{"id":2193375,"url":"https://alion.io/job/viz-ai-clinical-data-scientist","title":"Clinical Data Engineer","company":{"id":8858,"name":"Viz.ai","domain":"viz.ai","url":"https://alion.io/company/viz-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":90,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":129000,"max":145000,"currency":"USD","period":"year","gross":null,"usd_annual":145000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"21 CFR Part 11","optional":false},{"name":"CDISC","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FHIR","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"HIPAA","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Veeva","optional":false}],"status":"live","first_seen_at":"2026-10-09T18:35:17Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-11-01T19:59:27Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":22},"description":"About Viz.ai\nViz.ai is the leader in building and deploying AI-powered Care Pathways and helping doctors do their work. The Viz Platform is deployed in 2,000 hospitals across the United States and trusted by many of the leading life sciences companies. The platform uniquely combines real-time, multimodal clinical data with deep clinician engagement to detect disease earlier, coordinate care teams, and help ensure patients receive the right treatment faster. Viz.ai was the first company to be awarded CMS reimbursement for AI and is ranked the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey. For more information, visit Viz.ai.\nRole Overview\nViz.ai ’s AI-powered care coordination platform helps care teams get patients to the right treatment faster. Our Evidence Generation team shows, with rigorous real-world data, how that translates into better outcomes for patients, providers, health systems, and sponsors.\nYou will build the data foundation for that evidence. You’ll design automated pipelines that turn raw, messy EHR data into clean, audit-ready research datasets, and you’ll own the quality of those datasets from first ingest through data lock. If you like solving hard data-mapping problems and care that the answer is provably correct, this is a rare chance to do it where the results reach real patients.\nKey Responsibilities:\nHealth Data Engineering & Automated Pipelines\nDesign and maintain version-controlled Python/SQL pipelines that transform raw EHR extracts (FHIR bundles, HL7v2 messages, flat files) into structured, EDC-ready datasets, handling field mapping, unit harmonization, deduplication, and complex derivation logic.\n\nReconcile disparate data models, adapting to site-specific EHR variability, mapping constraints, and schema changes.\n\nApply LLM and NLP techniques to extract structured clinical variables from unstructured sources (clinical notes, pathology and radiology reports, discharge summaries), and validate their accuracy.\n\nClinical Data Management (CDM) & Quality Control\nDrive end-to-end data management for Evidence Generation studies, spanning data ingestion, cleaning, quality control (QC), and data lock.\n\nImplement programmatic QC workflows to perform automated anomaly detection, field mapping validation, query generation, and audit trail checks, significantly reducing manual review burden.\n\nBuild and maintain data dictionaries, EDC forms, and eCRF specifications that support standardized ingestion and downstream analytics.\n\nEnsure inspection-ready documentation, maintaining strict data provenance and compliance throughout the dataset lifecycle.\n\nSite Strategy, Governance, & Enablement\nPartner with site IT/informatics and internal teams to navigate EHR system constraints and translate complex site data realities into feasible study data capture plans.\n\nAuthor and maintain foundational clinical governance documents, including Data Management Plans (DMPs), SOPs, runbooks, and transformation/mapping specifications.\n\nGuide internal teams on process optimization and best practices for interacting with real-world health datasets across varying care pathways.\n\nCollaborate closely with Israel-based engineering and AI teams to align technical operations and pipeline development.\n\nYou Will Thrive in This Role If:\nYou enjoy working with raw, complex EHR data and take satisfaction in engineering clean, structured, study-ready datasets out of messy health system extracts.\n\nYou are strong in Python and SQL, passionate about building automated, reproducible ETL pipelines, and eager to leverage modern LLM/NLP tools to extract structured data from unstructured clinical text.\n\nYou value clinical rigor and compliance, remaining meticulous about data integrity, audit trails, and maintainable documentation standards (such as DMPs and SOPs).\n\nYou excel at technical problem-solving, adept at navigating complex field-mapping challenges while balancing immediate study timelines with long-term pipeline scalability.\n\nYou are a collaborative communicator, skilled at translating technical EHR/data pipeline realities into clear, actionable insights for diverse stakeholders across product, clinical, and health systems.\n\nQualifications:\nRequired\n5+ years in clinical research, real-world evidence (RWE), or health informatics.\n\nProven ownership of research database builds, including cleaning, QC, and data lock.\n\nStrong SQL and Python skills for building automated ETL pipelines, transformations, and programmatic QC checks.\n\nHands-on experience transforming raw EHR extracts (FHIR, HL7v2, or flat-file exports) into structured, EDC-ready datasets.\n\nFamiliarity with clinical terminologies and coding systems (e.g., ICD-10, CPT, LOINC, RxNorm) and standard health data structures.\n\nExperience handling data model variations across different health systems.\n\nExperience writing and maintaining governance collateral, including Data Management Plans (DMPs), SOPs, runbooks, and mapping specifications.\n\nWorking knowledge of version control and reproducible-pipeline practices (e.g., Git) to keep transformation code auditable.\n\nFamiliarity with LLM/NLP tools for extracting structured variables from unstructured clinical text (e.g., progress notes, radiology reports, pathology records).\n\nFamiliarity with regulated-data requirements [GCP, 21 CFR Part 11, HIPAA].\n\nPreferred\nHands-on experience with major EDC platforms (e.g., REDCap, Castor, Veeva).\n\nFamiliarity with standardized health and clinical trial data models (e.g., OMOP CDM, CDISC SDTM/ADaM, PCORnet).\n\nUnderstanding of FHIR resource structure and how EHR data is exported.\n\nWhat Success Looks Like:\nFirst 30 days: You understand our EHR data sources, active studies, and current data management process, and you’ve met your key site and internal stakeholders.\n\nBy 60 days: Standardized database templates are in use, and data dictionaries and eCRFs are built (or updated) for active studies. An agreed SDV/QA approach is documented.\n\nBy 90 days: A first raw-EHR-to-EDC pipeline is built and validated for at least one care pathway, with clear audit trails and reproducible outputs.\n\nWhy should you join us?\nIf you are looking to make an impact, we are mission-driven and are making a difference in peoples’ lives every day.\n\nIf you want to be a part of an amazing team , our people are the heart of everything we do.\n\nIf you are a self-starter and naturally motivated, our work is driven by curiosity, innovation and team collaboration which allows us to leverage our skills immeasurably.\n\nWe are a remote-first company across the U.S. and EU, with a team in Tel Aviv operating in a flexible hybrid model, conveniently located near a train line.\nViz.ai is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided.\nIn the U.S., Viz offers competitive benefits, including medical, dental, vision, 401(k), generous vacation, and additional benefits to full-time employees. Viz.ai is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis prohibited by federal, state, or local law.\nEmployees in Israel are offered a comprehensive benefits package, including, among others: dental insurance, performance-based bonuses, a Cibus meal allowance, meals at the office, and more.\nIf you’re applying for a position in San Francisco, please review the San Francisco Fair Chance Ordinance guidelines applicable in your area.\n#LI: GH1\n#LI: remote","description_format":"text","description_chars":7771,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Equity","Generous vacation"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical Imaging Systems","Medical AI","Clinical Decision Support"],"lifecycle":[{"event":"open","at":"2026-10-09T18:40:08Z"},{"event":"close","at":"2026-10-10T00:31:37Z"},{"event":"reopen","at":"2026-10-15T21:21:55Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":22,"expected_fill_days":90,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":145000,"is_top_pay":true},"html_url":"https://alion.io/job/viz-ai-clinical-data-scientist","json_url":"https://alion.io/job/viz-ai-clinical-data-scientist.json","meta":{"generated_at":"2026-11-01T20:26:23Z","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":31301,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":8858},"rest":"https://alion.io/mcp/rest/get_company?id=8858"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fviz-ai-clinical-data-scientist"},{"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%2Fviz-ai-clinical-data-scientist"},{"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%2Fviz-ai-clinical-data-scientist"},{"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/viz-ai-clinical-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fviz-ai-clinical-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2193375}},{"tool":"search_jobs","arguments":{"company":"viz.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2193375},"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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