Staff Scientist, Bioinformatics/RWD

🕒 August 4

🇺🇸 United States – Remote

💵 $158k - $197.5k / year

⏰ Full Time

🔴 Lead

Where this job comes from

Posted on Natera's careers page, not through a job board

First seen by Remote Rocketship August 4

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Logo of Natera

Natera

1001 - 5000 employees

Founded 2004

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• Lead analysis of large-scale cancer and germline multi-omics datasets • Extract, curate, and analyze large-scale real-world data from EHRs, claims data, and patient registries • Design and execute real-world evidence studies supporting clinical, commercial, and regulatory objectives • Integrate omics, clinical, demographic, and other multimodal datasets while maintaining data integrity and confidentiality • Develop, train, and deploy AI and machine learning models, including deep learning, NLP, and ensemble methods • Use NLP and LLMs to extract structured insights from clinical notes, pathology reports, and other unstructured data • Oversee RWD and genomics projects from inception through completion, ensuring timely, budget-compliant, high-quality delivery • Collaborate with R&D, Data Science, Business Development, Medical Affairs, Product Management, Engineering, clinicians, and other stakeholders • Present complex RWE analyses clearly to technical and non-technical audiences • Prepare detailed reports and publications • Monitor advances in genomics and bioinformatics and develop new analytical methods and technologies • Define project goals, report progress, discuss findings, and liaison between technical and non-technical stakeholders

🎯 Requirements

• Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field • At least 10 years of relevant experience • Proven expertise in bioinformatics and cancer genomics • Expert knowledge of mapping, variant calling, CNV analysis, and statistical methods • Experience managing, querying, and analyzing massive-scale genomic and healthcare datasets using SQL, Python, or R, plus 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, and Keras • Understanding of real-world clinical data, including EHRs, claims data, patient registries, and health surveys • Familiarity with common data models such as OMOP • Experience using NLP/LLMs to parse unstructured clinical data • Ability to interpret clinical endpoints and understand patient cohorts • Excellent project management skills and a record of leading successful projects • Experience managing one or more direct or indirect reports • Exceptional communication and written documentation skills for technical, clinical, and non-technical audiences • Experience collaborating with clinicians, scientists, biostatisticians, regulatory teams, and other stakeholders • Additional germline genetics expertise related to organ health and prenatal health is a significant plus • Knowledge of translational medicine and/or early discovery in biotech or pharmaceuticals is a plus

🏖️ 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 • Additional wellness and work-life benefits • Life and disability plans for eligible employees and dependents • Free testing for employees and immediate families • Fertility care benefits • Pregnancy and baby bonding leave • Commuter benefits • Employee referral program

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