Johnson & Johnson este o companie globală din domeniul sănătății, care activează în industria farmaceutică, a dispozitivelor medicale și a produselor pentru sănătatea consumatorilor. Activitățile sale de cercetare și dezvoltare a produselor includ medicamente și terapii pentru oncologie, imunologie, neuroștiință și afecțiuni cardiopulmonare, precum și soluții MedTech pentru îngrijirea cardiovasculară, ortopedie, chirurgie și oftalmologie. Activitatea mai amplă a companiei include, de asemenea, educație pentru sănătate și bunăstare, producție la scară largă, activități pentru investitori și inițiative globale cu impact social, oferind oportunități în domenii științifice, clinice, inginerești, de producție, comerciale și corporative.
Senior Manager, Neuroscience Data Transformation (Onsite)
Lead Johnson & Johnson Innovative Medicine’s transformation of neuroscience clinical and omics data into AI-ready products. Own governed pipelines, data products, and multi-omics workflows across research studies.
Descriere
- Develop and operationalize scalable, governed clinical and omics data products
- Manage the full data product lifecycle, from requirements and modeling through processing, quality controls, metadata, lineage, versioning, access, and continued enhancement
- Create scalable data models for AI-extracted neuroscience clinical data from varied sources and formats
- Build and optimize Nextflow and Tower pipelines using AWS S3, Snowflake, and TileDB for large-scale multi-omics processing
- Develop reusable modules that convert assay outputs into harmonized formats for data science and AI use cases
- Work with Solution Architecture, Vector Data Engineering, and Governance teams to apply FAIR data principles and compliance requirements
- Direct pipeline optimization, code reviews, and software development best practices
- Collaborate with AI/ML Core and data science teams to produce high-quality, AI-compatible datasets
- Mentor junior engineers and advance workflow standardization and optimization across studies
- Strengthen interoperability across discovery, translational, and clinical data layers
Cerințe
- Master’s or PhD in Bioinformatics, Data Engineering, Computer Science, or a related field
- At least five years of experience developing data pipelines in life sciences, drug discovery research, or analytics environments
- Practical experience with clinical data standards and models such as CDISC SDTM/ADaM, FHIR, or OMOP
- Practical experience developing multi-omics workflows involving proteomics, RNA-seq, metabolomics, or single-cell data
- Practical experience applying embedding or vector representation methods to scientific data integration
- Proficiency with Nextflow, AWS, and Python or Bash scripting
- Working familiarity with Snowflake, TileDB, and scientific data formats
- Required familiarity with clinical trial data and scientific literature
- Industry or neuroscience experience is preferred
- Experience focused on neuroscience, including neurodegeneration, neuropsychiatry, or ophthalmology, is preferred
- Strong attention to detail and a demonstrated commitment to data quality and reproducibility
Beneficii
- Annual performance bonus
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short- and long-term disability insurance
- Business accident insurance
- Group legal insurance
- Company-sponsored pension plan
- 401(k) savings plan
- Up to 120 hours of vacation per calendar year
- Up to 40 hours of sick time per calendar year
- Holiday pay, including up to 13 Floating Holidays per calendar year
- Up to 40 hours of Work, Personal, and Family Time per calendar year