5 jobs found

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Analyst II to join the Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. For this role, we are looking for someone proficient in SAS, R, and Python. As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Location: This is a hybrid role based in either our Chicago Loop or downtown Washington, DC office, with a minimum of six days per month in the office. DEPARTMENT: Statistics and Data Science The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Statistics and Data Science department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, data disclosure control, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI) that support NORC's research. The department collaborates with the departments throughout NORC, as well as leading its own projects. RESPONSIBILITIES: Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management and analysis activities. Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries. Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations. Perform various types of data analysis and modeling, often involving multiple data sets. Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics. Apply AI tools to help improve efficiency. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in one of the following fields: statistics, math, data science, computer science, or computational social science or related field required. Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization. At least 2 years' experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical and quantitative modeling, statistical/analytic programming, and data mining Strong foundation in areas of statistics, mathematics, and data science. Coding skills in SAS, R, and Python required. Additional expertise in areas of machine learning such as natural language processing and supervised/unsupervised modelling preferred. Experience using AI tools and methods (e.g., prompt engineering, agentic AI, model evaluation) is preferred. Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs. Outstanding interpersonal and critical reasoning skills. Proficiency with MS Office software. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $72,000 - $88,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Scientific Business Analyst Foster City, CA 94404 (Hybrid with 3 Days onsite) Salary - Market (DOE) Full-Time / Direct-Hire We are looking for a Scientific Business Analyst with AI experience who combines life sciences expertise with business analysis and AI product delivery. This role will partner with Product Managers, Business Leads, AI Engineers, and Data teams to define and deliver AI-powered solutions that support clinical research and drug development. The ideal candidate has a strong scientific background, understands clinical development processes, and can translate complex business needs into structured AI requirements that enable successful product delivery. This position is for customer who can able to independently handled all BA AI Scientific experience. Skills / Experience Strong understanding of clinical development lifecycle and pharmaceutical development processes 8+ years of experience working within pharmaceutical R&D organizations 8+ years of excellent business analysis and requirements gathering skills Ability to convert ambiguous business problems into structured functional requirements 5+ years of Experience defining KPIs, success metrics, and measurable business outcomes Strong written and verbal communication skills; Self-driven with ability to work independently Experience managing UAT activities and stakeholder communication; Demonstrated understanding of key clinical development concepts Bachelor's or Master's degree in Life Sciences, Health Sciences, Pharmacy, Biotechnology, Biomedical Sciences, or related discipline Academic or professional experience supporting clinical research, clinical development, translational science, oncology, or related therapeutic areas Job / Role Description Translate business needs into AI-ready requirements - Input data expectations, Model outputs (predictions, insights, recommendations) and User interaction patterns (e.g., workflows, prompts, dashboards) Individual contributor partner with Product Manager, Business Lead, AI Leads, and Data Lead to define AI use cases, including problem framing, success criteria, and measurable outcomes Apply foundational knowledge of clinical research and drug development to ensure AI use cases, requirements, and acceptance criteria accurately reflect scientific intent and business objectives Document user, functional and AI-specific requirements including data inputs, model output, user interaction workflows with acceptance criteria aligned to business outcomes and system behavior Leads requirements refinement, including current/future state analysis, requirements documentation, prioritization, feasibility alignment and stakeholder alignment Act as the primary bridge between "what's needed" (business) and "what's possible" (technical) to ensure stakeholder alignment Owns User Acceptance Testing planning and execution; Partners with Testing team to ensure requirements are testable and the solution is ready for release Strong interpersonal skills to build and maintain productive relationships with team members; Communicate effectively with internal and customer stakeholders Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps Deliverables Update and maintain user stories and acceptance criteria in Jira/ADO Author formal User Requirements Specification (URS)/Functional Requirements Specification (FRS), when required Partners with testing teams to ensure requirements are clear, unambiguous, and testable Produce current state and future state artifacts (process flows, data flows, impact summaries) as required to support solution design Lead or contribute to data specifications, source-to-target mappings, and AI input/output definitions in partnership with Data and AI teams Develop User Acceptance Test (UAT) Plan, scenarios, and test cases aligned to approved requirements Lead UAT, including coordination of test cycles, defect logging, and retesting Produce UAT test summary report supporting business acceptance and release readiness Provide regular status updates covering progress, risks, issues, and dependencies Document decisions, assumptions, and clarifications related to contracted scope Secondary Skills / (Good to have Understanding of AI/ML concepts and Generative AI solutions; Knowledge of prompt engineering, AI agents, or LLM-based workflows Experience with AI products, analytics platforms, or intelligent automation initiatives; Basic Python for exploratory data analysis Experience working in Agile and iterative product delivery; GxP / Computer System Validation (CSV) knowledge Basic SQL for data validation and analysis; Familiarity with Jira or Azure DevOps What Success Looks Like / Expected Outcome Successfully understand business priorities, clinical workflows, and AI product roadmap Partner with stakeholders to define and document high-quality AI use cases and requirements Deliver complete business analysis artifacts including User Stories, URS/FRS, process flows, and acceptance criteria Establish clear AI input/output definitions and success metrics for prioritized initiatives Successfully lead User Acceptance Testing and support multiple AI solution releases Improve collaboration between scientific stakeholders and AI engineering teams, reducing requirement ambiguity and delivery delays Contribute to the successful rollout of AI capabilities supporting clinical development and drug discovery initiatives Become a trusted business partner for AI-enabled scientific product development

JOB SUMMARY: AmeriSpeak is a growing, fast-paced, innovative, probability-based panel housed within NORC at the University of Chicago, a world leader in research excellence. The Client Services Research Analyst is a singular opportunity to develop, hone, and use your survey research skills. You will collaborate on important and cutting-edge projects, which cover a wide variety of topics impacting our world today and play a vital role in their execution. You will have the opportunity to work with, assist, and eventually coordinate a multidisciplinary, cross-functional team that includes researchers, statisticians, programmers, telephone center staff, and subject matter experts throughout NORC. The Client Services Research Analyst is responsible for assisting with critical aspects of executing AmeriSpeak client studies, including: reviewing and evaluating client questionnaires accuracy and effectiveness in question wording, logic, and application for survey mode(s), formatting client questionnaires for programming, submitting project for IRB review, develop survey respondent contact plans, reviewing programmed instrument for accuracy and quality in all modes, and managing revisions throughout the testing cycle, ensuring survey data quality through reviewing simulated data and live data, monitoring survey field progress, helping to prepare raw data for weighting and client delivery using appropriate statistical applications, and helping develop and review for quality final client deliverables. Communicates with AmeriSpeak teams and support teams as needed and directed to get projects successfully executed and delivered-on time, with high quality, and within budget. May support business development activities for proposal, pricing, and contracting support, or other collateral. Location: This is a hybrid role based in our Chicago downtown office, with a minimum of six days per month in the office. DEPARTMENT: AmeriSpeak AmeriSpeak is the first U.S. multiclient household panel to combine the speed and cost-effectiveness of panel surveys with enhanced representativeness of the U.S. population, an approach designed to achieve an industry-leading response rate and an innovative sample quality report card. AmeriSpeak has become the primary survey partner of the nation's preeminent news service, The Associated Press. Developed and funded by NORC, AmeriSpeak randomly identifies Americans-including the country's hardest-to-reach populations-and recruits them to provide their opinions and insights on a wide range of topics critical to our clients. The outcome is a truly representative picture of America and, thus, more accurate research results for use in statistical surveys. RESPONSIBILITIES: Evaluates client questionnaires for alterations in question wording and question type needed to accommodate phone and/or web modes of survey administration Formats client questionnaires for programming, writing in appropriate survey pathway logic to ensure respondents are administered the correct questions Performs quality control testing on programmed surveys in the phone and web modes and manages questionnaire revisions throughout the testing cycle Taking on other key task to get a survey executed, including submitting project for IRB review, develop survey respondent contact plans, and monitoring survey field progress Coordinates with the Data Team to review simulated data and respondent survey data throughout the field period. Using data files to review survey and monitor field As the right person matures in the position, they will: Work with clients and ensure that client expectations of quality, timelines, and deliverables are met or exceeded Participate in and collaborate with multidisciplinary, internal teams-such as AmeriSpeak business development, statistics/methodology, researchers, programming, telephone centers, and subject matter experts-to execute AmeriSpeak studies Support business development activities for proposal, pricing, and contracting support for web survey projects Performs other duties as assigned REQUIRED SKILLS: Bachelor's degree is required. Master's degree in a relevant area is a plus 1 year experience in quantitative analysis using software like SAS, STATA, R, or SPSS is preferred Experience working with data collection and data flow processes Strong knowledge of survey research; knowledge of data collection and data flow processes Well-developed problem-solving, data analysis, time management, personal organization, and attention to detail, discretion, and composure skills Strong communication and interpersonal skills Ability to work on multiple projects at the same time with agility and to work effectively with team members, multiple departments, stakeholders, and internal/external clients Ability to work effectively and collaboratively with minimal supervision Knowledge of general office procedures, technology, and equipment Microsoft Office software, including word processing, spreadsheets, and graphics (Outlook, Word, Excel, and PowerPoint). Experience with online survey or CATI software is a plus SALARY AND BENEFITS: The pay range for this position is $55,000 - $70,000 This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

JOB SUMMARY: The Health Care Evaluation Research Department at NORC seeks a Senior Data Scientist II. In this role, the Senior Data Scientist II will lead analytic work using large administrative and claims-based data to support the implementation, evaluation, and ongoing monitoring of CMS Innovation Center (CMMI) models, Medicare and Medicaid programs, and related payment and delivery system reforms. The position emphasizes technical leadership, analytic execution, and deep familiarity with CMS data systems, and includes mentoring data analysts and data scientists while collaborating closely with other project leaders, policy researchers, economists, and methodologists. At NORC, you will work alongside nationally recognized experts supporting some of the most significant health care reforms in the country. This role offers the opportunity to apply deep technical expertise to CMS Innovation Center models and Medicaid initiatives, lead analytic contributions to new business efforts, manage complex workstreams, and mentor others within a mission-driven, nonpartisan research organization. The Data Science job family exists across multiple departments at NORC and provides advanced analytical expertise for a portfolio of research and evaluation projects. The Senior Data Scientist II (SDS II) plays a strategic, hands-on role in delivering high-quality analytics for complex health care initiatives by leading large-scale data efforts, providing technical leadership to multidisciplinary teams, establishing resources and best practices for health care data work across NORC, and taking leadership on relevant business development initiatives. Work Location NORC supports hybrid work arrangements for this position in either our Washington, DC or Chicago, IL offices. Remote work status may be considered for outstanding candidates. Occasional travel may be required based on project needs and client meetings. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Health Care Evaluation Research NORC's Health Care Evaluation Research department conducts advanced analytics and evaluations for Medicare, Medicaid, and commercial insurance programs. NORC's health work supports the implementation, monitoring, and evaluation of health care payment and delivery reforms, with a particular emphasis on CMS Innovation Center (CMMI) models, state Medicaid demonstrations, and other federal health projects across Health and Human Services, states, and foundations. RESPONSIBILITIES: Lead advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms. Lead projects and manage major project workstreams including but not limited to advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms. Apply claims-based and administrative data to assess program operations, utilization, quality, access, and cost across Medicare, Medicaid, and commercial populations. Lead analyses using Medicaid T-MSIS (including TAF), state Medicaid claims and encounter data, Medicare fee-for-service claims, Medicare Advantage encounter data, and Medicare Part D prescription drug data. Access and analyze data in CMS secure data environments, including CCW/VRDC and, as appropriate, Model Space, IDR, and other CMS data platforms. Lead data acquisition, ingestion, cleaning, transformation, linkage, and harmonization for large and complex health care datasets. Develop and implement quality assurance protocols, documentation standards, and reproducible analytic workflows. Serve as a technical lead and mentor to data analysts and data scientists. Lead or co-lead analytic and data-focused components of business development efforts, including proposal writing and capture discussions. REQUIRED SKILLS: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Public Health, or a related field. At least 9 years of relevant experience (or 12 years with a Bachelor's degree) in positions of increasing responsibility involving large-scale data analysis and statistical modeling. Demonstrated experience leading project teams or teams conducting substantial work streams on larger projects. Demonstrated experience working with Medicare and/or Medicaid administrative or claims data. Experience accessing and analyzing CMS data through the Chronic Conditions Warehouse (CCW) / Virtual Research Data Center (VRDC). Demonstrated ability to lead complex analytic work, mentor technical staff, and communicate results to technical and non-technical audiences. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Strongly Preferred Qualifications: Master's degree or higher in a relevant field. Experience supporting CMS Innovation Center (CMMI) model implementation, monitoring, or evaluation. Experience working with CMS data environments, including Model Space and the Integrated Data Repository (IDR). Hands-on experience with T-MSIS/TAF, state Medicaid claims and encounter data, Medicare Advantage encounter data, and Medicare Part D prescription drug data. Proficiency with SAS, SQL, R, and/or Python, and experience working in modern data warehouse or data lake environments. Experience leading or contributing to technical proposal writing for federal health care analytics or evaluation work. SALARY AND BENEFITS: The pay range for this position is $160,000 - $190,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. This role is bonus eligible. Bonus payment is contingent upon program terms and individual performance. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Job Description Job Description BreakPoint Labs is seeking a Detection Engineer to be responsible for the design, development, and implementation of advanced detection capabilities within a Cybersecurity Service Provider (CSSP) environment. The candidate will focus on creating and managing IDS/IPS signatures, log correlation rules, and other detection tools based on indicator lifecycle analysis. The Detection Engineer collaborates with Defensive Cyber Operations (DCO) Watch Analysts and other teams to ensure timely and effective threat detection, adhering to CJCSM 6510.01B reporting requirements and supporting the CSSP's mission to protect data across a wide spectrum of sources and locations. Responsibilities include: Acting as the primary SME for cloud log sources, designing efficient detections across multi-cloud environments (Gov. Cloud, AWS, Azure, GCP, etc). Designing and implementing detection logic (KQL, EQL, and/or SPL) tailored to cloud-native threats and cloud infrastructure (e.g., containers like Kubernetes, Docker, etc.). Analyzing threat intelligence to create and refine detection mechanisms tailored to the customer's environment. Validating and testing detection rules to ensure accuracy, minimize false positive and benign positive matches, and enhance threat identification capabilities. Collaboration with DCO Watch Analysts to integrate detection mechanisms into monitoring and incident response workflows. Maintaining and updating detection tools and signatures in response to evolving threats, ensuring compliance with CJCSM 6510.01B and other applicable directives. Compiling and maintaining standard operating procedure (SOP) documentation for detection creation and implementation processes. Performing log analysis of Splunk and Elastic to support detection development and validation. Coordinating with reporting agencies and subscriber sites to align detection strategies with operational needs and threat intelligence. Participation in program reviews, product evaluations, and onsite certification evaluations to assess detection tool efficacy. Overtime may be required to support detection implementation or incident response actions (Surge). Up to 10% travel may be required Required Experience: 5+ years of experience working in a CSSP, SOC, or similar environment. 2+ years of experience with signature development, detection logic creation, and optimization on multiple platforms. Technical expertise in major cloud provider security models, services, and logs (Gov. Cloud, AWS, Azure, GCP, etc.). Experience working with and developing signatures for Splunk and Elastic. Experience with threat intelligence platforms and indicator management. Proficient knowledge of detection creation and implementation processes. Expertise in IDS/IPS solutions, including signature development and optimization. Strong understanding of the indicator lifecycle, including initial discovery, development, operational maturity, and long-term sustainment. Effective verbal and written communication skills. Ability to solve complex problems independently. Preferred certifications: AWS Certified Security, Azure Security Engineer Associate, GCP Professional Cloud Security Engineer, or equivalent SANS GIAC certifications. Certifications Required: DoD 8570 IAT Level II and DoD 8140 CSSP-specific certification. Security Clearance Required: DoD Secret. Education Required: Bachelor's Degree in the Area(s) of relevant discipline and 5 year's experience. OR, at least 8 years of experience working in a CSSP, SOC, or similar environment. Company Description BreakPoint Labs, a small business cybersecurity services firm, is dedicated to providing the methods and means for sustainable, measurable, and effective cybersecurity operations. Powered by highly motivated, experienced cybersecurity professionals with technical and scientific proficiency. We are known for developing and leveraging technology to enable a more secure cyberspace. With well-formed service delivery models in cybersecurity assessments, defensive cyber operations, research and development, and cybersecurity training, we are able to support a diverse customer base in addressing its most challenging problems in cyberspace. We are constantly seeking enthusiastic cybersecurity professionals, either to exchange technical ideas and lessons learned or to potentially join our Team. Through an established corporate culture, we embrace a highly technical, geeky workforce passionate about developing and leveraging technology to secure cyberspace. We have recently merged with Valiant Solutions to make us stronger, and better than ever to provide our customers with outstanding services. Company Description BreakPoint Labs, a small business cybersecurity services firm, is dedicated to providing the methods and means for sustainable, measurable, and effective cybersecurity operations. Powered by highly motivated, experienced cybersecurity professionals with technical and scientific proficiency. We are known for developing and leveraging technology to enable a more secure cyberspace. With well-formed service delivery models in cybersecurity assessments, defensive cyber operations, research and development, and cybersecurity training, we are able to support a diverse customer base in addressing its most challenging problems in cyberspace. We are constantly seeking enthusiastic cybersecurity professionals, either to exchange technical ideas and lessons learned or to potentially join our Team. Through an established corporate culture, we embrace a highly technical, geeky workforce passionate about developing and leveraging technology to secure cyberspace. We have recently merged with Valiant Solutions to make us stronger, and better than ever to provide our customers with outstanding services.