887 junior data analyst English-speaking jobs in Berlin

Design new ways to collect and connect data. ... can simultaneously capture multimodal patient-reported and sensor data, from laboratory-grade devices ... D4L Collect is our sensor data collection platform for digital health studies -one place where researchers ... for clinical research, enriching it with validated patient-reported outcome instruments, clinician data ... Collect lets research teams set up and run their studies end-to-end while keeping full control of their data

As our Scientific Lead – Health Data Research, you will own and drive D4L’s applied research agenda at ... Your future role Lead, develop, and grow a team of data scientists and researchers, including goal setting ... Knowledge of ETL processes, SQL databases (PostgreSQL), deidentification, and handling unstructured data ... and Singapore brings together experts from fields such as product development, digital engineering, data ... By linking technology and research, we make health data available to research in a comprehensive, digital

shape the long-term cloud architecture for research workloads, including scale-out strategies, secure data ... and Singapore brings together experts from fields such as product development, digital engineering, data ... By linking technology and research, we make health data available to research in a comprehensive, digital

and Singapore brings together experts from fields such as product development, digital engineering, data ... By linking technology and research, we make health data available to research in a comprehensive, digital ... ensure reliable, stable deployments across environments Help integrate in-house fine-tuned, medical-data-aware

AIR·MS integrates multimodal datasets spanning more than 12 million patients using the OMOP Common Data ... the Head of RWE Projects, and take over end-to-end delivery of AIR·MS, working across engineering, data ... Working understanding of the OMOP Common Data Model, OHDSI standard vocabularies and tooling, HL7 FHIR ... warehouses, data analytics tooling, and cloud infrastructure; having a deep understanding of the work ... environment: Direct experience in working under the constraints that come with identifiable patient data

researchers can simultaneously capture patient-reported and multimodal sensor data, using FHIR, in a ... D4L Collect is our sensor data collection platform for digital health studies -a unified solution where ... sensor-native EDC platform bridging academic registries and clinical trials by introducing Electronic Data ... locking) Partner with site investigators, study coordinators and clinical data managers as co-design ... partners to shape end-to-end workflows Define how captured clinical data flows into Data2Evidence to

Data quality, transparency, interoperability, and data sovereignty are not optional requirements, they ... Real-world evidence does not emerge from large volumes of data alone. ... Your code will support clinical researchers working with real patient data at scale. ... Design with security at the core — shaping authorization concepts and data protection architecture from ... Data4Life develops open science solutions for real-world health data, serving academia, pharmaceutical

The Lead Accounts Payable (all genders) oversees Accounts Payable operations, vendor master data governance

In just a few years, ChapsVision has established itself as a leading European player in Big Data and ... Our mission: enabling companies and public organizations to leverage their data in a sovereign, secure ... scientists, investigators, to efficiently process large volumes of structured and unstructured data. ... ArgonOS is a data operating system designed for high-stakes use cases (military intelligence, security ... high ingestion capacity, and built-in visualization and AI tools, ArgonOS enables users, analysts, data

it simpler for them to draw value from their data.  ... all key components of the Databricks data intelligence platform. ... The team works at the intersection of query processing, storage, infrastructure and data governance, ... You will launch features that will impact how customers process petabytes of data every day and make ... As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance

Preferred Experience with data and data visualization. ... Review complex scientific data for alignment with domain principles and methodologies. ... Provide clear, structured feedback to AI research teams to improve training data quality and downstream ... extensive industry experience in Engineering, Physics, Mathematics, Chemistry, or Software Engineering/Data

hours/week Role Responsibilities Review tasks involving design coordination, procurement, vendor data ... Position: Engineering, Procurement & Construction (EPC) Expert — Data Centers Type: Contract Compensation ... Qualifications Must-Have 2+ years of experience delivering data centers or complex capital projects

Qualifications Must-Have 1+ years of professional data science experience. ... Position: Data Scientist Talent Network Type: Contract Compensation: $100–$150/hour Location: Remote ... Role Responsibilities Design precise, task-specific grading criteria for data science deliverables ... This includes exploratory data analyses, statistical modeling work, machine learning pipelines, and technical

Fluency in enterprise data science tooling and methodologies, with an understanding of F500 data governance ... Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power ... Position: Data Science and Analytics Experts Type: Contract Compensation: $60–$70/hour Location: Remote ... Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and ... Role Responsibilities Construct enterprise data science scenarios for large-scale predictive modeling

professional experience in a comparable position You are very confident in the use of MS Windows 7-11, MacOS, data

an experienced Platform Engineer to help develop the infrastructure behind sophisticated, Real Time data ... Develop highly scalable systems capable of handling significant volumes of continuously generated data ... You'll be responsible for solving challenging engineering problems across distributed systems, streaming data ... Role: Take end-to-end ownership of the infrastructure supporting Real Time machine learning and data-driven ... Collaborate with engineers and specialists across machine learning, data, Back End and product to understand

Performance Marketing, Design, Engineering and Data. ... Turning one universal funnel into personalised, intent-based journeys, using A/B testing and data at ... Shipping and experimenting at pace in a small, data-led team with high autonomy, working closely with

data from upstream data points in a reliable andrecoverable manner. ... Mentor junior and mid-level engineers, promote engineering best practices, andcontribute to code reviews ... Integrate with Apache Kafka and GCP Pub/Sub for event-driven data flows;consume, transform, and cache ... Familiarity with the financial domain, index data, or reporting for financial institutions and regulatory ... You willdesign, build, and operate the services and pipelines that aggregate financial data,render client-facing

relationship types, and inference rules that allow AI systems to reason correctly across commercial data ... well-defined boundaries between the ontology, the semantic data model, and the knowledge graph. ... Formalize Knowledge Representations: Translate business definitions and data models into machine-readable ... Maintain Clear Semantic Boundaries: Collaborate with data modelers and semantic engineers to maintain ... being part of a collaborative team Industry Knowledge: Deep understanding of regulatory requirements, data

Build a trusted People data foundation by combining data from relevant source systems and ensuring data ... and integrating data from multiple sources A sound understanding of data architecture, data quality, ... flows and efficient People processes Establish practical data governance standards for People data, ... data governance, and privacy principles Ability to explain complex data clearly and turn findings into ... data into insights that help leaders make informed decisions.