Analyze assay/software data and build new algorithms & software modules for Exact Sciences' platforms. Partner with Product Development on study design, requirements, and analysis.
Compensation
$50/hr max
Responsibilities
Run bioinformatics analyses; document requirements & findings
Build/integrate software modules into pipelines
Manage data in HPC/cloud environments
Automate analyses; support publications/conferences
Identify data trends; collaborate cross-functionally
Requirements
Bachelor's in CS/SE/related field
Nice to have: PhD/Masters, 6+ yrs experience
Nice to have: FDA-regulated/medical device experience
Nice to have: ML, computer vision, or image analysis in biomedical settings
Nice to have: GMP/ISO biotech manufacturing exposure
Analyze assay/software data and build new algorithms & software modules for Exact Sciences' platforms. Partner with Product Development on study design, requirements, and analysis.
Compensation
$45/hr
Responsibilities
Run bioinformatics analyses; document requirements & findings
Build/integrate software modules into pipelines
Manage data in HPC/cloud environments
Automate analyses; support publications/conferences
Identify data trends; collaborate cross-functionally
Automate design validation tests for robot platform hardware and systems, develop reusable libraries, tools, and scripts for functional and characterization testing.
Compensation
Pay rate: $80-$90 USD per hour
Responsibilities
Implement design characterization tests for robot vehicle hardware and systems.
Develop reusable libraries for interfacing with lab equipment and displaying live test data.
Collaborate with test leads to design test stations and plans based on technical specifications.
Develop reusable tools for semi-automated tests and station configuration.
Collaborate with design engineers and project managers to plan and support test campaigns.
Requirements
BS in Electrical Engineering, Computer Science, or a related field
Nice to have: Object-oriented software design patterns
Design and build software for real products and devices, including embedded systems, cloud integration, IoT, advanced image processing, VR, and safety critical software for medical devices, defence, and transport.
Compensation
Salary potential: £31,000
Responsibilities
Design and develop embedded software and firmware for cutting‑edge products
Implement edge‑processing software for IoT devices with cloud integration
Collaborate with cross‑functional teams to deliver end‑to‑end product releases
Support early‑stage concept development and small‑volume production line scale‑up
Forward Deployed AI Engineer (Fixed Income) embedded in the business
Compensation
Pay: up to $89.43/hr (W-2)
Responsibilities
Embed with banks Fixed Income teams in New York to understand business workflows
Partner with traders, sales, research, operations, risk, compliance, and technology stakeholders to translate business requirements into AI-enabled solutions
Design, prototype, and build generative AI applications using Python, OpenAI or Claude Agent SDK and other agentic frameworks
Develop AI solutions that support Fixed Income use cases such as knowledge retrieval, workflow automation, document analysis, trade support, client intelligence, operational exception handling, and management reporting
Build retrieval pipelines across structured and unstructured data
Requirements
Bachelor's degree in computer science, Engineering, Mathematics, Finance, or a related field, or equivalent practical experience
The starting salary range posted for this position is $149,100.00 to $218,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Requirements
Bachelor's in Computer Science
Nice to have: Deploying or supporting Generative AI, LLM, or Machine Learning applications in production
Nice to have: Experience with Kubernetes, cloud infrastructure, observability, or MLOps
Nice to have: Experience building customer-facing technical solutions or integrations
Nice to have: Experience creating reusable developer tools, frameworks, or open-source contributions
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