5 дней назад
Senior Scientist - Translational Safety & Risk Sciences (TSRS)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Scientist - Translational Safety & Risk Sciences (TSRS) (Data Infrastructure/AI/ML): Building scalable data infrastructure, analytics platforms, databases, and visualizations for New Approach Methodologies and translational safety initiatives with an accent on data governance, scientific data integration, and Spotfire dashboards. Focus on integrating heterogeneous datasets, defining metadata and ontology standards, and applying AI/ML to predictive translational safety analyses.
Location: Washington D.C., District of Columbia, United States
Company
is a biotechnology company researching, manufacturing, and delivering medicines for serious diseases across oncology, inflammation, general medicine, and rare disease.
What you will do
- Design and maintain scalable data infrastructure, databases, registries, and visualization solutions for New Approach Methodologies and Translational Safety & Risk Sciences workflows.
- Build interactive dashboards and visualizations using Spotfire and develop analytics solutions in Databricks.
- Integrate NAMs, clinical, and other structured and unstructured datasets with enterprise data through pipelines and AI/ML workflows.
- Define metadata standards, ontology mappings, data models, and controlled vocabularies for complex biological entities, assays, samples, and readouts.
- Support data governance, data quality, reproducibility, predictive modeling, and translational safety analyses.
- Collaborate with scientific, data engineering, IT, and AI/ML teams to translate complex scientific and technical information into actionable insights.
Requirements
- Doctorate degree in a relevant field, or a master's degree with 3 years of scientific or data science experience, or a bachelor's degree with 5 years of scientific or data science experience.
- Experience developing data infrastructure and analytics solutions in Databricks environments.
- Knowledge of relational databases, data engineering workflows, cloud analytics platforms, and Spotfire dashboard development.
- Experience integrating platforms such as Benchling, SharePoint, Databricks, Spotfire, LIMS, or ELN systems.
- Understanding of FAIR data principles, metadata standards, ontologies, data governance, NAMs, toxicology, translational safety, and drug development.
- Strong communication, collaboration, prioritization, and multidisciplinary stakeholder-management skills.
Culture & Benefits
- Employee benefits include medical, dental, vision, life, and disability insurance, flexible spending accounts, and a retirement and savings plan with company contributions.
- Annual discretionary bonus program and stock-based long-term incentives.
- Award-winning time-off plans and flexible work models where applicable.
- Collaborative, inclusive, science-based environment focused on serving patients and advancing biotechnology.
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