Postdoctoral Research Fellow focusing on metabolomics and lipidomics within the Department of Epidemiology at VCU School of Public Health.
Compensation
Salary Range: 70,000
Responsibilities
Lead and conduct analyses of metabolomics and lipidomics data to investigate associations between molecular profiles, menopause-related changes, and vascular health outcomes.
Apply advanced analytical approaches for high-dimensional omics data, including data preprocessing, quality control, normalization, multiple-testing correction, and statistical modeling.
Utilize multivariable and longitudinal statistical methods to examine associations between metabolomic and lipidomic signatures and changes in vascular health across the menopause transition.
Apply and evaluate approaches for identifying metabolomic and lipidomic patterns, molecular pathways, and potential biomarkers associated with vascular aging and subclinical CVD.
Integrate omics data with detailed epidemiologic, clinical, hormonal, and cardiovascular phenotyping data.
Requirements
PhD or equivalent doctoral degree in epidemiology, molecular epidemiology, biostatistics, bioinformatics, computational biology, or a closely related field.
All VCU employee types are eligible for a wide array of benefits to support you during your employment at VCU. Consult the benefits website for information on benefits eligibility according to employee type.
Bright Vision Technologies is seeking a Data Modeler to design, build, validate, and support data solutions that make trusted information available for enterprise operations, analytics, and decision-making.
Compensation
$115,000–$165,000 Annually
Responsibilities
Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role.
Translate source-to-target and business requirements into validated technical data solutions.
Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost.
Document data definitions, lineage, operational procedures, and technical decisions.
Own the vision, strategy, roadmap and requirements for the oncology data platform, aligned with N-Power's business goals.
Compensation
The expected salary range for this position is $167,777 - $215,304. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.
Responsibilities
Own the vision, strategy, roadmap and requirements for the oncology data platform, aligned with N-Power's business goals and the needs of our ProECA studies.
Manage the platform as a product: define its customers (biostatisticians, quantitative scientists, clinical operations, and pharma sponsors), set success metrics, and track adoption and value.
Collaborate with a cross-functional team of engineers, data architects, informaticists, AI engineers, quantitative scientists, clinical abstractors, and medical oncologists.
Build regulatory-grade evidence into the platform: source-to-dataset traceability across EHR and imaging, data provenance, audit trails, and fit-for-purpose data quality aligned with FDA guidance on external controls.
Catalog and be able to point to end-user documentation for each data platform release: data dictionaries, vocabularies, CDISC-aligned specifications, data quality scorecards, licensing, and de-identification certifications.
Requirements
Nice to have: oncology drug development lifecycle
Nice to have: prospective clinical research operations
Data ModelerBright Vision Technologies · Remote, US
Staff Oncology Data Product ManagerN-Power Medicine · Redwood City, US