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ZEISS is shaping technological progress and through its solutions is extending the horizon of the world of optics and associated areas. What you'll be doing:Working within the Research Microscopy Solutions (RMS) department, at ZEISS, we are looking for a Data Analyst to drive operational excellence using data insights and reporting expertise. We're looking for people who are empathetic and passionate, who are committed to achieving their goals, and who get excited about challenging topics.

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The Data Engineer would be responsible for managing the cloud infrastructure to support our sequencing projects for both clinical analytics and BI reporting. Use ETL to help with centralisation of organisational data Ad hoc requests for engineering support from the laboratory and clinical teams. Experience configuring and managing cloud infrastructure.

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They will also utilize their skills in data engineering to support and assist with building data pipelines, integrations, and ETL (extract, transform and load) process's that will support the strategic vision and growth of the analytics function at ATS. ) • Support the team with the design and optimization of systems focused on performance and reliability • Support the team with the development and maintenance of Extract, Transform, and Load Processes (ETL's) throughout integrated systems • Assist with evaluating and implementing new data engineering tools and Technologies. , TensorFlow, PyTorch, Scikit-learn) • Experience with databases (SQL, Influx) • Knowledge of data warehousing and ETL processes • Familiarity with tools like Hadoop, Spark, or Kafka • Experience with cloud services such as AWS, Google Cloud, or Azure • Understanding of software engineering principles and best practices • Experience with version control systems (e. The best people want to work with the best team - the best teams are diverse and inclusive teams. We offer COMPETITIVE Total Rewards - Competitive starting salaries, overtime pay eligibility, paid vacation, Employee Incentive Bonus program, comprehensive health and dental benefits including Lifestyle Spending Account, 4% RRSP matching program and optional Employee Share Purchase Program A place to BELONG: We celebrate our differences and ensure that all employees have equal opportunities for growth and development.

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You will have the freedom to experiment with new approaches, optimizing data pipelines, and enhancing overall data quality and efficiency and play an essential role in designing, sustaining and evolving data systems that meet the changing needs of the business. Ensure the security and privacy of our data by implementing robust data governance and access control policies compliance with relevant software development standards and practices (e. This will include on-the-job guidance, training, technical review, and resolution of issues for junior team members, undertaking code review for others, running or contributing to development seminars and deputising for more senior staff as required. Our work includes partnerships with major organizations including AstraZeneca, GlaxoSmithKline, the Cleveland Clinic, and the NHS and our platform is in use at well over 100 clinical and academic sites worldwide.

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Essential Skills/Experience: - Bachelors Degree level in a relevant subject area or equivalent years of experience - Extensive in-depth knowledge and experience across multiple data and AI governance and policy specialist areas - Proven experience of developing and driving strategy for data and AI governance and policy in a complex regulated multi-national environment - Leadership experience of multi-layered teams in a global environment - Influencing skills of the highest order - Capability in values-based leadership - Significant budget and project management experience - Awareness of Data & AI regulatory and technology trends Desirable Skills/Experience: - Masters Degree in relevant quantitative subject area - Specific pharmaceutical industry experience - Experience of pharma and the life sciences - Experience in sophisticated global organizations - Experience of achieving tangible and acknowledged value in a similar position and scale of challenge and opportunity.

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Job Description - Research Scientist in Data Mining Job Type: Full-time Location: Cambridge, UK We are looking for research scientists working on data mining and related areas, including natural language processing, information retrieval and recommender systems, to join JD AI. change the optimization objective, work out an alternative mathematical model and implement it); Ability to develop prototypes by manipulating and analysing complex, high-volume, high-dimensionality data from varying sources; Eager to learn new algorithms, new application areas and new tools; Excellent written and oral communication skills.

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