Software Engineer Intern involved in full stack software development, debugging, and testing for the National Air and Space Intelligence Center (NASIC).
Compensation
Hourly rate: $21.00 - $26.00 (Pay will vary depending on the Interns year in school and experience).
Responsibilities
Develop and maintain full‑stack applications using languages such as JavaScript, Python, Go, C#, and C++
Debug and test software components
Collaborate with cross‑functional teams to support NASIC operations
Requirements
Bachelor’s degree in computer science or a relevant technical field
As a member of the Information Security Team, the Senior Vulnerability Management & SOAR Engineer will lead and mature the organization's enterprise Vulnerability Management Program, protecting applications, infrastructure, cloud services, endpoints, containers, and technology platforms from current and emerging threats.
Compensation
Boston, MA Headquarters - (NB) Only Pay Range: $104,500.00 - $130,000.00 - $155,500.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.)
Responsibilities
Own and continuously mature the enterprise Vulnerability Management Program across on-premises, cloud, containerized, endpoint, network, embedded, and application environments.
Manage the end-to-end vulnerability lifecycle, including discovery, validation, prioritization, remediation tracking, exception management, verification, and reporting.
Operate and optimize vulnerability assessment technologies to ensure comprehensive asset coverage and accurate risk visibility.
Correlate and prioritize findings from vulnerability scanners, application security tools, cloud and container security platforms, attack surface management solutions, and threat intelligence sources.
Apply risk-based methodologies leveraging CVSS, CISA KEV, exploitability, asset criticality, exposure, and business impact to identify and prioritize the most significant threats.
Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise‑level decision‑making across healthcare, operations, finance, and customer/member domains.
Compensation
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 – $180,000.00 annually, based on role scope, experience, and market considerations.
Responsibilities
Architect, design, and deploy advanced statistical, predictive, and machine learning solutions
Own end‑to‑end analytical solution lifecycle
Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility
Design analytics solutions natively within the Microsoft cloud analytics stack
Partner closely with executive stakeholders, data engineering leaders, and platform owners
Requirements
Master's degree in data science, statistics, mathematics, computer science, engineering, or related field
Lead data management and analysis for radiology research, supporting grants, publications, and clinical data curation.
Compensation
The starting salary for the Data Scientist II position is $90,000; but is negotiable based on experience and qualifications. The starting salary for the Data Scientist III position is $110,000; but is negotiable based on experience and qualifications.
Responsibilities
May supervise the data-to-day activities of staff and resolves routine personnel issues
Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science
Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
Requirements
Master’s Degree preferred; focus in biomedical informatics, data management, or related field preferred.
Nice to have: Python
Nice to have: SQL
Nice to have: Epic
Nice to have: Epic Clarity
Data Solutions Architect - Data Platform, Data Products & AI-Ready Data
Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions using multiple technologies to address cross-functional business and technical needs, and translate architecture into functional and technical specifications.
Compensation
$179,500.00 - $246,500.00
Responsibilities
Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions
Provide end-to-end architecture and technical leadership across cloud data platforms, Lakehouse, Data Lake, data integration, batch and streaming processing
Provide architecture leadership for ongoing Data Platform production support and operations
Lead resolution of complex cross-platform production issues involving Databricks, Spark, cloud infrastructure, storage, streaming, data pipelines, networking, security, data quality and downstream consumers
Lead technical Root Cause Analysis (RCA) for high-impact and recurring incidents
Senior Data Analyst supporting transportation analytics, reporting, shipment visibility, and data quality initiatives across RXO's transportation network.
Compensation
Compensation for this role is $73,976 - $92,440. The role may also be eligible for bonus or commission pay.
Responsibilities
Analyze transportation, shipment, and operational datasets to identify trends, exceptions, and opportunities
Support transportation visibility initiatives through data analysis, testing, validation, troubleshooting, and continuous improvement efforts
Develop and maintain SQL queries, datasets, and analytical models to support reporting, automation, and operational decision-making
Create and maintain dashboards, KPIs, scorecards, and reporting solutions using Power BI and related analytics tools
Identify and resolve data quality issues while supporting data governance and master data management initiatives
The Senior AI Security Engineer will own day-to-day enterprise security, lead technical incident response, and help Mercola use and secure AI across the business.
Compensation
Pay $130,000–$150,000 annual base, based on relevant experience and demonstrated capability.
Responsibilities
Own the incident queue, risk register, and remediation backlog.
Assign owners and deadlines, maintain policies and runbooks, and report progress and unresolved risks to leadership.
Lead technical incident response from triage through recovery validation.
Coordinate containment, preserve evidence, and involve Legal or specialist responders as needed.
Strengthen identity, access, and infrastructure controls across Microsoft 365, Entra ID, AWS, and connected applications.
Expected annual base salary range: $215,000 - $250,000. Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
Responsibilities
Assessment and Strategy — Assess portfolio companies’ technical reality (architecture, data assets, infrastructure, talent), translate findings into strategic insight, contribute to internal memos, and build rapid prototypes to validate proposed strategic moves.
Tooling and Internal Infrastructure — Build and maintain internal tools that make the team more effective: research automation, assessment templates, tracking systems, and reusable components that accelerate work across the portfolio.
Partner Evaluation and Execution Oversight — Lead technical diligence on implementation partners, monitor their delivery during active engagements, and participate in working sessions with portfolio company teams alongside the AI Executive.
Senior Data ScientistNewVersant Health · Troy, US
Senior AI Security EngineerNewMercola · US