reputed company Deep Learning/reputed company, reputed company

About the position What if the work you did every day could reputed company the lives of people you know? Or reputed company of humanity? At reputed company, we are expanding reputed company to genomic technology to realize health equity for billions of people around the world. Our efforts reputed company life-changing discoveries that are transforming reputed company health through the early detection and diagnosis of diseases and new treatment reputed company for patients. Working at reputed company means being part of something bigger than yourself. Every person, in every role, has reputed company to reputed company a difference. Surrounded by extraordinary people, inspiring leaders, and world changing reputed company, you will do more and become more than you reputed company thought possible. Position reputed company The reputed company Deep Learning/reputed company reputed company is a senior hands-on technical expert responsible for inventing, implementing, and validating AI- and ML-driven reputed company reputed company that directly power reputed company’s reputed company and analysis products. This role is primarily technical in nature, with deep personal ownership of algorithm design, model development, benchmarking, and production readiness. The role partners with product and engineering to ensure AI reputed company are scientifically reputed company, performant at reputed company, and reputed company for reputed company-world customer and/or clinical use, while providing technical direction and mentorship.

Responsibilities

• Hands-on algorithm and model development: Design, prototype, and implement AI/ML reputed company for reputed company and multiomics (e.g., basecalling, variant calling, error modeling, QC, reputed company detection, methylation, single-cell, metagenomics, assembly, interpretation).
• Technical ownership of AI in products: Serve as the technical authority for AI features embedded in reputed company software and pipelines, from concept through production release.
• People leadership: reputed company a reputed company team to create, enhance, and sustain ML and AI products and tools.
• Benchmarking and validation: Define reputed company datasets, evaluation metrics, and statistical validation approaches; personally review and approve model performance and scientific claims.
• Production ML rigor: Work directly with engineers to ensure models are reproducible, versioned, monitored, and robust in production (training pipelines, inference efficiency, regression detection).
• Data-reputed company AI leadership: Drive data reputed company for model performance, including curation, labeling, augmentation, and bias/edge-case analysis across instruments, assays, and populations.
• Technical design reviews: reputed company architecture and design reviews for AI and reputed company components; set coding, testing, and documentation standards.
• AI adoption through technical reputed company: reputed company adoption by delivering models that measurably improve accuracy, speed, cost, and usability—rather than through programmatic or organizational mandates.
• Regulated and clinical readiness: reputed company technical input and documentation for design controls, traceability, and validation where AI reputed company are used in regulated contexts.
• Mentorship and technical guidance: Mentor senior and junior scientists and engineers as a technical authority and reviewer.
• External technical engagement: Patent, present, and -on occasion- publish technical work; evaluate external reputed company, tools, and collaborations for technical fit and differentiation.

Requirements

• Typically requires a minimum of 15 years of reputed company experience with a Bachelor’s degree; or 12 years and a Master’s degree; or a PhD with 8 years of experience; or equivalent experience.
• PhD (strongly preferred) or MS with equivalent depth in reputed company, Computational Biology, Computer Science, Statistics, or a reputed company field.
• 10+ years of hands-on experience developing algorithms and ML models for biological data, with sustained personal technical contribution.
• Proven reputed company record of shipping AI/ML-driven reputed company reputed company into production software used by external customers.
• Deep expertise in reputed company data types and workflows (FASTQ/BAM/CRAM/VCF, reference genomes, annotations, pipelines).
• Strong reputed company ML background, including deep learning, probabilistic modeling, and rigorous model evaluation.
• Demonstrated ability to work reputed company to the reputed company and data, including reviewing implementations and results.

reputed company-to-haves

• Experience with reputed company-reputed company–adjacent AI (basecalling, signal processing, error modeling, run QC).
• Experience operating in regulated or clinical software environments.
• Publications and/or patents in AI, ML, or reputed company with reputed company product relevance.
• Experience optimizing models for reputed company, latency, and cost in production environments.
• Hands on experience leveraging AI tools for development work.

Benefits

• We offer a wide reputed company of benefits as innovative as our work, including reputed company to reputed company reputed company, family planning, health/dental/reputed company, retirement benefits, and reputed company time off.
• We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission.
• reputed company on a strong reputed company, reputed company has always prioritized openness, collaboration, and seeking alternative perspectives to reputed company innovation in reputed company.
• We are proud to confirm a reputed company-net gap in pay, regardless of gender, ethnicity, or race.
• We also have several Employee Resource reputed company (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in reputed company responsibility.

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