Data Scientist jobs at University of Maryland, Baltimore - 66 jobs

Physical Demands Sedentary work. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Minimum Qualifications Education: B.S. Degree in Computer Science or related field. Experience: 3+ years experience with design, development, and administration of data platform solutions. Experience writing ETL scripts and standalone applications in Python and/or Java. Knowledge, Skills, and Abilities: Expertise writing and tuning SQL queries. Experience deploying, configuring, maintaining, and upgrading production-level database servers and services. Strong communication skills.

**Dean of Research, Stanford, California, United States** Research Post Date Dec 13, 2024 Requisition # 105424 This is a 3-year fixed term appointment. **Stanford Data Science** This position is part of a new initiative incubated within Stanford Data Science, part of the Vice Provost for Research / Dean of Research. Stanford Data Science (SDS) is a dynamic and rapidly growing unit within the VP/Dean of Research. For more than five years, SDS has sought to advance data science and its application to all fields of study. Our community ranges broadly across all seven schools on campus, consisting of esteemed alumni, world class faculty, post-doctoral fellows and PhD students, dynamic staff and administrators. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish their mission conducting cutting-edge research and innovation around how we learn from data, the tools we use, and the new methods needed to tackle the data-intensive future. **POSITION SUMMARY** Stanford University has made a strategic investment in Marlowe, a GPU-centric high-performance computing instrument designed to enable large-scale, data-intensive research. Supporting a wide range of disciplines, Marlowe facilitates sophisticated machine learning applications, including large-language models. The Research Data Scientist will play a critical role in this initiative, leveraging their expertise in computational research to develop and optimize workflows and applications that unlock Marlowe's capabilities. This role requires a deep understanding of computational and data science, machine learning, and the scientific process. It also demands the ability to leverage high-performance GPU computing to efficiently process and analyze large datasets. The successful candidate will collaborate closely with Stanford faculty and research groups to design, implement, and refine GPU-accelerated data processing pipelines. They will also contribute to scientific codes using machine learning, statistical analysis, and computation to address complex research challenges. Additionally, the data scientist will contribute to the development of novel computational methods ranging from biological data analysis to simulation of physical systems via digital twins. Beyond technical expertise, the Research Data Scientist will act as a bridge between Marlowe and the broader research community. They will guide researchers in adapting their applications to Marlowe's GPU-powered infrastructure by providing technical consultation, creating training materials, and leading workshops. The ideal candidate will have a strong background in both data science and GPU-centric computational techniques, combined with a passion for fostering collaboration and pushing the boundaries of interdisciplinary research. This position offers an exceptional opportunity to drive transformational research and establish Marlowe as a cornerstone of Stanford's efforts in pioneering discovery. Remote work for the Research Data Scientist position will be considered. The Research Data Scientist may be asked to attend certain in-person work events during the year regardless of remote status. **CORE DUTIES** **:** **Code Architecture for GPU Computation** + Collaborate with Principal Investigators (PIs) and research groups to architect and optimize GPU-accelerated pipelines. + Develop innovative computational methodologies + Co-author resulting research publications. **Algorithm Development and Data Management** + Design advanced data movement strategies to minimize memory bottlenecks between CPU and GPU, including real-time data streaming methods for scientific applications. + Partner with research teams to design novel algorithms and develop high-quality, reusable software to accelerate complex research projects. **Research Support and Software Infrastructure** + Assist PIs in applying for supercomputing resources at national centers once projects are scaled and workloads are appropriate. Offer guidance on maximizing efficiency of large-scale computational experiments. + Install, configure, and maintain software stacks for core research functions. **Training and Mentorship** + Design and lead hands-on workshops, and interdisciplinary courses focused on GPU-centric research in fields such as computational biology, NLP and image analysis. + Mentor graduate students, postdocs and early-career researchers in computational techniques and research methodologies. **Open Science and Research Continuity** + Integrate open science principles into research workflows, including software for data and computational provenance. + Design systems to manage inputs, outputs, and provenance to meet NIH, NSF, and OSTP mandates. + Develop tools and workflows to ensure the long-term viability of code and tools used by students and postdocs for future research development. *Other duties as assigned. **DESIRED QUALIFICATIONS** **:** + Experience supervising technical staff including training, mentoring and coaching. + Experience developing and writing grant proposals. + A minimum of five years at an Academic Staff - Researcher rank or have equivalent experience + Extensive publication list including first author publications. **Education & Experience (Required)** : + Ph.D. in a computational or data-intensive related field or equivalent + Comfortable running and troubleshooting jobs in a batch scheduled environment + Considerable experience with Linux **Pay Range** **:** This role is open to candidates anywhere in the United States. Stanford University hasfive Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $142,000 to $200,000 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. _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ _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 by submitting 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._ Additional Information + **Schedule: Full-time** + **Job Code: 6446** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 105424** + **Work Arrangement : Hybrid Eligible, Remote Eligible, On Site**

Required Skills: Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience. • Python and object oriented programming• Analytic development within Linux environment• Experience with DataFrames (Pandas or Spark)• Understanding of data science concepts Desired Skills::• PySpark and/or distributed computing• Experience working in cloud environments (Azure, AWS) ** This position will have up to 60% telework.

Job DescriptionRequired Skills: Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience. • Python and object oriented programming• Analytic development within Linux environment• Experience with DataFrames (Pandas or Spark)• Understanding of data science concepts Desired Skills::• PySpark and/or distributed computing• Experience working in cloud environments (Azure, AWS) ** This position will have up to 60% telework. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Job Category: Academic Staff Employment Type: Regular Job Profile: Data Scientist I The Department of Radiology, University of Wisconsin - Madison, School of Medicine & Public Health is seeking a Radiology Informatics Data Scientist who will work under the direction of Dr. Pallavi Tiwari and will work closely with other staff, medical school groups, UW Health, and the Radiology Informatics team. The research conducted by Tiwari lab utilizes medical imaging and clinical data to build and optimize AI and machine learning models that identify computerized image-based phenotypes, and their associations with genomics and histo-pathology for disease characterization, with the aim of developing personalized diagnostic tools towards improved early diagnosis, prognosis, and response to treatment for neurological conditions and other diseases. The Radiology Informatics Data Scientist will be responsible for data cleaning and management, the development and maintenance of clinical research databases, helping develop and deploy novel imaging tools, and disseminating new knowledge through abstracts, posters, presentations, and manuscripts. They will also be involved in project monitoring and evaluation, data analysis, oversight of trainees, and dissemination of program results and will work closely with the PI, lab manager, and Department of Radiology's Informatics Analysts. ADDITIONAL JOB DETAILS: * This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location. * Multiple Titles: Data Scientist I, Data Scientist II, or Data Scientist III. Applicants for this position will be considered for the titles listed in this posting. The title is determined by the experience and qualifications of the finalist. * Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration; Professional and effective oral and written communications skills, and able to clearly relay information to faculty PI's and other researchers and prepare reports as needed; Effective data management and organizational skills, ability to train, work with, and elicit cooperation from team members with regards to data stewardship; Ability to problem-solve effectively, with ability to develop and implement alternative solutions as needed; Ability to learn and apply new ideas, techniques, processes, policies, functions, etc.; Highly motivated and a self-starter. Key Job Responsibilities: * Identifies, writes, or assists in developing grant opportunities, grant applications, and proposals to secure research funding * Organizes and automates project steps for data preparation and analysis * Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators * Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources * Documents approaches to address research questions * Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining * Conducts literature reviews, prepares reports and materials and, disseminates information to appropriate entities Department: School of Medicine and Public Health, Department of Radiology, Tiwari Research Lab Join UW Radiology and UW Health-A Legacy of Innovation The University of Wisconsin Department of Radiology, in partnership with UW Health, has been at the forefront of clinical care, imaging research, and education for nearly a century. Since its inception on May 18, 1927-when Dr. Ernst Pohle was appointed as the first professor of Radiology, the department has grown to more than 160 faculty members across 14 specialized sections, serving as a key pillar of UW Health's world-class medical enterprise. What Sets Us Apart * Collaborative Excellence: Strong partnerships with UW Health, Medical Physics, and leading equipment vendors drive continuous advancements in imaging. * Cutting-Edge Technology: We utilize state-of-the-art imaging in CT, MR, PET/CT, PET/MR, angiography, ultrasound, PACS, and AI-driven medical imaging. * Robust Research Infrastructure: Dedicated support for grant writing, media specialists, research nurses, technologists, and data managers enhance investigative success. * Premier Imaging Facilities: The WIMR Imaging Sciences Center offers 60,000 square feet of advanced imaging space, including MRI, PET/MRI, PET/CT, CT, ultrasound, angiography, cyclotron, radiopharmaceutical production and comprehensive small animal imaging technologies. Together, UW Radiology and UW Health are committed to advancing human health through groundbreaking clinical care, pioneering research, and excellence in education. We foster a respectful, adaptive, and accountable environment-one that prioritizes innovation while serving the needs of all patients, including underserved populations. Visit our official website to learn more about our work and opportunities. Compensation: The starting salary for the position is $65,000 annually; but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer Required Qualifications: * Experience working with medical imaging and/or electronic health record data, as well as understanding compliance requirements. * Experience in developing machine learning and/or deep learning models for medical imaging, genetic, and/or biological data. * At least 3 years of experience with programming languages (C++, Python, Matlab), including libraries like NumPy, SciPy, and scikit-learn. * Proficiency in Linux environment, including common commands and shell scripting. * Familiarity with medical imaging data and standards such as DICOM and HL7, as well as ensuring compliance. Preferred Qualifications: * Proficiency in database languages (SQL, NoSQL databases like MongoDB, graph databases). * Familiarity with data management and lifecycle platforms such as Flywheel, XNAT, or data versioning tools like DVC. * Previous grant writing experience; manuscript writing; program management and/or development experience. * Experience contributing to clinical research projects, including IRB protocols and clinical trials. * Knowledge of statistical analysis and data visualization tools (R, SAS, Matplotlib, Seaborn, Plotly). Education: Bachelor's Degree Required; focus in Physics, Biomedical Statistics, Computer Science or related field by application date. Terminal Degree Preferred; PhD in Medical Imaging, Physics, Biomedical Statistics, Computer Science, or related field by application date. How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as your web browser. To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials. Important: The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area. Upload required documents: * Cover letter * Resume Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes, and a candidate is selected. University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position, you must provide proof of work authorization and eligibility to work. The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees. Contact Information: Amanda Joncas, **************** Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website. To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

We are seeking a **_Data Scientist_** who will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks. **Specific Duties & Responsibilities** + Support the development of dashboards, calculations, and reports which may require programming. + Support the development and tuning of machine learning models, which may require programming. + Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance. + Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design. + Perform error analysis and suggest and implement improvements. + Other duties as assigned. **Minimum Qualifications** + Bachelor's Degree. + Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience. + 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. Classified Title: Data Scientist I Job Posting Title (Working Title): Data Scientist (Oncology) Role/Level/Range: ATP/04/PH Starting Salary Range: $99,800 -$175,000 Annually ($105,000 targeted; Commensurate w/exp.) Employee group: Full Time Schedule: Mon-Fri FLSA Status: Exempt Location: School of Medicine Campus Department name: SOM Onc Biostatistics Personnel area: School of Medicine 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.

We are seeking a Data Scientist who will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks. Specific Duties & Responsibilities * Support the development of dashboards, calculations, and reports which may require programming. * Support the development and tuning of machine learning models, which may require programming. * Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance. * Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design. * Perform error analysis and suggest and implement improvements. * Other duties as assigned. Minimum Qualifications * Bachelor's Degree. * Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience. * 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. Classified Title: Data Scientist I Job Posting Title (Working Title): Data Scientist (Oncology) Role/Level/Range: ATP/04/PH Starting Salary Range: $99,800 -$175,000 Annually ($105,000 targeted; Commensurate w/exp.) Employee group: Full Time Schedule: Mon-Fri FLSA Status: Exempt Location: School of Medicine Campus Department name: SOM Onc Biostatistics Personnel area: School of Medicine

NORC at the University of Chicago seeks a talented Senior Data Scientist I to join our Health Care Evaluation Research Department. The Senior Data Scientist I will play a strategic role in working with our research teams to produce valuable insights for our clients. This position supports the development of the strategy and vision for large data analysis projects; may manage both the activities and the work product of data analysts and/or data scientists; provide input and guidance to task leaders especially regarding data acquisition, questionnaire content, data analysis, and overall data dissemination; design, develop, and deploy algorithms, models, and work flows to discover valuable information in large volumes of data from various sources; bring structure to large data sets; evaluate the data, construct models, create business applications, and work closely with organizational leaders to provide input into strategic business implications for the organization. The Senior Data Scientist I work collaboratively with the project team. NORC recognizes that talented and skilled researchers live throughout the U.S. and actively supports remote work arrangements. As a condition of employment, all NORC employees and contractors - including those working remotely - must be fully vaccinated (as defined by current CDC guidance) against COVID-19. DEPARTMENT: Health Care Evaluation NORC's expertise and ongoing work in health care delivery and financing - including access to insurance, payment and delivery-system reform, benefit design, and quality measurement - advance stakeholders' understanding of policies and programs, facilitate implementation, and contribute to important improvements in cost and quality. NORC's expert staff has extensive knowledge of all aspects of health care delivery, from private marketplaces and employer-sponsored insurance to Medicare and Medicaid; from large health care systems to small clinics; and from the needs of children to those of older adults, people with disabilities, and ethnic and racial minorities. Our expert team includes social scientists that acquire, collect, and analyze data from health care organizations and patients; evaluators; health services researchers; health-policy analysts; and professionals with first-hand experience running and supporting health care programs. RESPONSIBILITIES: Work with terabytes of health and administrative data, and create analytic data products therefrom to support various healthcare research and technical assistance projects. Implement specifications for rigorous study designs, and measures of performance such as cost and quality, to evaluate the impact of health care programs and policies. Identify data from multiple sources, perform analysis and recommend applications to add value to project and corporate initiatives; Develops the platforms and tools to enhance the organization's analytic capabilities. Work closely with project leaders on implications of the data for processes and decisions. Recommend methodology for data management, merging, cleaning, transforming and harmonizing data. Using a degree of creativity and latitude, develop hypotheses, design experiments and test feasibility of proposed initiatives. Engage in business development activities including authoring various sections of technical proposals. Manage contracts and work closely with clients to ensure that contractual requirements (deliverables and timelines) and client expectations are met using the highest standards of quality and collegiality. Train and supervise staff on specific protocols and tasks. REQUIRED SKILLS: Bachelor's degree in Math, Statistics, Computer Science, Data Science, or Social Science related field. Masters Degree or higher strongly preferred. At least 6 years experience (at least 9 years experience if Bachelor's degree) in positions of increasing responsibility, working with large datasets and conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation. Experience working with health care datasets and working directly with federal or states health data. Working knowledge of different types of data and of the methodologies and technologies for integrating data. Strong data programming skills in statistical packages and database tools such as SAS, SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems. Strong technical writing skills, strong verbal skills; and data visualization/presentation. Ability to explain technology, techniques and approaches to others. Excellent oral and written communication skills and aptitude in leading and working with project teams, coordinating multiple projects. Strong problem solving skills, ability to organize and prioritize work assignments to meet project needs. Occasional travel to client sites and business meetings may be required. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics.

Are you searching for a place to build upon the foundation of your academic work? Would you like to find engaging work with an employer that prioritizes impact, innovation, and personal development? If so, we're looking for someone like you to join our team at APL! If you are graduating with a PhD in computer science, mathematics, engineering or a related field, we are looking for someone like you to assist us in tackling complex research, engineering, and analytical challenges that are critical to our nation. To address these emerging national challenges, we design and develop scalable software systems that leverage data science, visualization, large language models, and artificial intelligence across various domains, including social media analysis, healthcare, cybersecurity, and signal & image processing. As a member of our team you will... * Collaborate with dedicated colleagues in developing solutions that align with national priorities. * Dive into exciting projects and apply your skills in areas like Artificial Intelligence, Machine Learning, Data Science, Software Engineering, DevOps, Signal and Image Processing, and Mathematics. Qualifications You meet our minimum qualifications for the job if you... * Have a PhD in Computer Science, Mathematics, Engineering, or related technical field * Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you... * Have experience with modern UI frameworks such as react, vue, or angular * Have experience with Python, Java, or Javascript * Have experience with LLM engineering such as prompt design, retrieval-augmented generation (RAG), or agentic frameworks About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $105,000 Annually Maximum Rate $245,000 Annually

Are you searching for a place to build upon the foundation of your academic work? Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development? Are you looking for meaningful work in a driven intellectual environment? If so, we're looking for someone like you to join our team at APL! We are seeking recent PhD graduates to help us tackle the complex research, engineering, and analytical problems that present critical challenges to our nation. Our group is currently making critical contributions in, developing the first truly autonomous UAV, advancing research in computer vision and reasoning systems. We apply artificial intelligence (AI), reasoning, machine learning (ML) operations, data science, systems engineering, and more to solve urgent tactical problems. We support sponsors in defense, homeland security, and health care, conducting research to address critical challenges. As a member of our team you will... * Work with dedicated team members charged with developing and delivering solutions that support national priorities * Work within a team environment and apply your skills to projects and tasks in areas such as Machine Perception, Intelligent Systems, Reasoning for Autonomy, Software Engineering, ML Operations, and Data Science Qualifications You will meet the minimum qualifications for the job if you... * Possess a PhD in Computer Science, Mathematics, Engineering, or related technical field * Are able to obtain an Interim Secret clearance by your start date and can ultimately obtain a Top Secret level security clearance. If selected, a government security clearance investigation will need to be conducted and the requirements met for access to classified information. Eligibility requirements include U.S. citizenship. About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $105,000 Annually Maximum Rate $245,000 Annually

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Senior Data Scientist is a strong contributor to the Biometric Assumptions Team, which provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Senior Data Scientist will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: Ideally located in a hybrid work-arrangement in one of RGA's offices - St. Louis, USA or Toronto/Montreal offices, Canada or London, UK or in a fully remote work-arrangement. Responsibilities * Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. * Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. * Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. * Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards * Communicate with a variety of stakeholders at various levels of seniority * Offer risk management skills to any data processing or modeling exercise: * Understand business context & where material scope for error lies * Adhere to professional standards, best practices, and ethical guidelines * Understand the strengths and limitations of a modeling approach * Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in such as: * Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines * Stay abreast of new techniques, but focusing on practical applications * Liaise with RGA's data scientists across the globe about more sophisticated data science applications * Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements * Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field * 6+ years of experience developing statistical models (Regression, Decision Trees, Time Series, etc.) * Statistical programs/languages (R or Python) * Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) * Advanced predictive modeling skills: Tree-based models, GLMs, GAMs, etc.; Cross-Validation, Residuals and model diagnostics; Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) * Advanced exploratory data analysis skills - Plots and graphics (BI/ggplot) * Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques * Transform data to enhance its predictive value (feature engineering) * Advanced ability to translate business needs and problems into viable/accepted solutions * Advanced investigative, analytical, and problem-solving skills Preferred * Experience with longevity product design / pricing / experience studies / assumption development * Re/insurance industry experience * Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field * Actuarial designation (ASA/FSA; AIA/FIA) * 4 or more years of experience with statistical modeling for insurance * Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) * Basic data engineering capabilities (Python, Scala) * Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering * Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation LI-DL1 #LI-HYBRID What you can expect from RGA: * Gain valuable knowledge from and experience with diverse, caring colleagues around the world. * Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. * Join the bright and creative minds of RGA, and experience vast, endless career potential. We're excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience-without considering name, gender, or other personal details-and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you. Compensation Range: $123,500.00 - $184,050.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

(ID: 2025-1038) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Overview We are seeking a highly skilled and motivated Data Scientist II to support the development of scalable state-of-the-art systems that use artificial intelligence (AI) to empower scientists and physicians. This role will focus on using AI across multiple modalities (images, text, etc.) to accelerate the pace of scientific research. The successful candidate will collaborate with a multidisciplinary team of scientists, software engineers, and biologists to drive advancements in translational sciences. The ability to think critically and work independently as a part of a team is a must. A strong preference will be given to adata scientists with a background in the development of data pipelines, fundamental knowledge of large language model architectures, agents, and computer vision models. A background in biology and/or medicine is preferred. Responsibilities Develop, implement, and optimize LLMs and computer vision algorithms for processing and analyzing biomedical text and image data. Design and develop software tools and pipelines for automated image analysis, data integration, and visualization, leveraging machine learning and deep learning techniques. Collaborate with biologists and other researchers to understand their needs and translate them into technical solutions, incorporating state-of-the-art AI methodologies. Perform data mining, statistical analysis, and machine learning on large-scale biomedical imaging datasets to extract meaningful insights and improve predictive accuracy. Validate and benchmark AI-driven imaging algorithms and tools to ensure their accuracy, robustness, and scalability. Document software development processes, create user manuals, and provide training and support to end-users, particularly focusing on AI applications. Stay up-to-date with the latest advancements in AI, computer vision, biomedical imaging, computational biology, and data science, and apply this knowledge to improve existing tools and methodologies. Participate in interdisciplinary team meetings, present findings, and contribute to scientific publications and grant proposals, emphasizing AI and computer vision innovations. Identify and implement new AI technologies and frameworks to enhance the capabilities of biomedical imaging tools and methodologies. Knowledge of code packaging, containerization technologies, and continuous integration pipelines. DevOps experience with Kubernetes and workflow automation is a plus. Qualifications Ph.D. or Master's degree in Data Science, Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Proven experience in biomedical imaging analysis, AI, and computer vision, preferably in HTS and HCS contexts. Strong programming skills in languages such as Python. C++ and Rust is a plus. Well versed with AI and machine learning frameworks and libraries such as TensorFlow, PyTorch, PydanticAI, and LLM observability. Experience with image analysis software and libraries such as ImageJ, CellProfiler, OpenCV, or similar. Knowledge of statistical analysis and data visualization techniques. Familiarity with high-performance computing and cloud-based data processing environments. Excellent problem-solving skills and the ability to work both independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical audiences. Experience in developing AI-driven software tools for biomedical research. Experience with version control systems such as Git. Experience with workflow automation tools. Previous experience working in a collaborative, interdisciplinary research environment. Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or . This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: ******************** This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. #IND Salary Range$115,000-$130,000 USD

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Senior Data Scientist is a strong contributor to the Biometric Assumptions Team, which provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Senior Data Scientist will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: Ideally located in a hybrid work-arrangement in one of RGA's offices - St. Louis, USA or Toronto/Montreal offices, Canada or London, UK or in a fully remote work-arrangement. Responsibilities * Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. * Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. * Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. * Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards * Communicate with a variety of stakeholders at various levels of seniority * Offer risk management skills to any data processing or modeling exercise: * Understand business context & where material scope for error lies * Adhere to professional standards, best practices, and ethical guidelines * Understand the strengths and limitations of a modeling approach * Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in such as: * Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines * Stay abreast of new techniques, but focusing on practical applications * Liaise with RGA's data scientists across the globe about more sophisticated data science applications * Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements * Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field * 6+ years of experience developing statistical models (Regression, Decision Trees, Time Series, etc.) * Statistical programs/languages (R or Python) * Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) * Advanced predictive modeling skills: Tree-based models, GLMs, GAMs, etc.; Cross-Validation, Residuals and model diagnostics; Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) * Advanced exploratory data analysis skills - Plots and graphics (BI/ggplot) * Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques * Transform data to enhance its predictive value (feature engineering) * Advanced ability to translate business needs and problems into viable/accepted solutions * Advanced investigative, analytical, and problem-solving skills Preferred * Experience with longevity product design / pricing / experience studies / assumption development * Re/insurance industry experience * Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field * Actuarial designation (ASA/FSA; AIA/FIA) * 4 or more years of experience with statistical modeling for insurance * Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) * Basic data engineering capabilities (Python, Scala) * Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering * Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation LI-DL1 #LI-HYBRID What you can expect from RGA: * Gain valuable knowledge from and experience with diverse, caring colleagues around the world. * Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. * Join the bright and creative minds of RGA, and experience vast, endless career potential. We're excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience-without considering name, gender, or other personal details-and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you. Compensation Range: $123,500.00 - $184,050.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

Data Migration Consultant The Data Migration Conversion Consultant is a work from home anywhere position. Responsibilities include working with clients, team members & consultants to define, document, design, develop, test and execute legacy ERP data migrations, restructurings and merges. In addition, you will apply Full Sail Partners' Consulting project and consulting methodology. Within areas of assigned responsibility, our consultants apply analytical and technical thinking to resolve routine client issues and challenges, identify alternatives, provide recommendations, research data migration and integration issues, and provide detailed support and recommendations. Specific tasks may include source system data extraction, entity transformation, attribute translation, data validation and reconciliation, data loading, conversion testing. Conversion and load tools may include target system load utilities, consulting team tools & scripts, RDBMS system utilities, & 3rd party ETL tools. Functional experience with ERP edge concepts is required, full ERP/Accounting exposure preferred, project accounting familiarity is a bonus. Technical skill requirements include RDBMSs SQL, T-SQL, ETL processes, and familiarity with XML. Additionally, core understanding of functionality and ETL processes SQL Server, MS Access, MS Excel, SSMS or similar tools. Role and Responsibilities Utilize analytical and data services knowledge to assist companies with implementing accounting and business management technologies as well as improving their business processes Develop data migration solutions for professional services firms such as architecture, engineering, management consulting and IT Lead client facing data migration meetings Work closely with our team of application consultants and clients to create custom solutions for our clients Proactively communicate with clients and the application implementation team to achieve exceptional client satisfaction Document implementation and system related issues and participate in the collaborative resolution of these issues Understand and follow the project plan for client implementations (timeline, budget, schedule, statement of work, training plan, etc.) Qualifications Experience with relational databases (tables, view, queries, T-SQL and stored procedures) Experience with ERP systems Experience with Data Migration, merges of information as it relates to information systems Excellent communications skills, both written and verbal with the ability to interact at all levels of the organization Education, Experience and Skills Junior Level with 1-3 years of experience in SQL data management Bachelor's degree or higher in Computer Science or related discipline MS SQL T-SQL Development Preferred skills Experience in a consulting/customer advisory-type position Knowledge of Deltek Vision or Vantagepoint databases Knowledge of accounting processing a plus Familiar with QuickBooks, Ajera, Unanet (Infocus/Clearview) databases a plus SQL Server RDBMS development ETL tool development ERP application implementation and go-live experience Project planning and management capabilities

Seeking Adjunct Professors to teach graduate courses in data science, analytics, machine learning, and related tools at Saint Peter's. About Saint Peter's University Saint Peter's is one of 27 Jesuit colleges and universities in the United States. Established in 1872, the University blends a unique learning experience shaped by rigorous academics, internships that provide real-world experience, community service, and a genuine, caring community that supports alumni long after graduation. Saint Peter's offers more than 50 undergraduate majors as well as master's level and doctorate programs Saint Peter's University is committed to helping students achieve success not only with their academics, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners: professionals who are actively and successfully engaged in their field who additionally wish to help the next generation of professionals grow in their knowledge and expertise through education. Duties: Teaching graduate students in a specific field of expertise on a part-time basis in the following areas: • Big Data and Data Management • Data Mining • Machine Learning • Data Visualization • SQL • Predictive Analytics and Financial Modeling • Knowledge of Python and SAS • Tableau, IBM Watson and Excel preferred • Supervision of Capstone Consulting Engagement Adjunct Rate: $750 - $1,000 per credit hour Qualifications Qualification Standards: Actively engage students through frequent interaction that motivates them to succeed, and conveys a genuine energy and enthusiasm for their learning Guide students in active collaboration and the application of their learning in problem- and project-based learning demonstrations. Provide rich and regular constructive feedback, utilizing rubrics effectively for the assessment of student work, and acknowledging student accomplishments. Demonstrate relevant and current subject-matter expertise, and help students connect concepts across their academic program. Provide feedback to your program chair on possible curricular improvements. Developing and managing the class syllabus and ensuring that the syllabus meets department and college standards Planning and creating lectures, for both online and in-class discussions and assignments Grading assigned papers, quizzes and exams Assessing grades for students based on participation, performance in class, assignments, and examinations Advising students on how to be successful in class Staying updated on innovations and changes within their course field Education: A terminal degree (i.e., PhD, DBA, etc.) is preferred from an accredited institution of higher learning related to Data Science/Business Analytics, and a Master's is required. Experience: Professional experience in industry. Higher Education teaching experience preferred.

Serve as member of Advanced Data Science group to support UMMS's strategic priority to become a data-driven and outcomes-oriented organization. Principal responsibilities and tasks include: * Support analytic efforts designed around the organization's strategic priorities and clinical/business problems, including operations, supply chain, human resources, and finance. * Develop predictive (machine learning and deep learning approaches/algorithms) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization's clinical, operations and business initiatives and priorities. * Formulate and solve complex mathematical optimization problems using exact and heuristic approaches. * Perform exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA). * Design and prototype new application functionality for products. * Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems. * Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings. * Perform statistical analysis to evaluate primary and secondary objectives from such pilots. * Support development of strategic, tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization. * Build and extend analytics portfolio supported by robust documentation. * Work in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. * Assist leadership with strategies for scaling successful projects across the organization, and enhance the analytics applications based on feedback from end-users and clinical/business consumers. * Assist leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. * Work with autonomy to find solutions to complex problems using open source tools and in-house development. * Stay abreast of state-of-the-art literature in the fields of machine learning/AI, operations research, statistical modeling, statistical process control and mathematical optimization. * Up to 5% domestic travel. Company Description The University of Maryland Medical System (UMMS) is an academic private health system, focused on delivering compassionate, high quality care and putting discovery and innovation into practice at the bedside. Partnering with the University of Maryland School of Medicine, University of Maryland School of Nursing and University of Maryland, Baltimore who educate the state's future health care professionals, UMMS is an integrated network of care, delivering 25 percent of all hospital care in urban, suburban and rural communities across the state of Maryland. UMMS puts academic medicine within reach through primary and specialty care delivered at 11 hospitals, including the flagship University of Maryland Medical Center, the System's anchor institution in downtown Baltimore, as well as through a network of University of Maryland Urgent Care centers and more than 150 other locations in 13 counties. For more information, visit ************* Qualifications Minimum Requirements * Master's degree in Applied Mathematics, Data Science, Physics, Industrial Engineering, Computer Science, Statistics, Economics or a related field. * Two (2) years of relevant work experience to include: * Machine Learning/AI, Statistics or Operations Research. * Programming with SQL, Python and R. * Machine learning/AI problems, or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation, or performing advanced statistical analysis. * Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to, data from electronic medical record, financial management, human resources, quality and supply chain). * Developing and deploying healthcare-relevant predictive and prescriptive models. * Combining analytic methods and advanced data visualizations. Compensation: $125,000 to $145,000 per year Benefits: Health, vision, dental, and life insurance, 403(b) retirement plan, paid time off, educational assistance, employee assistance program, and employee discounts. Additional Information .Like many employers, UMMS is being targeted by cybercriminals impersonating our recruiters and offering fake job opportunities. We will never ask for banking details, personal identification, or payment via email or text. If you suspect fraud, please contact us at ****************.

Are you excited about applying your knowledge, skills and talents in solving some of the most complex problems encountered in defending our nation? Would you like to contribute to the evolution of signal processing and data fusion algorithms, enabling our nation to far out-pace our adversaries as they seek to evade detection? If so, you may be interested in joining our team of engineers, physicists, mathematicians and computer scientists in the development of the world's most capable sensor systems ensuring our nation's security. Our highly collaborative, multi-disciplinary team, engages in the following… * Application and analysis of novel signal and data processing algorithms for detection, tracking and characterization of sophisticated threats * Development, application, and analysis of advanced algorithms that intelligently fuse active, passive, multi-band and multi-static sensor data * Optimization of multi-sensor architectures by defining the sensor integration, tasking, and coordination required to obtain high-quality fused multi-domain (air, sea, land, and space) targeting information from multi-spectral and multi-mode sensor capabilities * Application of artificial intelligence and machine learning in sensing and in analysis of sensor data * Application of data science and statistical analysis to large, multi-dimensional datasets * Analysis and development of sensor signal processing, tracking, and data fusion algorithms using complex simulations of integrated sensor architectures in a high-performance computing environment Qualifications You meet our minimum qualifications for a position on our team if you… * Have a BS in Engineering, Math, Physics or a technical discipline related to the items described above * Strong analytical and communication skills * Excitement and capacity to learn the data fusion and tracking domain * Can collaborate effectively with colleagues of varying experience levels * Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you… * Have a MS in Engineering, Math, Physics or a technical discipline related to the items described above * Intern experience related to the items described above About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $85,000 Annually Maximum Rate $165,000 Annually

About Us Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust. The Role We are seeking a Staff Data Engineer with deep expertise in PySpark to join our data team. This is a hands-on technical role for someone passionate about building scalable data systems, mentoring engineers and shaping data strategy. You'll architect systems that power high performance batch and real time data processing, enable advanced analytics and accelerate our AI initiatives. Key Responsibilities Design and evolve scalable, distributed data infrastructure across cloud platforms Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads Develop and manage integrations with third party e-commerce platforms to expand our data ecosystem Ensure data availability, reliability and quality through monitoring and automated auditing Partner with engineering, AI and product teams on data solutions for business critical needs Mentor and support data engineers, establishing best practices and code quality standards You 5+ years of software development and data engineering experience with demonstrated ownership of production grade data infrastructure Bachelor's degree in Computer Science or a related field, or equivalent practical experience. Deep expertise scaling Spark in production (Databricks, EMR, etc) Strong understanding of distributed computing and modern data modeling for scalable systems Proficient in Python with experience implementing software engineering best practices Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases Strong communicator with experience influencing cross functional stakeholders Nice to Have Experience working in early-stage, high-growth environments Familiarity with MLOps pipelines and integrating ML models into data workflows. Passionate about problem-solving with a proactive approach to finding innovative solutions. Compensation & Benefits The expected base salary range for this role is $208,000 - $235,000 USD, and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities. In addition to base salary, Wizard offers: Equity in the form of stock options Medical, dental, and vision coverage 401(k) plan Flexible PTO and company holidays Fully remote work within the United States Periodic company-wide offsites and team gatherings Wizard is committed to fair, transparent, and competitive compensation practices.

Minimum Qualifications Education: PhD or Master's Degree. Experience: Experience in app development (React Native, NativeScript) including UI and production. Minimum of 3 years of experience post-training. Experience in database management. Experience in building data platforms. Experience in machine learning. Knowledge, Skills, and Abilities: Familiarity with a variety of programming languages such as Python, SQL , C++, and/or JavaScript, Swift, Kotlin to write code. Expertise in SAS , R, Stata, and other statistical software.