Principal Data Scientist – R&D DSDH - Preclinical Sciences & Translational Safety (PSTS)
Johnson & Johnson
5 months ago
Remote friendly (Titusville, NJ)
United States
Clinical Research and Development
Principal Data Scientist – R&D DSDH - Preclinical Sciences & Translational Safety (PSTS)
Position Summary
- Use machine learning and data engineering to create AI-ready datasets, build predictive models, and deliver analytics that improve safety evaluations and support translational research within PSTS.
Key Responsibilities
- Develop/deploy ML/AI for safety signal detection, dose selection, PK/PD modeling, toxicology insights, and translational interpretation.
- Build representation-learning, predictive, and multivariate models across in vivo, in vitro, exposure-response, and pathology data.
- Create scalable pipelines integrating PSTS-relevant data sources; transform raw outputs into standardized AI-ready datasets (Python/R/cloud).
- Partner with toxicology/DMPK/safety SMEs; apply mechanism-based toxicology and exposure-response concepts; improve cross-study comparability using standardized terminologies, metadata, and quality checks; follow model governance/versioning/validation standards.
Qualifications
Required:
- MS or PhD in Data Science/Computational Biology/Toxicology/Pharmacology/Biomedical Engineering/Computer Science (or related).
- 3+ years applying ML/data engineering to scientific/biomedical datasets.
- Proficiency: Python and/or R, SQL, and modern data engineering (cloud, workflow orchestration, version control).
- Experience with ML model development/evaluation/deployment; biological/toxicology/PK-PD/in vivo dataset experience.
Preferred
- Safety sciences; ADME/DMPK; toxicogenomics/biomarker analytics; scientific data formats; ontologies/semantic tech/knowledge graphs; AWS S3/Snowflake/Redshift; SEND/CDISC.
Skills (listed)
Advanced analytics; data analysis/visualization; data quality & privacy; critical thinking; strategic/technical credibility; workflow/process improvement.
Benefits (explicitly listed)
Vacation; sick time; holiday pay; work/personal/family time; parental leave; bereavement; caregiver leave; volunteer leave; military spouse time-off.
Application Instructions
- For Europe-based locations, apply to requisition R-069190.
Position Summary
- Use machine learning and data engineering to create AI-ready datasets, build predictive models, and deliver analytics that improve safety evaluations and support translational research within PSTS.
Key Responsibilities
- Develop/deploy ML/AI for safety signal detection, dose selection, PK/PD modeling, toxicology insights, and translational interpretation.
- Build representation-learning, predictive, and multivariate models across in vivo, in vitro, exposure-response, and pathology data.
- Create scalable pipelines integrating PSTS-relevant data sources; transform raw outputs into standardized AI-ready datasets (Python/R/cloud).
- Partner with toxicology/DMPK/safety SMEs; apply mechanism-based toxicology and exposure-response concepts; improve cross-study comparability using standardized terminologies, metadata, and quality checks; follow model governance/versioning/validation standards.
Qualifications
Required:
- MS or PhD in Data Science/Computational Biology/Toxicology/Pharmacology/Biomedical Engineering/Computer Science (or related).
- 3+ years applying ML/data engineering to scientific/biomedical datasets.
- Proficiency: Python and/or R, SQL, and modern data engineering (cloud, workflow orchestration, version control).
- Experience with ML model development/evaluation/deployment; biological/toxicology/PK-PD/in vivo dataset experience.
Preferred
- Safety sciences; ADME/DMPK; toxicogenomics/biomarker analytics; scientific data formats; ontologies/semantic tech/knowledge graphs; AWS S3/Snowflake/Redshift; SEND/CDISC.
Skills (listed)
Advanced analytics; data analysis/visualization; data quality & privacy; critical thinking; strategic/technical credibility; workflow/process improvement.
Benefits (explicitly listed)
Vacation; sick time; holiday pay; work/personal/family time; parental leave; bereavement; caregiver leave; volunteer leave; military spouse time-off.
Application Instructions
- For Europe-based locations, apply to requisition R-069190.