Staff Scientist, Bioinformatics/RWD

This is a fully remote position, open to applicants in California.

📋 Description

• Direct the analysis of extensive cancer and germline multi-omics datasets utilizing both conventional bioinformatics and AI-based methodologies.

• Spearhead the extraction, curation, and examination of Electronic Health Records (EHR), claims, and patient registry information.

• Design and implement real-world evidence studies that align with clinical, commercial, and regulatory goals.

• Merge omics, clinical, demographic, and various multimodal datasets while maintaining data integrity and confidentiality.

• Create, train, and deploy AI and machine learning models for trend forecasting, patient outcomes, and biomarker identification.

• Employ Natural Language Processing (NLP) and Large Language Models (LLMs) to derive structured insights from clinical notes, pathology reports, and other forms of unstructured data.

• Supervise real-world data (RWD) and genomics projects from initiation to completion, ensuring timely, budget-compliant, and high-quality outcomes.

• Collaborate with teams across R&D, Data Science, Business Development, Medical Affairs, Product Management, Engineering, clinicians, scientists, biostatisticians, and regulatory stakeholders.

• Present intricate real-world evidence analyses to both technical and non-technical audiences, along with preparing reports and publications.

• Keep abreast of advancements in genomics and bioinformatics while developing new analytical methods and technologies.

• Engage with stakeholders to establish objectives, report on progress, discuss findings, and serve as a liaison between technical and non-technical teams.

⛳️ Requirements

• Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related discipline as specified under desired qualifications.

• Minimum of 10 years of pertinent experience.

• Established expertise in bioinformatics and genomic data analysis.

• Demonstrated knowledge in cancer genomics, genomic variations, molecular pathways, and cancer biology.

• Advanced understanding of mapping, variant calling, copy number variation (CNV) analysis, and statistical methodologies.

• Experience in managing, querying, and analyzing large-scale genomic and healthcare datasets using SQL, Python, or R, alongside data visualization tools.

• Proficient in predictive analytics, advanced machine learning, deep learning, and statistical modeling.

• Practical experience with AI frameworks such as PyTorch, TensorFlow, and Keras.

• Familiarity with EHR, claims data, patient registries, and health surveys.

• Knowledge of common data models like OMOP.

• Experience utilizing NLP and LLMs to analyze unstructured clinical data.

• Ability to interpret clinical endpoints, comprehend patient cohorts, and work with clinical stakeholders.

• Exceptional project management abilities and a history of successfully leading projects.

• Experience managing one or more direct or indirect reports.

• Outstanding communication and documentation skills for diverse audiences, including technical, clinical, and non-technical.

• Proven experience working alongside clinicians, scientists, biostatisticians, regulatory teams, and other stakeholders.

🏝️ Benefits

• Annual performance incentive bonus.

• Long-term equity awards.

• Comprehensive health benefits including medical, dental, and vision coverage.

• 401(k) plan with company matching.

• Generous paid time off and company holidays.

• Additional wellness and work-life benefits.

• Extensive medical, dental, vision, life, and disability plans for eligible employees and their dependents.

• Complimentary testing for Natera employees and their immediate families.

• Fertility care benefits.

• Pregnancy and baby bonding leave.

• Commuter benefits.

• Employee referral program.