The Senior Computational Biologist will own bio data pipelines and interpretation end-to-end, taking data from QC through to target hypotheses and collaborating with ML researchers to support target discovery.
Compensation
competitive salaries, comprehensive benefits, and meaningful early-stage equity
Responsibilities
Bio data processing and QC: take over, improve and fully automate our in-house pipeline for genetic data analysis
Run power analyses and use your insights to inform which phenotypes and indications we prioritize, how we scale our database, and which data modalities we collect
Prove our data and pipelines recover known gene-phenotype associations and approved target-indication pairs, and replicate them against public resources
Conduct association and causal gene mapping in a selected indication, incl. via rare variant burden tests, colocalization tests, and Mendelian randomization
Partner with ML researchers on data preparation, multi-modal integration and shared evaluation
Requirements
PhD in statistical genetics, computational biology, bioinformatics, or similar
Implements machine learning model serving for production, automates workflows, develops infrastructure and tools, and collaborates with stakeholders to integrate models into systems.
Compensation
US: Hiring Range in USD from: $87,800 to $209,500 per annum. May be eligible for bonus and equity.
Responsibilities
Implements machine learning model serving for production
Automates machine learning workflows
Creates infrastructure and frameworks to monitor model performance
Evaluates data quality, security, and privacy issues
This role performs as a SOC analyst providing 'eyes on glass' for incoming security alerts, including alert triage, automated response, analysis, closure, and escalation for Oracle Cloud Infrastructure (OCI).
Compensation
US: Hiring Range in USD from: $80,100 to $187,000 per annum. May be eligible for bonus and equity.
Responsibilities
Respond to security events, identifying possible intrusions and responding in line with Oracle incident response playbooks.
Research, evaluate, track, and manage information security threats and vulnerabilities.
Assess information security risks associated with existing and proposed business operations, systems, applications, practices, and procedures.
Conduct and document complex information security risk assessments.
Collect, preserve, and analyze digital media under supervision.
Develop and maintain robotics software, build tools for data collection and analysis, integrate AI models into robotic applications, debug failures, and collaborate with simulation engineers.
Compensation
US: Hiring Range in USD from: $87,800 to $209,500 per annum. May be eligible for bonus and equity.
Responsibilities
Develop and maintain robotics software in Python and/or C++
Build tools to collect, synchronize, inspect, replay, and analyze robot operational data
Preserve timestamps, calibration, coordinate frames, observation and action definitions, software versions, and data provenance
Integrate AI models and robot policies into physical robot workflows
Debug failures across robot software, sensors, controllers, and model runtimes
Lead the development of reliable integrations and next-generation AI platform capabilities for Avaya Infinity™.
Compensation
The pay range for this opportunity is from $179,127 to $234,100 + benefits. This range represents the anticipated low and high end of the salary plus bonus for this position.
Responsibilities
Design and implement services connecting enterprise applications, data platforms, models, and tools through APIs and asynchronous messaging.
Automate model and application lifecycle management, including versioning, reproducibility, evaluation, promotion, controlled rollout, and rollback.
Implement authentication, permissions, isolation, and recovery across system boundaries while evolving interfaces without breaking consumers.
Work with AI engineers on release quality and operate inference and agent services, improving availability, latency, and cost.
Lead agentic delivery across services, integrations, and release automation, sharing reusable practices.
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