{"id":4087128,"url":"https://alion.io/job/weekday-scientific-software-engineering","title":"Scientific Software Engineering","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":117,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-11T19:10:38Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-13T07:56:00Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"This role is for one of Weekday’s clients\nMin Experience: 5+ years\nLocation: Delhi, India\nJobType: full-time\nWe are looking for an experienced Scientific Software Engineer with approximately 5-10 years of relevant professional experience combining applied data science, scientific software development, and deployment of decision-support applications.\nThe role involves translating complex scientific, engineering, and economic models into robust, scalable, and user-friendly software applications. The ideal candidate will have experience building end-to-end analytical solutions, integrating computational models with backend systems, and developing intuitive graphical user interfaces (GUIs), dashboards, and visualisation tools.\nThe candidate should be capable of designing modular software architectures that keep analytical models independent of the user interface while ensuring security, maintainability, and accessibility through controlled application interfaces.\nRequirements\nKey Responsibilities\n1. Scientific Software Engineering\nTranslate scientific, engineering, and economic models into modular, reusable, and maintainable software applications.\nDevelop software solutions that support scientific analysis, computational modelling, and data-driven decision-making.\nDesign scalable application architectures that allow analytical models to operate independently of graphical user interfaces.\nEnsure the underlying models and software components remain secure, reliable, and maintainable.\n2. GUI & Frontend Development\nDesign and develop intuitive, interactive, web-based applications and graphical user interfaces.\nBuild dashboards, data visualisations, and analytical tools that enable users to interact with complex models and datasets.\nCreate user-friendly interfaces that simplify technical outputs and support effective decision-making.\nEnsure applications are accessible, responsive, and suitable for different user requirements.\n3. Backend Development & Model Integration\nIntegrate scientific and computational models with application backends and computational engines.\nDevelop APIs and application interfaces to manage model execution, data processing, and analytical workflows.\nBuild robust backend services that support efficient communication between analytical models, databases, and user interfaces.\nEnsure reliable execution and integration of computational workflows.\n4. Data Integration & Management\nManage structured and unstructured datasets from multiple sources.\nIntegrate and process data to support scientific analysis and analytical applications.\nWork with relational and geospatial databases to organise and manage complex datasets.\nSupport data processing and integration workflows across application components.\n5. Analytical Platforms & Decision-Support Tools\nDevelop and deploy interactive, GUI-based decision-support applications and scientific software platforms.\nBuild analytical dashboards, visualisation tools, and automated reporting solutions.\nCollaborate with scientific, engineering, and domain experts to translate analytical requirements into functional software.\nDeliver end-to-end applications that connect computational models with intuitive user interfaces.\nMust-Have Skills & Qualifications\nApproximately 5-10 years of relevant professional experience in scientific software engineering, applied data science, or computational application development.\nMaster's degree in Computer Science, Software Engineering, Computer Engineering, or a related discipline.\nExperience developing software applications for scientific or environmental analysis is preferred.\nStrong scientific software engineering skills, including the ability to translate scientific, engineering, and economic models into modular applications.\nExperience in graphical user interface (GUI) development, particularly interactive web-based applications and dashboards.\nBackend development experience, including API development and computational model integration.\nUnderstanding of model execution, data processing, and analytical workflows.\nExperience managing and integrating structured and unstructured datasets from multiple sources.\nFamiliarity with relational or geospatial databases.\nAbility to develop secure, scalable, modular, and maintainable software architectures.\nGood-to-Have Skills\nExperience developing web-based scientific applications.\nBackend application development.\nDevelopment of interactive dashboards, analytical platforms, and automated reporting tools.\nFamiliarity with SQL, APIs, and cloud-based data processing.\nExperience building decision-support tools for industry, government, or research institutions.\nExposure to applied scientific software engineering and 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