Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are seeking a hands-on Senior Hardware Engineer with expertise in high-speed mixed-signal design to research, design, develop, and test custom instrumentation for our quantum computing control systems. In this role, you will represent the Control Systems team, working closely with Quantum Engineering to integrate, deploy, and support this hardware in our quantum computers. Due to the need for collaboration with Atom's theory, software and hardware teams, this role is required to be in the office in Boulder or Austin at least 3 days per week. Responsibilities Design high level system architectures for instruments with particular focus on driving definition of analog and RF front end designs, including signal conditioning and amplification stages, DAC and ADC selection, power and clocking schemes, as well as control and monitoring circuitry. Own the research, simulation, prototyping, evaluation, and design of high speed mixed-signal front ends used for driving high speed and high resolution analog signals used to interface with the lasers and actuators that control our quantum computers. Collaborate with software, quantum, laser, optical, and systems engineers to understand system needs, discuss solutions and define hardware design requirements. Board-level circuit design, schematic capture, and PCB layout (working with a PCB layout designer) in Altium Designer of custom control system hardware. Actively participate in the bring-up, verification, and testing of control system hardware systems, collaborating closely with FPGA, firmware, and software engineers. Experience & Education BS or MS in Electrical Engineering, Computer Engineering, or a related technical field. 5+ years of relevant postgraduate professional experience in board-level analog and digital circuit design, preferably with Altium Designer. Required Qualifications Experience completing at least one full hardware design cycle, from concept development and schematic capture through PCB layout, fabrication, and initial board bring-up. Mixed signal design experience Working knowledge of PCB design best practices and a keen attention to detail. Demonstrated proficiency with electronic test equipment (e.g., oscilloscopes, spectrum and logic analyzers, signal generators) for the bring-up and debug of prototype electronics assemblies. Experience working on boards with complicated ICs (FPGAs, processors, etc) requiring several power supplies, high speed busses, and high speed memory interfaces Self-motivated, collaborative, and driven to work effectively in a fast-growing startup environment. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Preferred Qualifications Familiarity with RF design concepts and/or software defined radio Experience designing for and characterizing high-speed data-converter systems for low phase noise, low spurious content, and high linearity. Experience with multi-gigabit serial transceiver lane design, evaluation, equalization Experience with IBIS-AMI modeling and correlation for multi-gigabit serial interfaces Experience designing high speed memory interfaces Experience with high speed digital and analog I/O and connector/cable selection and characterization Capable in scripting languages (e.g., Python) for basic data acquisition, instrument control, and automating hardware test and characterization. Experience working in a Linux environment Familiarity with the MicroTCA, PXIe, or similar pluggable instrument standards Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The base salary range for this position is between $140,000 - $160,000 annually, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/05/2026
Full time
Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are seeking a hands-on Senior Hardware Engineer with expertise in high-speed mixed-signal design to research, design, develop, and test custom instrumentation for our quantum computing control systems. In this role, you will represent the Control Systems team, working closely with Quantum Engineering to integrate, deploy, and support this hardware in our quantum computers. Due to the need for collaboration with Atom's theory, software and hardware teams, this role is required to be in the office in Boulder or Austin at least 3 days per week. Responsibilities Design high level system architectures for instruments with particular focus on driving definition of analog and RF front end designs, including signal conditioning and amplification stages, DAC and ADC selection, power and clocking schemes, as well as control and monitoring circuitry. Own the research, simulation, prototyping, evaluation, and design of high speed mixed-signal front ends used for driving high speed and high resolution analog signals used to interface with the lasers and actuators that control our quantum computers. Collaborate with software, quantum, laser, optical, and systems engineers to understand system needs, discuss solutions and define hardware design requirements. Board-level circuit design, schematic capture, and PCB layout (working with a PCB layout designer) in Altium Designer of custom control system hardware. Actively participate in the bring-up, verification, and testing of control system hardware systems, collaborating closely with FPGA, firmware, and software engineers. Experience & Education BS or MS in Electrical Engineering, Computer Engineering, or a related technical field. 5+ years of relevant postgraduate professional experience in board-level analog and digital circuit design, preferably with Altium Designer. Required Qualifications Experience completing at least one full hardware design cycle, from concept development and schematic capture through PCB layout, fabrication, and initial board bring-up. Mixed signal design experience Working knowledge of PCB design best practices and a keen attention to detail. Demonstrated proficiency with electronic test equipment (e.g., oscilloscopes, spectrum and logic analyzers, signal generators) for the bring-up and debug of prototype electronics assemblies. Experience working on boards with complicated ICs (FPGAs, processors, etc) requiring several power supplies, high speed busses, and high speed memory interfaces Self-motivated, collaborative, and driven to work effectively in a fast-growing startup environment. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Preferred Qualifications Familiarity with RF design concepts and/or software defined radio Experience designing for and characterizing high-speed data-converter systems for low phase noise, low spurious content, and high linearity. Experience with multi-gigabit serial transceiver lane design, evaluation, equalization Experience with IBIS-AMI modeling and correlation for multi-gigabit serial interfaces Experience designing high speed memory interfaces Experience with high speed digital and analog I/O and connector/cable selection and characterization Capable in scripting languages (e.g., Python) for basic data acquisition, instrument control, and automating hardware test and characterization. Experience working in a Linux environment Familiarity with the MicroTCA, PXIe, or similar pluggable instrument standards Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The base salary range for this position is between $140,000 - $160,000 annually, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Allstate is seeking a Senior AI Engineer to join our Data Science & Artificial Intelligence (AI) team in the Insurance industry. You will design, build, and deploy scalable AI/ML solutions that improve underwriting, claims, fraud detection, and customer experiences. Responsibilities include developing production-grade models, collaborating with data scientists and engineers, integrating models into cloud-based systems, and ensuring reliability, fairness, and compliance. You will mentor junior teammates, drive MLOps best practices, and partner with business stakeholders to translate complex data into measurable business impact. Responsibilities Design, build, and deploy scalable AI/ML solutions for underwriting, claims, and fraud detection Collaborate with data scientists and engineers to productionize and optimize models Implement MLOps pipelines, CI/CD, monitoring, and model governance Integrate AI services and APIs into cloud-native applications and data platforms Ensure AI systems meet security, reliability, fairness, and regulatory requirements Work with stakeholders to translate business needs into technical AI solutions Optimize model performance, latency, and cost in cloud environments Mentor junior engineers and contribute to engineering best practices and standards Document architectures, models, and processes for maintainability and reuse Evaluate and introduce new AI tools, frameworks, and practices to drive innovation Required Skills Python Machine learning algorithms Deep learning frameworks (Tensor Flow/Py Torch) MLOps and ML pipelines (CI/CD) Cloud platforms (AWS/Azure/GCP) Data engineering (SQL, data pipelines) Model monitoring and observability API development and microservices Version control (Git) Software engineering best practices
11/05/2026
Full time
Allstate is seeking a Senior AI Engineer to join our Data Science & Artificial Intelligence (AI) team in the Insurance industry. You will design, build, and deploy scalable AI/ML solutions that improve underwriting, claims, fraud detection, and customer experiences. Responsibilities include developing production-grade models, collaborating with data scientists and engineers, integrating models into cloud-based systems, and ensuring reliability, fairness, and compliance. You will mentor junior teammates, drive MLOps best practices, and partner with business stakeholders to translate complex data into measurable business impact. Responsibilities Design, build, and deploy scalable AI/ML solutions for underwriting, claims, and fraud detection Collaborate with data scientists and engineers to productionize and optimize models Implement MLOps pipelines, CI/CD, monitoring, and model governance Integrate AI services and APIs into cloud-native applications and data platforms Ensure AI systems meet security, reliability, fairness, and regulatory requirements Work with stakeholders to translate business needs into technical AI solutions Optimize model performance, latency, and cost in cloud environments Mentor junior engineers and contribute to engineering best practices and standards Document architectures, models, and processes for maintainability and reuse Evaluate and introduce new AI tools, frameworks, and practices to drive innovation Required Skills Python Machine learning algorithms Deep learning frameworks (Tensor Flow/Py Torch) MLOps and ML pipelines (CI/CD) Cloud platforms (AWS/Azure/GCP) Data engineering (SQL, data pipelines) Model monitoring and observability API development and microservices Version control (Git) Software engineering best practices
Job Description Job Description What You'll Be Doing: We are seeking a Geospatial Data Manager - Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility. Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments. What Impact You'll Have: We are looking for a Geospatial Data Manager - Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). What You Must Have: Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings/degree can be used in lieu of the years of experience requirement) Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions. Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data. Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools. Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms. Strong SQL skills and experience querying relational databases. Experience using Git-based version control platforms such as GitLab or GitHub. Proficiency with geospatial processing frameworks such as GDAL or ArcPy. Proficiency with GIS desktop software such as ArcGIS Pro or QGIS. Ability to write clear, concise technical documentation related to software systems and automated workflows. Ability to operate independently at a senior level with limited oversight. Familiarity with USSOCOM and broader U.S. military organizational structures. Familiarity with common Intelligence Community (IC) data repositories. Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $120,000 - $155,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $120,000-$155,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
11/05/2026
Full time
Job Description Job Description What You'll Be Doing: We are seeking a Geospatial Data Manager - Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility. Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments. What Impact You'll Have: We are looking for a Geospatial Data Manager - Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). What You Must Have: Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings/degree can be used in lieu of the years of experience requirement) Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions. Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data. Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools. Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms. Strong SQL skills and experience querying relational databases. Experience using Git-based version control platforms such as GitLab or GitHub. Proficiency with geospatial processing frameworks such as GDAL or ArcPy. Proficiency with GIS desktop software such as ArcGIS Pro or QGIS. Ability to write clear, concise technical documentation related to software systems and automated workflows. Ability to operate independently at a senior level with limited oversight. Familiarity with USSOCOM and broader U.S. military organizational structures. Familiarity with common Intelligence Community (IC) data repositories. Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $120,000 - $155,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $120,000-$155,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal Statistical Programmer is a high-level technical expert and study-level programming lead within the Data Intelligence & Programming Science department. This individual is responsible for leading statistical programming activities for multiple complex clinical trials or entire compound-level programs across our Neuroscience or Oncology portfolios. The Principal Statistical Programmer provides hands-on technical and operational leadership, overseeing the creation, quality control, and delivery of CDISC-compliant datasets (SDTM and ADaM), statistical tables, figures, and listings (TFLs), integrated summaries (ISS/ISE), and electronic submission deliverables for global health authorities. Additionally, this role mentors junior and senior programmers, oversees contract research organization (CRO) deliverables, and contributes to the modernization of departmental programming standards, reusable macros, and automated workflows. Essential Functions/Responsibilities Study & Program-Level Technical Leadership Serve as the Lead Statistical Programmer across complex Phase I-IV clinical trials or multi-study project areas, taking accountability for all programming deliverables from study startup through final CSR and filing. Author, review, and finalize Statistical Analysis Plans (SAPs), dataset specifications, and TFL mock shells in close partnership with Study Biostatisticians and Clinical Scientists. Direct study-level programming timelines, resource allocations, and risk mitigation strategies to ensure timely delivery of clean data milestones, interim analyses, and final database locks. CDISC Implementation & Regulatory Submissions Architect, program, and validate CDISC-compliant SDTM and ADaM datasets, ensuring strict conformance with standard implementation guides, define.xml requirements, and therapeutic area user guides (TAUGs). Create, validate, and troubleshoot complex statistical tables, figures, and listings for Clinical Study Reports (CSRs), Safety Monitoring Committees (IDMC/DSMB), and exploratory queries using SAS, R, and modern programming packages. Lead the preparation and packaging of electronic submission datasets and documentation (Define.xml, Reviewer's Guides SDRG/ADRG , Pinnaccle 21 validation reports) in compliance with FDA, EMA, and PMDA standards. Prepare integrated summaries of safety and efficacy (ISS/ISE) to support global regulatory filings (NDA/BLA/MAA) and rapid-response inquiries. Vendor Oversight & Technical Review Provide direct technical oversight and quality assurance for programming deliverables executed by external CRO partners and functional service providers (FSPs). Review CRO-generated specifications, raw data mappings, analysis datasets, and TFLs to ensure strict alignment with Jazz standards, specifications, and regulatory guidelines. Facilitate smooth data transfer and milestone coordination between internal cross-functional teams and external programming teams. Innovation, Standards & Departmental Development Design, validate, and maintain global departmental SAS macros, R functions, automation scripts, and standardized TFL templates to enhance productivity and code reproducibility. Participate in the evaluation and piloting of new technologies, automated pipelines, or open-source statistical computing tools within a validated environment. Actively mentor and develop junior and mid-level statistical programmers, providing code reviews, best practices guidance, and technical troubleshooting support. Required Knowledge, Skills, and Abilities Mastery of Statistical Programming: Expert-level proficiency in SAS (Base, Stat, Macro, ODS, Graph) and data manipulation techniques, with proven proficiency or working knowledge of R/Python in a validated clinical environment. CDISC & Regulatory Standards: Thorough mastery of CDISC SDTM and ADaM models, Define.xml generation, and Pinnacle 21 validation tools. Regulatory Filing Experience: Demonstrated hands-on experience authoring submission-level deliverables, including ISS/ISE integration, SDRG/ADRG documentation, and direct experience supporting an NDA, BLA, or MAA submission. Analytical & Problem-Solving Capabilities: Proven ability to resolve complex programming logic challenges, design efficient data algorithms, and optimize heavy data workflows. Cross-Functional Collaboration: Exceptional communication skills with the ability to collaborate effectively with Biostatisticians, Data Managers, Medical Monitors, and Regulatory Operations. Quality & GxP Compliance: Thorough knowledge of ICH/GCP guidelines, 21 CFR Part 11, computer systems validation (CSV) principles, and standard operating procedures governing clinical reporting. Required/Preferred Education and Licenses Bachelor's, Master's, or Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. Minimum of 8 years of statistical programming experience in the pharmaceutical, biotechnology, or CRO industry (or 6+ years with an advanced degree). Proven track record of serving as the primary study or program lead programmer for multiple clinical studies across early- or late-stage development. Direct experience supporting at least one major regulatory filing (NDA, BLA, MAA) or complex integrated analysis (ISS/ISE) is strongly preferred. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $138,400.00 - $207,600.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here:
11/05/2026
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal Statistical Programmer is a high-level technical expert and study-level programming lead within the Data Intelligence & Programming Science department. This individual is responsible for leading statistical programming activities for multiple complex clinical trials or entire compound-level programs across our Neuroscience or Oncology portfolios. The Principal Statistical Programmer provides hands-on technical and operational leadership, overseeing the creation, quality control, and delivery of CDISC-compliant datasets (SDTM and ADaM), statistical tables, figures, and listings (TFLs), integrated summaries (ISS/ISE), and electronic submission deliverables for global health authorities. Additionally, this role mentors junior and senior programmers, oversees contract research organization (CRO) deliverables, and contributes to the modernization of departmental programming standards, reusable macros, and automated workflows. Essential Functions/Responsibilities Study & Program-Level Technical Leadership Serve as the Lead Statistical Programmer across complex Phase I-IV clinical trials or multi-study project areas, taking accountability for all programming deliverables from study startup through final CSR and filing. Author, review, and finalize Statistical Analysis Plans (SAPs), dataset specifications, and TFL mock shells in close partnership with Study Biostatisticians and Clinical Scientists. Direct study-level programming timelines, resource allocations, and risk mitigation strategies to ensure timely delivery of clean data milestones, interim analyses, and final database locks. CDISC Implementation & Regulatory Submissions Architect, program, and validate CDISC-compliant SDTM and ADaM datasets, ensuring strict conformance with standard implementation guides, define.xml requirements, and therapeutic area user guides (TAUGs). Create, validate, and troubleshoot complex statistical tables, figures, and listings for Clinical Study Reports (CSRs), Safety Monitoring Committees (IDMC/DSMB), and exploratory queries using SAS, R, and modern programming packages. Lead the preparation and packaging of electronic submission datasets and documentation (Define.xml, Reviewer's Guides SDRG/ADRG , Pinnaccle 21 validation reports) in compliance with FDA, EMA, and PMDA standards. Prepare integrated summaries of safety and efficacy (ISS/ISE) to support global regulatory filings (NDA/BLA/MAA) and rapid-response inquiries. Vendor Oversight & Technical Review Provide direct technical oversight and quality assurance for programming deliverables executed by external CRO partners and functional service providers (FSPs). Review CRO-generated specifications, raw data mappings, analysis datasets, and TFLs to ensure strict alignment with Jazz standards, specifications, and regulatory guidelines. Facilitate smooth data transfer and milestone coordination between internal cross-functional teams and external programming teams. Innovation, Standards & Departmental Development Design, validate, and maintain global departmental SAS macros, R functions, automation scripts, and standardized TFL templates to enhance productivity and code reproducibility. Participate in the evaluation and piloting of new technologies, automated pipelines, or open-source statistical computing tools within a validated environment. Actively mentor and develop junior and mid-level statistical programmers, providing code reviews, best practices guidance, and technical troubleshooting support. Required Knowledge, Skills, and Abilities Mastery of Statistical Programming: Expert-level proficiency in SAS (Base, Stat, Macro, ODS, Graph) and data manipulation techniques, with proven proficiency or working knowledge of R/Python in a validated clinical environment. CDISC & Regulatory Standards: Thorough mastery of CDISC SDTM and ADaM models, Define.xml generation, and Pinnacle 21 validation tools. Regulatory Filing Experience: Demonstrated hands-on experience authoring submission-level deliverables, including ISS/ISE integration, SDRG/ADRG documentation, and direct experience supporting an NDA, BLA, or MAA submission. Analytical & Problem-Solving Capabilities: Proven ability to resolve complex programming logic challenges, design efficient data algorithms, and optimize heavy data workflows. Cross-Functional Collaboration: Exceptional communication skills with the ability to collaborate effectively with Biostatisticians, Data Managers, Medical Monitors, and Regulatory Operations. Quality & GxP Compliance: Thorough knowledge of ICH/GCP guidelines, 21 CFR Part 11, computer systems validation (CSV) principles, and standard operating procedures governing clinical reporting. Required/Preferred Education and Licenses Bachelor's, Master's, or Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. Minimum of 8 years of statistical programming experience in the pharmaceutical, biotechnology, or CRO industry (or 6+ years with an advanced degree). Proven track record of serving as the primary study or program lead programmer for multiple clinical studies across early- or late-stage development. Direct experience supporting at least one major regulatory filing (NDA, BLA, MAA) or complex integrated analysis (ISS/ISE) is strongly preferred. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $138,400.00 - $207,600.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here:
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal Statistical Programmer is a high-level technical expert and study-level programming lead within the Data Intelligence & Programming Science department. This individual is responsible for leading statistical programming activities for multiple complex clinical trials or entire compound-level programs across our Neuroscience or Oncology portfolios. The Principal Statistical Programmer provides hands-on technical and operational leadership, overseeing the creation, quality control, and delivery of CDISC-compliant datasets (SDTM and ADaM), statistical tables, figures, and listings (TFLs), integrated summaries (ISS/ISE), and electronic submission deliverables for global health authorities. Additionally, this role mentors junior and senior programmers, oversees contract research organization (CRO) deliverables, and contributes to the modernization of departmental programming standards, reusable macros, and automated workflows. Essential Functions/Responsibilities Study & Program-Level Technical Leadership Serve as the Lead Statistical Programmer across complex Phase I-IV clinical trials or multi-study project areas, taking accountability for all programming deliverables from study startup through final CSR and filing. Author, review, and finalize Statistical Analysis Plans (SAPs), dataset specifications, and TFL mock shells in close partnership with Study Biostatisticians and Clinical Scientists. Direct study-level programming timelines, resource allocations, and risk mitigation strategies to ensure timely delivery of clean data milestones, interim analyses, and final database locks. CDISC Implementation & Regulatory Submissions Architect, program, and validate CDISC-compliant SDTM and ADaM datasets, ensuring strict conformance with standard implementation guides, define.xml requirements, and therapeutic area user guides (TAUGs). Create, validate, and troubleshoot complex statistical tables, figures, and listings for Clinical Study Reports (CSRs), Safety Monitoring Committees (IDMC/DSMB), and exploratory queries using SAS, R, and modern programming packages. Lead the preparation and packaging of electronic submission datasets and documentation (Define.xml, Reviewer's Guides SDRG/ADRG , Pinnaccle 21 validation reports) in compliance with FDA, EMA, and PMDA standards. Prepare integrated summaries of safety and efficacy (ISS/ISE) to support global regulatory filings (NDA/BLA/MAA) and rapid-response inquiries. Vendor Oversight & Technical Review Provide direct technical oversight and quality assurance for programming deliverables executed by external CRO partners and functional service providers (FSPs). Review CRO-generated specifications, raw data mappings, analysis datasets, and TFLs to ensure strict alignment with Jazz standards, specifications, and regulatory guidelines. Facilitate smooth data transfer and milestone coordination between internal cross-functional teams and external programming teams. Innovation, Standards & Departmental Development Design, validate, and maintain global departmental SAS macros, R functions, automation scripts, and standardized TFL templates to enhance productivity and code reproducibility. Participate in the evaluation and piloting of new technologies, automated pipelines, or open-source statistical computing tools within a validated environment. Actively mentor and develop junior and mid-level statistical programmers, providing code reviews, best practices guidance, and technical troubleshooting support. Required Knowledge, Skills, and Abilities Mastery of Statistical Programming: Expert-level proficiency in SAS (Base, Stat, Macro, ODS, Graph) and data manipulation techniques, with proven proficiency or working knowledge of R/Python in a validated clinical environment. CDISC & Regulatory Standards: Thorough mastery of CDISC SDTM and ADaM models, Define.xml generation, and Pinnacle 21 validation tools. Regulatory Filing Experience: Demonstrated hands-on experience authoring submission-level deliverables, including ISS/ISE integration, SDRG/ADRG documentation, and direct experience supporting an NDA, BLA, or MAA submission. Analytical & Problem-Solving Capabilities: Proven ability to resolve complex programming logic challenges, design efficient data algorithms, and optimize heavy data workflows. Cross-Functional Collaboration: Exceptional communication skills with the ability to collaborate effectively with Biostatisticians, Data Managers, Medical Monitors, and Regulatory Operations. Quality & GxP Compliance: Thorough knowledge of ICH/GCP guidelines, 21 CFR Part 11, computer systems validation (CSV) principles, and standard operating procedures governing clinical reporting. Required/Preferred Education and Licenses Bachelor's, Master's, or Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. Minimum of 8 years of statistical programming experience in the pharmaceutical, biotechnology, or CRO industry (or 6+ years with an advanced degree). Proven track record of serving as the primary study or program lead programmer for multiple clinical studies across early- or late-stage development. Direct experience supporting at least one major regulatory filing (NDA, BLA, MAA) or complex integrated analysis (ISS/ISE) is strongly preferred. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $138,400.00 - $207,600.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here:
11/05/2026
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal Statistical Programmer is a high-level technical expert and study-level programming lead within the Data Intelligence & Programming Science department. This individual is responsible for leading statistical programming activities for multiple complex clinical trials or entire compound-level programs across our Neuroscience or Oncology portfolios. The Principal Statistical Programmer provides hands-on technical and operational leadership, overseeing the creation, quality control, and delivery of CDISC-compliant datasets (SDTM and ADaM), statistical tables, figures, and listings (TFLs), integrated summaries (ISS/ISE), and electronic submission deliverables for global health authorities. Additionally, this role mentors junior and senior programmers, oversees contract research organization (CRO) deliverables, and contributes to the modernization of departmental programming standards, reusable macros, and automated workflows. Essential Functions/Responsibilities Study & Program-Level Technical Leadership Serve as the Lead Statistical Programmer across complex Phase I-IV clinical trials or multi-study project areas, taking accountability for all programming deliverables from study startup through final CSR and filing. Author, review, and finalize Statistical Analysis Plans (SAPs), dataset specifications, and TFL mock shells in close partnership with Study Biostatisticians and Clinical Scientists. Direct study-level programming timelines, resource allocations, and risk mitigation strategies to ensure timely delivery of clean data milestones, interim analyses, and final database locks. CDISC Implementation & Regulatory Submissions Architect, program, and validate CDISC-compliant SDTM and ADaM datasets, ensuring strict conformance with standard implementation guides, define.xml requirements, and therapeutic area user guides (TAUGs). Create, validate, and troubleshoot complex statistical tables, figures, and listings for Clinical Study Reports (CSRs), Safety Monitoring Committees (IDMC/DSMB), and exploratory queries using SAS, R, and modern programming packages. Lead the preparation and packaging of electronic submission datasets and documentation (Define.xml, Reviewer's Guides SDRG/ADRG , Pinnaccle 21 validation reports) in compliance with FDA, EMA, and PMDA standards. Prepare integrated summaries of safety and efficacy (ISS/ISE) to support global regulatory filings (NDA/BLA/MAA) and rapid-response inquiries. Vendor Oversight & Technical Review Provide direct technical oversight and quality assurance for programming deliverables executed by external CRO partners and functional service providers (FSPs). Review CRO-generated specifications, raw data mappings, analysis datasets, and TFLs to ensure strict alignment with Jazz standards, specifications, and regulatory guidelines. Facilitate smooth data transfer and milestone coordination between internal cross-functional teams and external programming teams. Innovation, Standards & Departmental Development Design, validate, and maintain global departmental SAS macros, R functions, automation scripts, and standardized TFL templates to enhance productivity and code reproducibility. Participate in the evaluation and piloting of new technologies, automated pipelines, or open-source statistical computing tools within a validated environment. Actively mentor and develop junior and mid-level statistical programmers, providing code reviews, best practices guidance, and technical troubleshooting support. Required Knowledge, Skills, and Abilities Mastery of Statistical Programming: Expert-level proficiency in SAS (Base, Stat, Macro, ODS, Graph) and data manipulation techniques, with proven proficiency or working knowledge of R/Python in a validated clinical environment. CDISC & Regulatory Standards: Thorough mastery of CDISC SDTM and ADaM models, Define.xml generation, and Pinnacle 21 validation tools. Regulatory Filing Experience: Demonstrated hands-on experience authoring submission-level deliverables, including ISS/ISE integration, SDRG/ADRG documentation, and direct experience supporting an NDA, BLA, or MAA submission. Analytical & Problem-Solving Capabilities: Proven ability to resolve complex programming logic challenges, design efficient data algorithms, and optimize heavy data workflows. Cross-Functional Collaboration: Exceptional communication skills with the ability to collaborate effectively with Biostatisticians, Data Managers, Medical Monitors, and Regulatory Operations. Quality & GxP Compliance: Thorough knowledge of ICH/GCP guidelines, 21 CFR Part 11, computer systems validation (CSV) principles, and standard operating procedures governing clinical reporting. Required/Preferred Education and Licenses Bachelor's, Master's, or Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. Minimum of 8 years of statistical programming experience in the pharmaceutical, biotechnology, or CRO industry (or 6+ years with an advanced degree). Proven track record of serving as the primary study or program lead programmer for multiple clinical studies across early- or late-stage development. Direct experience supporting at least one major regulatory filing (NDA, BLA, MAA) or complex integrated analysis (ISS/ISE) is strongly preferred. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $138,400.00 - $207,600.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here:
Job Description Job Description Overview Job Title: Data Product Manager Location: Arnold AFB, TN Job Family Code: Q - Program Management & Operations (tech) Function/Branch: MIS/Data Team Directorate: MIS Position Type:Regular, Full-Time Pay Type: Exempt Sponsorship: Position Not Sponsored Grade: L10 (QA1005)/L11 (QA1103) Salary Range or Starting Hourly Rate: L10: $146,500 - $179,000; L11: $160,000 - $213,000/ per year Overview BNH is seeking a strategic, business-oriented Data Product Manager to lead our enterprise data transformation and define the roadmap for BNH's data products supporting the TOS II contract at Arnold Air Force Base. In this hands-on leadership role, you will treat enterprise data as a core product, bridging the gap between technical teams (data engineering, analytics, business intelligence) and key business stakeholders (aerospace test operations, finance, and compliance). You will define product vision, manage the data product backlog, and lead the technical team in delivering secure, self-service data capabilities that support aerospace testing throughput. As a key member of the senior leadership team, the Data Product Manager will define and execute the organization's data strategy, ensuring that data becomes a core driver of business performance, innovation, and competitive advantage. This is a hands-on leadership role that balances strategic vision with operational excellence Open to internal & external candidates. The selected candidate for this requisition may be required to occasionally (e.g. application upgrades) work outside normal business hours. Job Summary The successful candidate will be a strategic, business-oriented data leader responsible for defining the enterprise data product vision, establishing the long-term product roadmap, managing and prioritizing the feature backlog, and optimizing resource investments to ensure BNH's data assets deliver measurable business value and directly support the modernization goals of the TOS II contract. Job Duties and Key Responsibilities: Strategic leadership: Define and continuously evolve the enterprise data strategy aligned with business objectives; Establish KPIs that directly link data initiatives to business outcomes (revenue growth, churn reduction, cost savings, etc.); Act as the primary advocate for data initiatives at the executive level. Team Leadership: Build, lead, and scale a high-performing Data team (Data Engineering, Analytics, Data Science, Governance); Foster a culture of innovation, continuous learning, and technical excellence; Set priorities and make final decisions on project resourcing Cross-Functional Team Coordination: Lead and act as a bridge between cross-functional teams of data engineers, data scientists, analysts, and business leaders to ensure alignment and unblock technical progress. Product Roadmap & Delivery: Define product-level Objectives and Key Results (OKRs) and establish product success criteria; manage the data product lifecycle from concept through launch, user adoption, and continuous iteration. Maximize team velocity and resource allocation using Agile product management tools, shifting focus from "delivering on time" to "delivering high-value, high-adoption features. Requirement Translation: Convert high-level business goals into clear, actionable technical requirements for the data team. Test Operations Modernization: Partner with O&M, instrumentation, and test engineering directorates to design and modernize legacy data acquisition and telemetry pipelines. Build secure, reliable data products that scale testing capacity, directly supporting the contract's goal to double testing throughput. Data Governance and Quality Management: Oversee enterprise data governance, data quality, master data management, and data security; Ensure data collection, storage, and sharing comply with internal data governance standards, security policies and compliance with all regulatory and privacy requirements; Anticipate and mitigate technical, ethical, or financial hurdles while ensuring data accuracy; Champion best practices in data architecture and data management. Data Product Lifecycle Management: Define the long-term vision, strategy, and product roadmap for BNH's data infrastructure, analytics dashboards, and automated reporting systems. Workflow Management: Utilize Agile frameworks like Scrum or Kanban to manage data pipelines, handle unknowns, and iterate deliverables. Stakeholder Communication and Reporting: Translate complex technical progress into plain-language business insights for non-technical stakeholders and keep leadership informed on project health, risks, and ROI. Perform other duties as required. Basic Qualifications: Bachelor's in computer science, data science, software engineering, information systems, business analytics, or operations reasearch, OR Bachelor's degree in any field, plus 2 additional years of expereince in technical data management or product analytics. (10) Ten Years as a product owner, product manager, data scientist, business intelligence, data engineering or data analytics. Must be able to obtain and maintain an active security clearance and mainatain authorized user access to the AEDC local area network. U.S. Citizenship is required due to federal governement contract compliance requirements and the necessity to access secure federal databases and networks on Arnold Air Force Bsae. Preferred Qualifications Data Management Fundamentals: Understanding of data warehousing, ETL (Extract, Transform, Load) pipelines, database structures, and data modeling. Enterprise-Scale Modernization: Experience migrating legacy on-premises systems (e.g., legacy databases, analog test telemetry) to modern, cloud-based data warehouses or unified lakes. Business Intelligence & Analytics Tools: Familiarity with visualization and reporting platforms like Tableau, Power BI, or Looker. Data Science & Big Data Concepts: Working knowledge of how machine learning models, big data frameworks, and analytics workflows operate. Query & Scripting Basics: Literacy in foundational languages or tools like SQL or Python to communicate effectively with technical contributors Translation & Communication: Ability to explain complex technical metrics and machine learning outputs in plain language to non-technical business partners. Collaboration Frameworks: Experience running agile or hybrid project frameworks (such as Scrum or Kanban). Problem-Solving & Critical Thinking: Aptitude for troubleshooting data bottlenecks, missing variables, or shifting project requirements. Stakeholder Management: Skill in balancing competing demands, managing expectations, and driving project buy-in across different departments. What We Offer Competitive salaries Continuing education assistance Multiple healthcare benefits packages 401K with employer matching Paid time off (PTO) along with a federally recognized holiday schedule Who We Are Beyond New Horizons (BNH) is a fully populated joint venture of Astrion and Fluor Federal Services, Inc. formed to provide unmatched Test Operations and Sustainment services for the Arnold Engineering Development Complex. We chose our name to serve as an enduring reminder of our commitment to AEDC's rich aerospace research and development legacy anchored in AEDC's Toward New Horizons founding study and the unprecedented opportunities to greatly expand AEDC's capabilities and capacity Beyond those existing today. Leveraging the capabilities of our parent companies, BNH specializes in testing and evaluation for military and space systems combined with proven capability in large-scale Government program management, integration, engineering, and construction services for specialized and technically advanced high-hazard facilities. Join our Team! U.S. Citizenship is required. At this time BNH will not sponsor any applicants for employment authorization or offer any immigration related support for this position (i.e. H1b, F1 OPT, F-1 STEM OPT, F-1 CPT, J-1, E-2, E-3, L-1, or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount BNH is willing to pay at the time of this posting. Salaries for part-time jobs will be adjusted based upon the number of hours agreed to work at location Tennessee: Arnold Air Force, TN. L10: $146,500 - $179,000; L11: $160,000 - $213,000/ year at Arnold Air Force Base, TN. BNH is an Equal Employment Opportunity/Affirmative Action Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. . click apply for full job details
11/04/2026
Full time
Job Description Job Description Overview Job Title: Data Product Manager Location: Arnold AFB, TN Job Family Code: Q - Program Management & Operations (tech) Function/Branch: MIS/Data Team Directorate: MIS Position Type:Regular, Full-Time Pay Type: Exempt Sponsorship: Position Not Sponsored Grade: L10 (QA1005)/L11 (QA1103) Salary Range or Starting Hourly Rate: L10: $146,500 - $179,000; L11: $160,000 - $213,000/ per year Overview BNH is seeking a strategic, business-oriented Data Product Manager to lead our enterprise data transformation and define the roadmap for BNH's data products supporting the TOS II contract at Arnold Air Force Base. In this hands-on leadership role, you will treat enterprise data as a core product, bridging the gap between technical teams (data engineering, analytics, business intelligence) and key business stakeholders (aerospace test operations, finance, and compliance). You will define product vision, manage the data product backlog, and lead the technical team in delivering secure, self-service data capabilities that support aerospace testing throughput. As a key member of the senior leadership team, the Data Product Manager will define and execute the organization's data strategy, ensuring that data becomes a core driver of business performance, innovation, and competitive advantage. This is a hands-on leadership role that balances strategic vision with operational excellence Open to internal & external candidates. The selected candidate for this requisition may be required to occasionally (e.g. application upgrades) work outside normal business hours. Job Summary The successful candidate will be a strategic, business-oriented data leader responsible for defining the enterprise data product vision, establishing the long-term product roadmap, managing and prioritizing the feature backlog, and optimizing resource investments to ensure BNH's data assets deliver measurable business value and directly support the modernization goals of the TOS II contract. Job Duties and Key Responsibilities: Strategic leadership: Define and continuously evolve the enterprise data strategy aligned with business objectives; Establish KPIs that directly link data initiatives to business outcomes (revenue growth, churn reduction, cost savings, etc.); Act as the primary advocate for data initiatives at the executive level. Team Leadership: Build, lead, and scale a high-performing Data team (Data Engineering, Analytics, Data Science, Governance); Foster a culture of innovation, continuous learning, and technical excellence; Set priorities and make final decisions on project resourcing Cross-Functional Team Coordination: Lead and act as a bridge between cross-functional teams of data engineers, data scientists, analysts, and business leaders to ensure alignment and unblock technical progress. Product Roadmap & Delivery: Define product-level Objectives and Key Results (OKRs) and establish product success criteria; manage the data product lifecycle from concept through launch, user adoption, and continuous iteration. Maximize team velocity and resource allocation using Agile product management tools, shifting focus from "delivering on time" to "delivering high-value, high-adoption features. Requirement Translation: Convert high-level business goals into clear, actionable technical requirements for the data team. Test Operations Modernization: Partner with O&M, instrumentation, and test engineering directorates to design and modernize legacy data acquisition and telemetry pipelines. Build secure, reliable data products that scale testing capacity, directly supporting the contract's goal to double testing throughput. Data Governance and Quality Management: Oversee enterprise data governance, data quality, master data management, and data security; Ensure data collection, storage, and sharing comply with internal data governance standards, security policies and compliance with all regulatory and privacy requirements; Anticipate and mitigate technical, ethical, or financial hurdles while ensuring data accuracy; Champion best practices in data architecture and data management. Data Product Lifecycle Management: Define the long-term vision, strategy, and product roadmap for BNH's data infrastructure, analytics dashboards, and automated reporting systems. Workflow Management: Utilize Agile frameworks like Scrum or Kanban to manage data pipelines, handle unknowns, and iterate deliverables. Stakeholder Communication and Reporting: Translate complex technical progress into plain-language business insights for non-technical stakeholders and keep leadership informed on project health, risks, and ROI. Perform other duties as required. Basic Qualifications: Bachelor's in computer science, data science, software engineering, information systems, business analytics, or operations reasearch, OR Bachelor's degree in any field, plus 2 additional years of expereince in technical data management or product analytics. (10) Ten Years as a product owner, product manager, data scientist, business intelligence, data engineering or data analytics. Must be able to obtain and maintain an active security clearance and mainatain authorized user access to the AEDC local area network. U.S. Citizenship is required due to federal governement contract compliance requirements and the necessity to access secure federal databases and networks on Arnold Air Force Bsae. Preferred Qualifications Data Management Fundamentals: Understanding of data warehousing, ETL (Extract, Transform, Load) pipelines, database structures, and data modeling. Enterprise-Scale Modernization: Experience migrating legacy on-premises systems (e.g., legacy databases, analog test telemetry) to modern, cloud-based data warehouses or unified lakes. Business Intelligence & Analytics Tools: Familiarity with visualization and reporting platforms like Tableau, Power BI, or Looker. Data Science & Big Data Concepts: Working knowledge of how machine learning models, big data frameworks, and analytics workflows operate. Query & Scripting Basics: Literacy in foundational languages or tools like SQL or Python to communicate effectively with technical contributors Translation & Communication: Ability to explain complex technical metrics and machine learning outputs in plain language to non-technical business partners. Collaboration Frameworks: Experience running agile or hybrid project frameworks (such as Scrum or Kanban). Problem-Solving & Critical Thinking: Aptitude for troubleshooting data bottlenecks, missing variables, or shifting project requirements. Stakeholder Management: Skill in balancing competing demands, managing expectations, and driving project buy-in across different departments. What We Offer Competitive salaries Continuing education assistance Multiple healthcare benefits packages 401K with employer matching Paid time off (PTO) along with a federally recognized holiday schedule Who We Are Beyond New Horizons (BNH) is a fully populated joint venture of Astrion and Fluor Federal Services, Inc. formed to provide unmatched Test Operations and Sustainment services for the Arnold Engineering Development Complex. We chose our name to serve as an enduring reminder of our commitment to AEDC's rich aerospace research and development legacy anchored in AEDC's Toward New Horizons founding study and the unprecedented opportunities to greatly expand AEDC's capabilities and capacity Beyond those existing today. Leveraging the capabilities of our parent companies, BNH specializes in testing and evaluation for military and space systems combined with proven capability in large-scale Government program management, integration, engineering, and construction services for specialized and technically advanced high-hazard facilities. Join our Team! U.S. Citizenship is required. At this time BNH will not sponsor any applicants for employment authorization or offer any immigration related support for this position (i.e. H1b, F1 OPT, F-1 STEM OPT, F-1 CPT, J-1, E-2, E-3, L-1, or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount BNH is willing to pay at the time of this posting. Salaries for part-time jobs will be adjusted based upon the number of hours agreed to work at location Tennessee: Arnold Air Force, TN. L10: $146,500 - $179,000; L11: $160,000 - $213,000/ year at Arnold Air Force Base, TN. BNH is an Equal Employment Opportunity/Affirmative Action Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. . click apply for full job details
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal Statistical Programmer is a high-level technical expert and study-level programming lead within the Data Intelligence & Programming Science department. This individual is responsible for leading statistical programming activities for multiple complex clinical trials or entire compound-level programs across our Neuroscience or Oncology portfolios. The Principal Statistical Programmer provides hands-on technical and operational leadership, overseeing the creation, quality control, and delivery of CDISC-compliant datasets (SDTM and ADaM), statistical tables, figures, and listings (TFLs), integrated summaries (ISS/ISE), and electronic submission deliverables for global health authorities. Additionally, this role mentors junior and senior programmers, oversees contract research organization (CRO) deliverables, and contributes to the modernization of departmental programming standards, reusable macros, and automated workflows. Essential Functions/Responsibilities Study & Program-Level Technical Leadership Serve as the Lead Statistical Programmer across complex Phase I-IV clinical trials or multi-study project areas, taking accountability for all programming deliverables from study startup through final CSR and filing. Author, review, and finalize Statistical Analysis Plans (SAPs), dataset specifications, and TFL mock shells in close partnership with Study Biostatisticians and Clinical Scientists. Direct study-level programming timelines, resource allocations, and risk mitigation strategies to ensure timely delivery of clean data milestones, interim analyses, and final database locks. CDISC Implementation & Regulatory Submissions Architect, program, and validate CDISC-compliant SDTM and ADaM datasets, ensuring strict conformance with standard implementation guides, define.xml requirements, and therapeutic area user guides (TAUGs). Create, validate, and troubleshoot complex statistical tables, figures, and listings for Clinical Study Reports (CSRs), Safety Monitoring Committees (IDMC/DSMB), and exploratory queries using SAS, R, and modern programming packages. Lead the preparation and packaging of electronic submission datasets and documentation (Define.xml, Reviewer's Guides SDRG/ADRG , Pinnaccle 21 validation reports) in compliance with FDA, EMA, and PMDA standards. Prepare integrated summaries of safety and efficacy (ISS/ISE) to support global regulatory filings (NDA/BLA/MAA) and rapid-response inquiries. Vendor Oversight & Technical Review Provide direct technical oversight and quality assurance for programming deliverables executed by external CRO partners and functional service providers (FSPs). Review CRO-generated specifications, raw data mappings, analysis datasets, and TFLs to ensure strict alignment with Jazz standards, specifications, and regulatory guidelines. Facilitate smooth data transfer and milestone coordination between internal cross-functional teams and external programming teams. Innovation, Standards & Departmental Development Design, validate, and maintain global departmental SAS macros, R functions, automation scripts, and standardized TFL templates to enhance productivity and code reproducibility. Participate in the evaluation and piloting of new technologies, automated pipelines, or open-source statistical computing tools within a validated environment. Actively mentor and develop junior and mid-level statistical programmers, providing code reviews, best practices guidance, and technical troubleshooting support. Required Knowledge, Skills, and Abilities Mastery of Statistical Programming: Expert-level proficiency in SAS (Base, Stat, Macro, ODS, Graph) and data manipulation techniques, with proven proficiency or working knowledge of R/Python in a validated clinical environment. CDISC & Regulatory Standards: Thorough mastery of CDISC SDTM and ADaM models, Define.xml generation, and Pinnacle 21 validation tools. Regulatory Filing Experience: Demonstrated hands-on experience authoring submission-level deliverables, including ISS/ISE integration, SDRG/ADRG documentation, and direct experience supporting an NDA, BLA, or MAA submission. Analytical & Problem-Solving Capabilities: Proven ability to resolve complex programming logic challenges, design efficient data algorithms, and optimize heavy data workflows. Cross-Functional Collaboration: Exceptional communication skills with the ability to collaborate effectively with Biostatisticians, Data Managers, Medical Monitors, and Regulatory Operations. Quality & GxP Compliance: Thorough knowledge of ICH/GCP guidelines, 21 CFR Part 11, computer systems validation (CSV) principles, and standard operating procedures governing clinical reporting. Required/Preferred Education and Licenses Bachelor's, Master's, or Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. Minimum of 8 years of statistical programming experience in the pharmaceutical, biotechnology, or CRO industry (or 6+ years with an advanced degree). Proven track record of serving as the primary study or program lead programmer for multiple clinical studies across early- or late-stage development. Direct experience supporting at least one major regulatory filing (NDA, BLA, MAA) or complex integrated analysis (ISS/ISE) is strongly preferred. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $138,400.00 - $207,600.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
11/04/2026
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal Statistical Programmer is a high-level technical expert and study-level programming lead within the Data Intelligence & Programming Science department. This individual is responsible for leading statistical programming activities for multiple complex clinical trials or entire compound-level programs across our Neuroscience or Oncology portfolios. The Principal Statistical Programmer provides hands-on technical and operational leadership, overseeing the creation, quality control, and delivery of CDISC-compliant datasets (SDTM and ADaM), statistical tables, figures, and listings (TFLs), integrated summaries (ISS/ISE), and electronic submission deliverables for global health authorities. Additionally, this role mentors junior and senior programmers, oversees contract research organization (CRO) deliverables, and contributes to the modernization of departmental programming standards, reusable macros, and automated workflows. Essential Functions/Responsibilities Study & Program-Level Technical Leadership Serve as the Lead Statistical Programmer across complex Phase I-IV clinical trials or multi-study project areas, taking accountability for all programming deliverables from study startup through final CSR and filing. Author, review, and finalize Statistical Analysis Plans (SAPs), dataset specifications, and TFL mock shells in close partnership with Study Biostatisticians and Clinical Scientists. Direct study-level programming timelines, resource allocations, and risk mitigation strategies to ensure timely delivery of clean data milestones, interim analyses, and final database locks. CDISC Implementation & Regulatory Submissions Architect, program, and validate CDISC-compliant SDTM and ADaM datasets, ensuring strict conformance with standard implementation guides, define.xml requirements, and therapeutic area user guides (TAUGs). Create, validate, and troubleshoot complex statistical tables, figures, and listings for Clinical Study Reports (CSRs), Safety Monitoring Committees (IDMC/DSMB), and exploratory queries using SAS, R, and modern programming packages. Lead the preparation and packaging of electronic submission datasets and documentation (Define.xml, Reviewer's Guides SDRG/ADRG , Pinnaccle 21 validation reports) in compliance with FDA, EMA, and PMDA standards. Prepare integrated summaries of safety and efficacy (ISS/ISE) to support global regulatory filings (NDA/BLA/MAA) and rapid-response inquiries. Vendor Oversight & Technical Review Provide direct technical oversight and quality assurance for programming deliverables executed by external CRO partners and functional service providers (FSPs). Review CRO-generated specifications, raw data mappings, analysis datasets, and TFLs to ensure strict alignment with Jazz standards, specifications, and regulatory guidelines. Facilitate smooth data transfer and milestone coordination between internal cross-functional teams and external programming teams. Innovation, Standards & Departmental Development Design, validate, and maintain global departmental SAS macros, R functions, automation scripts, and standardized TFL templates to enhance productivity and code reproducibility. Participate in the evaluation and piloting of new technologies, automated pipelines, or open-source statistical computing tools within a validated environment. Actively mentor and develop junior and mid-level statistical programmers, providing code reviews, best practices guidance, and technical troubleshooting support. Required Knowledge, Skills, and Abilities Mastery of Statistical Programming: Expert-level proficiency in SAS (Base, Stat, Macro, ODS, Graph) and data manipulation techniques, with proven proficiency or working knowledge of R/Python in a validated clinical environment. CDISC & Regulatory Standards: Thorough mastery of CDISC SDTM and ADaM models, Define.xml generation, and Pinnacle 21 validation tools. Regulatory Filing Experience: Demonstrated hands-on experience authoring submission-level deliverables, including ISS/ISE integration, SDRG/ADRG documentation, and direct experience supporting an NDA, BLA, or MAA submission. Analytical & Problem-Solving Capabilities: Proven ability to resolve complex programming logic challenges, design efficient data algorithms, and optimize heavy data workflows. Cross-Functional Collaboration: Exceptional communication skills with the ability to collaborate effectively with Biostatisticians, Data Managers, Medical Monitors, and Regulatory Operations. Quality & GxP Compliance: Thorough knowledge of ICH/GCP guidelines, 21 CFR Part 11, computer systems validation (CSV) principles, and standard operating procedures governing clinical reporting. Required/Preferred Education and Licenses Bachelor's, Master's, or Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. Minimum of 8 years of statistical programming experience in the pharmaceutical, biotechnology, or CRO industry (or 6+ years with an advanced degree). Proven track record of serving as the primary study or program lead programmer for multiple clinical studies across early- or late-stage development. Direct experience supporting at least one major regulatory filing (NDA, BLA, MAA) or complex integrated analysis (ISS/ISE) is strongly preferred. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $138,400.00 - $207,600.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal Statistical Programmer is a high-level technical expert and study-level programming lead within the Data Intelligence & Programming Science department. This individual is responsible for leading statistical programming activities for multiple complex clinical trials or entire compound-level programs across our Neuroscience or Oncology portfolios. The Principal Statistical Programmer provides hands-on technical and operational leadership, overseeing the creation, quality control, and delivery of CDISC-compliant datasets (SDTM and ADaM), statistical tables, figures, and listings (TFLs), integrated summaries (ISS/ISE), and electronic submission deliverables for global health authorities. Additionally, this role mentors junior and senior programmers, oversees contract research organization (CRO) deliverables, and contributes to the modernization of departmental programming standards, reusable macros, and automated workflows. Essential Functions/Responsibilities Study & Program-Level Technical Leadership Serve as the Lead Statistical Programmer across complex Phase I-IV clinical trials or multi-study project areas, taking accountability for all programming deliverables from study startup through final CSR and filing. Author, review, and finalize Statistical Analysis Plans (SAPs), dataset specifications, and TFL mock shells in close partnership with Study Biostatisticians and Clinical Scientists. Direct study-level programming timelines, resource allocations, and risk mitigation strategies to ensure timely delivery of clean data milestones, interim analyses, and final database locks. CDISC Implementation & Regulatory Submissions Architect, program, and validate CDISC-compliant SDTM and ADaM datasets, ensuring strict conformance with standard implementation guides, define.xml requirements, and therapeutic area user guides (TAUGs). Create, validate, and troubleshoot complex statistical tables, figures, and listings for Clinical Study Reports (CSRs), Safety Monitoring Committees (IDMC/DSMB), and exploratory queries using SAS, R, and modern programming packages. Lead the preparation and packaging of electronic submission datasets and documentation (Define.xml, Reviewer's Guides SDRG/ADRG , Pinnaccle 21 validation reports) in compliance with FDA, EMA, and PMDA standards. Prepare integrated summaries of safety and efficacy (ISS/ISE) to support global regulatory filings (NDA/BLA/MAA) and rapid-response inquiries. Vendor Oversight & Technical Review Provide direct technical oversight and quality assurance for programming deliverables executed by external CRO partners and functional service providers (FSPs). Review CRO-generated specifications, raw data mappings, analysis datasets, and TFLs to ensure strict alignment with Jazz standards, specifications, and regulatory guidelines. Facilitate smooth data transfer and milestone coordination between internal cross-functional teams and external programming teams. Innovation, Standards & Departmental Development Design, validate, and maintain global departmental SAS macros, R functions, automation scripts, and standardized TFL templates to enhance productivity and code reproducibility. Participate in the evaluation and piloting of new technologies, automated pipelines, or open-source statistical computing tools within a validated environment. Actively mentor and develop junior and mid-level statistical programmers, providing code reviews, best practices guidance, and technical troubleshooting support. Required Knowledge, Skills, and Abilities Mastery of Statistical Programming: Expert-level proficiency in SAS (Base, Stat, Macro, ODS, Graph) and data manipulation techniques, with proven proficiency or working knowledge of R/Python in a validated clinical environment. CDISC & Regulatory Standards: Thorough mastery of CDISC SDTM and ADaM models, Define.xml generation, and Pinnacle 21 validation tools. Regulatory Filing Experience: Demonstrated hands-on experience authoring submission-level deliverables, including ISS/ISE integration, SDRG/ADRG documentation, and direct experience supporting an NDA, BLA, or MAA submission. Analytical & Problem-Solving Capabilities: Proven ability to resolve complex programming logic challenges, design efficient data algorithms, and optimize heavy data workflows. Cross-Functional Collaboration: Exceptional communication skills with the ability to collaborate effectively with Biostatisticians, Data Managers, Medical Monitors, and Regulatory Operations. Quality & GxP Compliance: Thorough knowledge of ICH/GCP guidelines, 21 CFR Part 11, computer systems validation (CSV) principles, and standard operating procedures governing clinical reporting. Required/Preferred Education and Licenses Bachelor's, Master's, or Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. Minimum of 8 years of statistical programming experience in the pharmaceutical, biotechnology, or CRO industry (or 6+ years with an advanced degree). Proven track record of serving as the primary study or program lead programmer for multiple clinical studies across early- or late-stage development. Direct experience supporting at least one major regulatory filing (NDA, BLA, MAA) or complex integrated analysis (ISS/ISE) is strongly preferred. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $138,400.00 - $207,600.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
11/04/2026
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal Statistical Programmer is a high-level technical expert and study-level programming lead within the Data Intelligence & Programming Science department. This individual is responsible for leading statistical programming activities for multiple complex clinical trials or entire compound-level programs across our Neuroscience or Oncology portfolios. The Principal Statistical Programmer provides hands-on technical and operational leadership, overseeing the creation, quality control, and delivery of CDISC-compliant datasets (SDTM and ADaM), statistical tables, figures, and listings (TFLs), integrated summaries (ISS/ISE), and electronic submission deliverables for global health authorities. Additionally, this role mentors junior and senior programmers, oversees contract research organization (CRO) deliverables, and contributes to the modernization of departmental programming standards, reusable macros, and automated workflows. Essential Functions/Responsibilities Study & Program-Level Technical Leadership Serve as the Lead Statistical Programmer across complex Phase I-IV clinical trials or multi-study project areas, taking accountability for all programming deliverables from study startup through final CSR and filing. Author, review, and finalize Statistical Analysis Plans (SAPs), dataset specifications, and TFL mock shells in close partnership with Study Biostatisticians and Clinical Scientists. Direct study-level programming timelines, resource allocations, and risk mitigation strategies to ensure timely delivery of clean data milestones, interim analyses, and final database locks. CDISC Implementation & Regulatory Submissions Architect, program, and validate CDISC-compliant SDTM and ADaM datasets, ensuring strict conformance with standard implementation guides, define.xml requirements, and therapeutic area user guides (TAUGs). Create, validate, and troubleshoot complex statistical tables, figures, and listings for Clinical Study Reports (CSRs), Safety Monitoring Committees (IDMC/DSMB), and exploratory queries using SAS, R, and modern programming packages. Lead the preparation and packaging of electronic submission datasets and documentation (Define.xml, Reviewer's Guides SDRG/ADRG , Pinnaccle 21 validation reports) in compliance with FDA, EMA, and PMDA standards. Prepare integrated summaries of safety and efficacy (ISS/ISE) to support global regulatory filings (NDA/BLA/MAA) and rapid-response inquiries. Vendor Oversight & Technical Review Provide direct technical oversight and quality assurance for programming deliverables executed by external CRO partners and functional service providers (FSPs). Review CRO-generated specifications, raw data mappings, analysis datasets, and TFLs to ensure strict alignment with Jazz standards, specifications, and regulatory guidelines. Facilitate smooth data transfer and milestone coordination between internal cross-functional teams and external programming teams. Innovation, Standards & Departmental Development Design, validate, and maintain global departmental SAS macros, R functions, automation scripts, and standardized TFL templates to enhance productivity and code reproducibility. Participate in the evaluation and piloting of new technologies, automated pipelines, or open-source statistical computing tools within a validated environment. Actively mentor and develop junior and mid-level statistical programmers, providing code reviews, best practices guidance, and technical troubleshooting support. Required Knowledge, Skills, and Abilities Mastery of Statistical Programming: Expert-level proficiency in SAS (Base, Stat, Macro, ODS, Graph) and data manipulation techniques, with proven proficiency or working knowledge of R/Python in a validated clinical environment. CDISC & Regulatory Standards: Thorough mastery of CDISC SDTM and ADaM models, Define.xml generation, and Pinnacle 21 validation tools. Regulatory Filing Experience: Demonstrated hands-on experience authoring submission-level deliverables, including ISS/ISE integration, SDRG/ADRG documentation, and direct experience supporting an NDA, BLA, or MAA submission. Analytical & Problem-Solving Capabilities: Proven ability to resolve complex programming logic challenges, design efficient data algorithms, and optimize heavy data workflows. Cross-Functional Collaboration: Exceptional communication skills with the ability to collaborate effectively with Biostatisticians, Data Managers, Medical Monitors, and Regulatory Operations. Quality & GxP Compliance: Thorough knowledge of ICH/GCP guidelines, 21 CFR Part 11, computer systems validation (CSV) principles, and standard operating procedures governing clinical reporting. Required/Preferred Education and Licenses Bachelor's, Master's, or Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. Minimum of 8 years of statistical programming experience in the pharmaceutical, biotechnology, or CRO industry (or 6+ years with an advanced degree). Proven track record of serving as the primary study or program lead programmer for multiple clinical studies across early- or late-stage development. Direct experience supporting at least one major regulatory filing (NDA, BLA, MAA) or complex integrated analysis (ISS/ISE) is strongly preferred. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $138,400.00 - $207,600.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
National Radio Astronomy Observatory
Green Bank, West Virginia
National Radio Astronomy Observatory Title: Software Engineer Group Lead, Online - UPDATED Location: 1011 Lopezville Rd, Socorro, NM 87801, USA• 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA• 155 Observatory Rd, Green Bank, WV 24944, USA Requisition Number: 251 Job Family: Software Engineer Pay Type: Salary Required Education: ENG Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting an experienced, full-time Software Engineering manager, who will directly supervise software staff. The Online Group Lead manages a team of software engineers, including overseeing resource allocations, team priorities, performance evaluations, recruiting, team building, professional development, and staff succession planning. The team you will manage provides software products and shared software infrastructure that support online operating systems for the VLA, VLBA, and GBT notably data acquisition, dynamic telescope scheduling, and observation preparation. The data acquisition process includes preparing the antenna arrays for scientific observations and dynamically selecting and executing the most suitable scheduling blocks based on the current array configuration and weather conditions. Observation Preparation Tools support calls for proposals for use of the NRAO telescopes. The Online software group will develop and maintain software capabilities and infrastructure components that can be applied across multiple NRAO systems and new projects. The Software Engineering Group Lead is also responsible for guiding short- and long-term planning, coordinating development activities, and establishing engineering best practices that improve interoperability, reliability, maintainability, and operational effectiveness. This position requires close collaboration with scientists, software engineers, systems engineers, operations staff, and project stakeholders to ensure that common software infrastructure is aligned with current operational needs and future observatory capabilities. The group will help identify opportunities to standardize reusable components, reduce duplication, improve system consistency, and support the evolution of NRAO software systems over time. This position can be based at any of our NRAO locations, including Albuquerque, NM, Socorro, NM, Charlottesville, VA, or Green Bank, WV. For well-qualified candidates, a remote work arrangement may be considered. What You Will be Doing As the Online Software Engineer Group Lead, you will be responsible for the overall personnel management of software teams responsible for 1) data acquisition software systems, 2) dynamic telescope scheduling systems, 3) observation preparation tools, and 4) software system integration. You will also be responsible for regular reporting on management status and compliance with deadlines to senior management at NRAO and other participating organizations, and you may be asked to present that status to other stakeholders or advisory bodies in formal or informal reviews. Personnel management involves building and maintaining a culture of trust, mutual collaboration, accountability, and excellence within the Online Software group and with its stakeholders. This includes: Seeking to increase the technical diversity and expertise of the group through robust recruiting and onboarding practices. Professional development for existing staff and succession planning. Ensuring a professional working environment and efficient work processes are maintained through direct line management of staff. Reviewing timesheets and periodic performance reviews, including interacting with the Human Resources and Business departments of the Observatory when necessary. Proactive compliance with NRAO and government safety policies and procedures in own work area is expected. With guidance from the Observatory Human Resource Department, coordinating and advising on personnel matters, ensuring compliance with applicable policies such as affirmative action. Advising staff on planning, technical, and operational matters, instructs and orienting new employees as necessary. Interpreting, implementing, developing and/or recommending changes to rules, regulations, policies and procedures set forth by the Observatory. Programmatic management involves oversight of all aspects of the lifecycle of software for which the group is responsible, including: Gathering of requirements, planning development, assigning tasks, tracking progress, coordinating integration, testing, acceptance, and release while fulfilling high standards of quality. Managing stakeholder relationships, establishing priorities based on stakeholder needs, and maintaining effective communications. Ensuring the delivery of high-quality software products by the team that meets stakeholder expectations and schedules. Technical management involves interacting directly with all group members: Developing the software infrastructure. Guiding the integration of software components. Maintaining a consistent view and quality of implementation across all of the software. Approving technical direction within the team. Interacting with a team of expert developers and improving on present practices whenever and wherever appropriate. Work Environment Work is typically performed in a research and development office environment. Occasional travel (domestic and international) may be required. Who You Are: You are an experienced personnel manager who has formed and supervised high-performing software teams. You derive satisfaction from supporting the professional development and continuous improvement of your staff. You have worked in an Agile environment and understand how a team interfaces with Product Owners and Scrum Masters to deliver customer value. This is a management position, and you will not personally be expected to write any software. Education A Bachelor's degree in computer science, physics, astronomy, or related field. Advanced degree preferred. Experience You must have at least three or more years of experience directly supervising a software team of three or more people, including managing staff performance, resource allocations, recruiting, professional development, and team building. Additionally, you have at least seven years of experience in software development. You have worked with stakeholders to develop plans and priorities to deliver high quality and high value products. You have worked in an Agile environment and are familiar with Scrum and team workflow management practices. Preferred Experience Relevant experience with radio astronomy operating software and procedures is preferred. Knowledge of radio astronomy theories and practice would be valuable. Demonstrated experience providing technical leadership of complex data acquisition, scheduling, and operational support systems is preferred. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $123,000 and $153,000. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 00 Yearly Salary PI4b0091efa5-
11/02/2026
Full time
National Radio Astronomy Observatory Title: Software Engineer Group Lead, Online - UPDATED Location: 1011 Lopezville Rd, Socorro, NM 87801, USA• 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA• 155 Observatory Rd, Green Bank, WV 24944, USA Requisition Number: 251 Job Family: Software Engineer Pay Type: Salary Required Education: ENG Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting an experienced, full-time Software Engineering manager, who will directly supervise software staff. The Online Group Lead manages a team of software engineers, including overseeing resource allocations, team priorities, performance evaluations, recruiting, team building, professional development, and staff succession planning. The team you will manage provides software products and shared software infrastructure that support online operating systems for the VLA, VLBA, and GBT notably data acquisition, dynamic telescope scheduling, and observation preparation. The data acquisition process includes preparing the antenna arrays for scientific observations and dynamically selecting and executing the most suitable scheduling blocks based on the current array configuration and weather conditions. Observation Preparation Tools support calls for proposals for use of the NRAO telescopes. The Online software group will develop and maintain software capabilities and infrastructure components that can be applied across multiple NRAO systems and new projects. The Software Engineering Group Lead is also responsible for guiding short- and long-term planning, coordinating development activities, and establishing engineering best practices that improve interoperability, reliability, maintainability, and operational effectiveness. This position requires close collaboration with scientists, software engineers, systems engineers, operations staff, and project stakeholders to ensure that common software infrastructure is aligned with current operational needs and future observatory capabilities. The group will help identify opportunities to standardize reusable components, reduce duplication, improve system consistency, and support the evolution of NRAO software systems over time. This position can be based at any of our NRAO locations, including Albuquerque, NM, Socorro, NM, Charlottesville, VA, or Green Bank, WV. For well-qualified candidates, a remote work arrangement may be considered. What You Will be Doing As the Online Software Engineer Group Lead, you will be responsible for the overall personnel management of software teams responsible for 1) data acquisition software systems, 2) dynamic telescope scheduling systems, 3) observation preparation tools, and 4) software system integration. You will also be responsible for regular reporting on management status and compliance with deadlines to senior management at NRAO and other participating organizations, and you may be asked to present that status to other stakeholders or advisory bodies in formal or informal reviews. Personnel management involves building and maintaining a culture of trust, mutual collaboration, accountability, and excellence within the Online Software group and with its stakeholders. This includes: Seeking to increase the technical diversity and expertise of the group through robust recruiting and onboarding practices. Professional development for existing staff and succession planning. Ensuring a professional working environment and efficient work processes are maintained through direct line management of staff. Reviewing timesheets and periodic performance reviews, including interacting with the Human Resources and Business departments of the Observatory when necessary. Proactive compliance with NRAO and government safety policies and procedures in own work area is expected. With guidance from the Observatory Human Resource Department, coordinating and advising on personnel matters, ensuring compliance with applicable policies such as affirmative action. Advising staff on planning, technical, and operational matters, instructs and orienting new employees as necessary. Interpreting, implementing, developing and/or recommending changes to rules, regulations, policies and procedures set forth by the Observatory. Programmatic management involves oversight of all aspects of the lifecycle of software for which the group is responsible, including: Gathering of requirements, planning development, assigning tasks, tracking progress, coordinating integration, testing, acceptance, and release while fulfilling high standards of quality. Managing stakeholder relationships, establishing priorities based on stakeholder needs, and maintaining effective communications. Ensuring the delivery of high-quality software products by the team that meets stakeholder expectations and schedules. Technical management involves interacting directly with all group members: Developing the software infrastructure. Guiding the integration of software components. Maintaining a consistent view and quality of implementation across all of the software. Approving technical direction within the team. Interacting with a team of expert developers and improving on present practices whenever and wherever appropriate. Work Environment Work is typically performed in a research and development office environment. Occasional travel (domestic and international) may be required. Who You Are: You are an experienced personnel manager who has formed and supervised high-performing software teams. You derive satisfaction from supporting the professional development and continuous improvement of your staff. You have worked in an Agile environment and understand how a team interfaces with Product Owners and Scrum Masters to deliver customer value. This is a management position, and you will not personally be expected to write any software. Education A Bachelor's degree in computer science, physics, astronomy, or related field. Advanced degree preferred. Experience You must have at least three or more years of experience directly supervising a software team of three or more people, including managing staff performance, resource allocations, recruiting, professional development, and team building. Additionally, you have at least seven years of experience in software development. You have worked with stakeholders to develop plans and priorities to deliver high quality and high value products. You have worked in an Agile environment and are familiar with Scrum and team workflow management practices. Preferred Experience Relevant experience with radio astronomy operating software and procedures is preferred. Knowledge of radio astronomy theories and practice would be valuable. Demonstrated experience providing technical leadership of complex data acquisition, scheduling, and operational support systems is preferred. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $123,000 and $153,000. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 00 Yearly Salary PI4b0091efa5-
Job Description Job Description Principal Conversational AI Engineer Hybrid at - Hartford CT or Wellesley MA Required Qualifications 8 years of experience designing and building software engineering solutions in cloud environments (GCP, AWS, or Azure) 8 years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc. 8 years of experience with APIs, microservices, and modern software patterns 3 years of experience working with cross-functional stakeholders on complex requirements Solid working knowledge of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines) Preferred Qualifications Hands-on experience integrating Large Language Models (LLMs) into production applications, including prompt engineering, RAG, and evaluation Experience developing and supporting voice and text chatbots, including dialog design at scale Experience with conversational AI platforms (e.g., Dialogflow, Lex, Rasa, Genesys, NICE, Twilio) and CCaaS/IVR Integrations Familiarity with LLM evaluation, guardrails, observability, and A/B testing of dialog flows Strong communication skills, capable of explaining technical concepts to both engineering and business audiences Advanced degree (Master's or PhD) in Computer Science, Engineering, AI, or a related field build the next generation of conversational AI experiences across voice and chat. As a senior individual contributor and technical leader, you will design and deliver production-grade systems that power member, patient, and customer interactions at CVS Health scale. You'll partner closely with product, design, data science, and other engineering teams to translate business needs into reliable, performant software. You'll set the technical direction for major components of our conversational AI platform, lead hands-on design and implementation of complex features, and elevate the engineering practices of those around you. If you are passionate about conversational AI and have a proven track record of leading successful engineering teams in a fast-paced environment, we would love to hear from you. Lead the technical design and implementation of major components of our conversational AI platform (chat and voice) Own end-to-end delivery of complex features from design through deployment, monitoring, and iteration Drive engineering excellence in code quality, testability, performance, scalability, and observability Perform deep design and code reviews; raise the technical bar across the team Integrate and evaluate Large Language Models, NLU/NLP engines, and STT/TTS components into production pipelines Partner with data scientists and ML engineers to operationalize models, evaluation frameworks, and guardrails Collaborate with cross-functional partners to translate ambiguous business requirements into clear technical solutions Help deploy, operate, and maintain large-scale software in production with strong operational discipline Mentor mid-level and senior engineers on advanced technical topics and best practices Contribute to the long-term technical strategy alongside Principal Engineers and architects
11/02/2026
Full time
Job Description Job Description Principal Conversational AI Engineer Hybrid at - Hartford CT or Wellesley MA Required Qualifications 8 years of experience designing and building software engineering solutions in cloud environments (GCP, AWS, or Azure) 8 years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc. 8 years of experience with APIs, microservices, and modern software patterns 3 years of experience working with cross-functional stakeholders on complex requirements Solid working knowledge of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines) Preferred Qualifications Hands-on experience integrating Large Language Models (LLMs) into production applications, including prompt engineering, RAG, and evaluation Experience developing and supporting voice and text chatbots, including dialog design at scale Experience with conversational AI platforms (e.g., Dialogflow, Lex, Rasa, Genesys, NICE, Twilio) and CCaaS/IVR Integrations Familiarity with LLM evaluation, guardrails, observability, and A/B testing of dialog flows Strong communication skills, capable of explaining technical concepts to both engineering and business audiences Advanced degree (Master's or PhD) in Computer Science, Engineering, AI, or a related field build the next generation of conversational AI experiences across voice and chat. As a senior individual contributor and technical leader, you will design and deliver production-grade systems that power member, patient, and customer interactions at CVS Health scale. You'll partner closely with product, design, data science, and other engineering teams to translate business needs into reliable, performant software. You'll set the technical direction for major components of our conversational AI platform, lead hands-on design and implementation of complex features, and elevate the engineering practices of those around you. If you are passionate about conversational AI and have a proven track record of leading successful engineering teams in a fast-paced environment, we would love to hear from you. Lead the technical design and implementation of major components of our conversational AI platform (chat and voice) Own end-to-end delivery of complex features from design through deployment, monitoring, and iteration Drive engineering excellence in code quality, testability, performance, scalability, and observability Perform deep design and code reviews; raise the technical bar across the team Integrate and evaluate Large Language Models, NLU/NLP engines, and STT/TTS components into production pipelines Partner with data scientists and ML engineers to operationalize models, evaluation frameworks, and guardrails Collaborate with cross-functional partners to translate ambiguous business requirements into clear technical solutions Help deploy, operate, and maintain large-scale software in production with strong operational discipline Mentor mid-level and senior engineers on advanced technical topics and best practices Contribute to the long-term technical strategy alongside Principal Engineers and architects
Abbott Laboratories seeks a Senior Staff AI/ML Engineer to architect and deliver advanced machine learning solutions that power next-generation diagnostics and medical technologies. In this role, you will lead end-to-end ML development-from data engineering and model design to validation, deployment, and monitoring-within a regulated healthcare environment. Partnering with clinical, product, and regulatory teams, you will ensure safety, compliance, and real-world impact. You will mentor engineers, drive MLOps best practices, and help shape Abbott's global AI strategy in a collaborative, inclusive culture. Responsibilities Architect, build, and deploy AI/ML models for diagnostics, devices, and healthcare platforms Lead end-to-end ML lifecycle including data pipelines, training, validation, and monitoring Collaborate with product, clinical, and regulatory teams to meet safety and compliance standards Mentor engineers and data scientists, setting best practices for ML engineering and MLOps Optimize model performance, scalability, and reliability in cloud and edge environments Contribute to technical strategy and roadmap for AI/ML across Abbott products Required Skills Machine learning model development Deep learning (e.g., CNNs, RNNs, transformers) Python programming Data engineering and ETL pipelines MLOps and CI/CD for MLCloud platforms (AWS, Azure, or GCP) Model validation and performance optimization Software engineering best practices (Git, testing, code review) Regulated software/medical device development (FDA, Gx P) Distributed computing frameworks (e.g., Spark, Ray)
11/01/2026
Full time
Abbott Laboratories seeks a Senior Staff AI/ML Engineer to architect and deliver advanced machine learning solutions that power next-generation diagnostics and medical technologies. In this role, you will lead end-to-end ML development-from data engineering and model design to validation, deployment, and monitoring-within a regulated healthcare environment. Partnering with clinical, product, and regulatory teams, you will ensure safety, compliance, and real-world impact. You will mentor engineers, drive MLOps best practices, and help shape Abbott's global AI strategy in a collaborative, inclusive culture. Responsibilities Architect, build, and deploy AI/ML models for diagnostics, devices, and healthcare platforms Lead end-to-end ML lifecycle including data pipelines, training, validation, and monitoring Collaborate with product, clinical, and regulatory teams to meet safety and compliance standards Mentor engineers and data scientists, setting best practices for ML engineering and MLOps Optimize model performance, scalability, and reliability in cloud and edge environments Contribute to technical strategy and roadmap for AI/ML across Abbott products Required Skills Machine learning model development Deep learning (e.g., CNNs, RNNs, transformers) Python programming Data engineering and ETL pipelines MLOps and CI/CD for MLCloud platforms (AWS, Azure, or GCP) Model validation and performance optimization Software engineering best practices (Git, testing, code review) Regulated software/medical device development (FDA, Gx P) Distributed computing frameworks (e.g., Spark, Ray)
Abbott Laboratories seeks a Senior Software Engineer to design, build, and scale secure, reliable software that powers diagnostics and medical technologies worldwide. In this role, you'll develop cloud-based services, APIs, and data-driven solutions supporting healthcare and life sciences products. You will collaborate closely with scientists, clinicians, and product teams in an inclusive, mission-driven culture focused on improving health and quality of life. Expect opportunities for technical leadership, mentoring, international collaboration, and continuous learning in a highly innovative, regulated environment. Responsibilities Design, implement, and maintain scalable, secure backend services and APIs for healthcare and diagnostics platforms. Collaborate with product managers, scientists, and cross-functional teams to translate clinical and business needs into technical solutions. Ensure code quality through code reviews, automated testing, and adherence to best practices and secure development standards. Optimize system performance, reliability, and observability for globally distributed applications. Contribute to architecture decisions, technical roadmaps, and documentation for cloud-based solutions. Mentor junior engineers and foster a culture of knowledge sharing, collaboration, and continuous improvement. Integrate software with medical devices, data pipelines, and analytics platforms while maintaining compliance with healthcare regulations. Participate in Agile ceremonies and support continuous delivery and Dev Ops practices. Required Skills Java or C# backend development Python for data integration and scripting RESTful API design and implementation SQL and relational database design (e.g., PostgreSQL, My SQL) Cloud platforms (AWS, Azure, or GCP) and microservices Containerization and orchestration (Docker, Kubernetes) Automated testing frameworks and CI/CD pipelines Secure software development and data privacy practices System monitoring, logging, and performance optimization Agile/Scrum software development methodologies
11/01/2026
Full time
Abbott Laboratories seeks a Senior Software Engineer to design, build, and scale secure, reliable software that powers diagnostics and medical technologies worldwide. In this role, you'll develop cloud-based services, APIs, and data-driven solutions supporting healthcare and life sciences products. You will collaborate closely with scientists, clinicians, and product teams in an inclusive, mission-driven culture focused on improving health and quality of life. Expect opportunities for technical leadership, mentoring, international collaboration, and continuous learning in a highly innovative, regulated environment. Responsibilities Design, implement, and maintain scalable, secure backend services and APIs for healthcare and diagnostics platforms. Collaborate with product managers, scientists, and cross-functional teams to translate clinical and business needs into technical solutions. Ensure code quality through code reviews, automated testing, and adherence to best practices and secure development standards. Optimize system performance, reliability, and observability for globally distributed applications. Contribute to architecture decisions, technical roadmaps, and documentation for cloud-based solutions. Mentor junior engineers and foster a culture of knowledge sharing, collaboration, and continuous improvement. Integrate software with medical devices, data pipelines, and analytics platforms while maintaining compliance with healthcare regulations. Participate in Agile ceremonies and support continuous delivery and Dev Ops practices. Required Skills Java or C# backend development Python for data integration and scripting RESTful API design and implementation SQL and relational database design (e.g., PostgreSQL, My SQL) Cloud platforms (AWS, Azure, or GCP) and microservices Containerization and orchestration (Docker, Kubernetes) Automated testing frameworks and CI/CD pipelines Secure software development and data privacy practices System monitoring, logging, and performance optimization Agile/Scrum software development methodologies
National Radio Astronomy Observatory
Charlottesville, Virginia
The National Radio Astronomy Observatory (NRAO) seeks a ngVLA Systems Engineer to help design and deliver the next-generation Very Large Array, a world-leading radio observatory advancing astronomy and telecommunications science. In this role, you will lead systems engineering activities across antennas, receivers, signal processing, and data transport, translating scientific goals into robust technical requirements and system architectures. Working in a collaborative, mission-driven, and research-focused culture, you will coordinate with scientists, engineers, and software teams worldwide, manage integration and test, and ensure system performance, reliability, and scalability. This position offers the opportunity to work with cutting-edge technology, contribute to groundbreaking discoveries in astrophysics, and grow professionally through continuous learning and interdisciplinary collaboration. Responsibilities Lead systems engineering for the next-generation Very Large Array (ng VLA) project Define, analyze, and allocate technical requirements across complex radio telescope subsystems Coordinate design, integration, and test activities with multidisciplinary engineering teams Collaborate with scientists to translate scientific objectives into technical system specifications Develop and maintain system architecture, interfaces, and performance models Oversee verification, validation, and system-level testing to ensure performance and reliability Prepare technical documentation, reviews, and reports for internal and external stakeholders Support risk management, configuration control, and continuous improvement processes Required Skills Systems engineering Radio frequency (RF) engineering Signal processing Systems architecture design Requirements analysis and management Systems integration and testing Network and data transport engineering Scientific or technical documentation Configuration and risk management Collaborative engineering tools (e.g., Model-based systems engineering)
11/01/2026
Full time
The National Radio Astronomy Observatory (NRAO) seeks a ngVLA Systems Engineer to help design and deliver the next-generation Very Large Array, a world-leading radio observatory advancing astronomy and telecommunications science. In this role, you will lead systems engineering activities across antennas, receivers, signal processing, and data transport, translating scientific goals into robust technical requirements and system architectures. Working in a collaborative, mission-driven, and research-focused culture, you will coordinate with scientists, engineers, and software teams worldwide, manage integration and test, and ensure system performance, reliability, and scalability. This position offers the opportunity to work with cutting-edge technology, contribute to groundbreaking discoveries in astrophysics, and grow professionally through continuous learning and interdisciplinary collaboration. Responsibilities Lead systems engineering for the next-generation Very Large Array (ng VLA) project Define, analyze, and allocate technical requirements across complex radio telescope subsystems Coordinate design, integration, and test activities with multidisciplinary engineering teams Collaborate with scientists to translate scientific objectives into technical system specifications Develop and maintain system architecture, interfaces, and performance models Oversee verification, validation, and system-level testing to ensure performance and reliability Prepare technical documentation, reviews, and reports for internal and external stakeholders Support risk management, configuration control, and continuous improvement processes Required Skills Systems engineering Radio frequency (RF) engineering Signal processing Systems architecture design Requirements analysis and management Systems integration and testing Network and data transport engineering Scientific or technical documentation Configuration and risk management Collaborative engineering tools (e.g., Model-based systems engineering)
Starbucks is seeking a Senior/Lead Decision Scientist to shape data-driven strategy across its global coffeehouse business. In this role, you will partner with Retail, Supply Chain, and Marketing teams to design experiments, build predictive and optimization models, and translate complex data into clear, actionable insights. You will lead advanced analytics projects, define key metrics, and develop dashboards that guide pricing, assortment, and customer experience decisions. You will mentor other analysts, champion best practices in experimentation and data ethics, and help embed a culture of evidence-based decision making across Starbucks. Responsibilities Lead design and analysis of experiments to optimize pricing, promotions, and customer experience Build and deploy predictive and optimization models to support retail and supply chain decisions Develop dashboards and self-serve analytics tools for stakeholders Define and refine key performance metrics and measurement frameworks Translate complex analytical findings into clear, actionable business recommendations Partner with cross-functional teams in Marketing, Operations, and Supply Chain Mentor and guide junior analysts and decision scientists Promote best practices in data quality, experimentation, and analytics governance Required Skills Statistical modeling A/B testing and experimentation design Machine learning SQLPython or RData visualization (Tableau/Power BI) Predictive analytics Optimization and forecasting Big data tools (e.g., Spark, Hive) Business intelligence and dashboarding
11/01/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to shape data-driven strategy across its global coffeehouse business. In this role, you will partner with Retail, Supply Chain, and Marketing teams to design experiments, build predictive and optimization models, and translate complex data into clear, actionable insights. You will lead advanced analytics projects, define key metrics, and develop dashboards that guide pricing, assortment, and customer experience decisions. You will mentor other analysts, champion best practices in experimentation and data ethics, and help embed a culture of evidence-based decision making across Starbucks. Responsibilities Lead design and analysis of experiments to optimize pricing, promotions, and customer experience Build and deploy predictive and optimization models to support retail and supply chain decisions Develop dashboards and self-serve analytics tools for stakeholders Define and refine key performance metrics and measurement frameworks Translate complex analytical findings into clear, actionable business recommendations Partner with cross-functional teams in Marketing, Operations, and Supply Chain Mentor and guide junior analysts and decision scientists Promote best practices in data quality, experimentation, and analytics governance Required Skills Statistical modeling A/B testing and experimentation design Machine learning SQLPython or RData visualization (Tableau/Power BI) Predictive analytics Optimization and forecasting Big data tools (e.g., Spark, Hive) Business intelligence and dashboarding
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed strategy across our global coffeehouse business. In this role, you'll translate complex data into clear insights that improve customer experience, store operations, and digital engagement. You'll design experiments, develop predictive and prescriptive models, and build dashboards that guide leaders in merchandising, pricing, and loyalty initiatives. Partnering with cross-functional teams, you'll define metrics, validate hypotheses, and tell compelling data stories. You'll mentor junior analysts, champion data quality and governance, and help shape a culture of evidence-based, ethical decision-making at scale. Responsibilities Lead design and execution of experiments and A/B tests to optimize customer experience, pricing, and promotions. Develop predictive and prescriptive models to support demand forecasting, personalization, and store operations. Translate complex data into clear, actionable insights and narratives for business and executive stakeholders. Build and maintain dashboards, reports, and self-service analytics tools for cross-functional teams. Define and refine key performance metrics for digital, retail, and loyalty initiatives. Collaborate with product, marketing, operations, and finance to identify and prioritize analytics opportunities. Ensure data quality, governance, and proper use of data across projects. Mentor and guide junior analysts and data scientists on best practices and frameworks. Evaluate and implement new analytical methods, tools, and data sources to enhance decision-making. Champion a culture of ethical, evidence-based decision-making aligned with Starbucks values. Required Skills Data science Statistical analysis A/B testing and experimentation Predictive modeling Machine learning SQLPython or RData visualization (Tableau/Power BI) Data storytelling and communication Business intelligence and reporting
11/01/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed strategy across our global coffeehouse business. In this role, you'll translate complex data into clear insights that improve customer experience, store operations, and digital engagement. You'll design experiments, develop predictive and prescriptive models, and build dashboards that guide leaders in merchandising, pricing, and loyalty initiatives. Partnering with cross-functional teams, you'll define metrics, validate hypotheses, and tell compelling data stories. You'll mentor junior analysts, champion data quality and governance, and help shape a culture of evidence-based, ethical decision-making at scale. Responsibilities Lead design and execution of experiments and A/B tests to optimize customer experience, pricing, and promotions. Develop predictive and prescriptive models to support demand forecasting, personalization, and store operations. Translate complex data into clear, actionable insights and narratives for business and executive stakeholders. Build and maintain dashboards, reports, and self-service analytics tools for cross-functional teams. Define and refine key performance metrics for digital, retail, and loyalty initiatives. Collaborate with product, marketing, operations, and finance to identify and prioritize analytics opportunities. Ensure data quality, governance, and proper use of data across projects. Mentor and guide junior analysts and data scientists on best practices and frameworks. Evaluate and implement new analytical methods, tools, and data sources to enhance decision-making. Champion a culture of ethical, evidence-based decision-making aligned with Starbucks values. Required Skills Data science Statistical analysis A/B testing and experimentation Predictive modeling Machine learning SQLPython or RData visualization (Tableau/Power BI) Data storytelling and communication Business intelligence and reporting
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed strategy across our global coffee and food operations. In this role, you will use advanced analytics, experimentation, and predictive modeling to optimize pricing, product mix, and store performance. You'll partner with operations, marketing, and digital teams to translate complex data into clear insights, dashboards, and recommendations that enhance guest experience and profitability. You will mentor junior analysts, promote data literacy, and help shape a culture of ethical, responsible data use aligned with Starbucks' community and sustainability values. Responsibilities Develop and deploy advanced analytics, forecasting, and predictive models to inform pricing, product, and operational decisions. Design and analyze A/B tests and experiments to evaluate initiatives across stores and digital channels. Build clear dashboards and self-service BI tools for stakeholders in operations, marketing, and digital. Translate complex data into actionable insights and strategic recommendations for senior leaders. Partner with cross-functional teams to define metrics, KPIs, and measurement frameworks. Mentor and guide junior analysts and data scientists, promoting best practices in analytics and coding. Ensure data quality, governance, and ethical use of customer and operational data. Communicate findings through compelling presentations, visualizations, and written summaries. Collaborate with technology teams to improve data pipelines, tooling, and analytics platforms. Support long-term analytics roadmap aligned with Starbucks' sustainability, community, and growth goals. Required Skills SQLPython or RStatistical modeling Predictive analytics A/B testing and experimentation Machine learning fundamentals Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hive) Dashboarding and reporting Business intelligence in retail/hospitality Data storytelling Forecasting and time-series analysis
11/01/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed strategy across our global coffee and food operations. In this role, you will use advanced analytics, experimentation, and predictive modeling to optimize pricing, product mix, and store performance. You'll partner with operations, marketing, and digital teams to translate complex data into clear insights, dashboards, and recommendations that enhance guest experience and profitability. You will mentor junior analysts, promote data literacy, and help shape a culture of ethical, responsible data use aligned with Starbucks' community and sustainability values. Responsibilities Develop and deploy advanced analytics, forecasting, and predictive models to inform pricing, product, and operational decisions. Design and analyze A/B tests and experiments to evaluate initiatives across stores and digital channels. Build clear dashboards and self-service BI tools for stakeholders in operations, marketing, and digital. Translate complex data into actionable insights and strategic recommendations for senior leaders. Partner with cross-functional teams to define metrics, KPIs, and measurement frameworks. Mentor and guide junior analysts and data scientists, promoting best practices in analytics and coding. Ensure data quality, governance, and ethical use of customer and operational data. Communicate findings through compelling presentations, visualizations, and written summaries. Collaborate with technology teams to improve data pipelines, tooling, and analytics platforms. Support long-term analytics roadmap aligned with Starbucks' sustainability, community, and growth goals. Required Skills SQLPython or RStatistical modeling Predictive analytics A/B testing and experimentation Machine learning fundamentals Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hive) Dashboarding and reporting Business intelligence in retail/hospitality Data storytelling Forecasting and time-series analysis
Avanos Medical seeks an Associate Director IT Global Data Analytics, Innovation & Digital Experimentation to lead data strategy across our global medtech business. In this role, you will define and deliver advanced analytics, AI/ML, and data engineering solutions that optimize clinical, commercial, and operational decisions. You will own the data experimentation roadmap, partner with business and clinical leaders to identify high value use cases, and oversee end to end project delivery. Responsibilities include managing a technical team, governing data platforms, ensuring data quality, and championing innovation while maintaining security, privacy, and regulatory compliance in a patient-focused environment. Responsibilities Lead global data analytics and digital experimentation strategy for Avanos Medical Identify, prioritize, and deliver high-value analytics and AI/ML use cases across business functions Oversee design and implementation of data platforms, pipelines, and governance frameworks Manage and mentor a technical team of data engineers, scientists, and analysts Ensure data quality, integrity, security, and regulatory compliance in a healthcare context Partner with clinical, commercial, and operations leaders to translate needs into technical solutions Drive experimentation frameworks (A/B testing, pilots, POCs) to validate data-driven initiatives Report performance, insights, and ROI of analytics programs to senior leadership Collaborate with IT and cybersecurity to maintain resilient, scalable data infrastructure Champion a culture of innovation, continuous improvement, and patient-focused decision-making Required Skills Data analytics strategy Data engineering (ETL/ELT, data pipelines) Cloud data platforms (AWS, Azure, or GCP) SQL and relational databases Python or R for analytics and data science Machine learning and AI concepts BI and data visualization tools (Tableau, Power BI, etc.) A/B testing and experimentation frameworks Data governance, security, and privacy (including healthcare context) Project and stakeholder management Statistical analysis and modeling Data architecture and warehousing
11/01/2026
Full time
Avanos Medical seeks an Associate Director IT Global Data Analytics, Innovation & Digital Experimentation to lead data strategy across our global medtech business. In this role, you will define and deliver advanced analytics, AI/ML, and data engineering solutions that optimize clinical, commercial, and operational decisions. You will own the data experimentation roadmap, partner with business and clinical leaders to identify high value use cases, and oversee end to end project delivery. Responsibilities include managing a technical team, governing data platforms, ensuring data quality, and championing innovation while maintaining security, privacy, and regulatory compliance in a patient-focused environment. Responsibilities Lead global data analytics and digital experimentation strategy for Avanos Medical Identify, prioritize, and deliver high-value analytics and AI/ML use cases across business functions Oversee design and implementation of data platforms, pipelines, and governance frameworks Manage and mentor a technical team of data engineers, scientists, and analysts Ensure data quality, integrity, security, and regulatory compliance in a healthcare context Partner with clinical, commercial, and operations leaders to translate needs into technical solutions Drive experimentation frameworks (A/B testing, pilots, POCs) to validate data-driven initiatives Report performance, insights, and ROI of analytics programs to senior leadership Collaborate with IT and cybersecurity to maintain resilient, scalable data infrastructure Champion a culture of innovation, continuous improvement, and patient-focused decision-making Required Skills Data analytics strategy Data engineering (ETL/ELT, data pipelines) Cloud data platforms (AWS, Azure, or GCP) SQL and relational databases Python or R for analytics and data science Machine learning and AI concepts BI and data visualization tools (Tableau, Power BI, etc.) A/B testing and experimentation frameworks Data governance, security, and privacy (including healthcare context) Project and stakeholder management Statistical analysis and modeling Data architecture and warehousing
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
11/01/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried), with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary This is a multi-level analytics architecture opportunity, with scope and responsibilities aligned to the selected candidate's experience, technical expertise, leadership capabilities, and demonstrated success designing enterprise analytics solutions. FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
11/01/2026
Full time
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried), with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary This is a multi-level analytics architecture opportunity, with scope and responsibilities aligned to the selected candidate's experience, technical expertise, leadership capabilities, and demonstrated success designing enterprise analytics solutions. FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Lead CarMax's Logistics Modeling team in developing optimization strategies and AI-powered planning models for vehicle transportation across its nationwide network. Manage and develop data scientists, guide software implementation with IT and field teams, and measure the business impact of logistics planning improvements. Responsibilities Develop short- and long-term logistics planning strategies aligned with business objectives. Lead development of optimization models and AI systems for vehicle transportation planning. Manage, coach, and set goals for a team of 4-7 data scientists. Collaborate with IT and field teams to implement planning models and deliver actionable plans. Design experiments and measure the business impact of logistics planning changes. Continuously improve logistics strategies to increase efficiency and business value. Required Skills Data science Logistics optimization Mathematical modeling Statistics Machine learning Artificial intelligence Python Computer science Software engineering Experiment design
10/31/2026
Full time
Lead CarMax's Logistics Modeling team in developing optimization strategies and AI-powered planning models for vehicle transportation across its nationwide network. Manage and develop data scientists, guide software implementation with IT and field teams, and measure the business impact of logistics planning improvements. Responsibilities Develop short- and long-term logistics planning strategies aligned with business objectives. Lead development of optimization models and AI systems for vehicle transportation planning. Manage, coach, and set goals for a team of 4-7 data scientists. Collaborate with IT and field teams to implement planning models and deliver actionable plans. Design experiments and measure the business impact of logistics planning changes. Continuously improve logistics strategies to increase efficiency and business value. Required Skills Data science Logistics optimization Mathematical modeling Statistics Machine learning Artificial intelligence Python Computer science Software engineering Experiment design
