Danaher Life Sciences is hiring for a fresher entry level AI Data Analyst role in India

Position:

• AI Data Analyst

Company:

• Danaher Life Sciences

Location:

• Bengaluru, Karnataka, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• R1294516

Years of experience:

• 0 to 3 years

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Company description

• Danaher Life Sciences is a global leader in biotechnology research and innovation, operating as a part of the larger Danaher Corporation, which is recognized as one of the world’s foremost science and technology conglomerates.

• The company focuses on creating advanced solutions that significantly reduce drug development timelines, enabling life-saving therapies to reach patients faster.

• Its expertise spans across scientific research, diagnostics, biotechnology, and engineering, which together form the foundation of the Danaher Business System, a structured framework for innovation and efficiency.

• Danaher Life Sciences brings together multiple operating companies under one umbrella, each contributing specialized knowledge in areas such as genomics, molecular biology, cell and gene therapy, and advanced drug testing. This integration ensures that the company can serve clients ranging from academic researchers to global pharmaceutical leaders.

• Scientists around the world rely on the technologies and systems provided by Danaher Life Sciences to uncover the underlying mechanisms of diseases, develop innovative treatments, and advance vaccines. Their work directly powers the creation of next-generation biopharmaceuticals that have the potential to change how the world approaches healthcare.

• Beyond research, the company plays a key role in the production and scaling of breakthrough therapies that improve patient outcomes and set new standards in medicine. This dual focus on both scientific discovery and large-scale application gives Danaher Life Sciences a unique position in the global healthcare ecosystem.

• With more than 10,000 employees worldwide, the organization thrives on collaboration, diversity of thought, and a shared mission to accelerate progress in science and technology.

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Profile overview

• The AI Data Analyst role at Danaher Life Sciences is designed for candidates who aspire to bridge the gap between technical expertise and business needs, especially in the areas of data governance, quality management, and artificial intelligence applications.

• In this position, you will work closely with stakeholders from multiple domains, including IT teams, operating company representatives, data scientists, and business leaders, to ensure that data used in AI projects is accurate, reliable, and meaningful.

• The role requires an individual who is detail-oriented, analytical, and comfortable navigating both technical and business conversations. You will be expected to validate datasets, ensure compliance with established data standards, and contribute to the successful deployment of AI-driven solutions.

• A major part of the responsibility includes supporting pipeline development and model training processes, ensuring that data is properly prepared and meets the necessary standards before being used for advanced analytics or machine learning tasks.

• The position also demands strong communication skills, as you will frequently translate technical issues such as data anomalies or quality challenges into business terms that stakeholders can easily understand. Providing clear remediation strategies is a critical part of this role.

• This is an excellent opportunity for someone looking to gain exposure to real-world AI applications within the biotechnology and life sciences sector. You will not only build technical expertise in data analysis and AI pipelines but also gain valuable insights into how data science is shaping supply chain operations, manufacturing efficiency, and global healthcare outcomes.

• The role aligns with Danaher’s mission of advancing science and technology, making it a meaningful career step for candidates who are passionate about contributing to solutions that improve human health and patient care.

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Qualifications

• A bachelor’s degree in computer science, data analytics, engineering, life sciences, or a related discipline is strongly preferred, although equivalent practical experience may also be considered.

• Candidates should demonstrate a foundational understanding of data management concepts, including data quality, profiling, cleansing, and governance.

• Prior exposure to analytics roles within supply chain, manufacturing, or life sciences would be highly beneficial, though not mandatory for entry-level applicants.

• Strong skills in SQL, Python, or other analytical tools are valued, as they support tasks like data profiling, pipeline validation, and statistical analysis.

• The ability to interpret business requirements and translate them into actionable data quality standards is crucial. Candidates must be able to design validation criteria and ensure that datasets align with both technical and business objectives.

• Knowledge of master data domains such as Material Master, Vendor Master, and Customer Master is preferred, as these are central to supply chain analytics.

• Understanding of AI and machine learning fundamentals is a plus. This includes familiarity with data preparation for training models, handling large datasets, and awareness of how data quality impacts predictive performance.

• Strong communication skills are essential. The role requires presenting findings to both technical and non-technical stakeholders, often in situations where remediation strategies or process improvements need to be adopted.

• A collaborative mindset and the ability to work across decentralized or federated structures with multiple operating companies are important. This ensures smooth coordination between diverse teams and functions.

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Additional info

• The role involves close engagement with a wide range of stakeholders, providing a platform to develop strong cross-functional collaboration skills. This exposure will be valuable for long-term career growth in analytics, data science, or operations leadership.

• You will be expected to contribute to the documentation of data standards, best practices, and analytics requirements. This ensures that AI projects are scalable and can be replicated across multiple teams and regions.

• Candidates entering this role should be prepared for hands-on work with data pipelines, validation processes, and root cause analysis tasks. It is a practical role that blends analysis with problem-solving.

• The AI Data Analyst position is also an opportunity to gain experience in the rapidly growing intersection of supply chain management and artificial intelligence. This is a niche area with increasing importance in global industries, offering strong career prospects.

• The company provides an inclusive and dynamic work culture, emphasizing professional growth, mentorship, and collaboration. You will be part of an environment where learning and innovation are encouraged at every level.

• Working at Danaher Life Sciences also means contributing to projects that have a real-world impact, from accelerating drug development timelines to improving patient outcomes. This makes the role both professionally rewarding and personally meaningful.

• Flexibility, adaptability, and curiosity are key traits that will help you succeed, as the projects you support may evolve with emerging technologies and business needs.

• By joining Danaher, you become part of a global team committed to pushing the boundaries of science and technology to solve humanity’s most pressing healthcare challenges.

Please click here to apply.