Senior Scientist – Translational Safety, Risk Sciences

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Spearhead the development and integration of contemporary data infrastructure, analytics frameworks, and visualization capabilities to advocate for New Approach Methodologies (NAMs) and broader translational safety initiatives throughout the organization.

• Design, create, and sustain scalable data infrastructure and visualization solutions that bolster NAMs initiatives and other TSRS workflows.

• Develop and implement databases and registries utilizing tools such as Databricks.

• Collaborate with cross-functional teams, including scientific, data engineering, IT, and AI/ML groups, to harmonize and standardize data structures across nonclinical and clinical safety areas.

• Establish metadata standards and ontology mappings for model systems, assays, samples, readouts, validation status, and context of use.

• Promote data governance, data quality, and best practices for reproducibility across TSRS platforms.

• Envision, design, and construct interactive dashboards and visualizations using platforms like Spotfire to facilitate AI-supported and data-driven decision-making.

• Translate intricate scientific and technical concepts into clear visualizations and actionable insights for a diverse range of stakeholders.

• Develop pipelines and workflows to merge NAMs data and other internal datasets with enterprise datasets, such as clinical data, through AI/ML methods.

• Employ AI/ML techniques to enhance translational safety analyses, predictive modeling, and emerging NAMs applications.

⛳️ Requirements

• Doctorate degree (PhD, PharmD, or MD) [and relevant post-doctoral experience where applicable] OR Master’s degree with 3 years of Scientific and/or Data Science experience OR Bachelor’s degree with 5 years of Scientific and/or Data Science experience.

• Proficiency in developing data infrastructure and analytics solutions within Databricks environments.

• Knowledgeable in relational databases, data engineering workflows, and cloud-based analytics platforms.

• Strong expertise in developing Spotfire dashboards and data visualization.

• Experience with SharePoint-based scientific collaboration and data environments, and integrating data across various platforms such as Benchling, SharePoint, Databricks, Spotfire, or other LIMS or ELN systems.

• Skilled in integrating diverse datasets, encompassing clinical datasets and various structured or unstructured internal and external/public datasets.

• Experience in defining data models for intricate biological entities such as NAMs and advanced model systems, including disease-relevant models, assays, and associated datasets.

• Strong understanding of FAIR data principles, metadata standards, controlled vocabularies, ontologies, and data governance.

• Familiarity with NAMs, complex in vitro models, translational in vitro/in silico platforms, toxicology, and/or translational safety methodologies.

• Understanding of target discovery, translational biology, nonclinical safety, drug discovery, and/or drug development processes.

• Excellent communication and collaboration skills with the capability to work effectively across multidisciplinary teams and proactively identify opportunities to connect people, models, datasets, tools, and decisions.

• Proven ability to manage multiple priorities in a fast-paced scientific setting.

🏝️ Benefits

• A comprehensive employee benefits package, which includes a Retirement and Savings Plan featuring generous company contributions.

• Group medical, dental, and vision coverage.

• Life and disability insurance.

• Flexible spending accounts.

• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan.

• Stock-based long-term incentives.

• Award-winning time-off plans.

• Flexible work models where feasible.