About the Company
Clario, a part of Thermo Fisher Scientific, is a global leader in clinical trial endpoint solutions. The organization focuses on transforming clinical research by generating high-quality evidence that accelerates drug development and regulatory approvals worldwide.
Job Overview
The Associate Data Scientist will work alongside Clinical Data Scientists to support clinical data collection, analysis, and reporting for algorithm development, regulatory submissions (including FDA), and research initiatives. This role is ideal for professionals looking to build expertise in clinical data science, machine learning, and evidence-based healthcare analytics.
Key Responsibilities
Collect, clean, and manage clinical datasets for research and algorithm development
Perform data manipulation, validation, and statistical analysis on large-scale datasets
Apply advanced statistical methods including regression analysis, clustering, and Bayesian techniques
Develop and optimize machine learning models such as k-NN, Naive Bayes, SVM, and Decision Forests
Improve data collection frameworks to enhance analytical efficiency and system performance
Conduct ad-hoc analyses and present actionable insights to stakeholders
Support data-driven decision-making for clinical and operational strategies
Collaborate with cross-functional teams including clinical research, biostatistics, and technology teams
Ensure data integrity, compliance, and adherence to regulatory standards
Required Qualifications
Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field
1–3 years of experience in data analytics, data science, or related domains (Freshers with strong project experience in Python/R/ML can apply)
Proficiency in Python, R, and SQL with strong programming capabilities
Experience with data visualization tools such as Power BI, D3.js, or GGplot
Knowledge of machine learning algorithms and statistical modeling techniques
Strong understanding of data structures, statistical distributions, hypothesis testing, and regression analysis
Ability to solve complex analytical problems and translate data into business insights
Excellent communication skills for presenting scientific and analytical findings
What We Offer
Competitive salary and performance-driven compensation structure
Provident Fund and comprehensive medical insurance coverage
Employee wellness initiatives and engagement programs
Flexible work environment with hybrid and remote options
Exposure to global clinical research and advanced data science applications
Why Join This Role
This opportunity bridges clinical research and data science, offering hands-on experience in real-world healthcare data, regulatory submissions, and AI-driven analytics. You will contribute to accelerating life-saving therapies while building a future-proof career in clinical data science and machine learning.
Work Location Requirement
Candidates should be based in Bangalore or open to working in a hybrid/remote setup within India.
How to Apply
Apply through the official careers page of Clario or explore verified global opportunities on ThePharmaDaily.com, your trusted platform for careers in Pharmacovigilance, Clinical Research, and Data Science.
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Remote, India | Siliguri |Illinois :
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Appleton | Kenosha | Pleasant Prairie | Portage | Waukesha |United states :
Arizona | Buffalo Grove | Clayton | Downers Grove | fairmont | Georgia | Keene | Michigan | Mt. Pleasant | New Jersy | OH | Piedmont | Salisbury | United States | Whitesboro | Winston-Salem |Georgia :
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Duluth | Eden Prairie | Fridley | Hibbing | Maple Grove | Minneapolis and St. Paul, Minnesota. | Minnetonka | St.Paul |Kentucky :
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Budapest |BULGARIA :
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Copenhagen | Denmark |Europe :
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Galway |County Dublin :
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Arkansas | Remote Australia |New South Wales :
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Nedlands |Queensland :
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South Yarra |United Kingdom :
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Harrogate |South Yorkshire :
Sheffield |Oxfordshire :
Witney |Ontario :
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Tallinn |Hà Nội :
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Japan | Saitama |Tokyo :
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Oulu |Southwest Finland (Varsinais-Suomi) :
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Bangkok |Israel :
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Brentwood |Bucharest :
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Riyadh | King Abdullah Economic City | Jeddah | Rabigh | Khulais | Najran |Kuala Lumpur :
Kuala Lumpur |Kyiv Oblast :
Kyiv |Lima Region :
Lima |France :
Paris | Lyon |South Africa :
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Niš |Bohemia :
Prague |Chile :
Santiago |Bosnia and Herzegovina :
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