• Define and execute Digital Science's researcher growth strategy, ensuring the channel delivers measurable contribution to company and segment growth objectives. • Build the programs and operating models that convert researcher engagement into commercial outcomes — from first adoption through retention and cross-product expansion. • Partner with Product, Marketing, and segment leaders (Academic, Enterprise, Government, Publisher) to prioritize investments and align initiatives with market priorities. • Build and scale a global researcher community — including ambassador and advocacy programs — that drives awareness, engagement, and commercial growth. • Develop and optimize direct-to-researcher commercial motions that convert engagement into revenue, pipeline, institutional demand, and customer expansion. • Monitor channel performance against targets, flagging risks early and acting decisively. • Build alignment across market, product, marketing, and commercial leaders, establishing shared goals and operating rhythms for coordinated execution. • Define the metrics that quantify the channel's contribution — revenue, pipeline, conversion, retention, lifetime value, cross-product adoption, and community engagement — and drive continuous improvement through experimentation and analysis. • As a member of the Commercial Leadership Team, embed researcher engagement into portfolio planning and product investment decisions, serving as the executive voice for researcher growth at the highest levels of the company.

• Research, prototype and scale new ideas to improve population health and healthcare delivery • Collaborate with analytic and business teams to set objectives, approaches, and work plans • Collaborate with strategy to evaluate existing programs and identify and measure new solutions to impact healthcare • Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights • Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes • Translates analytic results into key takeaways and make recommendations to business partners • Understands department, segment, and organizational strategy and operating objectives, and translate the strategy to work priorities • Make decisions regarding own work methods, occasionally in ambiguous situations with general guidance

• Define and execute the strategy of the Extractables & Leachables technology area in alignment with Product and Technology Roadmaps to influence business direction • Drive the evolution of science-based and proactive E&L approaches, moving beyond reactive compliance and reducing experimental burden through predictive methodologies • Develop and advance mechanistic and data-driven E&L methodologies, including predictive models and integration of toxicological data into risk and safety frameworks • Evaluate emerging industry trends, regulatory developments, and state-of-the-art technologies to identify innovation opportunities and guide scientific direction • Act as internal and external Key Opinion Leader, contributing to industry consortia, regulatory initiatives, scientific publications, and conference presentations • Lead high-level technical discussions with customers and contribute to product qualification strategies, ensuring strong customer value creation and differentiation • Build and leverage internal and external networks while coaching and mentoring scientists and ensuring knowledge transfer across teams and functions

Role Description EUMETSAT is currently looking for an experienced Remote Sensing Scientist to join our international team contributing to the L1 geometric processing aspects for EUMETSAT’s Geostationary and Low Earth Orbit Missions. This role focuses on the analysis and optimisation of image navigation and registration performance, including geometric monitoring and quality assessment of L1 products. The Remote Sensing Scientist – Image Navigation and Registration Scientist is responsible for the scientific development, validation, and operational support of Level-1 (L1) remote sensing products for current and future satellite missions. The post holder provides scientific support to operational data processing activities to ensure the reliable and timely generation of products. - Develop and maintain scientific software tools, primarily in Python, for performance monitoring, anomaly investigation, and algorithm evolution. - Analyse large datasets, work with databases, and assess the impact of instrument and platform characteristics on geometric processing performance and product quality. Qualifications - An advanced university degree (Master’s or PhD) in Remote Sensing, Physics, Meteorology, Engineering or related disciplines. Requirements - Acquire and maintain an in-depth understanding of the imagers, infrared Fourier Transform Spectrometers, polarimeters and imaging spectrometers of current (EPS, MSG, MTG-I, Sentinel-3, MTG-S, EPS-SG) and future (CO2M and next generation GEO/LEO) satellite systems and of their Level-1 algorithmic processing and geometric performances. - Develop and apply data analysis and image processing methods (primarily using Python) to assess geometric performances and support operational Level-1 processor improvements for operational satellite programmes. - Support the maintenance, enhancements, testing and validation of the Level-1 processing systems for current and future missions, including monitoring performance, resolving processing anomalies and evolving Level-1 processing specifications. - Support the design, implementation, maintenance, and continuous improvement of geometric performance tools for commissioning, calibration/validation (Cal/Val), and routine operations. Skills and Experience - Good theoretical knowledge of remote sensing physics relevant to measurements of optical instruments. - Proven experience in developing scientific application software using Python. Familiarity with databases and additional expertise in general-purpose programming languages (such as C++ and Java) is an advantage. - Familiarity with spaceborne Image Navigation and Registration (INR), rectification, and geometric image quality assessment methodologies and techniques is an advantage. - Demonstrated experience of working with optical imaging instruments Level-1 algorithmic processing, in the development or the operational phase. - Excellent analytical, synthesis, and presentation skills, paired with strong interpersonal abilities and a proven track record of successfully applying these skills within teams and across multidisciplinary collaborations. Employment Conditions - The initial contract will be of 4 years’ duration, with subsequent 5 year contracts being awarded thereafter, subject to individual performance and organisation requirements. - This post is graded A2/A4 on the EUMETSAT salary scales. The minimum basic salary for this post is EURO 7,553 per month (net of internal tax but excluding pension contribution and insurances) which may be negotiable on the basis of skills and experience. - In addition to basic salary, EUMETSAT offers attractive benefits.