Scientist, Data Science - Preclinical Sciences & Translational Safety

Johnson & Johnson, S.a.
Municipality of Madrid, Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
€ 88K

Job location

Municipality of Madrid, Spain

Tech stack

3d Models
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Cloud Database
Computational Biology
Information Engineering
R
Graph Database
Python
Machine Learning
SQL Databases
Management of Software Versions
Workflow Management Systems
Delivery Pipeline
Snowflake
Information Technology
Software Version Control
Data Pipelines
Serverless Computing
Redshift

Job description

sources such as toxicology studies, PK/PD datasets, biomarker readouts, and animal study repositories. - Transform raw experimental outputs into standardized, AI-ready datasets using Python, R, and cloud-native services. - Contribute to harmonized scientific data models in collaboration with data engineering and ontology teams. - Scientific Domain Integration - Work directly with toxicology, DMPK, and safety stakeholders to interpret scientific context and translate study designs into computational requirements. - Apply an understanding of mechanism-based toxicology, exposure-response concepts, and in vivo study structures to guide data transformations and modeling strategies. - Enhance cross-study comparability via standardized terminologies, metadata practices, and quality checks. - Collaborate with PSTS functional experts, R&D Data Science teams, and platform architects to ensure high-quality, scalable data solutions. Qualifications - Required -, Advanced degree (MS or PhD) in

Requirements

Data Science, Computational Biology, Toxicology, Pharmacology, Biomedical Engineering, Computer Science, or a related field, 1+ years of experience applying machine learning and/or data engineering to scientific or biomedical datasets. - Proficiency with Python and/or R, SQL, and modern data engineering tooling (cloud computing, workflow orchestration, version control). - Experience with ML model development, evaluation, and deployment pipelines. - Experience working with biological, toxicology, PK/PD, or in vivo datasets. - Preferred - Experience in safety sciences, ADME/DMPK, toxicogenomics, or biomarker analytics. - Familiarity with scientific data formats such as assay outputs, histopathology data, PK time-course datasets. - Exposure to ontologies, semantic technologies, or knowledge graph integration for scientific domains. - Experience with cloud-based data architectures (AWS S3, Snowflake, Redshift). - Understanding of regulatory data standards (SEND, CDISC).

Benefits & conditions

Benefits & Pay Benefits include an annual bonus, vacation days, parental leave (minimum 12 weeks), bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, financial, physical and mental health programs, service anniversary and recognition awards, and various insurance plans. Pay range: €55,400.00 - €87,860.00 in Madrid. Additional location ranges may apply. Equal Opportunity Employer Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section503 of the Rehabilitation Act.

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