Staff Scientist, Bioinformatics/RWD

The role

This person will lead and conduct real-world evidence analyses and predictive analytics across oncology, organ health, and women’s health datasets. They will use AI and machine learning to extract clinical insights from multimodal genomics, clinical, and demographic data.

What you will do

• Lead analysis of large-scale cancer and germline multi-omics datasets.
• Extract, curate, and analyze large-scale RWD sources like EHR, claims data, and patient registries.
• Design and execute RWE studies to support clinical, commercial, and regulatory objectives.
• Integrate omics data with clinical and demographic data.
• Develop, train, and deploy AI and machine learning models to forecast trends and patient outcomes.
• Utilize NLP and LLMs to extract insights from unstructured clinical notes and pathology reports.
• Oversee and manage RWD and genomics projects from inception to completion.
• Collaborate with R&D, Data Science, Business Development, Medical Affairs, Product Management, and Engineering.
• Present complex RWE data and analyses to various audiences.
• Propose and develop new methods and technologies for advanced data analysis.

Required qualifications

• Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field
• At least 10 years of relevant experience
• Expertise in bioinformatics and genomics data analysis
• Expertise in cancer genomics, including genomic alterations, molecular pathways, and cancer biology
• Expert knowledge of bioinformatics tools including mapping, variant calling, CNV analysis and statistical methods
• Experience managing, querying, and analyzing massive-scale genomic and healthcare datasets using SQL, Python, or R, and data visualization tools
• Proficiency in predictive analytics, advanced machine learning, deep learning, and statistical modeling
• Hands-on experience with AI frameworks such as PyTorch, TensorFlow, Keras, etc.
• Understanding of real-world clinical data, such as electronic health records, claims data, patient registries, health surveys
• Ability to interpret clinical endpoints and understand patient cohorts
• Excellent project management skills
• Experience managing one or more direct/indirect reports

Nice to have

• Additional expertise in germline genetics, particularly in relation to organ health and prenatal health
• Familiarity with common data models (e.g., OMOP)
• Experience utilizing NLP/LLM to parse unstructured clinical data
• Knowledge of translational medicine and/or early discovery in the biotech or pharmaceutical industry

Benefits

• Annual performance incentive bonus
• Long-term equity awards
• Comprehensive health benefits (medical, dental, vision)
• 401(k) with company match
• Generous paid time off and company holidays
• Free testing for employees and immediate families
• Fertility care benefits
• Pregnancy and baby bonding leave
• Commuter benefits
• Wellness and work-life benefits
• Employee referral program

About the company

Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. The team consists of statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and other professionals.