Lead Bioinformatics, Machine Learning Scientist

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

📋 Description

• Develop, train, and assess machine learning models for the detection of cancer in minimal residual disease contexts.

• Lead algorithm design initiatives that support cancer detection efforts.

• Manage comprehensive research analyses from concept to implementation, including troubleshooting and performance assessment.

• Create new features within existing analytical pipelines.

• Facilitate communication between wet-lab experimental design and computational analysis.

• Ensure rigorous quality control across high-throughput sequencing data from various cohorts, vendors, and clinical protocols.

• Present findings and model efficacy to both technical and cross-functional stakeholders.

• Contribute to the establishment of standards for code quality and reproducibility.

⛳️ Requirements

• PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative discipline with a strong focus on cancer epi/genomics.

• 4 to 8+ years of relevant experience post-PhD.

• Profound theoretical and practical knowledge of high-throughput DNA sequence data analysis, including mapping, sequence alignment, and variant calling workflows.

• Proven experience in algorithm development and data analysis, particularly in applying and assessing statistical methods.

• Demonstrated capability in developing core machine learning models, such as generalized linear models, kernel methods, tree-based algorithms, and neural networks, with a focus on biological datasets.

• Strong quantitative reasoning abilities and data analysis skills.

• Proficiency in Python and Linux command-line utilities, including the ability to write shell scripts.

• Extensive computational and programming expertise, particularly with Python statistical libraries like NumPy, Matplotlib, and Pandas.

• Familiarity with public databases such as TCGA, COSMIC, or OncoKB.

• Capability to visualize findings and condense results for both technical and non-technical audiences.

• High scientific rigor and a strong desire to learn new computational techniques and biological concepts.

• Ability to collaborate effectively within a cross-functional team of computational and experimental scientists.

🏝️ Benefits

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

• Complimentary testing for Natera employees and their immediate family members.

• Fertility care assistance.

• Leave for pregnancy and baby bonding.

• 401(k) retirement plan benefits.

• Commuter benefits.

• Employee referral program.