
10,000+ employees
🧬 Biotechnology
🔬 Science
🤝 B2B
Biotechnology • Science • B2B
Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.
🕒 3 days ago
🇺🇸 United States – Remote
💵 $74k - $111k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🦅 H1B Visa Sponsor
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10,000+ employees
🧬 Biotechnology
🔬 Science
🤝 B2B
Biotechnology • Science • B2B
Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.
• Develop and maintain analytical models • Apply statistical and machine learning techniques (e.g., regression, classification, time series) • Execute the end‑to‑end analytics lifecycle • Perform data preparation, exploratory and statistical analysis • Leverage core technical tools and data platforms • Use Python (pandas, NumPy, scikit‑learn) and SQL • Translate analytics into business insight • Collaborate, document, and continuously improve
• Bachelor’s or master’s degree in a quantitative field • 2+ years of hands-on experience in data analysis, data science, or applied analytics • Proficiency in Python and SQL • Working knowledge of statistical methods and machine learning techniques • Familiarity with the end-to-end analytics lifecycle from data preparation through validation and interpretation • Strong problem-solving skills • Ability to clearly explain analytical results and translate insights into business value
• Comprehensive, competitive benefit programs • Health care program • Paid time off • Medical/dental/vision insurance • 401(k)
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