About the Job Your Role in our team Twój zakres obowiązków - Indywidualne doradztwo i obsługa partnerów firmy – opiekunek i opiekunów seniora - Prezentacja aktualnych zleceń i pomoc przy doborze oferty - Opieka i koordynacja prawidłowego przebiegu zlecenia, pomoc w sytuacjach kryzysowych - Pełne szkolenie opiekunek z zakresu modelu współpracy, wsparcie administracyjne - Współpraca z międzynarodowym zespołem w języku angielskim lub niemieckim - Samodzielne zarządzanie bazą opiekunów Your Profile Nasze wymagania - Doświadczenie w branży lub agencji pośrednictwa pracy - Znajomość języka niemieckiego i/lub angielskiego (poziom minimum B1) - Duża samodzielność i umiejętność priorytetyzowania działań - Rozwinięte umiejętności interpersonalne: jesteś osobą otwartą i łatwo budujesz relacje - Zdolność pracy pod presją czasu, - Doświadczenie z systemami CRM, jak Salesforce lub Pipedrive, mile widziane Why marta? Benefity - Marta Multisport - Prywatna opieka medyczna Luxmed - Darmowe kursy nauki języków - Spotkania integracyjne - Konkursy dla pracowników

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. The Real-time Visual Analytics Specialist in Early Development Biometrics is responsible for designing, delivering, and maintaining interactive, study-level data visualizations that support Medical Data Review (MDR) and safety signal detection. Operating at the intersection of data science, clinical research, and digital enablement, this role ensures that visual analytics are aligned with Risk-Based Quality Management (RBQM) principles, defined Critical to Quality (CtQ) factors, and Medical Data Review Plans (MDRPs). Required experience and skills which are essential to qualify for this role: - Hold a Bachelor’s degree in life sciences, computer science, data science, bioinformatics, or a related field - Have 1-3 years of experience in clinical data, visualization, or analytics; or an advanced degree with 1-3 years of equivalent work experience - Proficient in tools including R Shiny & Git - Experienced with programming languages including R and tidyverse - Have a basic understanding of clinical trial data and common data structures (e.g., CRF data) - Demonstrate strong attention to detail, logical thinking, and an eagerness to learn visualization standards and clinical workflows - Show respect for cultural differences when interacting with colleagues in the global workplace - Communicate effectively in English, both in writing and verbally   Preferred skills: - Exposure to clinical or safety data structures and terminology (e.g., adverse events, lab results, dosing) - Experience with: - R package development - R Teal - Developer experience with R shiny - Claud code - Familiarity with Risk-Based Quality Management (RBQM) concepts and their role in early development - Interest in visual storytelling and user experience in data interpretation - Ability to follow visual design templates and apply style consistency - Curiosity and willingness to learn visualization standards and workflows in a regulated environment Role KPA'S & day-to-day activities include: The Real-time Visual Analytics Specialist will create standardized yet customizable data visualization templates and provide study teams with high-impact graphical tools to support early development decision-making. Will also serve as a partner and point of support for clinical scientists, offering training and ongoing consultation to ensure effective use of visual analytics in study workflows. With an eye toward scalability, compliance, and scientific relevance, the Real-time Visual Analytics Specialist plays a critical role in accelerating insight generation across exploratory and safety-critical endpoints. - Create and maintain standardized data visualizations to support Medical Data Review and safety signal detection, following established templates and guidance - Apply defined visualization standards to generate outputs aligned with Risk-Based Quality Management (RBQM) principles and Critical to Quality (CtQ) endpoints - Work under guidance to implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones - Support documentation and quality control of visualization deliverables to ensure traceability and compliance - Participate in training sessions and incorporate feedback from more experienced Real-time Visual Analytics Specialists - Assist in responding to basic stakeholder requests and clarifying data availability or visualization functionality - Work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding - Apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility, and seek guidance when facing novel or ambiguous situations - Adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and regulatory expertise

Role Description We are looking for an experienced and strategic Head of Data Science to lead our data science function for the Indonesia market, our largest and most mature market. This is a senior leadership role with broad scope, overseeing a team of 20+ data scientists working across multiple domains including credit risk, collections, and growth modeling. You will work directly with the Chief Data Officer (CDO) to define and execute the strategic vision of the data science team, drive innovation across a diverse set of use cases, and ensure the team delivers meaningful business impact at scale. This role demands both strong leadership and the ability to stay hands-on when needed. Qualifications - Minimum 10 years of experience in data science or machine learning, with at least 3–5 years in a team leadership or management role, preferably leading large teams. - Diverse domain experience across multiple areas such as credit risk, collections, growth, fraud, or customer analytics; breadth of experience is valued as much as depth. - Strong technical skills across the full data science lifecycle, from data analysis and feature engineering to model development and production deployment. - Excellent communication and stakeholder management skills, with the ability to engage and influence senior business leaders. - Experience in the Indonesian market or Southeast Asian financial services industry is a plus. Requirements - Lead, mentor, and grow a team of 20+ data scientists across multiple domains and workstreams. - Work directly with the CDO to define the strategic vision, priorities, and long-term roadmap of the data science function. - Build a high-performance team culture with strong best practices in model development, validation, and deployment. - Manage hiring, onboarding, and career development of data science talent, and play a key role in shaping the team structure as it continues to grow. - Oversee the development and deployment of models across a diverse range of domains including credit risk, collections, fraud detection, customer growth, segmentation, and propensity modeling. - Remain hands-on and lead by example, actively contributing to data analysis, model building, and technical problem solving alongside the team. - Collaborate with ML engineering teams to integrate models into operational systems and data pipelines. - Champion data-driven decision making across all business functions in the Indonesia market. - Serve as the primary data science leader and point of contact for a wide range of stakeholders across risk, collections, product, operations, and growth functions. - Translate complex model outputs and data science insights into clear, actionable recommendations for non-technical audiences. - Regularly present strategic updates, model performance, and key insights to senior leadership and the CDO. - Work closely with cross-functional teams to ensure models are aligned with real business needs and priorities. Benefits - Lead one of the largest and most impactful data science teams in the region, with 20+ data scientists across diverse domains. - Work directly with the CDO to shape the strategic direction of the data science function. - Have real ownership over how the team is built, how models are developed, and how data science influences business decisions at scale. - Work with a passionate, cross-functional team that values data-driven thinking and experimentation.

Lead bioconjugation efforts to develop innovative PDC strategies, manage workflow between Oncology Research and CMC, and establish robust conjugation processes to advance cancer treatment solutions effectively.