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City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Please read all the requirements listed below. This post will be taken down once we have received the first 100 qualified applications. EarthScope Consortium Inc. is not able to sponsor applicants for work authorization within the United States. EarthScope Consortium is only able to hire employees working inside the 50 U.S. States. To be considered, applicants must reside and work within the 50 U.S. States. Job Title: Educational Technologist I Reports to: Engagement Program Manager Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National United States Travel Requirements: Up to 20% Salary Range: $60,000 - $70,000 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The Educational Technologist I serves as a critical bridge between the organization's Engagement and Data Science groups. This role focuses on integrating technology into education initiatives and ensuring data science best practices are followed. As part of a remote-first organization, this professional collaborates virtually with staff with a variety of backgrounds. This position plays a vital role in ensuring that educational programs are enriched with advanced data science while maintaining accessibility and engagement. Details of Responsibilities General Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with a strong emphasis on interactive data analysis and coding (e.g. Jupyter Notebooks), to support educational initiatives Support accessibility standards and ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Job Duties: Maintain educational modules for geophysical data processing and analysis in cloud-based environments using current programming and technology such as Python, R, and others. Participate in leading virtual workshops and training sessions Maintain training materials for geophysical data analysis tools, cloud computing platforms, and scientific workflows optimized for accessibility, usability, and engagement in both synchronous and asynchronous contexts Maintain documentation of training materials Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Qualifications Minimum Education & Experience Requirements: Bachelor's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field 2+ years of combined experience in: Data science, computational geophysics, or similar technical field or educational technology Preferred Skills: Master's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field Certifications in cloud technologies from cloud providers including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Experience with cloud-based notebook environments for educational applications Experience with cloud computing platforms (AWS, Google Cloud, Azure) for scientific data processing Experience integrating computational tools into learning environments Experience working with geophysical data types (seismic, electromagnetic, gravity, magnetic, etc.) Demonstrated proficiency in programming languages commonly used for data analysis, statistical computing, machine learning, and scientific research (e.g. Python, R) programming Demonstrated experience working at the intersection of pedagogy and data science. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Manage the plan for managing digital educational resources balancing brand awareness, ability to get data analytics and user functionality. Manage the development of tools to enable the learning of geophysics and the use of facility data in instruction including: The development of no-code/low-code interactive simulations and notebooks, Webtools to deliver data to educators and students Contribute to the Data Science and Computing Academy. Serve as the product owner of Earthscope's learning management system including: Create and maintain information for users of Moodle to facilitate usage Identify needed functionality or plug-ins for Moodle to improve user experience Ensure metrics/usage data are collected for courses offered in GeoLab and Moodle Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Expert user of Google suite of tools Knowledge of learning theory and instructional design principles Knowledge of Universal Design for Learning (UDL) Familiarity with emerging educational technologies Knowledge of learning management systems for course design and analytics. Abilities to use data analytics to assess learner engagement, track performance, and inform instructional decisions. Knowledge of cybersecurity and digital ethics. Ability to work collaboratively with data scientists and software engineers in Data Services. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Exceptional organizational and time management skills. Ability to work in a team-oriented environment with diverse members and different communication styles Ability to organize and prioritize work. Ability to communicate effectively with different audiences Ability to exercise independent judgment and interact effectively with internal and external partners Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Ability to occasionally travel (1-4 times per year) to in-person team gatherings, conferences, field sites, or partner institutions Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT : Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Acknowledgment This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The EarthScope Consortium reserves the right to add to, remove or modify this job description at any time. This includes the right to assign or reassign duties and responsibilities as needed. The EarthScope Consortium also reserves the right to release or eliminate this position at any time. Equal Opportunity It is the policy of EarthScope Consortium not to discriminate against any applicant for employment, or any employee based on the criteria outlined in Title VI and Title VII of the Civil Rights Act of 1964. . click apply for full job details

V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquarteerd in Bloomfiled Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at to know more . Must Have Skills: Experience implementing production solutions that leverage generative AI and LLMs Machine learning model solution design, build, orchestration and implementation Experience building solutions with model governance, risk management, and regulatory adherence at top of mind GPT 5.x Langchain RAG / RAGAS Nice to Have Skills: Experience in financial services Azure AI Search / AI Agent Service / Document Intelligence / Content Safety Microsoft Agent Framework / Foundry Redis Elasticsearch Arize Deepeval ChromaDB Lang graph Education: Bachelors required. V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. - to view all of our open opportunities and to learn more about our benefits.

Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:

Job ID: 695377BR Date posted: Jan. 13, 2026 Description: Who We Are: Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Basic Qualifications: • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority. • Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI(X) HubDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart new exciting directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements. Required Qualifications Ph.D. in Electrical and Computer Engineering, Computer Science Engineering, Biomedical Engineering, Integrated Systems Engineering, Mathematics, Statistics, or equivalent terminal degree with deep knowledge of Artificial Intelligence and Machine Learning. Desired Qualifications Ability to help create scalable Artificial Intelligence workflows. Experience in working with inter-disciplinary research groups. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position may fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI for HealthDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart exciting new directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering, Physics, or equivalent computing-centric disciplines with demonstrated experience in health sciences. Inter-disciplinary research experience with a focus on health sciences and biomedicine and artificial intelligence (including machine learning). Desired Qualifications Publications in health sciences and biomedical journals. Demonstrable interdisciplinary research experience. Deep understanding of machine learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health sciences knowledge. Experience in grant writing and development for health-related opportunities. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position will fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.

Data Science Analyst 2 Job ID: 292361 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks an experienced Data Scientist 2 to join our research unit and provide technical leadership in advancing our computational health research capabilities. This mid-level position combines hands-on data science expertise with team leadership responsibilities, playing a pivotal role in establishing our department as a leader in AI-driven health research. You will lead complex research projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data while mentoring team members and contributing to our growing portfolio of high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your leadership will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and System Design Utilizes a solid understanding of fundamental design concepts during all stages within the Software Development Life Cycle (SDLC). Shared responsibility with team lead for the Design stage within the SDLC. Shared responsibility with junior developers for the following stages within the SDLC: Construction, Testing, Debugging, and Deployment. Analyzes and identifies solution-wide testing requirements. Investigates systematic and operational issues and identifies potential solutions. Flexibility with both SysOps and DevOps opportunities. Leverages advanced knowledge of Microsoft, open-source, and web standard technologies such as ASP. NET Web Forms, ASP.NET MVC, C#, CSS, HTML, JavaScript, jQuery, and T-SQL to design and develop technical solutions to new and existing problems with varying scale and complexity utilizing fundamental design concepts and department standards to support work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Application Implementation and Maintenance Develops and maintains applications and databases by working with the team lead in evaluating client needs, analyzing requirements, and developing software systems across multiple projects. Arranges project requirements in programming sequence by analyzing requirements. Prepares workflow documents using knowledge of client capabilities, subject matter, development technologies, and logic. Confirms program operation, integrity, consistency, and standards compliance with each platform necessitated by the client. Communication Identifies and transcribes client requirements and requests using interpersonal skills and ability to translate to all technical or non-technical audiences. Provides design and requirements for user guide documentation and validates its content. Oversight of customer service tasks such as user training, user queries, operational problems, and system problems. Enhance staff accomplishments and competence by planning delivery of solutions, answering technical and procedural questions, teaching improved processes, and conveying general accessibility. Supervision Serves as team lead to junior application developers. Required Qualifications Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with three years related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Ability to maintain confidentiality. Detail-oriented. Excellent interpersonal, verbal, and written communication skills. Proficient in Microsoft Office and other computer software/databases. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B11 Salary Range: $56,600/annually - $72,200/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee . click apply for full job details

Posting Number: G/R31704P Working Title: Postdoctoral Associate - AI Systems Department: COE-AI in STEM Education About the University of Georgia: Chartered by the state of Georgia in 1785, the University of Georgia is the birthplace of public higher education in America and is the state's flagship university () . The proof is in our more than 240 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,100 faculty and more than 7,700 full-time staff. The University's enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including our newly established School of Medicine. About the College/Unit/Department: As the 4th largest public college of education in the country and the 3rd largest college at UGA, the Mary Frances Early College of Education (MFE COE) improves the lives of residents of Georgia and beyond through our instruction, research, and service. The MFE COE is a comprehensive college with disciplines focused on teacher preparation, counseling and human development, communication sciences, human movement sciences, career development, student affairs, and educational administration and policy. We place significant emphasis on graduate education with approximately 40% of our students at the graduate level, making us the second largest college at UGA with respect to graduate education. College/Unit/Department website: Employment Type: Employee Advertised Salary: Commensurate with Experience Anticipated Start Date: 02/02/2026 Posting Date: 12/15/2025 Open Until Filled: Yes Special Instructions to Applicants: Review of applications will begin immediately and continue until the position is filled. Applicants are asked to submit their CV, a statement of their research interests, and a list of references. References of only the finalists will be checked. Location of Vacancy: Athens Area EOO Statement: The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR ( ). USG Core Values Statement: The University System of Georgia is comprised of our 26 institutions of higher education and learning, as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Duties/Responsibilities: Lead or co-lead software engineering efforts for generative AI-enabled educational tools, including prototyping, model integration, system testing, and iterative refinement Establish and maintain scholarly research and publication Support the Director in technical aspects of Center operations related to AI, computer science, and software engineering Mentor graduate students working on AI development, data science, and software engineering in education Percentage of time: 100 Classification Title: Post-Doctoral Associate AD FLSA: Exempt FTE: 1.0 Position Summary: The AI4STEM Education Center at the University of Georgia's (UGA) Mary Frances Early College of Education invites applications for a Postdoctoral Research Associate position with a focus on the development of AI systems and data science for STEM education to begin February 2026. The position is a 12-month renewable full-time appointment based on the Athens campus. The successful candidate will be working with Dr. Xiaoming Zhai, Associate Professor and Director of the AI4STEM Education Center, and other collaborators on several federally funded grants from the National Science Foundation and the U.S. Department of Education. The candidate will actively contribute to the design, development, and evaluation of AI applications to advance computing, AI literacy, data science, and STEM education across K-12 and higher education. Relevant/Preferred Education, Experience, Licensure, Certification in Position: A doctorate in computer science, data science, education with a computing focus, or a closely related field by the start date Knowledge, Skills, Abilities and/or Competencies : Demonstrated expertise developing, implementing, and evaluating software systems that use machine learning, natural language processing, generative AI, and/or computer vision Proficiency in modern software engineering tools, workflows, and languages (e.g., Python, PyTorch/TensorFlow) High-quality publications on AI for STEM education or AI-enabled learning technologies Ability to work on campus and engage collaboratively with interdisciplinary teams Strong commitment to developing AI systems and data science skills to improve STEM education. Ability to translate complex AI tools and concepts into accessible learning experiences for teachers and students An established, active record of scholarship and productivity Strong communication, organization, responsiveness, and collaborative teamwork skills Is this a Position of Trust?: No Does this position have operation, access, or control of financial resources? : No Does this position require a P-Card? : No Is having a P-Card an essential function of this position? : No Is driving a requirement of this position?: No Does this position have direct interaction or care of children under the age of 18 or direct patient care?: No Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications): No Background Investigation Policy: Offers of employment are contingent upon completion of a background investigation including, a criminal background check demonstrating your eligibility for employment with the University of Georgia; confirmation of the credentials and employment history reflected in your application materials (including reference checks) as they relate to the job-based requirements of the position applied for; and, if applicable, a satisfactory credit check. You may also be subject to a pre-employment drug test for positions with high-risk responsibilities, if applicable. Please visit the UGA Background Check website . Contact Details: For questions concerning this position or recruitment progression, please refer to the Recruitment Contact listed below. Recruitment Contact Name: Christina Chhin Recruitment Contact Email:

Category:: Faculty Subscribe:: Department:: School of Computing Locations:: Binghamton, NY Posted:: Dec 1, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 13524 Position ID:: 195195 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation, and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. Job Description: Department Overview Binghamton University is one of four University Centers in the State University of New York System and an R1 research institute. Binghamton University was recently named a Top 10 Public Ivy by Forbes. The School of Computing (formerly Computer Science Department) has well established Ph.D. and M.S. programs, an accredited B.S. program in Computer Science, and an M.S. program in Information Systems. The School of Computing is ranked between 201 - 250 in the world by the recent THE (Times Higher Education) world ranking. The School currently has 51 full-time faculty members, about 800 undergraduate students, about 700 MS students and about 90 PhD students. The NSF industry-university collaborative research center on energy-smart electronic systems and local high-tech companies such as IBM, Lockheed-Martin and BAE provide opportunities for collaboration. The university has a Data Science Transdisciplinary Area of Excellent (TAE), which will provide opportunities for collaboration across the entire campus. Binghamton University was recently designated as a National Center of Academic Excellence in Cyber Defense Research (CAE-R) by the National Security Agency and the Department of Homeland Security, and was also selected as an NSF CyberCorp Scholarship for Service (SFS) site. Our faculty members excel in research in the areas of computer systems, artificial intelligence and cybersecurity and have a significant record of success, with eight faculty members receiving the NSF CAREER Award in the past four years and significant annual research funding from a variety of agencies. The Binghamton University Institute for AI and Society, established under the SUNY STRIVE Artificial Intelligence strategic plan, addresses the transformational impact of AI on society through high-impact socio-technical research. The Institute integrates cross-disciplinary strengths across AI technology, community engagement, arts, social sciences, education, and healthcare to advance safe, secure, and ethical AI innovations. As a member of the Empire AI Consortium, researchers have access to state-of-the-art computational infrastructure, including large-scale GPU clusters and high-performance computing resources. The Institute has established research excellence in robotics and embodied-AI, safety and security, misinformation and inauthentic online behavior, as well as socio-technical analysis of emerging platforms, positioning faculty to tackle critical problems at the intersection of AI and society. Job Description The School of Computing in the Thomas J. Watson College of Engineering and Applied Science at Binghamton University (The State University of New York at Binghamton) invites applications for a tenure-track positions at the Assistant and Associate Professor level with an expected start date of September 1, 2026. We are looking for candidates in the area of AI and Society. We invite candidates in areas including, but not limited to: AI Safety, Trustworthiness, and Adversarial Systems: Research on adversarial manipulation of AI systems, bot detection, coordinated inauthentic behavior, platform integrity, and mechanisms for building robust and trustworthy AI systems at scale. Computational Social Science and Online Harms: Large-scale empirical analysis of online communities, toxic behavior, hate speech, harassment campaigns, radicalization pathways, and the socio-technical dynamics of fringe and mainstream social media. Misinformation, Disinformation, and Information Integrity: Detection and analysis of coordinated information operations, low-credibility content propagation, generative AI misuse for deception, and interventions for maintaining information ecosystem health. AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare; critical infrastructure; and the downstream effects of AI deployment in high-stakes social contexts. Machine Learning for Social Computing: Development of scalable ML methods for social media analysis, natural language processing for content moderation, and large-scale data mining of online behavior. The School of Computing and the Watson College are dedicated to the goal of building a diverse and inclusive teaching, research, and working environment. We are particularly interested in candidates with a commitment to diversity and inclusiveness. Historically underrepresented minorities, women, persons with disabilities, and veterans, are encouraged to apply. Requirements: Minimum Qualifications (Required) 1. Must have a Ph.D. in computer science or a relevant field by September 1, 2026 2. Record of research Preferred Qualifications (Optional) The following qualifications are preferred but not required: 1. College-level teaching experience. 2. Educational or teaching experience in a U.S.-based setting. Please be advised that H1B visa sponsorship may not be available for this position. Additional Information: Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact the ADA Coordinator by completing the following Request Form . The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by title IX and its implementing regulations, Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . Binghamton University is a tobacco-free campus effective August 1, 2017. Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Application Instructions: To apply, submit the following documents via Interview Exchange: Cover letter (at the beginning of your cover letter please provide a single sentence indicating your primary teaching and primary research interest areas) Curriculum Vitae (CV) Teaching statement Research statement Diversity statement (which describes your experience and evidence of teaching a diverse population of students, including first generation students . click apply for full job details

Neuroimaging Data Analyst D University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Neuroimaging Data Analyst D Job Profile Title Data Analyst D Job Description Summary Neuroimaging Data Analyst D The Shanmugan Laboratory is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI). Our goal is to personalize early interventions in reproductive psychiatry. To do this, we use non-invasive neuroimaging and advanced computational methods to understand mechanisms underlying sex differences in psychopathology and identify neuroendocrinologic markers of risk vs. resilience for psychiatric disorders. The Neuroimaging Data Analyst D will provide support for managing and analyzing data. Job Description The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education Neuroimaging Data Analyst D The Neuroimaging Data Analyst D provides support for managing and analyzing neuroimaging data. Analysts play a central role on large-scale projects that seek to understand the impact of reproductive timepoints, including puberty, pregnancy, and menopause, on the brain. Within these projects, they work in a team environment with a diverse, multi-disciplinary group of faculty and trainees from psychiatry, psychology engineering, statistics, and computer science. Primary responsibilities include management, processing, and analysis of high-dimensional imaging data. Additional responsibilities will be assigned based on the successful candidate's skills and interests. All analysts additionally lead independent projects (i.e., meta-analyses of neuroimaging studies) where they write first-author manuscripts. Qualifications Bachelor's degree in Engineering, Statistics, or Computational Neuroscience, and 3 to 5 years of research experience or an equivalent combination of education and experience is required. Master's degree preferred. To succeed in the highly collaborative environment, excellent interpersonal and communication skills are required. Program and data analysis skills are required, including Python, linux/bash, SQL, and R. Experience with neuroimaging tools (SPM, AFNI, FSL), clinically-acquired neuroimaging, machine learning, and working with Epic databases (Clarity, databricks, Caboodle) is strongly preferred but not required. Background check required. Position contingent on funding. Working Conditions Office, Library, Computer Room; Requires extensive safety Physical Effort Typically sitting at a desk or table; Occasional lifting 25 lb. or less Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $70,500.00 - $85,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: . click apply for full job details

Sr. Software Developer School of Medicine, Stanford, California, United States Information Technology Services Oct 29, 2025 Post Date 107317 Requisition # Stanford University is seeking an experienced Sr. Software Developer with a strong passion for biomedical informatics and advancing healthcare through the power of AI. This role involves leading the integration of large-scale biomedical data sources-such as radiology and pathology imaging, genomics, and electronic health records (EHR)-into Stanford's clinical data warehouse. The Sr. Software Developer will design, implement, and maintain both front-end and back-end solutions for healthcare applications, ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR). Key responsibilities include applying AI tools like Natural Language Processing (NLP) and Machine Learning (ML), managing data security, troubleshooting complex technical problems, and collaborating with diverse teams. This position offers the opportunity to contribute to cutting-edge healthcare research while mentoring junior engineers and overseeing critical projects. Duties include: • Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications. • Contribute to all phases of a project, including systems analysis, program design, development, and implementation. Serve as project lead for some projects. • Oversee testing, debugging, change control, and documentation for major projects. • Lead and mentor professional staff, as necessary, working on all phases of application development projects. • Engage in long-term strategic planning.in collaboration with staff and project leadership. • Define complex application development administration and programming standards. • Oversee the support, maintenance, operation, upgrades of applications. • Troubleshoot and resolve complex technical problems. • Review the physical design of existing systems for optimizing performance. • Lead projects, as necessary, for special systems and application development in areas of complex problems. • Work with other technical professionals to develop standards and implement best practices. • Provide innovative programming and analysis. • May mentor junior software developers. - Other duties may also be assigned DESIRED QUALIFICATIONS: • BS in Software Engineering, Biostatistics, Bioinformatics or research-related program • Experience performing data analysis in research analyses and visualization work in a healthcare research or clinical setting • Fluency in SQL, Python and R • Strong knowledge of cloud platforms such as Google Cloud, Azure or AWS • Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes • Experience with CI/CD tools such as GitLab CI/CD or GitHub Actions • Solid programming skills and experience in scripting • Experience with data transformation and workflow tools such as dbt, Airflow or WDL • Strong knowledge of database architecture best practices • Strong interpersonal and communication skills to interact with technical and non-technical stakeholders • Excellent writing and analytical skills • Five years of experience collaborating as a computational biologist or biostatistician • Experience with common data models like OMOP, PCORnet or i2b2 • Experience with ontologies, terminologies, UMLS, or Semantic Web • Familiarity with Cloud computing paradigm • Experience with working in a medical school environment, and working with HIPAA PHI and other clinical EHR databases • Familiarity with LLMs, NLPs, ML, and other AI technologies EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Ability to quickly learn and adapt to new technologies and programming tools. • Demonstrated experience in designing, developing, testing, and deploying applications. • Strong understanding of data design, architecture, relational databases, and data modeling. • Thorough understanding of all aspects of software development life cycle and quality control practices. • Ability to define and solve logical problems for highly technical applications. • Strong communication skills with both technical and non-technical clients. • Demonstrated experience leading activities on structured team development projects. • Ability to select, adapt, and effectively use a variety of programming methods. • Ability to recognize and recommend needed changes in user and/or operations procedures. PHYSICAL REQUIREMENTS : • Constantly perform desk-based computer tasks. • Frequently sit, grasp lightly/fine manipulation. • Occasionally stand/walk, writing by hand. • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • May work extended hours, evening and weekends. • Travel on campus to schools/units. The expected pay range for this position is $169,728 to $194,585 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. WORK STANDARDS (from JDL) • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Additional Information Schedule: Full-time Job Code: 4823 Employee Status: Regular Grade: L Requisition ID: 107317 Work Arrangement : Hybrid Eligible

Job Title: Postdoctoral Fellow in Information Technology Management (ITM) Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 293201 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. About Scheller College of Business The Scheller College of Business' Full-time MBA Program is ranked among public universities by Bloomberg BusinessWeek (2021) and U.S. News & World Report (2023). Georgia Tech is one of the nation's leading research universities and consistently ranks among the top public universities in the country. Atlanta is the 9th largest metropolitan area in the U.S. and serves as a cultural and economic hub for the region. Job Summary The Scheller College of Business at the Georgia Institute of Technology in Atlanta, Georgia, seeks applications for a research-focused Postdoctoral Fellow in Information Technology Management (ITM). The initial appointment is for one year and may be renewed for up to two years, depending on satisfactory performance. The postdoc can begin as soon as January 2026 or as late as August 2026 we are happy to accommodate the timeline that works best for the selected candidate. The role involves close collaboration with the ITM area faculty on mutually selected research projects. Two preferred areas of focus for our group are: Studying the application of LLMs in online multisided platforms, such as the design and optimization of LLM-powered advertising mechanisms, and strategic interaction between platform participants. We are particularly interested in how LLMs influence user engagement, attention allocation, and economic outcomes on digital platforms, including auction-based advertising markets and dynamic information environments. Developing economic frameworks for data valuation and privacy in business applications, including topics such as federated learning, copyright-preserving generative models, data marketplace pricing, and incentive-compatible privacy mechanisms. This line of research aims to connect information economics, machine learning algorithms, and market design, to address practical concerns in decentralized data governance, trustworthy machine learning, and platform strategy. Responsibilities Responsibilities for this position include : Work on high-impact research projects, from conceptualization, data collection, and data analysis to manuscript preparation and publication.Teach one 3-credit course each year.Perform related services based on the needs of the ITM areaRequired Qualifications A Ph.D. or equivalent degree in information systems, economics, management science, computer science, statistics, operations, or other related quantitative and/or social science domains The degree must completed by the position start date. For example, ABD (All but dissertation) candidates must have successfully defended their dissertation no later than July 1, 2026 for an August 1, 2026 start date. Strong analytical, quantitative, and communication skills. Preferred Qualifications Knowledge in machine learning, generative models and LLM.Knowledge in data privacy technologies, including but not limited to federated learning, differential privacy, copyright preserving technologies in generative models.Knowledge in microeconomic theory, including but not limited to mechanism design, auction theory, game theoryPrior teaching experienceRequired Documents to Attach Applicants should submit: A cover letter (please discuss research themes or topics that you'd like to pursue and any relevant research or industry experience) Your CV Names and contact information of three references as a single pdf file, and One published or working paper. Review of applications will begin immediately and continue until the position is filled. To receive full consideration, please submit your application no later than 2026-03-01. The selection process for the chosen candidates will include passing a pre-employment background screening, submission of transcripts, as well as other pre-employment documents once top candidates have been identified. Questions can be sent to addressing Professor Mingxi Zhu or Professor Lizhen Xu Knowledge, Skills, & Abilities We welcome candidates with strong skills in areas including, but not limited to, analytical modeling; economic theory (such as game theory, mechanism design, and information design); and machine learning (including algorithm design, analysis, and generative models such as large language models). While a background in information systems is preferred, we also encourage applicants from related fields such as economics, computer science, operations research, and statistics. We are particularly interested in scholars who can integrate economic theory with computational approaches to address key challenges at the intersection of artificial intelligence, digital markets, and information technologies. USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment . click apply for full job details

The Johns Hopkins Data Science and AI Institute (DSAI) is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Safety & Assurance, and Discovery & Inquiry. DSAI seeks a Scientific Software Engineer with a strong academic backgrounds and relevant experience in industry. The successful candidates will work at the cutting edge of modern science within the new Scientific Software Engineering Center (SSEC) at Johns Hopkins University (JHU). The Center is part of the Virtual Institute for Scientific Software (VISS), launched by Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt. VISS will address the growing demand for high-quality professional software engineers who can build dynamic, scalable, open software to facilitate accelerated scientific discovery across fields. (See for more information on the VISS.) The SSEC will be hosted by the Institute of Data Intensive Engineering and Science (IDIES) at JHU within DSAI, a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. The SSEC engineers will be at the forefront of modern data intensive science, where high-level software is rapidly becoming the key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel. JHU has long been a world leader in the broader domains of medicine and public health as well as a wide range of science and engineering fields. This combined with our ethos of building out capabilities to have demonstrable global impact (e.g., JHUs Coronavirus Resource Center the award-winning global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage points that will make the Center successful. Specific Duties & Responsibilities The successful candidates will be given a choice of ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations. The projects may require the creation of AI/ML solutions using the latest DNN libraries trained on state-of-the-art hardware. Projects may also involve analysis of massive data sets either in the cloud or on premises. They may require creation of software pipelines for processing of real-time high-frequency data processing workflows and may need the design of complex database models for storing and disseminating scientific data sets. Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement. They may require software solutions developed from scratch or refactoring existing solutions to make them conform to industry standards (quality, reusability, robustness, portability, documentation, etc.). It is a high-level goal of the SSEC to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects. Minimum Qualifications Masters in a Quantitative Discipline, e.g., Computer Science, Engineering, Astrophysics, Bioinformatics with strong scientific computing and/or mathematics background. Three (3) years or more experience working in software development and/or data science in large projects in industry. Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications PhD in a quantitative discipline. Five years or more experience working in software development and/or data science in industry. Experience with articulating and translating business/application questions and translating these into software and statistical techniques to arrive at an answer using available data. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. Demonstrated skills in selecting the right tools given a data analysis problem. Effective written and verbal communication skills. Classified Title: Scientific Software Engineer Role/Level/Range: APPTSTAF/01/ST Starting Salary Range: Commensurate w/exp.) Employee group: Full Time Schedule: 37.5 hrs/wk, M-F FLSA Status: Exempt Location: Hybrid/Homewood Campus Department name: DSAI Institute Personnel area: Whiting School of Engineering Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function. Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion . 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. EEO is the Law Accommodation Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit . Vaccine Requirements Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing . click apply for full job details

Senior Data Scientist, Wharton Graduate Division University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation. Job Description Duties Lead development and ownership of Course Match Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. Algorithmic and performance refinement Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. Internal and external collaboration and system integration Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. Data science project contributions beyond Course Match Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. Infrastructure development and automation Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired . click apply for full job details

ASSISTANT/ASSOCIATE/FULL PROFESSOR - Privacy and Cybersecurity Job No: 537322 Work Type: Full Time Location: Jacksonville Campus Categories: Education/Training/Instructional Design, Computer Science, Engineering Department: - EG-ONLINE LEARNING INSTITUTE Job Description Classification Title: AST/ASO/FULL PROF Classification Minimum Requirements: Ph.D. degree in Computer Science/Engineering, or a closely related discipline. Job Description: The Herbert Wertheim College of Engineering at the University of Florida (UF) invites applications for a full-time, 9-month, tenure-track, or tenured faculty position at the Assistant, or Associate Professor level in the Department of Computer and Information Science and Engineering (CISE). We seek applicants with expertise in Privacy and Cybersecurity. Ideal candidates will have experience developing privacy and cybersecurity models and systems for AI applications in specific domains, such as manufacturing, human and healthcare systems, public health, energy, transportation, and supply chain and logistics. This position is in Jacksonville and will support the CISE operations on the Jacksonville campus of the University of Florida. While the main UF campus is in Gainesville FL, the UF Jacksonville campus is 2 hours away. The UF Jacksonville campus is a new expansion of the UF main campus opening Fall 2026, with immense potential and opportunities to expand existing education and research programs, establish innovative culture and foster industry relationships. This position will also engage prospective and current students in recruiting, orientation, graduation, networking, and other events and represent the CISE department in various functions in the Jacksonville area community. The position has an anticipated start date between May and August 2026. Successful candidates will be expected to develop a high-quality publication record at UF, supervise Ph.D. students, teach both undergraduate and graduate courses in CISE, and contribute to the Department's service activities. A strong motivation for developing an externally funded research program is essential. Applicants at the Associate Professor level must demonstrate strong records of scholarship, external funding, and service. The Department of Computer & Information Science & Engineering at the University of Florida has over 50 faculty members, and provides an integrated computer science and engineering education that addresses a wide spectrum of computing areas, including: AI/machine learning, algorithms, bioinformatics, computational complexity, compilers, computer architecture, computer networks, cybersecurity, databases, human-centered computing, operating systems, programming languages, software engineering. CISE has a student population of approximately 4,400, with nearly 160 in the Ph.D. program. Based on historical trends and current forecasts, significant and continued growth is expected. More information about the Department can be found at . Located in Northeast Florida, Jacksonville is a vibrant and rapidly growing city that combines urban energy with coastal charm. With a strong and diversified economy, including major sectors like healthcare, finance, logistics, and advanced manufacturing, Jacksonville offers rich opportunities for academic-industry research collaborations. The city is home to leading healthcare systems, Fortune 500 companies, and innovative startups, creating a dynamic environment for interdisciplinary partnerships and translational research. Alongside its professional advantages, Jacksonville offers an exceptional quality of life, with scenic beaches, a thriving arts scene, and a welcoming community. Expected Salary: Salary is commensurate with education and experience Required Qualifications: Ph.D. degree in Computer Science/Engineering, or a closely related discipline. Preferred: Undergraduate degree in Computer Science/Engineering. Strong research record demonstrated excellence in teaching, and evidence of service, all appropriate to the applicant's rank. Special Instructions to Applicants: The search committee will begin reviewing applications immediately and will continue to receive applications until the position is filled To ensure full consideration, applications must be submitted by November 1, 2025 . You must apply by submitting an application through UF Careers via (Job 537322) . The application consists of attached PDF files of the following required documents: 1. Cover letter (summary and introduction; relate to hiring emphasis areas) 2. Curriculum vitae. 3. Research Statement. and Teaching Statement. 4. Names, addresses, phone numbers, and email addresses of three references. Additional documents should be uploaded as one PDF to the "other documents" selection in the application . For additional questions, contact Kevin Butler at . The University of Florida (UF) is the flagship campus of the State of Florida university system and is consistently ranked among the nation's top public universities. UF is home to HiPerGator , the fastest AI supercomputer in higher education, and the Herbert Wertheim College of Engineering is undergoing a major expansion in faculty, research, and facilities with a strong focus on artificial intelligence. In Fall 2023, UF opened Malachowsky Hall for Data Science & Information Technology , a 260,000-square-foot facility that serves as the hub for AI. For more information about college initiatives, visit eng.ufl.edu Additional Requirements The selected candidate must provide an official transcript to the hiring department upon hire. Transcripts marked "Issued to Student" will not be considered official. Degrees earned outside the United States must be evaluated by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES) . Additional Information The University and College count among its greatest strengths a community of faculty, students and staff who support a culture of respect and dignity where learning and research thrive. UF is committed to equal educational, opportunity and access. If you require a reasonable accommodation to apply, please call or the Florida Relay System at (TDD) . Employment is contingent upon eligibility to work in the United States. All searches are conducted in accordance with Florida's Sunshine Law . The University of Florida is an equal opportunity employer. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Health Assessment Required: No Applications Close: To apply, visit Our Commitment: The University of Florida is an Equal Employment Opportunity Employer. Hiring is contingent on eligibility to work in the U.S. The University of Florida is a public institution and is subject to all requirements under Florida Sunshine and Public Record laws. If an accommodation due to a disability is needed to apply for this position, please call 352-392- 2477 or the Florida Relay System at (TDD) or visit Accessibility at UF. Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-e6312e5b3dc41f4d9dc0a5e0bc8c0538

Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details

Lead Data Analyst Brown University To view the full job posting and apply for this position, go to: Job Description: The Lead Data Analyst enhances the Advancement Division's ability to collect, analyze, and visually represent data to inform strategic decisions that drive engagement and philanthropic support for the University. Leveraging a wide range of demographic and behavioral data from internal and external sources, the incumbent will identify key trends and opportunities for growth through statistical analysis, modeling, and data visualization. Reporting to the Executive Director of Advancement Data Strategies and Marketing, this role will collaborate with colleagues across Advancement Marketing, Advancement Information Services, Data Management, and Research and Prospect Management. The position will also partner with the Office of Information Technology and the Data Science Institute on advanced machine learning projects that use historical behavioral data to predict outcomes and inform strategies to improve engagement and solicitation effectiveness. Additionally, the Lead Data Analyst will assist in building and maturing data analytics services within the Advancement Division. The incumbent will guide the team in establishing policies, developing protocols, and implementing best practices, ensuring continuous learning and application of emerging analytical and visualization techniques. Education and Experience Bachelor's degree with strong computational emphasis such as Computer Science, Engineering, Mathematics, Business Intelligence or related field required. Master's degree with strong computational emphasis preferred. Minimum of 5 years of relevant experience (data analytics, data science, mathematics, computer science, business intelligence) required. Job Competencies Proficiency in querying languages such as SQL for accessing, manipulating, and analyzing data from relational databases. Experience with programming languages such as Python, R, MATLAB, or C++ for data analysis, modeling, and automation. Experience using data visualization and business intelligence tools such as Power BI, Tableau, Dundas BI, or Jupyter. Familiarity with web analytics tools such as Google Analytics for tracking engagement, conversion, and behavioral trends. Demonstrated knowledge of statistical modeling and classical machine learning techniques (e.g., linear regression, logistic regression, decision trees). Understanding of relational databases, data warehouses, and data management principles. Awareness of emerging artificial intelligence (AI) applications and tools, with an interest in exploring their potential use in data analytics and predictive modeling. Ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders. Excellent analytical, problem-solving, and critical-thinking skills with strong attention to detail. Strong interpersonal, oral, and written communication skills. Proven ability to manage multiple projects and competing priorities in a fast-paced, collaborative environment. Versatile, enthusiastic, and committed to continuous learning and professional growth. Commitment to supporting a diverse and inclusive community. Background Check: All offers of employment are contingent upon a successful criminal background check and education verification satisfactory to Brown. Additional Information: Please submit a resume and cover letter when applying for this position. To learn about Brown University's benefits, please visit here for further information. Benefits of Working at Brown: Information on the Benefits of Working at Brown can be found here . Recruiting Start Date: 2025-12-10 Job Posting Title: Lead Data Analyst Department: Advancement Grade: Grade 11 Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time Scheduled Weekly Hours: 37.5 Position Work Location: Hybrid Submission Guidelines: Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. This position is not eligible for visa sponsorship. Still Have Questions? If you have any questions you may contact . Brown is an E-Verify Employer. EEO Statement: Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law. Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-6379c15f0db5288a1

Job Title: TEMP-Business Ops Support (Digital Accessibility Spec) Location: Atlanta, Georgia Regular/Temporary: Temporary Full/Part Time: Full-Time Job ID: 293682 About Us Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. Department Information The Center for Inclusive Design and Innovation (CIDI) was created by a merger of the Center for Assistive Technology and Environmental Access (CATEA) and AMAC Accessibility. CATEA grew out of collaborations in the late 1970s between Georgia Tech Industrial Design students and local disability groups. Their efforts led to the establishment of CATEA in 1980 by the Board of Regents. For more than 20 years, CATEA provided services for Georgia s Division of Vocational Rehabilitation, established the statewide TechKnowledge information clearinghouse on assistive technology, hosted various national resource centers on assistive technology for the workplace, provided accessibility audits for public facilities and information technology to comply with the Americans with Disabilities Act, and produced computer skill and adult education programs. By the early 2000s, CATEA had transformed from a service-oriented center into a full-fledged research center. Job Summary Provide professional services in support of unit management in field as specified in the particular job posting. Focus will be in a professional field such as Communications, Marketing, Customer Service, Academic Administration, Event Management, Procurement, etc. Specific duties will be determined based on assignment and unit needs. This position will interact on a consistent basis with: unit management and staffThis position typically will advise and counsel: unit management and staffThis position will supervise: NA Responsibilities Job Duty 1 - Perform duties related to professional field assignment. Job Duty 2 - Participate in reviews for compliance with policy and governmental regulations in the field. Job Duty 3 - Provide input to department policies and procedures. Job Duty 4 - May provide input to and administer project timelines and budgets. Job Duty 5 - May interact with vendors regarding procurement and delivery issues. Job Duty 6 - Perform other duties as assigned Responsibilities Job Specific Responsibilities: Use screen-reading software to evaluate the accessibility of digital content. Write clear and concise feedback about the accessibility of digital content in regard to WCAG 2.1 Level AA. Write and/or evaluate alternative text descriptions of images. Other duties as assigned. Required Qualifications Educational Requirements Bachelor's Degree in related field or equivalent combination of education and experience Other Required Qualifications Position requires the ability to pass a drug/alcohol pre-screening; may require working competently with dangerous materials and in a dangerous environment, such as around or on rotating machinery, live electrical circuits, hazardous materials, high-pressure liquids and gas, and bot surfaces. In addition, it may require lifting heavy objects of up to 75 pounds, and working in confined spaces, noisy environments, and elevated locations (such as climbing extension ladder and other types of ladders; or using scaffolding) either inside or outside of a building. During adverse weather, activities may require extensive after hours work or callback. This job may require wearing a full-face respirator in accordance with Georgia Tech campus policies and procedures. This job will require some evening hours and hours during peak times, as well as being a part of an on-duty rotation. Required Experience Up to two years of job related experience Preferred Qualifications One plus year experience and knowledge of evaluating the accessibility of content as well as the ability to make content accessible. Proposed Salary Proposed salary: $20/hour Number of Openings: 3 Knowledge, Skills, & Abilities SKILLS This job requires application of professional principles, processes and practices; application of regulations; utilization of basic and advanced computer applications including those specific to areas of responsibility; communication skills. Knowledge, Skills, & Abilities Additional KSAs: Experience using screen-reading software such as NVDA and JAWS. Knowledge of accessibility standards such as WCAG 2.1 Level AA. Exceptional writing skills. USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ( USG ) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual s race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. Other Information This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is not considered a position of trust click apply for full job details

ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term) School of Medicine, Stanford, California, United States Information Analytics Jun 03, 2025 Post Date 106579 Requisition University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions. About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data. About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs. The expected pay range for this position is $157,945 to $177,385 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : • Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Additional Information Schedule: Full-time Job Code: 4734 Employee Status: Fixed-Term Grade: K Requisition ID: 106579 Work Arrangement : Hybrid Eligible