Apply expertise to train next-generation AI systems by designing, evaluating, and critiquing biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
Responsibilities
Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
Requirements
PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field
Senior Specialist – Bioinformatics to define and execute global service and lifecycle strategies for NGS pipeline products within Global Customer Support.
Compensation
The expected salary range for this position based on the primary location of California is $90,800-$168,600.
Responsibilities
Define and execute global service and lifecycle strategies for NGS pipeline products
Represent customer support requirements throughout the development lifecycle
Lead and partner with cross-functional teams across multiple business units
Drive strategic stakeholder management
Direct comprehensive service concept strategy and technical requirements for new product development or updates
Requirements
Bachelor’s degree in Bioinformatics, Computational Biology, Biostatistics, or an equivalent technical field
Responsible for designing, developing, and maintaining scalable and efficient software solutions for bioinformatic pipelines, collaborating with cross-functional teams to deliver data-driven software solutions.
Responsibilities
Design, develop, and maintain robust software solutions using various tools, databases, and technologies to meet business requirements.
Create and optimize data models, ensuring the accuracy, integrity, and performance of the underlying computational algorithms (assembly, mapping, variant calling and variant annotation).
Develop and optimize ETL (Extract, Transform, Load) processes to efficiently extract data from various sources, transform it, and load it into the BI system, with an emphasis on utilizing APIs.
Analyze and optimize SQL queries and database performance to enhance data retrieval and reporting speed.
Contribute to schema design and review sessions to ensure high performance and maintainable databases.
Seeking a Principal Platform Software Engineer with deep experience in robotics software, process automation, and physical system integration to translate emerging requirements and prototypes into reliable platforms.
Responsibilities
Design, develop, test, and maintain software components for cloud platform services.
Implement backend services, APIs, data-ingestion and processing components, workflow integrations, automation, and operational tooling.
Work with other engineers and product managers to understand requirements and translate customer scenarios into well-defined software features.
Contribute to rapid iteration by investigating customer feedback, troubleshooting issues, and improving product functionality.
Write clean, maintainable, secure, and well-tested code using established OCI engineering practices.
Requirements
Bachelor’s degree in computer science, engineering, or a related field
Design and operate the biotech AI platform with a focus on secure, governed data systems and production infrastructure for scientific and machine learning teams.
Compensation
Base salary: $180,000 to $240,000 annually.
Responsibilities
Build and maintain cloud data platform components, including object storage, lakehouse architecture, catalogs, lineage, dataset versioning, and query and access layers.
Design and operate data warehouses and governed systems for clinical records, molecular features, metadata, retention, and dataset releases.
Develop reproducible bioinformatics workflows for omics data, using containerized pipelines and cloud batch compute.
Implement data quality checks, biological validation, and visualizations that help teams identify issues across processing steps.
Deliver versioned, training-ready datasets and data deployment interfaces for model use in partner environments.
IT Specialist to manage research computing infrastructure, support data processing, and coordinate lab-wide IT practices for translational oncology research.
Compensation
salary of the IT Specialist will range from 3400 € to 3900 €/month
Responsibilities
Manage research computing infrastructure
Support data processing and management
Ensure efficient IT operations across the research group
Maintain and update the research group’s website
Provide technical support for researchers
Requirements
Master's degree in a relevant field such as bioinformatics, computer science, software engineering, or a related discipline
Nice to have: Academic research environment experience
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