Senior Data Analytics Engineer - Cell Culture Media
About The Position
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 Data Analytics Engineer - Cell Culture Media is responsible for enabling real-time data intelligence that improves scientific decision making, customer confidence, and compliance in a cGMP environment. This position reports to the Sr Manager, Data Governance and is part of the Cell Culture Media business unit located in Logan, Utah and will be an on-site role.
Requirements
- Bachelor’s degree (advanced degree preferred) in Data Engineering, Computer Science, Statistics, Bioinformatics, Chemical Engineering, or related technical field.
- 3+ years’ experience in data engineering/analytics for manufacturing, lab operations, and scientific data environments; proficient in Python, SQL, ETL/pipelines, and modern cloud/on-premises data tools.
- Experienced in statistical analysis, control charts, trending, and anomaly detection; turns complex data into clear, actionable insights for technical and nontechnical stakeholders.
Nice To Haves
- Experience with AI/ML tools, model development, or automated quality monitoring systems.
- Knowledge of chemical characterization, analytical chemistry, or formulation related data structures.
- Experience delivering enterprise analytics with Microsoft Power BI, Qlik Sense, and Tableau, complemented by Salesforce CRM Analytics and Snowflake‑backed dashboards (e.g., Cytiva’s Data bridge), to drive actionable insights and adoption.
Responsibilities
- Develop and maintain data sets to train an AI that ingests, processes, and analyzes incoming raw material quality testing results (chemical composition, impurities, COAs, and other analytical data).
- Design structured data models and visualization frameworks to trend material characteristics over time for scientists, quality teams, and manufacturing leadership.
- Collaborate with cross functional stakeholders (Quality, Manufacturing, R&D, Data Governance, Supply Chain) to define data requirements, interpret trends, and communicate insights effectively.
- Integrate system enhancements including machine learning models for predictive behavior, anomaly detection, and proactive quality insights with a DBS mindset focused on continuous improvement.
Benefits
- Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
- We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
