Verily
Verily
Verily एक AI-आधारित प्रिसिजन हेल्थ कंपनी है, जो स्वास्थ्य सेवा, क्लिनिकल रिसर्च और कृत्रिम बुद्धिमत्ता के क्षेत्रों में काम करती है। इसके सॉफ़्टवेयर और मॉडल Verily Me, चिकित्सकीय कार्यप्रवाहों और देखभाल समाधानों जैसे उपकरणों के माध्यम से अधिक पूर्वानुमानित और व्यक्तिगत देखभाल में सहायता करते हैं। ये समाधान सदस्यों की भागीदारी बढ़ाने और स्वास्थ्य लक्ष्यों का मार्गदर्शन करने में मदद करते हैं। Verily ऐसे शोध उत्पाद भी विकसित करती है जो बहुआयामी क्लिनिकल और वास्तविक दुनिया के डेटा को FHIR-नेटिव प्रारूपों में व्यवस्थित और मानकीकृत करते हैं, जिससे टीमें क्लिनिकल ट्रायल को आगे बढ़ा सकें और नई अंतर्दृष्टियाँ प्राप्त कर सकें। कंपनी AI-सक्षम देखभाल और शोध कार्यप्रवाहों सहित क्लिनिकल और नियामक सुरक्षा पर ध्यान केंद्रित करते हुए निर्माण करती है।

Senior Biostatistician – Clinical Research

Lead statistical study design and analysis for Verily’s AI-enabled precision health products. Generate clinical and real-world evidence throughout the product lifecycle.

विवरण

  • Provide statistical and study-design leadership from feasibility and preclinical assessment through clinical validation and post-market monitoring
  • Direct statistical planning and analysis across each stage of the product lifecycle
  • Collaborate with medical, product, engineering, data science, regulatory, and operations teams to establish study objectives, estimands, analytical strategies, and decision criteria
  • Analyze clinical, experimental, observational, real-world, and operational data to produce clear, interpretable evidence
  • Assess data quality, bias, missingness, generalizability, model performance, and other factors that influence study conclusions
  • Present study designs, assumptions, findings, limitations, and recommendations in protocols, reports, presentations, dashboards, and cross-functional forums
  • Flag threats to scientific integrity, generalizability, regulatory interpretation, and product decisions while recommending practical approaches that balance rigor, feasibility, and timelines

आवश्यकताएँ

  • Master’s degree or higher in biostatistics, statistics, epidemiology, data science, bioinformatics, biomedical informatics, or a related quantitative discipline
  • At least five years applying statistical methods to clinical, biomedical, health technology, medical device, pharmaceutical, diagnostics, or life sciences research
  • Proven ability to design and analyze observational studies, interventional clinical studies, and real-world data studies for evidence generation or product decisions
  • Proficiency in R and/or Python for analyzing complex life sciences, biomedical, or healthcare datasets
  • Experience generating evidence for diagnostics, medical devices, digital health, or AI/ML-enabled clinical products
  • Background working with products in regulated healthcare settings, including submissions to the FDA or other health authorities
  • Experience using varied healthcare data sources such as EHRs, claims, registries, device-generated data, sensors, imaging, laboratory results, or patient-reported outcomes
  • Practical experience using digital product data as a primary evidence source, including addressing missingness, measurement error, and methods suited to continuous digital measures
  • Experience writing study protocols, statistical analysis plans, technical reports, and publication-ready analyses
  • Knowledge of Bayesian methods, adaptive trial designs, or causal inference for observational and real-world data studies
  • Experience with reproducible research practices, Git or comparable version control, and modern coding tools, including AI-assisted development tools when appropriate
  • Must be authorized to work in the United States without requiring employer-sponsored work authorization now or in the future

लाभ

  • Bonus opportunity
  • Equity compensation
  • Employee benefits

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