Lead advanced chemistry and computational chemistry research for AI training and evaluation projects, providing expert insights, evaluating scientific reasoning, and contributing to model development.
Locations (11)
United States
Canada
Australia
New Zealand
United Kingdom
Biology & Bioinformatics Research Specialist (MSc/PhD)
The Sr. ERM Analyst is responsible for administration and continuous improvement of how ERM collects, analyzes, and reports risk information. The analyst also serves as the business administrator for Governance, Risk and Compliance (GRC) platform and provides second-line oversight and effective challenge of third-party risk management.
Building reliable dashboards, prepares insights for senior management and risk committees, and improves the workflows behind recurring reports to reduce manual effort and strengthen data quality.
Use data querying and analysis tools to reconcile risk data, investigate threshold breaches, and identify emerging trends.
Streamline data collection, validation, and report refreshes using approved automation tools and where useful, approved AI tools.
Support ERM activities such as risk appetite monitoring, operational risk assessments, and operational resilience reporting.
Serve as day-to-date administrator of GRC platform including access management.
Requirements
Advanced degree in a relevant field (e.g., Data Science, Statistics, Actuarial, Math, Economics)
Design, build, deploy, and support enterprise-scale AI agents and intelligent automation solutions that solve complex business challenges.
Compensation
$99,100 - $132,100
Responsibilities
Design, build, and deploy enterprise-scale AI agents and intelligent automation solutions that address complex business challenges.
Develop agentic workflows that reason across enterprise data, orchestrate multi-step processes, and take governed actions.
Integrate agents with enterprise applications, APIs, and data platforms (for example, SAP, ServiceNow, and Microsoft 365) using secure, reusable patterns.
Build reusable skills, tools, and connectors (including MCP-based integrations) and contribute them to a centralized agent catalog.
Partner with product, architecture, security, data, operations, and business teams to translate business needs into production-ready AI capabilities.
Requirements
Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience.
You will develop networking features for Poly Video products built on Linux and Android, from implementation through unit testing, working with senior engineers on design.
Compensation
The salary range for this role is $86,350 to $114,000 CAD annually
Responsibilities
Implements networking features on Linux and Android platforms, including DHCP, NTP, DNS, web proxy support, IPv4/IPv6, and VLANs.
Contributes to networking designs and develops solutions that operate reliably in secured environments, such as proxied, firewalled, and segmented networks.
Writes and maintains unit tests for networking code using frameworks such as Google Test and JUnit, and integrates them into CI pipelines.
Participates in code reviews, both giving and receiving feedback to improve product quality.
Debugs network and protocol issues using packet captures, logs, and source code, escalating complex issues to senior engineers when needed.
Requirements
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related discipline.
Nice to have: Experience implementing or integrating DHCP clients, NTP/SNTP, or DNS resolution
Nice to have: EAP methods (PEAP, TLS, TTLS), WPA2/WPA3-Enterprise, and NTLM authentication
Nice to have: PKI, certificate validation, and trust store management
Nice to have: Proxy auto-discovery (WPAD) and proxy authentication
Thailand
Show all 11 locations
Indonesia
Malaysia
Singapore
Vietnam
Philippines
Responsibilities
Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains.
Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods.
Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility.
Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations.
Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity.
Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
Assess and optimize computational pipeline parameters, software configurations, and statistical methods.
Analyze biological datasets, including Next-Generation Sequencing (NGS) data, RNA sequencing and single-cell datasets, genomic variants and variant calling results, protein structures and proteomics data, molecular and cellular biology datasets.
Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility.
Requirements
Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline
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