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Associate Data Scientist

Clario

Job Overview

Location

Indiana, India

Job Type

Full-time

Full Job Description

📋 Description

• Own the end-to-end data pipeline for clinical-trial evidence. You will ingest, validate, and curate multi-modal datasets (imaging, ECG, eCOA, ePRO, wearables) that fuel the AI/ML algorithms used in FDA 510(k) and PMA submissions. Your clean, traceable datasets become the gold standard that regulators and investigators trust.
• Partner shoulder-to-shoulder with Clinical Data Scientists, Biostatisticians, and Regulatory Affairs to translate study protocols into data-collection blueprints. You will map CRF fields to SDTM domains, design edit-check rules, and build automated QC dashboards that flag anomalies before they ever reach a biostatistics review.
• Apply advanced statistical and machine-learning techniques to uncover patterns that accelerate therapy development. Expect to run multivariate regressions to adjust for covariates, deploy Bayesian hierarchical models to pool sparse data, and experiment with gradient-boosted trees to predict patient dropout—always documenting assumptions and model performance for regulatory scrutiny.
• Engineer reusable Python/R modules that cut study-build time by 30 %. You will refactor legacy SAS macros into tidy, unit-tested code, containerize workflows with Docker, and schedule nightly ETL jobs via Airflow so that every new trial starts with a proven, compliant foundation.
• Visualize insights that change clinical strategy. Using Power BI, D3.js, or GGplot, you will craft interactive dashboards that let medical directors explore subgroup efficacy in real time and allow operational teams to monitor site enrollment, query aging, and data-lock readiness at a glance.
• Champion data integrity and patient privacy. You will enforce ALCOA+ principles (Attributable, Legible, Contemporaneous, Original, Accurate, plus Complete, Consistent, Enduring, Available), implement role-based access controls, and conduct periodic audits that satisfy 21 CFR Part 11, GDPR, and HIPAA requirements.
• Drive continuous improvement through cross-functional collaboration. You will lead sprint retrospectives with software engineers to shorten data-lock timelines, present findings at internal science symposia, and mentor junior analysts in reproducible research practices and Git-based version control.
• Contribute to peer-reviewed publications and conference abstracts. By distilling complex analyses into clear narratives, you will help showcase Clario’s scientific leadership and provide sponsors with compelling evidence that supports regulatory submissions and health-economic arguments.

🎯 Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related quantitative discipline
• 1–3 years of hands-on experience in data analytics, market research, or data mining within a regulated environment
• Proficiency in Python, R, and SQL with demonstrable scripting and programming skills
• Applied knowledge of machine-learning techniques (k-NN, Naive Bayes, SVM, Decision Forests) and statistical methods (regression, cluster analysis, Bayesian inference)
• Experience with data-visualization tools such as Power BI, D3.js, or GGplot

🏖️ Benefits

• Competitive compensation package plus Provident Fund and comprehensive medical insurance
• Flexible work arrangements (hybrid model) and modern, ergonomic office facilities in Bangalore
• Employee wellness programs, engagement activities, and global learning stipends
• Opportunity to impact life-changing therapies and grow within a 50-year scientific leader with 19,000+ trials delivered

Skills & Technologies

Python

JavaScript

Data Science

Junior

Hybrid

Degree Required

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Clario

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About Clario

Clario is a global healthcare technology and services company that provides endpoint data solutions for clinical trials. It delivers imaging, cardiac safety, respiratory, eCOA, and precision motion technologies, supported by scientific and regulatory expertise, to help biopharmaceutical sponsors generate high-quality evidence and accelerate drug development.

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