Lead preclinical imaging studies for radiopharmaceuticals in rodent models, integrating nuclear imaging with pharmacology to support discovery decisions.
Compensation
Annual base salary for this position ranges from 108,713.60 to 142,686.60.
Responsibilities
Design, conduct, and analyze imaging-based biodistribution and mechanistic studies of radiopharmaceuticals in rodent models
Perform reconstruction and quantification of multimodal imaging data
Drive development of imaging-based methods for dosimetry and PK/PD relationships
Integrate imaging results with ex vivo tissue biodistribution and efficacy studies
Build partnerships with cross-functional experts
Requirements
MSc or Ph.D. in Biochemistry, Biology, Immunology, Biomedical Engineering, Medical physics, Molecular/Cell Biology or related field
Lead full‑stack development of the Capital One Travel portal, owning technical design, architecture, and mentorship of junior staff.
Compensation
The expected annual salary range for this position is $173,000 - $197,400. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es).
Responsibilities
Work as part of a dynamic team throughout the Software Development Life Cycle
Act as a tech lead developer owning technical design and development of cross‑functional, multi‑platform, fault tolerant application systems
Utilize programming languages like JavaScript, React, HTML/CSS, Angular/TypeScript, Python, Java and/or Go, Open Source RDBMS and NoSQL databases, and a variety of AWS tools and services
Lead research and development of Physical AI system modeling, foundation models, and hardware integration for humanoid and industrial robotics.
Responsibilities
Define long‑term Physical AI research direction and system architecture
Identify emerging methods and lead foundation model training and fine‑tuning
Architect, develop, and maintain virtual system world models
Own technical architecture of Physical AI data curation pipelines
Lead imitation‑learning, reinforcement‑learning, domain‑randomization, sim‑to‑real, and real‑to‑sim workflows
Requirements
Ph.D. in Robotics, Engineering Science, Computer Science, Electrical Engineering, Computer Engineering, Mechanical Engineering or a closely related field
Nice to have: neuromorphic computing
Nice to have: in‑memory computing
Nice to have: foundation model development for hardware generation
Review processes and procedures followed by the Individual Insurance Actuarial Inforce and Policy Tax team
Recommend changes to processes and procedures as appropriate
Proactively recommend and, if approved, design and implement innovative solutions to enhance accuracy, streamline workflows, and drive operational efficiency
Identify gaps, omissions or activities that could expose the organisation to operational risk
Requirements
University degree, preferably in Engineering, Physics, Mathematics, or Finance
Nice to have: Knowledge of individual insurance products
Nice to have: Knowledge of Automation Suite Tools (e.g. Pyautogui, Selenium)
As a Data Science Intern at Enveda, you will join our Data Science team and work on machine learning for mass spectrometry, computational biology, and computational chemistry.
Locations (2)
United States
Canada
Compensation
Compensation per month: US - Masters ($5000 USD), PhD ($6000 USD) & Canada - Masters or PhD ($8500 CAD)
Responsibilities
Learn how to develop data-driven solutions tailored to the drug discovery industry as part of our Data Science team
Collaborate on machine learning for mass spectrometry
Collaborate on computational biology and computational chemistry
Manage and support enterprise database platforms including Oracle, SQL Server, and AWS RDS to ensure high availability and performance, develop automation solutions and collaborate with cross-functional teams to support database deployments and operational stability.
Responsibilities
Provide day-to-day administration and support for Oracle, Client SQL Server, and AWS RDS database environments
Monitor database health, performance, and availability
Investigate and resolve database incidents, problems, and operational issues
Perform root cause analysis and implement corrective actions
Provide end‑to‑end technical leadership for Managed Infrastructure Services, including IPVPN, MIS Network, and MIS Wireless, and support third‑level troubleshooting and automation.
Responsibilities
Provide technical leadership for customer issue resolution
Manage security devices such as VPN, firewall, host intrusion prevention, data loss prevention, anti‑virus and anti‑spam systems
Automate routine L3 network operations using Python, Ansible, or Bash
Design, build, and maintain lightweight automation scripts and API integrations
Provide third‑level support for escalations from MIS Technicians
Requirements
University Degree or College Diploma (Computer Science, Engineering, Programming)
Nice to have: Cisco Certified Networking Professional (CCNP)
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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