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Junior Technological Development Analyst – (Applied Statistics | Affirmative Action for Women – 425569)

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelBachelor's Degree

Description

To work in the Computing and Mathematical Optimization Group (COM) of the Deputy Directorate of Technology (DAT). The Deputy Directorate of Technology (DAT) conducts high-complexity technological development to meet demands from research, industry, and society through initiatives in areas including particle accelerators, medical diagnostics, and advanced manufacturing. Within this context, the Computing and Mathematical Optimization Group is responsible for developing methods, algorithms, and solutions for complex problems involving computational modeling and statistical analysis. Our work spans from mathematical formulation and model development to implementation, validation, and integration of solutions into real-world applications, supporting various DAT areas. **Responsibilities and Duties** * Analyze and interpret experimental data from physical and engineering systems. * Develop methods for handling noise, variability, and uncertainty in experimental data. * Assess consistency among data, mathematical models, and numerical simulations. * Support validation of reconstruction, modeling, and prediction algorithms. * Investigate patterns, correlations, and limitations in time series and physical signals. * Collaborate with experimental teams on data interpretation, validation, and qualification. * Apply best practices in scientific software development, versioning, validation, and documentation. **Requirements and Qualifications** * Bachelor’s degree completed in Statistics, Engineering, Physics, Mathematics, or related fields. * Solid foundation in probability and applied statistics. * Experience with programming (Python, MATLAB, or similar). * Interest in working with experimental data and real-world physical systems. * Strong communication and collaboration skills within multidisciplinary teams. * Advanced English proficiency for reading, technical communication, and interaction. **Preferred Qualifications:** * Familiarity with statistical inference methods. * Familiarity with signal processing. * Experience with time-series analysis or correlated data. * Prior experience with experimental data (academic or professional). * Basic knowledge of mathematical modeling, simulation, or optimization. **Additional Information** **Our Benefits** Health Insurance – Unimed Dental Insurance – Uniodonto Psychological Support – Telavita Life Insurance – Allianz Private Pension Plan – BrasilPrev Maternity Leave (extended by 6 months) Paternity Leave (25 days) Childcare Assistance On-site Restaurant Meal and/or Food Allowance – Pluxee (R$1\.020,00/mouth) Shuttle Service Transportation Voucher On-site Parking Club – Telecamp Club – Free SESC Association Membership Wellhub – Discounts at gyms Partnerships with companies offering discounts **We reaffirm our commitment to diversity, equity, and inclusion, encouraging applications from people with disabilities, neurodivergent individuals, women, LGBTI\+, individuals from diverse ethnicities, generations, and body types, as well as other socially marginalized groups.** At the Brazilian Center for Research in Energy and Materials (CNPEM), we are driven by a passion for science. Our environment is a vibrant hub for research and development, where professionals from diverse specialties connect to tackle complex challenges and create solutions for impactful problems—especially in health, energy, renewable materials, and sustainability. We are a Social Organization supervised by the Ministry of Science, Technology, and Innovation (MCTI), at the forefront of scientific research in Brazil. We operate Sirius, the largest scientific infrastructure ever built in the country, and are currently developing the Orion project—a dedicated laboratory complex for advanced pathogen research, to be made available to the national and international scientific community. We offer a broad range of career opportunities for professionals with diverse profiles. At CNPEM, we conduct cutting-edge research across nanotechnology, biosciences, biotechnology, bio-renewables, scientific instrumentation, and accelerator physics—carried out respectively by the National Nanotechnology Laboratory (LNNano), Biosciences Laboratory (LNBio), Bio-Renewables Laboratory (LNBR), and Synchrotron Light Laboratory (LNLS). These initiatives are reinforced by challenging technology projects and frontier-engineering solutions led by the Deputy Directorate of Technology (DAT). This entire ecosystem is supported by an integrated network of strategic areas—including information technology, communications, project management, legal \& compliance advisory, human resources, finance, procurement, sustainability, and innovation—distributed between the General Directorate (DG) and the Shared Services Directorate (DSC). The Deputy Directorate of Infrastructure (DAI) ensures facility maintenance, engineering support, and architectural development, creating optimal conditions for advancing all activities. Ilum School of Science complements these efforts with a Bachelor’s program in Science and Technology, delivering innovative training that prepares new generations of scientists for future challenges. We believe success is achieved through dedication, collaboration, and clear purpose. We value continuous development for our professionals and students, offering an inspiring and supportive environment for both professional and personal growth. We are committed to sustainability and seek solutions that foster a greener future. We prioritize the care and well-being of our staff while valuing diversity and promoting an inclusive environment where everyone is welcome and respected. **If you are passionate about science and seeking a place where you can make a difference, join us at CNPEM.**

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João Silva

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João Silva

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