The opportunity
Natera is seeking an innovative and driven bioinformatics scientist to lead and conduct cutting-edge real-world evidence (RWE) analyses and predictive analytics across oncology, organ health, and women’s health datasets. This unique role blends expertise in bioinformatics,…
What you'll do
Bioinformatics & Genomic Analysis: Lead the analysis of large-scale cancer and germline multi-omics datasets to extract meaningful insights. Utilize and augment traditional bioinformatics tools with AI-driven techniques to interpret genomic data within the context of RWE studies
RWD/RWE Analysis: Lead the extraction, curation, and analysis of large-scale RWD sources, including Electronic Health Records (EHR), claims data, and patient registries. Design and execute robust RWE studies to support clinical, commercial, and regulatory objectives.
Data Integration and Management: Facilitate the integration of omics data with other types of data (clinical, demographic, etc.) to enrich the analyses. Manage large datasets and ensure data integrity and confidentiality.
AI & Predictive Analytics: Develop, train, and deploy advanced artificial intelligence and machine learning models (e.g., Deep Learning, NLP, ensemble methods) to forecast trends, patient outcomes, and biomarker discovery using RWD and genomics data. Apply state-of-the-art AI frameworks to identify hidden patterns that inform clinical decision-making and product strategy.
Unstructured Data Integration: Facilitate the integration of highly complex, multimodal datasets. Utilize NLP and LLMs to extract valuable structured insights from unstructured clinical notes, pathology reports, and other disparate RWD sources. Manage large datasets while ensuring strict data integrity and confidentiality.
Project Management: Oversee and manage RWD and genomics projects from inception to completion. Ensure that projects are completed on time, within budget, and meet high-quality standards.
What they're looking for
- Cross-Functional Collaboration: Work closely with other departments such as R&D, Data Science, Business Development, Medical Affairs, Product Management, and Engineering to integrate genomics and clinical data into broader research and development initiatives.
- Reporting and Communication: Present complex RWE data and analyses in a clear and comprehensible manner to a variety of audiences, including non-experts. Prepare detailed reports and publications.
- Innovation and Development: Stay abreast of the latest developments in genomics and bioinformatics. Propose and develop new methods and technologies for advanced data analysis.
- Stakeholder Engagement: Engage with key stakeholders to define project goals, report progress, and discuss findings. Act as a liaison between the technical team and non-technical stakeholders.