Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Your responsibilities: In this role your main tasks will include: Creation and maintenance of:ETL processes including all necessary BI-artefacts in SAP BW4/HANA and SAP-Datasphere or Google Cloud BigQuery corresponding front-end applications in SAP Analytics Cloud and Analysis for Office as well as Google Looker Studio Fine-tuning of the requirements with the user and defining the best solution procedure in accordance with reporting and analytics platform concept.Training employees in the use of the reporting tools SAP Analytics Cloud and Analysis for Office.Application monitoring and administration in BW4/HANA and SAP Datasphere.User maintenance of BW4/HANA and SAP Datasphere. Your profile Education: Bachelor/Master Degree in Computer Science, Statistics, or Business Informatics / Administration / Economics with a quantitative background or comparable.Experience: At least 3 years of BI experience and process managementLanguage skills: Excellent written and spoken English skills;Technical Skills:At least 1 year of experience with S/4, BW/4, and DatasphereAt least basic knowledge of SQLExperience in using statistical methods and its application to business process Experience in the Google Cloud, especially BigQuery and Data Studio, is appreciated Project management experience and working with scrum is a plus.Soft Skills:Business acumen: Quick understanding of business processes is a must.Problem-solving: Strong abilities to figure out solutions and a keen eye for details.Communication: Excellent skills in both writing and speaking to explain technical things clearly.Attitude: A proactive attitude, meaning you like to take initiative, and a strong desire to learn and grow your career in database administration.Teamwork: Ability to work effectively both on your own and as part of a larger team.
Then, please send us your application: SCHOTT ASIA IT SERVICES, Human Resources, Wei Ni Tang, *At SCHOTT, it’s your personality that counts – not your gender, your identity, or origin.Your Profile Bachelor’s degree in Computer Science, Information Technology, or a related discipline.At least 4 years of experience in CMDB administration and ITSM process management.Strong understanding of IT service management frameworks, particularly ITIL.Hands-on experience with Configuration Management in ServiceNow.Solid knowledge of IT infrastructure, network architecture, and databases such as Microsoft SQL.Proficiency in data analysis and the creation of reports and dashboards.Excellent problem-solving skills and the ability to work independently with a focus on priorities.Strong communication and interpersonal skills.Ability to effectively train and educate others.Enthusiasm for learning and exploring new topics.Proficiency in English.
#shapeandcreate Your responsibilities: Conception, design, and implementation of technical solutions in the SAP S/4HANA Finance environment.Customization and further development of the SAP S/4HANA Finance system.Development of ABAP/ABAP OO programs for the automation and optimization of business processes.Analysis of business requirements and creation of technical specifications.Close cooperation with specialist departments and other IT teams.Testing and documentation of the developed solutions.Error analysis and troubleshooting in the SAP S/4HANA Finance system. Your profile: Degree in computer science, business informatics, or a comparable qualification.In-depth knowledge of the SAP S/4HANA Finance environment (ideally FI, CO, AA) and the design and implementation of SAP solutions.Experience in ABAP/ABAP OO development.Ideally, experience with S/4HANA migration projects.Very good German and English skills.
Vacancy at the Berlin University for a professorship (W2) in the field of Health Informatics, which may and should also initiate its own research projects. A Bachelor's programme in Computer Science in Culture and Health and a Master's programme in Applied Computer Science are offered.The teaching assignment is in Bachelor's and Master's degree programmes of the department at the University in Berlin.
. • Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines • Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables • Use and promote the use of established standards, SOP and best practices • Provide training and mentoring to SP team members Requirements: • Bachelor's Degree in Maths, Computer science, Statistics, or related field • 7+ years’ Statistical Programming experience within the Life Science Industry • Strong Efficacy experience • Advanced knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and innovative, in-house technology • Excellent career development and progression opportunities • Work-Life Balance, with a strong focus on a positive well-being Unleash your potential!