{"id":2243820,"url":"https://alion.io/job/nestle-lab-data-technology-specialist-nestle-research","title":"Lab Data Technology Specialist - Nestlé Research","company":{"id":447067,"name":"Nestlé","domain":"nestle.com","url":"https://alion.io/company/nestle-7","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"A","score":100,"open_postings":38,"ghost_share":0,"stale_share":0.053,"repost_share":0.026,"time_to_fill_p50_days":17,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Lausanne, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":189000,"period":"year","method":"role_country_seniority_unknown","sample_n":13},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Power BI","optional":true},{"name":"Streamlit","optional":true}],"status":"live","first_seen_at":"2026-10-03T02:00:00Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-31T02:04:48Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Strategic Research Operations\nLocation: Lausanne, Switzerland\nWork model: Hybrid / Full time 100%\nContract type / duration: Permanent\nShape the future through scientific breakthroughs and innovation.\nAs a Lab Data Technology Specialist at Nestlé Research within our Computational Sciences department, you will be responsible for reinforcing ourlaboratory data foundations to help unlock the full value of the data generated by our scientific instruments and laboratory systems. Sitting at the intersection of science, laboratory data, and modern data engineering, you will leverage latest data technologies and AI for coding tools to transform raw, heterogeneous scientific data into trusted, well-documented, and reusable data assets that accelerate impactful scientific research.\nHow you’ll make an impact as a Lab Data Technology Specialist\nPartner with laboratory stakeholders. data domain owners, lab business analysts together with data architects and engineers to translate functional requirements into scalable, and well-documented technical solutions, ensuring alignment between scientific workflows and technological capabilities\nEnable new and existing laboratory instruments end to end, from understanding the scientific workflow and data outputs to defining and establishing connectivity and data flow (LIMS, robotics, automation platforms, downstream systems), in collaboration with IT network, security specialists\nCollaborate with internal and external professionals to propose and implement customizations to lab digital platforms used (LIMS, instrument integration, technology specific data processing, metadata capture) in view of efficiency, quality, traceability, and governance by design\nIdentify opportunities to increase value of lab data gathered across different sources by leveraging data technologies (data integrations, data warehousing, automated data quality checks, etc)\nSupport testing, deployment, change management, and continuous improvement of compliant, scalable lab solutions, including AI-enabled opportunities to strengthen data flows and unlock value from lab data\nWhat will make you successful\nBachelor's or Master's degree in a scientific or computational discipline (e.g., Chemistry, life sciences, Bioinformatics, Cheminformatics, Data Engineering, Computer Science), or equivalent experience.\nSolid experience in applying data engineering to scientific, laboratory data\n Required technical skillsLIMS customization, data models, and integration.\nIntegrating lab instruments, applications, robots, and IoT with reference databases and data warehouses (e.g., Snowflake).\nSolid grasp of the lab solutions ecosystem: ELN, CDS, LES, multi-omics pipelines, IoT-connected equipment, barcode systems, etc.\nProgramming (e.g., Python, R, Java, Groovy).\nData engineering and modeling - ETL/ELT (Airflow, dbt), APIs, orchestration, SQL/NoSQL - with engineering rigor (Git, CI/CD, testing, data quality, observability, reproducibility).\n\n Nice-to-have technical skillsSemantic modeling, ontologies, and knowledge graphs (e.g., RDF/SPARQL, biomedical/chemical vocabularies).\nFAIR data implementation, metadata management, and lineage tooling\nEnabling AI/ML and analytics use cases on scientific data\nDomain exposure in chemistry, biology, food, or omics\nReporting tools (e.g., DASH, Streamlit, Power BI) is an advantage \nLeveraging Agentic AI to automate data engineering activities\n\nRequired non-technical skillsStrong problem-solving and hands-on mindset\nExcellent communication and stakeholder management skills\nExperience collaborating with external vendors and data professionals and driving delivery through others\nAbility to work in cross-functional and international teams\nStrong organizational and prioritization skills\nFluent spoken and written English\n\nAt Nestlé Research, we place people at the core of everything we do.\nOur benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:\nFlexible working options, including hybrid work possibilities (for office based roles)\nPaid holidays beyond legal requirements\nLearning and development opportunities to grow your career\nPerformance based bonus\nHealthcare contribution and access to the Employee Assistance Program\nStrong employer contribution to your pension plan\nGenerous parental leave and comprehensive family support solutions\nAttractive employee discounts across various products and services\nWhat to expect from our hiring process\nWe are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodations if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.\nThe hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and close the role once a strong list of relevant candidates is identified, so we encourage you to apply early. All information is treated confidentially.\nStay vigilant: Nestlé will only contact candidates via official company email addresses and will never ask for payments or sensitive personal information at any stage of the hiring process.\nReady to #BreakthroughTogether?\nApply now and shape the future through scientific breakthroughs and innovation.\nStrategic Research Operations\nLocation: Lausanne, Switzerland\nWork model: Hybrid / Full time 100%\nContract type / duration: Permanent\nShape the future through scientific breakthroughs and innovation.\nAs a Lab Data Technology Specialist at Nestlé Research within our Computational Sciences department, you will be responsible for reinforcing ourlaboratory data foundations to help unlock the full value of the data generated by our scientific instruments and laboratory systems. Sitting at the intersection of science, laboratory data, and modern data engineering, you will leverage latest data technologies and AI for coding tools to transform raw, heterogeneous scientific data into trusted, well-documented, and reusable data assets that accelerate impactful scientific research.\nHow you’ll make an impact as a Lab Data Technology Specialist\nPartner with laboratory stakeholders. data domain owners, lab business analysts together with data architects and engineers to translate functional requirements into scalable, and well-documented technical solutions, ensuring alignment between scientific workflows and technological capabilities\nEnable new and existing laboratory instruments end to end, from understanding the scientific workflow and data outputs to defining and establishing connectivity and data flow (LIMS, robotics, automation platforms, downstream systems), in collaboration with IT network, security specialists\nCollaborate with internal and external professionals to propose and implement customizations to lab digital platforms used (LIMS, instrument integration, technology specific data processing, metadata capture) in view of efficiency, quality, traceability, and governance by design\nIdentify opportunities to increase value of lab data gathered across different sources by leveraging data technologies (data integrations, data warehousing, automated data quality checks, etc)\nSupport testing, deployment, change management, and continuous improvement of compliant, scalable lab solutions, including AI-enabled opportunities to strengthen data flows and unlock value from lab data\nWhat will make you successful\nBachelor's or Master's degree in a scientific or computational discipline (e.g., Chemistry, life sciences, Bioinformatics, Cheminformatics, Data Engineering, Computer Science), or equivalent experience.\nSolid experience in applying data engineering to scientific, laboratory data\n Required technical skillsLIMS customization, data models, and integration.\nIntegrating lab instruments, applications, robots, and IoT with reference databases and data warehouses (e.g., Snowflake).\nSolid grasp of the lab solutions ecosystem: ELN, CDS, LES, multi-omics pipelines, IoT-connected equipment, barcode systems, etc.\nProgramming (e.g., Python, R, Java, Groovy).\nData engineering and modeling - ETL/ELT (Airflow, dbt), APIs, orchestration, SQL/NoSQL - with engineering rigor (Git, CI/CD, testing, data quality, observability, reproducibility).\n\n Nice-to-have technical skillsSemantic modeling, ontologies, and knowledge graphs (e.g., RDF/SPARQL, biomedical/chemical vocabularies).\nFAIR data implementation, metadata management, and lineage tooling\nEnabling AI/ML and analytics use cases on scientific data\nDomain exposure in chemistry, biology, food, or omics\nReporting tools (e.g., DASH, Streamlit, Power BI) is an advantage \nLeveraging Agentic AI to automate data engineering activities\n\nRequired non-technical skillsStrong problem-solving and hands-on mindset\nExcellent communication and stakeholder management skills\nExperience collaborating with external vendors and data professionals and driving delivery through others\nAbility to work in cross-functional and international teams\nStrong organizational and prioritization skills\nFluent spoken and written English\n\nAt Nestlé Research, we place people at the core of everything we do.\nOur benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:\nFlexible working options, including hybrid work possibilities (for office based roles)\nPaid holidays beyond legal requirements\nLearning and development opportunities to grow your career\nPerformance based bonus\nHealthcare contribution and access to the Employee Assistance Program\nStrong employer contribution to your pension plan\nGenerous parental leave and comprehensive family support solutions\nAttractive employee discounts across various products and services\nWhat to expect from our hiring process\nWe are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodations if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.\nThe hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and close the role once a strong list of relevant candidates is identified, so we encourage you to apply early. All information is treated confidentially.\nStay vigilant: Nestlé will only contact candidates via official company email addresses and will never ask for payments or sensitive personal information at any stage of the hiring process.\nReady to #BreakthroughTogether?\nApply now and shape the future through scientific breakthroughs and innovation.","description_format":"text","description_chars":10825,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Hybrid work","Parental leave","Performance based bonus"],"hiring_locations":[{"name":"Switzerland","iso":"CH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Bioinformatics","Biomedical Engineering"],"lifecycle":[{"event":"open","at":"2026-10-11T01:13:26Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.557,"p_room":0.45,"age_days":27,"expected_fill_days":17,"reasons":["conf:1","velocity","win:tail","comp:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/nestle-lab-data-technology-specialist-nestle-research","json_url":"https://alion.io/job/nestle-lab-data-technology-specialist-nestle-research.json","meta":{"generated_at":"2026-10-31T02:44:54Z","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":3873,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":447067},"rest":"https://alion.io/mcp/rest/get_company?id=447067"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnestle-lab-data-technology-specialist-nestle-research"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fnestle-lab-data-technology-specialist-nestle-research"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fnestle-lab-data-technology-specialist-nestle-research"},{"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/nestle-lab-data-technology-specialist-nestle-research\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnestle-lab-data-technology-specialist-nestle-research"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2243820}},{"tool":"search_jobs","arguments":{"company":"nestle.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2243820},"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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