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Company

Mirador Therapeutics · 3 hours ago

Scientific Data Curation Engineer

San Diego, CA

Full-time

Remote

Mid Level

$100K/yr - $175K/yr

3+ years exp

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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

Qualification

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Data ScienceBiomedical Data AnalysisData CurationScripting LanguagesCDISC StandardsClinical Trials KnowledgeCollaboration Skills

Required

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 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

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