5 jobs found

Driving Care Initiatives From designing and leading complex programs to analyzing and translating business capabilities into powerful solutions, your expertise helps shape the future of health care. Reporting and Analytics Manager - Burbank, California In this role, you will be responsible for leading and solving complex client analytics problems; managing the development of experimental design approaches; reviewing validity of information, how long information is meaningful and relation to other information; ensuring information is in compliance with regulatory and security policies; and qualifying where information can be stored or what information may be used in support of the use case. You will also be responsible for utilizing patterns and variations in the volume, speed, and other characteristics of data supporting an initiative, data type, and speed or sudden variations in data collection; managing and developing usage and access control policies and systems; and partnering with data stewards in continuous improvement processes impacting data quality to define data quality expectation for specific use case. In addition, you will ensure that the organization understands principles and math behind the process and manage on-going tracking and monitoring of performance of decision systems and statistical models. Qualifications Include: At least five years of content/functional experience, or a master’s degree and two years of experience At least two years of experience working with data visualization tools At least four years statistical analysis and modeling experience At least four years of programming experience At least four years of machine learning experience At least three years of experience in a leadership role with or without direct reports A bachelor’s degree in mathematics, statistics, engineering, social/physical/life science, business, or related field or four years of experience in a directly related field with a high school diploma or GED Preferred Qualifications Include: Eight years of experience managing data dictionary development, data modeling of reporting data mart, transformation of data from source to data mart Eight years of experience in design, development, defect fixes and deployment of reporting solutions in tableau Eight years of data analysis and SQL experience Four years of experience in managing resources who are directly reporting Two years of experience in Alteryx tool For immediate consideration, please click the "Apply Now" button on this page for complete qualifications and job submission details, referencing job number 826898. Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status. External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances. This position supports Kaiser Permanente’s code of conduct and compliance by adhering to all laws and regulations, accreditation and licensure requirements, and internal policies and procedures. KAISER PERMANENTE Discover what it’s like to be part of an industry-leading organization driving innovative care and technology. Get social with us and see what people are saying! kp.org/careers Glassdoor and LinkedIn: Kaiser Permanente Facebook: Kaiser Permanente Thrive Twitter: @KPCareers YouTube: Kaiser Permanente Careers

Biostatistician responsibilities include, but are not limited to, the following: Performs data analysis and statistical evaluations Collaborates with clinical and bioassay development teams to design studies, forms and analysis plans, performs sample/size/power calculations and stratification/randomization of studies, statistical programming, and report writing Ensures the statistical validity of study activities by solving problems occurring in the data collection process Recommends and carries out effective statistical methodology and strategies necessary for the creation, completion, and analysis of clinical or research project populations to be studied Recommends analytical design for a broad range of data and the most appropriate statistical procedures for evaluation of outcome of studies Uses a wide variety of statistical procedures including, but not limited to, categorical data analysis, exploratory and graphical methods, analysis of variance, correlation analysis, multiple linear regression, time series analysis, logistic regression, survival analysis, and statistics process control (SPC) The ideal candidate would possess: Knowledge of SAS, SATA, and R statistical software packages Experience with statistical methods including Monte Carlo simulation/modeling, categorical data analysis, exploratory and graphical methods, multivariate Gaussian distributions, analysis of variance, correlation analysis, and multiple linear regression Strong computer, scientific, and organizational skills Excellent communication (oral and written) and attention to detail Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude Basic Minimum Qualifications: Ph.D. in Statistics, Applied Statistics, Biostatistics, or similar field At least 2 years’ experience analyzing and interpreting biostatistical data Position is full-time, Monday-Friday, 8:30 a.m.-5 p.m., with overtime as needed.  Candidates currently living within a commutable distance of Melville, New York are encouraged to apply. As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work.  We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options.

Elgin Community College Elgin, IL Data Specialist - Institutional Advancement Elgin Community College serves over 9,000 students at every stage of their educational journeys, including university transfer programs, career and technical education, continuing education classes, and adult basic education. As a community, we pride ourselves on nurturing a welcoming campus where every person—students, staff members, faculty members, and campus visitors—feels valued. The work of each ECC employee is central to the college's mission, and as an employer, the college fosters a positive environment through professional challenges, excellent benefits, and opportunities for recognition and camaraderie. Job Summary: This position applies an advanced knowledge of research methodology and data collection techniques as a project leader and technical expert in conducting and analyzing difficult and complex institutional advancement projects. Essential Duties: Perform data evaluation and analysis projects for Institutional Advancement. Data visualization and reporting Survey development and administration Participation in College Committees/Activities Original Research and Development Other Duties Perform other job-related duties as assigned which pertain to the job description. Ability to work a flexible schedule which includes days/evenings/weekends as needed by the department. Requirements: Required Knowledge, Skills & Abilities: Bachelor's degree required in a related field. Two or more years of experience in data analysis with a non-profit. Proficiency with statistical software, such as SPSS or SAS. Experience using data visualization software, such as Tableau or PowerBI. Proficiency in Microsoft Office applications, especially Excel and Access Familiarity with the development, management, and use of relational databases and in querying, creating and maintaining working datasets from an ERP/student information system (e.g., Ellucian Colleague, Banner, etc.) Ability to independently manage and prioritize multiple projects and to meet deadlines Demonstrated experience presenting and discussing statistical analysis and research findings to a wide variety of audiences with varying levels of statistical understanding Ability to produce and communicate written information in a professional manner to a variety of audiences Excellent oral communication skills Desired Knowledge, Skills & Abilities: Master's degree preferred. Experience in data analysis with a non-profit in higher education preferred. Familiarity with CRM software preferred, especially Raiser's Edge. Syntax/programming experience with SPSS or SAS preferred. Elgin Community College is an Equal Employment, Equal Access Employer committed to increasing the diversity of our workforce

Responsibilities The professionals at the National Security Agency (NSA) have one common goal: to protect our nation. The mission requires a strong offense and a steadfast defense. The offense collects, processes, and disseminates intelligence information derived from foreign signals for intelligence and counterintelligence purposes. The defense prevents adversaries from gaining access to sensitive classified national security information. NSA is the nation's leader in providing foreign signals intelligence while also protecting U.S. government information systems, forging the frontier of communications, and data analysis. We serve the American people by applying technical skills to meaningful work, keeping our friends and families safe for generations to come. You will make a lasting impact serving your country as a Data Scientist at the National Security Agency, using your curiosity to analyze large data sets to inform decision-making against foreign threats. We are looking for critical thinkers, problem solvers, and motivated individuals who are enthusiastic about data and believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will employ your mathematical science, computer science, and quantitative analysis skills to ensure solutions to complex data problems and take full advantage of the NSA's software and hardware capabilities in all areas of our enterprise, including analytic capabilities, research, and foreign intelligence operations. Data Scientists are hired into positions directly supporting a technical mission office or the Data Scientist Development Program (DSDP). The NSA/CSS Data Scientist Development Program is a three-year opportunity to build your data science talent, experience the breadth of data science at NSA through six- to nine-month assignments in a variety of diverse organizations, and collaborate with NSA's experts in the field of data science. You will have opportunities to attend technical conferences with experts from industry and academia. You will routinely discuss and share NSA's challenges and successes at weekly technical roundtables. We foster an environment where you will develop your data science skills, allowing you to quickly contribute to NSA's mission. As a member of a technical mission office or the DSDP, Data Scientists tackle challenging real-world problems leveraging big data, high-performance computing, machine learning, and a breadth of other methodologies. As a Data Scientist at NSA, responsibilities may include: Collecting and combining data from multiple sources Uncovering and exploring anomalous data (including metadata) Applying the scientific process to data evaluation, performing statistical inference, and data mining Developing analytic plans, engineer supporting algorithms, and design and implement solutions which execute analytic plans. Designing and developing tools and techniques for analysis Analyzing data using mathematical/statistical methods Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership Creating interpretable visualizations Skills The ideal candidate is someone with a desire for continual learning and strong problem-solving, analytic and interpersonal skills. You might be a great fit for our team if any of the following describe you: Completed a degree program in the fields of mathematics, statistics, computer science, computational sciences, or a passion for rigorous analysis of data Tenacity, integrity, persistence, and willingness to learn Ability to solve complex problems Use critical thinking and reasoning to make analytic determinations Works effectively in a collaborative environment Strong communications skills to both technical and non-technical audiences The desire to serve over 300 million fellow Americans and make a difference in world events Pay, Benefits, & Work Schedule On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee. Monday - Friday, with basic 8 hr/day requirements between 0800 to 1800 (flexible) Position Summary NSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. If you want to develop technologies and tools and be a part of cutting edge innovations ' join our team of experts! Help protect national security interests as part of the world's most advanced team of computer science professionals! Qualifications Candidates for the NSA's Data Scientist roles are asked to complete a data science examination evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination is a requirement in order to be considered for selection into a data scientist position. Salary Range: $70,519 - $87,868 (Entry/Developmental) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree and no experience. An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note : A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Salary Range: $81,571 - $108,643 (Full Performance) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering. Salary Range: $99,172 - $152,352 (Senior) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering. Salary Range: $137,849 - $166,500 (Expert) *The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering. How To Apply - External To apply for this position, please click the 'Apply Now' button on this page to go to the posting, and click the 'Apply' button located at the top right of the posting. After completing the application for the first time, or reviewing previously entered information, and clicking the 'Submit' button, you will receive a confirmation email. Please ensure your spam filters are configured to accept emails from noreply@intelligencecareers.gov. ***PLEASE NOTE: U.S. Citizenship is required for all applicants. Reasonable accommodations provided to applicants with disabilities during the application and hiring process where appropriate. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. This position is a Defense Civilian Intelligence Personnel System (DCIPS) position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility. Please note that you may be asked a series of questions depending on the position you apply for. Your responses will be used as part of the screening process of your application and will assist in determining your eligibility for the position. Be sure to elaborate on experiences in your resume. Failure to provide the required information or providing inaccurate information will result in your application not being considered for this position. Only those applicants who meet the qualifications for the position will be contacted to begin employment processing. Please Note: Job Posting could close earlier than the closing date due to sufficient number of applicants or position no longer available. We encourage you to apply as soon as possible. DCIPS Disclaimer The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority.

Associate Provost for Institutional Research Harvard University Cambridge, Massachusetts Harvard University (Harvard) seeks applications and nominations for the position of Associate Provost for Institutional Research (Associate Provost). Reporting to the Deputy Provost, the Associate Provost leads a team of senior statisticians and analysts who will provide both external and internal reporting expertise for the University. As leader of Harvard’s Office of Institutional Research (OIR), the Associate Provost will serve as the central internal liaison for the office with other Harvard departments, provide evidence to the Office of the President and Provost (OPP) in support of strategic priorities, and provide analysis capacity to the broader Harvard University community on behalf of OPP. The Associate Provost will ensure ongoing review and shaping of the office’s policies and practices to reflect the changing needs of the department's core functions, and provide leadership for the office’s projects, programs, and reporting methodologies that support key stakeholders. Additionally, the Associate Provost will be the University’s key contact for and coordinator of the University’s accreditation process. The Associate Provost will focus attention on critical research and policy issues by setting the strategic direction and content for the office's projects, data governance policies, and communications; serving as the key contact for the office with other Harvard departments and leading meetings as the senior department leader; enhancing and extending the office's influence by providing strategic management of partnerships, research convenings, and events; representing the office at local and national conferences and on committees; supervising, coaching, and developing a team of analysts and interns; providing leadership to ensure Harvard’s delivery of accurate and timely reports to the Federal Government and to key data exchange organizations; presenting the work of the office to senior leadership and others within Harvard and to external peers; and in general, developing and implementing creative new ways to support and advance the office’s mission and functions to ensure that OIR’s work moves forward and is integrated into the larger priorities of the University. Since its founding in 1636, Harvard has been devoted to excellence in teaching, learning, and research, creating knowledge and developing leaders across a breadth of disciplines that make a difference globally. The University has twelve degree-granting schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. The University enrolls over 20,000 degree seeking candidates, including undergraduate, graduate, and professional students, and counts more than 360,000 alumni around the world. In 2018, Harvard inaugurated its 29th President, Dr. Lawrence S. Bacow. The ideal candidate will bring strong analytical skills and a sophisticated understanding of effective, rigorous institutional research in the current higher education context as well as a collaborative leadership style and the capacity to work and communicate productively with multiple stakeholders across diverse perspectives. The Associate Provost must be flexible, intellectually curious, and possess a strong commitment to customer service, while leading, managing, and developing both staff and processes to best meet the needs of a complex organization. TO APPLY Please click the "Apply Now" button on this page to begin the application process. Harvard University has retained the national executive search firm Isaacson, Miller to assist in this search. All inquiries, nominations, and applications should be sent in confidence to: Dan Rodas, Partner Carrie Alexander, Managing Associate Keith Mason, Associate Isaacson, Miller Boston, Massachusetts Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.