Senior Data Engineer - AI

At first glance, you'll see Danaher's scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms-life sciences, diagnostics, and biotechnology.

Look again and you'll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You'll find associates who are as certain about their impact as they are about where they're headed next.

You'll find the Danaher Business System, which makes everything possible. You'll also see a company that investors trust-our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25 years.

Danaher's India Development Center - IDC is a research and development center with the vision of accelerating product roadmaps across various Danaher business segments. Started in 2014, the center now hosts 700+ associates, for multiple Danaher operating companies focusing on Diagnostics, Life Science, and Environmental and Applied Science segments. The operating companies include Beckman Coulter, Radiometer, Leica Biosystems, Digital Teams, Leica Microsystems, HemoCue, Phenomenex SCIEX and Cepheid.

The IDC workforce comprises of various product engineering teams, working on development of software and hardware components of cutting-edge products for, Immunoassay, Chemistry, Hematology, Molecular diagnostics, Oncology, Neurosurgery etc,. IDC has evolved as center of excellence for Cloud and data analytics, with significant contributions to the key informatics solutions. The teams consist of highly hardworking software & hardware engineers and development managers. The teams are supported by local Product managers, Quality & Regulatory and Intellectual property specialists.

The inhouse teams works in close coordination with other global R&D centers at US, France, Germany, Japan, Australia, Denmark and Sweden. Located at the center of Bangalore IT HUB, IDC is housed at state of art facility.

The Senior Data Engineer- AI at Danaher Enterprise AI team, Molecular Design supporting the development of scalable data pipelines and infrastructure to enable AI driven molecular design across the organization. This role is based in India, Bangalore working onsite and will report through the aligned business and organizational structure.

In this role, you will have the opportunity to:

• Support data integration efforts by collaborating with scientists, bioinformaticians, and AI engineers to ensure data is accessible, well-structured, and ready for downstream modeling and analysis.
• Build and maintain data pipelines to ingest, transform, and store structured and unstructured biological data from various sources including wet lab experiments, public databases, and internal platforms.
• Implement data quality checks and validation routines to ensure reliability and reproducibility of datasets used in molecular design workflows.
• Contribute to infrastructure development by assisting in the setup and optimization of cloud-based data platforms and tools for scalable storage and compute.
• Document workflows and processes to support reproducibility, collaboration, and knowledge sharing across teams.

The essential requirements of the job include:

• Bachelor's or Master with 8+ years of experience in Computer Science, Data Science, Bioinformatic, Information Technology, Engineering or related field
• 5+ years of experience in data engineering or data platform development or bioinformatics, preferably supporting AI/ML workloads
• Proficiency in Python and SQL, with experience in data pipeline frameworks (e.g., Argo, NextFlow, Valohai, Airflow, Luigi), parallelization in Python (Joblib, Dask, Ray, etc.)
• Experience with cloud data platforms (AWS, Azure, or GCP, Snowflake) and related services (e.g., S3, Redshift, BigQuery, Synapse)
• Hands-on experience with data pipeline orchestration tools (e.g., Airflow, Prefect, Azure Data Factory).
• Familiarity with data Lakehouse architectures and distributed systems
• Working knowledge of containerization and CI/CD (Docker, Kubernetes, GitHub Actions, etc.).
• Experience with APIs, data integration, and real-time streaming pipelines (Kafka, Kinesis, Pub/Sub)

It would be a plus if you also possess previous experience in:

• Experience working with biological or molecular data (e.g., genomic sequences, protein structures, assay results).
• Familiarity with data formats and standards used in life sciences (e.g., FASTA, VCF, PDB).
• Exposure to AI/ML workflows and collaboration with data science teams.
• Strong understanding of data security, compliance, and governance frameworks
• Excellent collaboration and communication skills with the ability to work across technical and business teams

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.

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