Senior Research Data Scientist at Danaher - Canada

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Hybrid Modelling, AI/ML Techniques, Mechanistic Modelling, Spectral Data Analysis, NIR, Raman, UV-Vis, Chemometric Models, Multivariate Analysis, Predictive Analytics, Anomaly Detection, Optimization, Python, R, Bioprocess Control, Digital Twins

Industry

Medical Equipment Manufacturing

Description

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. The Senior Research Data Scientist is responsible for leading the design and development of advanced analytical models that combine mechanistic modelling and AI/ML techniques. Your work will enable smarter bioprocess control, predictive insights, and optimization strategies, accelerating the development of life-saving therapeutics. This position reports to the Senior Manager - Research and is part of the Central Technology Organization (CTO) R&D department located in Bangalore and will be an on-site role. At Cytiva, our vision is, to advance future therapeutics from discovery to delivery. What You Will Do Build hybrid models combining mechanistic and AI/ML techniques to accurately simulate and predict process behaviour. Analyze complex spectral datasets (NIR, Raman, UV-Vis) for real-time monitoring and PAT applications. Develop chemometric models and multivariate analysis techniques for process insights. Apply advanced machine learning techniques for predictive analytics, anomaly detection, and optimization. Work closely with scientists, engineers, and product teams to translate ideas into impactful solutions. Explore emerging technologies in AI, digital twins, and hybrid modelling for bioprocessing. Ensure adherence to regulatory guidelines and maintain robust documentation for models and algorithms. Who You Are Master’s or Ph.D. in Data Science, Chemical Engineering, Bioprocess Engineering, Applied Mathematics, or related field. 8+ years in data science with a focus on bioprocess modelling and analytics with proven experience in hybrid modelling and spectral data analysis. Strong proficiency in Python, R, or similar tools for modelling and data analysis. Experience with spectral data analysis and chemometrics (PCA, PLS, multivariate regression). Preferred: Experience in bioprocessing or life sciences instrumentation. Active contributor to the field through scientific publications. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com.

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Responsibilities

The Senior Research Data Scientist will lead the design and development of advanced analytical models integrating mechanistic modelling and AI/ML techniques to enable smarter bioprocess control and predictive insights. Key tasks include building hybrid models, analyzing complex spectral datasets, developing chemometric models, and applying advanced machine learning for optimization.