Johnson & Johnson
Johnson & Johnson
Johnson & Johnson — инновациялық дәрі-дәрмектер мен медициналық технологиялар бағытында жұмыс істейтін жаһандық денсаулық сақтау компаниясы. Оның командалары онкология, иммунология, неврология, арнайы офтальмология, интервенциялық емдеу және ортопедия салаларында шешімдер әзірлеп, күрделі денсаулық сақтау қажеттіліктерін шешу үшін ғылым мен технологияны ұштастырады. Компания бүкіл әлемдегі медицина қызметкерлеріне, пациенттерге және қауымдастықтарға қызмет көрсете отырып, денсаулық сақтау саласындағы теңдікке, қоршаған ортаның тұрақтылығына, алуан түрлілікке және инклюзияға да басымдық береді.

Senior AI Safety Scientist – Johnson & Johnson, Hybrid Madrid

Lead AI safety research for Johnson & Johnson’s pharmaceutical R&D platform, focusing on provable controls, adversarial assurance, and safety-centered architectures. Hybrid position based in Madrid or Barcelona.

Сипаттама

  • Establish deterministic, explainable controls across agentic workflows.
  • Create machine-readable policies for agent behavior, tool use, data access, and information flow.
  • Deploy auditable enforcement for high-impact agent actions, including human-approval routes.
  • Provide accessible policy interfaces for owners to create, test, and maintain controls.
  • Develop continuous red-team approaches combining AI threat models with pharmaceutical R&D failure scenarios.
  • Integrate adversarial testing into the GenAI Platform across models, agents, tools, and complete workflows.
  • Set evaluation methods, adjudication rules, and evidence thresholds for safety properties.
  • Research and prototype safety-centered architectures built on layered technical controls.
  • Assess pre-training data interventions and post-training techniques such as supervised fine-tuning, preference optimization, and safety tuning.
  • Convert scientific, quality, privacy, and regulatory obligations into testable system specifications.
  • Establish accountability measures and evidence requirements for AI safety claims.
  • Maintain traceable, reconstructable control decisions for audit evidence.
  • Collaborate with R&D scientists, platform engineering, security, privacy, legal, and quality teams.
  • Guide the scientific work of a small cross-functional team and represent it through publications and standards contributions.
  • Develop prototypes, define technical direction, and transition results into the platform with engineering partners.

Талаптар

  • PhD in computer science, AI/ML, applied mathematics, or a closely related technical discipline is required.
  • At least one year of post-PhD research or industry experience developing and deploying AI/ML, autonomous-agent, or security-critical systems.
  • Advanced practical knowledge of agentic AI, including foundation models, retrieval-augmented generation, tool orchestration, memory, planning, multi-agent frameworks, and related failure modes.
  • Research or applied experience in AI safety and alignment, including supervised fine-tuning, preference optimization, safety tuning, adversarial evaluation, interpretability, or scalable oversight.
  • Expertise in at least one area: policy-as-code and authorization; adversarial machine learning and AI red teaming; information-flow or data-access control; provenance and lineage; or formal specification and verification.
  • Strong AI engineering ability, including prototyping evaluation and control techniques, running reproducible experiments, and producing production-ready code.
  • Excellent written and spoken communication skills.
  • Scientific rigor in describing model and agent behavior, uncertainty, limitations, failure conditions, and supporting evidence.
  • Published or otherwise recognized work in relevant leading journals or conferences is preferred.
  • Experience adapting foundation models for scientific domains and evaluating their safety properties is preferred.
  • Practical experience with policy engines, authorization languages, or formal policy specifications is preferred.
  • Familiarity with MITRE ATLAS, OWASP LLM guidance, NIST AI RMF, ISO/IEC 42001, or the EU AI Act is preferred.
  • Experience with data classification, de-identification, and privacy-preserving machine learning is preferred.
  • Experience deploying AI in life sciences or another regulated, high-stakes environment is preferred.
  • Familiarity with GxP, data integrity, and validation of AI-enabled computerized systems is preferred.
  • Experience assessing third-party AI safety, evaluation, or control technologies is preferred.
  • Experience creating reusable AI safety capabilities adopted by multiple teams is preferred.

Артықшылықтар

  • Annual bonus with a target determined by pay grade and location, based on individual and company performance.
  • Paid vacation days.
  • At least 12 weeks of parental leave.
  • Bereavement leave.
  • Caregiver leave.
  • Volunteer leave.
  • Well-being reimbursement.
  • Financial, physical, and mental health programs.
  • Service anniversary and recognition awards.
  • Insurance coverage for employees and, in some locations, eligible dependents.

Ұқсас жұмыс орындары

Working Families Party

Accounts Payable Specialist – Brooklyn Hybrid

Working Families Party
51 – 200 Қызметкерлер
Әлеуметтік әсерҮкімет

Provide temporary accounts payable support for EpicWorks’ financial operations serving movement organizations. Handle invoices, reconciliations, expense reports, vendors, and AP systems during a period of transition.

Ашу
Duke Energy Corporation

Senior Product Manager, Accounts Receivable and Customer Financial Services

Duke Energy Corporation

Lead Duke Energy’s SAP-based accounts receivable and customer financial services portfolio, shaping its product roadmaps and operations. Coordinate regulatory work and cross-functional delivery across the portfolio.

Ашу
IDS Comercial

Remote Front-End Developer (Angular) — Mexico

IDS Comercial
1 001 – 5 000 Қызметкерлер
КонсалтингЛогистикаӨндіріс

Build financial and enterprise applications for Mexican IT consultancy IDS Comercial, using Angular, TypeScript, REST APIs, and NgRx.

Ашу
Coupa Software

Senior Collections Associate, Pune (Hybrid)

Coupa Software

Manage complex, high-value customer receivables for Coupa’s spend management platform. Lead collections, resolve disputes, maintain forecasts, and improve processes.

Ашу
PGIM

Accounting Specialist, PGIM Fixed Income

PGIM

Support fee billing and revenue accruals for PGIM Fixed Income’s institutional clients. Prepare invoices, resolve billing issues, and help maintain financial controls and reporting.

Ашу
Aveanna Healthcare

Remote Healthcare Billing Specialist in Arizona | Aveanna Healthcare

Aveanna Healthcare

Manage healthcare receivables, claims, denials, and payer reimbursement for Aveanna Healthcare. Support homecare finances with accurate collections and compliant billing practices.

Ашу
CivilGrid

GIS Developer — CivilGrid, Kansas City

CivilGrid
11 – 50 Қызметкерлер
Құрылыс

Build Python-based geospatial workflows and utility data tools for CivilGrid’s civil infrastructure platform. This hybrid Kansas City role works with Esri, PostGIS, APIs, and GIS automation.

Ашу
Ensemble Performing Arts

Senior FP&A Analyst

Ensemble Performing Arts
1 001 – 5 000 Қызметкерлер
Білім беруКонсалтингМаркетинг

Lead financial data, budgeting, forecasting, and cash flow analysis for Ensemble Performing Arts, a U.S. platform of performing arts schools and businesses.

Ашу
Brown & Brown Insurance

Insurance Billing Specialist

Brown & Brown Insurance

Process insurance payments and policy changes for One80 Intermediaries, Brown & Brown’s specialty insurance distribution platform. Manage a client caseload, meet service-level targets, and support Premium Accounting operations.

Ашу
Purple

Accounts Payable Administrator (Hybrid) at Purple

Purple

Manage bill processing, reconciliations, payment runs, and vendor records for Purple in a hybrid role. Guide A/P clerks and help maintain accurate financial close records.

Ашу