(San Diego, CA)
Mirador is a next-generation precision medicine company focused on immunology and inflammation. The company's Mirador360 TM precision development engine leverages the latest advances in human genetics and cutting-edge data science to rapidly advance new precision medicines for patients living with chronic immune-mediated inflammatory and fibrotic diseases. Launched in 2024, Mirador has raised over $400 million from leading life sciences investors and is based in San Diego, CA.
Summary
As Scientific Data Curation Engineer you will drive the delivery of high-quality clinical and omic datasets to the world-class Mirador360 platform to accelerate the work of Mirador's Precision Analytics team. The Scientific Data Engineer conducts acquisition and disposition activities related to biomedical data collected from various sources, in diverse formats, and using different modalities. You will support the specification, acquisition, organization, QC, annotation, and harmonization of data using specified standards and ensure data are stored in defined locations within system. You will drive execution and adhere to timelines for both vendor-managed and hands-on data curation projects. As the company's data curation expert, you will act as a liaison and consultant on best practices, principles and processes required to leverage best in class data curation capabilities and technologies.
Responsibilities
- Clean, harmonize, curate and catalog clinical, omics, and other data and metadata according to various data practices and standards
- Align data to ontologies/vocabularies
- Collaborate with cross-functional team members to define and implement new data standards, data models, terminologies, and ontologies and to provide input on automated omics processing pipelines
- Collaborate with cross-functional team members to plan which data will be loaded for what purpose and define the required quality control steps
- Engage data providers to manage acquisition of electronic datasets
- Understand the context underlying each data type targeted for acquisition to ensure that the data quality is fit for purpose
- Support the development and documentation of metadata standards for sharing datasets under the Findability Accessibility Interoperability and Reusability (FAIR) guiding principles
- Streamline data curation processes and implement new methods and pipelines
- Assess transferred data for quality and conformance and resolve any queries/issues with data provider
- Work with team members in the development and implementation of data standards and processes to ensure data quality
- Communicate strategies, ideas, goals, and progress to the team
- Collaborate closely with Precision Analytics team
Experience and Qualifications
- Master's degree with at least 3 years experience OR a Bachelor's degree with at least 5 years experience in the data science field in biotech, diagnostics or pharma industry experience
- Experience organizing, analyzing and visualizing common biomedical data types derived from disease model systems and patients
- Experience with genetics, gene expression and other omic data is preferred
- Experience in a scripting language (e.g. bash, R or python)
- Experience working with external vendors and internal stakeholders to refine deliverables and timelines along organizational priorities
- Knowledge of CDISC data standards, ICH-GCP, Awareness of Patient-level Data Access principles, and experience in regulated environments
- Knowledge of basic biological principles and the pharmaceutical development process (including clinical trials, patient level datasets and study documentation)
- Deep understanding of clinical and omics data, data curation methodologies, and a commitment to maintaining data accuracy and integrity
- Systematic, structured, and pragmatic approach to tasks, with good attention to detail
- Ability to effectively manage multiple requests and priorities
Essential Skills and Abilities
- Clear and proactive communication skills and the ability to communicate appropriately with corporate executives, technical and non-technical teams
- Strong influencing and reasoning skills; good at conflict resolution and consensus building
- Self-motivated and collaborative with excellent planning, independent problem-solving and organizational skills
- Ability to engage constructively with peers and technical leads to communicate the technical approach, trade-offs, and technical decisions
- Entrepreneurial, thrives in a fast-paced, smaller-company environment
The expected base pay range for this position is $100,000 -$175,000 plus bonus, equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. This range may be modified in the future.
All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected class.
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