{"id":275120,"url":"https://alion.io/job/abbvie-associate-scientific-technical-engineer-ii-pdst-cmc","title":"Associate Scientific Technical Engineer II, PDS&T CMC","company":{"id":3660,"name":"AbbVie","domain":"abbvie.com","url":"https://alion.io/company/abbvie","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":68,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Biotech","role_family":"Biotech","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Waltham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":65500,"max":125500,"currency":"USD","period":"year","gross":null,"usd_annual":125500},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"21 CFR Part 11","optional":false},{"name":"Airflow","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Erwin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"Informatica","optional":false},{"name":"LIMS","optional":false},{"name":"LLM","optional":false},{"name":"Master Data Management","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-08-17T13:15:33Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-30T13:26:55Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"About AbbVie\nAbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.\n While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain.\nWe here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how AbbVie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI.\nThis position is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem.\nThis role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use.\nEnterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages \nBuilding AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future \nGrowth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership \nMission: Every model you build helps ensure safe, reliable medicines reach patients at scale \nResponsibilities:\nData Ingestion & Integration\nDesign and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. \nBuild connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. \nSupport both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. \nData Harmonization & Semantic Modeling\nDevelop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. \nExecute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. \nCollaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. \nData Quality, Observability & Governance\nImplement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. \nBuild and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. \nEstablish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. \nSupport data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. \nAI/ML Enablement & Data Product Development\nArchitect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. \nPartner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. \nAccelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. \nPlatform & Operational Enablement\nContribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. \nWrite and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. \nSupport platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. \nProvide operational support for production data pipelines, maintaining uptime and data freshness commitments. \nStakeholder Engagement & Scientific Leadership\nInfluence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. \n Required:\nBachelor's Degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 2 years’ experience OR Master’s Degree with 0 years' experience.\nRespective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. \nExpert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. \nStrong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. \nDemonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. \nDevelop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). \nImplement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. \nSet and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. \nDesign logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). \nOwnership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. \nSolution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. \nScientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. \nInfluence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. \nBias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. \nPreferred:\nExperience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. \nFamiliarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. \nPrior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms \nExperience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. \n Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:\nThe compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. \nWe offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.\nThis job is eligible to participate in our short-term incentive programs. \nNote: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.\nAbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.\nUS & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html\nUS & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:\nhttps://www.abbvie.com/join-us/reasonable-accommodations.html","description_format":"text","description_chars":10176,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Oncology Therapeutics","Neurology & CNS Therapeutics","Immunology & Inflammation Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-05T13:11:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 236 · green card filings: 57","filings_12m":236,"filings_prev_12m":256,"green_card_filings_12m":57,"median_offered_wage_usd":150555,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.171,"p_room":0.28,"age_days":73,"expected_fill_days":16,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":125500,"is_top_pay":true},"html_url":"https://alion.io/job/abbvie-associate-scientific-technical-engineer-ii-pdst-cmc","json_url":"https://alion.io/job/abbvie-associate-scientific-technical-engineer-ii-pdst-cmc.json","meta":{"generated_at":"2026-10-30T14:37:08Z","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":2162,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":3660},"rest":"https://alion.io/mcp/rest/get_company?id=3660"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fabbvie-associate-scientific-technical-engineer-ii-pdst-cmc"},{"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%2Fabbvie-associate-scientific-technical-engineer-ii-pdst-cmc"},{"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%2Fabbvie-associate-scientific-technical-engineer-ii-pdst-cmc"},{"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/abbvie-associate-scientific-technical-engineer-ii-pdst-cmc\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fabbvie-associate-scientific-technical-engineer-ii-pdst-cmc"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":275120}},{"tool":"search_jobs","arguments":{"company":"abbvie.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":275120},"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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