningful insights through statistical analysis, machine learning, and data visualization while ensuring data integrity and compliance with regulatory standards.
Key Responsibilities
Clinical Data Management & Analytics
Collect, clean, organize, and manage clinical datasets for:
Algorithm development
Clinical research
Regulatory submission activities
Perform data manipulation, cleansing, validation, and analysis on large datasets.
Ensure accuracy, completeness, and integrity of clinical data.
Statistical Analysis & Data Modeling
Apply statistical techniques including:
Regression analysis
Cluster analysis
Bayesian methods
Statistical testing
Probability distributions
Develop predictive models and optimize classification algorithms.
Apply machine learning approaches such as:
k-Nearest Neighbors (k-NN)
Naive Bayes
Support Vector Machines (SVM)
Decision Forests
Machine Learning & Algorithm Development
Support development and improvement of analytical systems.
Enhance data collection methodologies to improve model performance.
Assist in building predictive solutions for clinical and research applications.
Evaluate model outputs and provide data-driven recommendations.
Reporting & Scientific Communication
Conduct ad-hoc data analyses based on business and scientific requirements.
Prepare clear reports and presentations highlighting actionable insights.
Support operational decision-making through data interpretation.
Communicate complex scientific and analytical findings effectively to stakeholders.
Cross-functional Collaboration & Compliance
Collaborate with:
Clinical Data Scientists
Research teams
Data engineering teams
Cross-functional stakeholders
Support evidence-based strategies and clinical data initiatives.
Ensure compliance with:
Regulatory requirements
Data quality standards
Data integrity principles
Required Experience
1–3 years of experience preferred in Data Analytics, Data Science, Data Mining, Clinical Data Analysis, or related fields.
Experience working with large datasets and analytical workflows.
Exposure to healthcare, clinical research, pharmaceutical, or life sciences data is preferred.
Required Technical Skills
Strong programming and scripting skills in:
Python
R
SQL
Experience with data visualization tools:
Power BI
D3.js
GGplot
Knowledge of machine learning algorithms and statistical modeling.
Understanding of:
Data preprocessing
Predictive modeling
Statistical testing
Data interpretation
Required Skills & Competencies
Strong analytical and problem-solving abilities.
Ability to design and implement data-driven solutions.
Good understanding of statistical concepts and machine learning techniques.
Ability to interpret complex scientific datasets.
Strong communication skills with ability to present technical findings.
Attention to detail and commitment to data quality.
Ability to work collaboratively in a hybrid environment.
Educational Qualification
Preferred Qualifications:
Bachelor’s degree in:
Computer Science
Statistics
Mathematics
Data Science
Engineering
Other quantitative disciplines
Advanced degree in analytics, data science, or related field is an advantage.
Experience Level
Preferred Experience: 1–3 years in:
Data Science
Data Analytics
Clinical Data Analytics
Machine Learning
Statistical Modeling
Healthcare Data Analysis
Suitable Profiles:
Associate Data Scientist
Data Analyst
Clinical Data Analyst
Junior Machine Learning Engineer
Healthcare Data Scientist
Statistical Programmer
Salary Package (Market Estimate)
Estimated CTC: ₹8–15 LPA (based on Indian Data Science and Clinical Analytics market standards, technical skills, experience level, and company benchmarks. Official JD does not specify salary.)
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