Fluent in English (written and spoken); proficiency in German (B1) Our Offer: A growing company with a diverse and open-minded working environment with employees from around 40 different countries Flexible working models adapted to your needs (e.g. 100% remote working and up to two months from abroad within the EU possible), working time account with time off in lieu, 30 days' holiday Flexible benefits budget that you can use according to your individual preferences, such as a higher employer contribution to the company pension scheme, fitness & health offers or subsidies for travel or meal costs. E.g. higher employer contribution to the company pension scheme, fitness & health offers or subsidies for travel or catering costs Discounts at hundreds of partner companies through access to the corporate benefits platform Internal and external training courses, tailored to your personal goals Company and team events to build relationships outside of the workplace and celebrate successes together We look forward to receiving your detailed application!
Für einen unserer Großkunden suchen wir derzeit einen freiberuflichen Mitarbeiter, der die nachfolgenden Anforderungen erfüllt: Ihre Aufgaben: Beratung zu Fragen des Preisrechts bei öffentlichen Ausschreibungen und Verträgen (insbesondere in Verbindung mit vergaberechtlichen Vorgaben).
Presenting project progress and critical issues to steering committees Your Profile: Completed degree in business administration, engineering, or a comparable field Required professional experience: 5 years, ideally in the area of supply chain or project management Alternatively, you have experience in regulatory affairs, quality assurance, or pharmacovigilance You already have some experience in coordinating cross functional teams and complex projects You are characterized by analytical thinking and a structured and results-oriented approach to work You communicate and negotiate confidently in German and English and have a good working knowledge of MS Office; knowledge of SAP is an advantage Your way of working is proactive, solution-oriented and communicative Unser Angebot: A growing company with a diverse and open-minded working environment with employees from around 40 different countries Flexible working models adapted to your needs (e.g. up to 100% remote working and up to two months from abroad within the EU possible), working time account with time off in lieu, 30 days' holiday Flexible benefits budget that you can use according to your individual preferences, such as a higher employer contribution to the company pension scheme, fitness & health offers or subsidies for travel or meal costs. E.g. higher employer contribution to the company pension scheme, fitness & health offers or subsidies for travel or catering costs Discounts at hundreds of partner companies through access to the corporate benefits platform Internal and external training courses, tailored to your personal goals Company and team events to build relationships outside of the workplace and celebrate successes together We look forward to receiving your detailed application!
Für unseren Kunden, ein sehr erfolgreiches, agiles und forschendes Pharmaunternehmen, suchen wir dich zum nächstmöglichen Zeitpunkt zunächst in der Arbeitnehmerüberlassung (mit Option auf Übernahme). deine aufgaben: Sei ganz vorne mit dabei!
Unser Kunde ist ein führendes europäisches Unternehmen mit verschiedenen Therapiegebieten. Für den Bereich Spezialpharmazeutika suchen wir dich zum schnellstmöglichen Zeitpunkt als Medical Science Liaison (w/m/d) für den Bereich Onkologie in Direktvermittlung.
Manage Key Stakeholders and Market Access Engage with key external stakeholders such as healthcare professionals, regulatory authorities and trade associations to strengthen market access, ensure business continuity and support long-term positioning.
Manage Key Stakeholders and Market Access Engage with key external stakeholders such as healthcare professionals, regulatory authorities and trade associations to strengthen market access, ensure business continuity and support long-term positioning.
Manage Key Stakeholders and Market Access Engage with key external stakeholders such as healthcare professionals, regulatory authorities and trade associations to strengthen market access, ensure business continuity and support long-term positioning.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Prepare and structure topics, requirements, and stakeholder requests Answer stakeholder questions and create clear, reliable documentation Support and drive new projects from concept phase to implementation Manage and refine incoming requests via the team’s ticketing workflow Derive and define development tasks based on business and data needs Analyze data flows and assess the impact of changes on existing data deliverables Evaluate new data sources and identify opportunities for process optimization Ensure transparency and quality of KPIs and financial data Who you are: 1+ years of experience in a Technical Business Analyst, Data, or similar role Hands-on mentality and strong willingness to learn Experience working with data and IT systems Solid SQL skills (BigQuery is a plus) Understanding of data structures and data flows Basic programming knowledge is a nice to have Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.