Exel
Senior AI Data Scientist I
Alameda, CA · Senior
Sponsorship not specified$144k-$203kDetected 15 days ago
PythonGitSQLDatabricksAWSCloud PlatformsCI/CDMachine Learningscikit-learnPandasNumPyData EngineeringData ScienceData VisualizationNLPLLMsStatisticsJiraBioinformaticsCollaborationPublic SpeakingGxPBiostatistics
About the role
- Leveraging statistical programming (R, Python, SQL) and machine-learning techniques, this role executes automated workflows, data quality assurance, and regulatory-compliant outputs within a GxP-governed clinical data pipeline.
- The base pay range for this position is $143,500 - $203,000 annually.
- The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
Responsibilities
- Develop and maintain LLM-based and generative AI-workflows for automated TLF review and ad-hoc analytical queries, applying human-in-the-loop validation to ensure output reliability.
- Support the development and maintenance of data pipelines on Databricks and AWS cloud infrastructure, applying version control (Git/GitHub) and CI/CD best practices.
- Collaborate with Statistical Programming, Clinical Data Management, and Clinical Operations to deliver AI/ML project milestones and address study-level data needs.
- Prepare and maintain documentation of model development, data transformation, and validation activities consistent with SOPs and work instructions.
- Drive external scientific visibility and publication objectives by contributing to manuscripts, conference presentations and white papers that showcase clinical AI/data science innovations.
- Performs other duties as assigned
Requirements
- A minimum of one (1) year of experience applying AI/ML methods to structured or unstructured data.
- A minimum of three (3) years of experience applying AI/ML methods to structured or unstructured data.
- A minimum of seven (7) years of relevant professional experience, including demonstrated application of AI/ML methods to structured or unstructured data.
- It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
- Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 7 years of experience
- Master's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 5 years of experience
- With Master's degree: A minimum of one (1) year of experience applying AI/ML methods to structured or unstructured data.
- With Bachelor's degree: A minimum of three (3) years of experience applying AI/ML methods to structured or unstructured data.
- Without degree: A minimum of seven (7) years of relevant professional experience, including demonstrated application of AI/ML methods to structured or unstructured data.
- Intermediate proficiency in Python (Pandas, NumPy, scikit-learn) for data manipulation and model prototyping.
Skills
- Equivalent combination of education and experience.
- Knowledge, Skills and Abilities
Compensation
- The base pay range for this position is $143,500 - $203,000 annually.
- The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
Benefits
- Intermediate understanding of supervised and unsupervised learning fundamentals, including model evaluation.
- Build, train and validate machine-learning models (supervised and unsupervised) on clinical datasets under the direction of senior data scientists, ensuring model performance meets predefined acceptance criteria.
- Create interactive dashboards and visualizations that support clinical data review, study-health monitoring, and decision-making across cross-functional stakeholders.
This listing is sourced directly from Exel's careers page and normalized into a canonical job model.