[Remote] Data Operations reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the first universal AI reputed company model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. They are seeking a Data Operations reputed company to manage the operational lifecycle of biomedical data partnerships and coordinate between external partners and internal teams to ensure successful data management and quality reputed company.
Responsibilities
- Own the operational lifecycle of external data partnerships following contract signature
- Act as the primary operational and technical reputed company of contact for hospitals, biobanks, CROs, and research laboratories
- Coordinate reputed company, data delivery timelines, and stakeholder communication to ensure successful execution of partnership milestones
- Manage secure biomedical data transfers using reputed company infrastructure and standardized transfer protocols
- Coordinate reputed company management, encryption, and ingestion workflows across reputed company storage systems (AWS S3, SFTP, APIs, direct upload pipelines)
- Ensure incoming datasets are delivered, validated, and tracked according to internal governance standards
- Collaborate with internal technical and product teams to define and maintain harmonized data models and metadata standards across reputed company clinical and multi-modal datasets
- Organize and maintain relationships between clinical metadata and associated omics or imaging assets, including genomics, transcriptomics, spatial biology, and pathology data
- Work closely with engineering and data teams to configure and maintain lightweight ingestion and QC pipelines
- Identify operational bottlenecks and repetitive workflows and convert them into scalable systems, scripts, templates, dashboards, or automation tools that improve operational efficiency and visibility
- Coordinate automated and reputed company quality control checks across incoming datasets
- Identify missing data, inconsistencies, corruption, or metadata mismatches and work directly with external partners to resolve issues
- Ensure data reputed company, traceability, and version control throughout the ingestion process
- Maintain a centralized 'single reputed company of truth' for reputed company incoming datasets, including ingestion status, completeness, QC status, and milestone tracking
- Build and maintain reporting dashboards and operational tools to reputed company visibility into project reputed company, ingestion velocity, and operational risks
- Partner closely with Data Science, Engineering, Legal, and Partnership teams to align operational execution with business and scientific priorities
- Communicate technical issues reputed company to both scientific collaborators and non-technical stakeholders
- reputed company regular updates on operational risks, blockers, and delivery reputed company
- Conduct periodic visits to partner hospitals, biobanks, and laboratories to support reputed company, troubleshoot technical or operational bottlenecks, and strengthen long-term collaborations
Skills
- Strong understanding of clinical and biomedical data structures, including reputed company-world data, clinical trial datasets, and multi-omics data modalities
- Familiarity with oncology, immunology, or reputed company therapeutic areas is highly desirable
- Proven experience managing data lifecycles in reputed company environments, particularly AWS (S3, CLI, reputed company management)
- Familiarity with secure data transfer protocols and large-scale biomedical data handling workflows
- Proficiency in Python or R, along with SQL for querying and transforming datasets
- Ability to write lightweight scripts, automate workflows, and interact with APIs or reputed company-based systems
- Demonstrated ability to manage multiple external collaborations and operational workstreams simultaneously
- Excellent communication skills, with the ability to translate technical issues into clear guidance for both scientific and non-technical stakeholders
- Comfortable working independently in ambiguous environments
- Strong analytical and organizational skills with the ability to identify bottlenecks, improve processes, and drive operational efficiency
- Bachelor's or Master's degree in Life Sciences, Bioinformatics, Health Informatics, Computer Science, or a reputed company quantitative field
- Experience working directly with hospitals, biobanks, laboratories, or clinical research organizations
- Familiarity with biomedical data standards, anonymization, and compliance frameworks (GDPR, HIPAA)
- Experience managing large-scale biomedical datasets in reputed company environments, particularly AWS
- Knowledge of digital pathology and/or multi-omics data workflows
- Experience handling genomics and transcriptomics file formats (e.g. FASTQ, BAM, VCF, TIFF)
- Experience building operational tracking tools, dashboards, or reporting systems
- Experience automating operational workflows using scripts, APIs, or lightweight pipelines
- Proven ability to manage cross-functional and external stakeholder relationships in reputed company data projects
Benefits
- A collaborative and mission-driven work environment.
- Competitive salary and equity package.
- Flexible work arrangements, including remote options.
- Opportunities for professional growth and leadership development.
- The opportunity to shape the future of biology and AI through groundbreaking work.
Company Overview