{"id":3948838,"url":"https://alion.io/job/lanl-scientist-23","title":"Scientist 2/3","company":{"id":19378,"name":"Lanl","domain":"lanl.gov","url":"https://alion.io/company/lanl","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Alamos, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Computer Vision","optional":false},{"name":"JAX","optional":false},{"name":"Julia","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Time Series","optional":false},{"name":"C++","optional":true}],"status":"live","first_seen_at":"2026-11-08T17:53:33Z","employer_posted_date":null,"last_verified_at":"2026-11-08T17:53:33Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Los Alamos National Laboratory seeks a Scientist 2/3 to advance research and development in remote sensing and data science. The role develops and applies methods to analyze sensor data, supports sensing-system design and field experiments, and communicates findings with interdisciplinary teams.\n\nResponsibilities\nDeveloping algorithms for processing, analyzing, and interpreting image, spectral, time-series, RF, optical, or other sensor data\nApplying statistical, mathematical, machine-learning, AI, or physics-informed methods to detection, estimation, characterization, and inference problems\nSupporting source-to-sensor modeling, including source behavior, propagation, sensor response, and measurement uncertainty\nAnalyzing experimental or field-collected data and comparing results with theoretical, simulated, or modeled expectations\nContributing to the design, characterization, calibration, and optimization of sensing systems and instruments\nParticipating in laboratory, field, or deployment activities to collect and evaluate remote-sensing data\nCommunicating technical results through reports, presentations, publications, and collaboration with interdisciplinary teams\nSupport field experiments at national and, as needed, international locations\n\nSkills\nBackground in engineering, physics, applied mathematics, computer science, data science, or a related technical field\nExperience conducting basic or applied research, engineering development, or technical analysis relevant to sensing, imaging, signal processing, scientific computing, machine learning, or sensor data analysis\nWorking knowledge of image processing, signal processing, statistical analysis, numerical methods, machine learning, or related data-analysis techniques\nExperience using scientific programming tools or languages such as Python, MATLAB, C/C++, Julia, IDL, or similar\nDemonstrated ability and enthusiasm for leveraging modern AI/agentic systems to accelerate scientific research, software development, data analysis, or engineering workflows\nFamiliarity with one or more types of sensor or measurement systems, which may include cameras, focal plane arrays, optical systems, RF systems, acoustic/vibration sensors, spectral sensors, data-acquisition systems, laboratory instrumentation, or field sensors\nAbility to work effectively both independently and as part of an interdisciplinary team\nClear written and oral communication skills, including the ability to contribute to technical reports, presentations, or publications\nAbility to obtain and maintain a DOE Q clearance, which generally requires U.S. citizenship\nExtensive experience applying image/signal processing, statistical methods, applied math, machine learning, or scientific computing to complex problems\nProven ability to develop, implement, or improve algorithms for sensor data analysis\nExperience handling various data types, including imagery, spectral, time-series, RF, optical, vibration, or multi-sensor data\nFamiliarity with advanced areas such as Fourier analysis, estimation theory, sparse signal methods, image reconstruction, spectral analysis, sensor fusion, machine learning, anomaly detection, physics-informed ML, scalable data processing, or sensor calibration\nAbility to link physical concepts, data traits, and computational techniques for effective analysis\nExperience leading technical tasks or mentoring, coordinating teams, or contributing to proposals\nPositions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation\nPosition requires a Master's degree in a STEM field from an accredited college or university and 6 years of relevant experience or an equivalent combination of education and experience directly related to the occupation\nRemote-sensing systems: optical, infrared, spectral, RF, acoustic, vibration, and other sensing modalities\nMachine learning, deep learning, computer vision, statistical modeling, anomaly detection, and physics-informed AI\nLarge data sets, data management, data pipelines, high-performance computing, GPU-based computing\nScientific computing and ML software ecosystems: NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, JAX, OpenCV, or similar\nExperimental design, laboratory measurements, field data collection, instrument characterization\nReusable scientific software development, collaborative software environments, version control\n\nBenefits\nPPO or High Deductible medical insurance with the same large nationwide network\nDental and vision insurance\nFree basic life and disability insurance\nPaid childbirth and parental leave\nAward-winning 401(k) (6% matching plus 3.5% annually)\nLearning opportunities and tuition assistance\nFlexible schedules and time off (PTO and holidays)\nOnsite gyms and wellness programs\nExtensive relocation packages (outside a 50 mile radius)\n\nCompany Overview\nLos Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is It was founded in 1943, and is headquartered in Los Alamos, New Mexico, USA, with a workforce of 10001+ employees. Its website is http://www.lanl.gov.","description_format":"text","description_chars":5304,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":true,"languages":[]},"benefits":["Flexible schedule","Health insurance","Parental leave","Vision insurance","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-09T00:21:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":26,"reasons":["seen:0","win:early"],"computed_at":"2026-11-09T01:43:16Z"},"pay":null,"html_url":"https://alion.io/job/lanl-scientist-23","json_url":"https://alion.io/job/lanl-scientist-23.json","meta":{"generated_at":"2026-11-09T01:43:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3592,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":19378},"rest":"https://alion.io/mcp/rest/get_company?id=19378"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flanl-scientist-23"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flanl-scientist-23"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flanl-scientist-23"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lanl-scientist-23\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flanl-scientist-23"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3948838}},{"tool":"search_jobs","arguments":{"company":"lanl.gov","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3948838},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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