Principal Biostatistician remote jobs - 473 jobs

Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today. Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest's headquarters are located in Markham (Greater Toronto Area), Ontario, Canada with additional sites in Bridgewater (Greater New York City Area), New Jersey, USA, Shanghai (Pudong Zhangjiang New District), China and Taipei, Taiwan. Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients' needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success. Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that's us…that's Everest. To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Principal Biostatisticians for our Bridgewater, New Jersey, USA on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy. Key Accountabilities: Work with a leader of the Statistical Operations management team to manage clinical trial programs/projects from one or multiple clients. Provide day to day technical and operational leadership to project teams supporting these programs/projects. Provide statistical oversight on projects in the assigned drug development programs/projects, ensuring sound statistical methodologies in study design, sample size estimation, statistical analysis planning, statistical modeling, data handling, analysis, and reporting. Coach, mentor, develop, and provide technical review, advice and expertise to less experienced Biostatisticians as well as Statistical Programmers assigned to the program/projects. Provide statistical input in protocol design and development. Participate in the writing of trial protocols and research proposals. Serve as a primary biostatistician, working effectively with interdisciplinary teams to contribute strategically (through innovative ideas or applications) to drug development and commercialization at the study and drug compound/therapeutic areas levels. Review and provide input to clinical data management deliverables, including but are not limited to the following: eCRFs, eCRF Completion Instructions, data validation specifications, Data Review Plan (and the ongoing data review tables, listings, and figures in accordance with the Plan), and Data Management Plan. Write Statistical Analysis Plans, Statistical Reports, and statistical methodologies sections of Clinical Study Reports. Perform peer review of SAPs and other technical documents written by others. Perform hands on statistical analysis and modeling, and maintains expertise in state-of-the-art statistical methodology and regulatory requirements. Validate core statistical tables, listings, and figures programmed by statistical programmers and/or biostatisticians, ensuring that core results for each responsible trial are complete and accurate. Perform overall Quality Control review on statistical deliverables before they are released to the clients. Review and confirm ADaM dataset specifications. Perform quality control activities on ADaM datasets programmed by other statistical programmers and biostatisticians. Provide statistical consultation to medical and clinical trial personnel for the publication of trial results, and participate in the writing of abstracts, manuscripts, posters, and presentations. Ensure all study level as well as drug program level statistical and programming activities are conducted in compliance with relevant regulatory requirements and applicable standards/conventions. Interact with regulatory agencies and support sponsor in new drug application. This includes participating as a statistical liaison to the regulatory agency on behalf of the sponsor company and ensuring documentation, statistical results, and study datasets meet the regulatory agency's requirement/expectation (e.g., CDISC). Perform statistical and programming resource management, capacity analysis, benchmarking and metrics. Participate in the continuous improvement and maintenance of statistical and programming governing documents. Contribute to organization development and growth by participating in the interview and evaluation process for professional applicants. Qualifications and Experience: A Ph.D. degree in statistical science, mathematical analysis or related fields with at least 7 years of relevant experience or a Master's degree in these fields with at least 10 years of relevant experience, with demonstrated exceptional ability and performance. To find out more about Everest Clinical Research and to review other opportunities, please visit our website at ***************** Estimated Salary Range: $140,000 - $175,000. We thank all interested applicants, however, only those selected for an interview will be contacted. Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process. #LI-Remote #LI-TK1 #INDHP

General SummaryUnder general supervision of the Statistics Project Manager or higher, the Senior Statistician will perform methodology research and provide statistical expertise for the design, analysis, and reporting for assigned clinical studies. The Senior Statistician will conduct independent consultation across functional teams as needed. The incumbent may participate in planning meetings with strategic teams for purposes of identifying and communicating necessary statistical approaches to meet research and clinical trial objectives. The Senior Statistician will liaise with medical writers and study investigators in preparing research manuscripts for publication. Specific Duties and Responsibilities•Develops statistical methods and other relevant sections of major deliverables such as protocols, analysis plans, study reports and scientific publications. Prepare key sections of clinical study reports and various regulatory documents.* •Responsible for sample size estimation and justification.*•Responsible for randomization specifications using standard methodology. Develops complex randomization specifications with supervision.*•Works with external vendors to effectively implement the randomization schedule.•Support submission activities and documents, provide input on responses to regulatory authorities and other device development activities, as required. •Contribute to decision making on CRF data collection to ensure alignment with protocol objectives and statistical analyses defined in the protocol. •Actively participates in meetings to identify data collection instruments and database design requirements.•Author statistical analysis plans, including interim analysis and stopping rules, ensuring statistical methods and corresponding details are consistent with the study design, and sufficiently detailed for programming implementation including development of table and listing shells. Coordinate statistical analysis plans written by contractor or junior statisticians.*•Explain statistical concepts to non-statisticians to enhance their understanding of the analysis approach. Clearly communicate fundamental statistical concepts to statisticians and other personnel.•Summarizes and presents results (verbal and written) clearly, including creating reports for the Data Monitoring Committee to review patient accrual, overall study progress, treatment efficacy, and patient safety data.•Independently identifies issues arising in the design, conduct or analysis of clinical trials and proposes alternative analysis strategies or other recommendations to address these issues.•Uses statistical and medical understanding to propose and perform additional analyses appropriately.•Works collaboratively with multi-function teams to complete project deliverables per agreed timelines.•Ensures accuracy and internal consistency of report or publication, including text, tables, listings, and figures. Performs statistical QC for protocol, analysis plan, study report, and other major deliverables, including abstracts, oral and poster presentations and publications.* •Collaborates in publication of scientific research results in assigned areas. Works with project team to develop strategy for data presentation.•Identify and recommend corrections of flaws in scientific logic and statistical interpretation•Ensures consistency in presentation, inference, and adherence to accepted report guidelines and publication practices•Provides critical review to enhance quality of data presentation and scientific/statistical arguments•Participates in departmental activities including recruiting, training, mentoring, and cross-functional collaborations, as needed.•Maintains technical skills and increases own knowledge of new statistical methodology or areas of application through use of the scientific literature and by attending conferences and workshops, opportunity permitting.•Presents own statistical research or review of the statistical literature at meetings and seminars. •Demonstrates ability to act as a resource for other statisticians about a broad spectrum of analysis methods.•Possesses broad programming abilities and shares them with others by consultation and example.•Maintains programming skills even when delegating many programming tasks to others.•Able to guide, negotiate, and coordinate all statistical project responsibilities independently.*•Collaborates with project team members, including the project lead, investigators, statistical colleagues in manner that consistently demonstrates a high level of expertise, experience, and professionalism.•Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. * •Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. * •Ensure other members of the department follow the QMS, regulations, standards, and procedures.* •Perform other work-related duties as assigned. *Indicates an essential function of the role Position QualificationsMinimum education and experience:•Master's degree in Statistics, Biostatistics, Math or other scientific discipline with 6+ (six) years of experience or Bachelor's degree with 8+ years of experience in Clinical trial analysis in a medical device or pharmaceutical environment, or an equivalent combination of education and experience. Additional qualifications: •Competent in study design, descriptive and inferential statistics, clinical trial applications and computer programming.•Understanding of FDA regulatory requirements and ICH/GCP preferred.•High degree of accuracy, organizational skills and attention to detail are essential.•Experience analyzing complex study objectives and developing appropriate analysis specifications and plans. •Exercising judgment in selecting methods, techniques, and evaluation criteria for obtaining results. •Builds strong relationships with peers and cross functionally with partners outside of team Experience writing statistical analysis plan (SAP) from the clinical protocol and other study specific documents. •Familiarity with relational databases and understanding of fundamental statistical methods, such as non-parametric analysis, linear and non-linear models, categorical data and survival analysis techniques.•Able to work under time pressure and handle multiple tasks simultaneously.•Determines methods and procedures on new assignments and may coordinate activities of other personnel. Strong interpersonal, collaborative and communication skills are required. Annual Base Salary Range: $127,000 - $207,000This is the pay range for a mid-cost labor market. If hired in another region, there will be a difference in pay range . We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer•A collaborative teamwork environment where learning is constant, and performance is rewarded.•The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases.•A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, an employee stock purchase plan, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team As a Staff Safety Statistician, you will play a critical role in how Torc evaluates, communicates, and makes decisions about the safety of its autonomous driving systems. You will lead the design and execution of statistically rigorous analyses that inform safety assurance strategies, engineering priorities, and risk-based decision making. Your work will directly influence how safety performance and risk are measured, understood, and acted upon across the organization. This is a technical role focused on applied statistics and decision support, not dashboarding, experimentation platforms, or generic ML product analytics. What You'll Do Lead statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets Bridge safety and engineering teams by translating complex analyses into information engineers can act on Develop automated, production-ready analysis workflows that support continuous safety monitoring Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives What You'll Need to Succeed Advanced degree in Statistics or a closely related field M.S. with 5+ years of experience, or PhD with 3+ years of experience Strong background in applied statistics, safety analysis, and risk estimation Experience in autonomous vehicles or adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail etc.,) Experience working with complex, real-world datasets rather than clean or purely academic data Hands-on experience using Python for analysis (SQL and/or R a plus, but not required) Ability to communicate statistical concepts clearly to non-statistical audiences Comfort operating independently as a technical leader in a cross-functional, distributed environment Bonus Points Background applying statistics to engineering or physics-based systems Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling Experience supporting executive or external stakeholder decision-making Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) Company-wide holiday office closures AD+D and Life Insurance At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102419 Hiring Range for Job Opening US Pay Range$168,800-$202,600 USD

State of Location: Pennsylvania At Ivy Rehab, we're "All About the People"! As a Data Scientist / Statistician you will play a crucial role in our mission to help enable people to live their lives to the fullest. Join Ivy Rehab's dedicated team where you're not just an employee, but a valued teammate! Together, we provide world-class care in physical therapy, occupational therapy, speech therapy, and applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth, community, and a passion for exceptional care for every patient. Job Description: This position has the ability to work remotely. How You Will Make an Impact The Analytics & Insights department draws upon the organization's rich data sources and industry-leading data ecosystem to deliver innovative data-driven strategies and insights across the entire organization. Our work helps inform business decisions and improve the effectiveness and efficiency of care delivery and operational performance, optimizing the value of the patient's experience and our patient outcomes. The Data Scientist / Statistician will have the opportunity to work on complex business and patient care problems, leveraging our in-house data sources and growing data warehouse within a collaborative environment. This role will be responsible for supporting organizational initiatives by providing accurate and timely analytically derived insights. This person will be responsible for obtaining and validating raw data, querying against Ivy's data lake and joining large data sets to bring together the data needed to perform an analysis, and applying advanced statistical and predictive analytics to uncover actionable insights. We are seeking candidates with demonstrated experience completing a project from start to finish (idea, data pull, data cleaning, data feature engineering, analysis, presenting and reporting). The ideal candidate has a proven track record in performing advanced methods of statistical analysis and developing and deploying machine learning models into production environments and integrating them seamlessly into Power BI dashboards. How you'll spend your day Work with Ivy's data late database technologies to develop data models/schemas and statistical analytical toolsets to perform advanced and predictive analysis on raw organizational data from multiple sources, that provide insights into why something occurred and the likelihood of future events. Collaborate with internal and external stakeholders to gather data and project requirements. Perform queries against Ivy's Snowflake Data Lake to acquire and join the required data, forming data models, to answer the ‘business' question. Perform hypothesis testing Apply advanced statistical and predictive analytical methods and machine learning models to uncover actionable insights. Perform model diagnostics (e.g. VIFs, correlation coefficients, reasons for missingness etc) Prepare written analysis and summarize results using graphical representations and professional formatting. Capture, document, and communicate best practices with reporting analyst colleagues. Develop strong knowledge of how and why the data is collected in each of the various source systems. Provide analytical support interpreting data and trends. Work closely with internal and external stakeholders to support strategic and long-term projects. Interest in upskilling and learning new tools, such as use cases for generative AI, and cutting-edge analytical techniques *This is not an exhaustive list; other relevant duties and responsibilities may be assigned at the needs and discretion of the business. What you'll need Master's Degree, data science, statistics, biostatistics, mathematics, public health, health informatics, healthcare administration, finance, business, economics, or related field 3+ years' experience working with large databases, joining together different data sources to perform advanced analytics to deliver operational insights data verification, and data management experience preferred Demonstrated proficiency in extracting and manipulating data from various sources to then develop data models to then be used for analysis Build machine learning pipelines to with decision-making and streamline critical business metrics Demonstrated proficiency in performing advanced and predictive analytics and statistical modeling, trend analysis using Python, R, SPSS, and other advanced analytics software/platforms Demonstrated experience applying data science principles and statistical methods to solve complex business problems. Demonstrated experience with performing model diagnostics (e.g. VIFs, correlation coefficients, reasons for missingness, etc) and hypothesis testing Demonstrated experience in performing queries against data lakes to capture and join required data for analysis Demonstrated experience with machine learning for the building of algorithms to fit patterns in big data sets. Demonstrated proficiency in using Excel skills to run advanced analysis, queries of large data sets, and data visualization Demonstrated experience in deploying machine learning models into production environments and integrating them seamlessly into Power BI dashboards Demonstrated experience completing a project start to finish (idea, data pull, data cleaning, data feature engineering, analysis, presenting and reporting) Proficiency in SQL/querying languages Experience in automating data processing tasks (scripting, including Python, PySpark, R, Excel, SQL) Experience in designing, updating, and maintaining rich graphic visualizations with the modular design of reports, worksheets, and views in PowerBI is preferred. Experience with healthcare data is preferred. Experience in using Snowflake and Snowpark is preferred. What will help you excel? Ability to identify data irregularities, perform quality assurance checks, and present findings and proposed solutions to leadership. Ability to work in a fast-paced environment while maintaining a positive attitude. Flexible positive attitude: Hungry to solve problems and grow within the organization. Self-motivated with the willingness to exceed expectations, learn and grow. Excellent written and verbal communication and presentation skills Ability to prepare written analysis and summarize results using graphical representations and professional formatting. Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners Ability to work with end users and translate business requirements into technical requirements/solutions. Outstanding time management skills and ability to multitask Self-starter, able to work with limited supervision Demonstrates curiosity and a creative approach to problem-solving Comfort and confidence in working within a rapidly developing data lake and warehouse environment Proficient in Microsoft Word, Excel, and PowerPoint Why Choose Ivy? Best Employer: A prestigious honor to be recognized by Modern Healthcare, signifying excellence in our industry and providing an outstanding workplace culture. Exceeding Expectations: Deliver best-in-class care and witness exceptional patient outcomes. Incentives Galore: Eligibility for full benefits package beginning within your first month of employment. Generous PTO (Paid Time Off) plans and paid holidays. Empowering Values: Live by values that prioritize teamwork, growth, and serving others. We are an equal opportunity employer, committed to diversity and inclusion in all aspects of the recruiting and employment process. Actual salaries depend on a variety of factors, including experience, specialty, education, and organizational need. Any listed salary range or contractual rate does not include bonuses/incentive, differential pay, or other forms of compensation or benefits. ivyrehab.com

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Statistics, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers. Correct the model's responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Effort estimate Tasks for this project are estimated to take 6-10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Requirements You hold a Bachelor's, Master's or PhD Degree in Statistics, Biostatistics, Econometrics and/or in a relevant area. You have professional experience in one of the following fields: Applied Statistics, Bayesian Statistics, Biostatistics, Econometrics, Economic Statistics, Experimental Design (DOE) & A/B Testing, Generalized Linear Models (GLMs), Hypothesis Testing, Machine Learning (e.g., Classification, Regression, Clustering), Probability Theory, Statistical Modeling, Time Series Analysis. Your level of English is advanced (C1) or above. Expertise in statistical modeling and data analysis, including areas such as descriptive and inferential statistics, regression analysis, experimental design, and machine learning. Proficiency in Python, with experience using libraries such as Pandas, NumPy, SciPy, Statsmodels, and Scikit-learn. Strong ability to design creative and diverse problems, particularly those that are computationally intensive and go beyond simple parameter modifications. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Benefits Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $73/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Handshake is recruiting Statistician Professionals to contribute to an hourly, temporary AI research project-but there's no AI experience needed. In this program, you'll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model's understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise. Details The position is remote and asynchronous; work independently from wherever you are. The hours are flexible, with no minimum commitment, but most average 5-20 hrs The work includes developing prompts for AI models that reflect your field, and then evaluating responses. You'll learn new skills and contribute to how AI is used in your field Your placement into a project will be dependent on project availability-if you apply now and can't work on this project, more will be available soon. Qualifications You have at least 4 years of professional experience in one or more of the following types of work. The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models Analyzing and interpreting statistical data to identify significant differences and relationships among sources of information. Evaluating statistical methods and procedures used to obtain data to ensure validity, efficiency, and accuracy. Reporting results of statistical analyses, including information presented as graphs, charts, and tables. Determining whether statistical methods are appropriate based on user needs or research objectives. Preparing data for processing by organizing, cleaning, and weighting raw datasets. Developing and testing experimental designs, sampling techniques, and analytical methods. Identifying relationships and trends in data, as well as factors influencing research outcomes. Presenting statistical and nonstatistical results using visual aids such as charts and graphs for diverse audiences. Designing research projects that apply valid scientific techniques using baseline or historical data to structure efficient analyses. Adapting statistical methods to solve domain-specific problems in areas such as economics, biology, healthcare, or engineering. Evaluating data sources to determine limitations regarding reliability and usability. Processing large datasets for statistical modeling and graphic analysis using specialized software or programming languages. Developing custom software applications or scripts for statistical modeling and visualization. Reporting research findings in peer-reviewed papers, technical documentation, or internal reports. Planning data collection methods and determining appropriate sample types and sizes for specific projects. Applying sampling techniques or using complete enumeration bases to define survey groups. Examining theoretical foundations such as probability and inference to develop or refine methods for obtaining and evaluating data. Supervising and training workers responsible for collecting and tabulating data. Preparing and structuring data warehouses for efficient data storage and retrieval. You're able to participate in asynchronous work in partnership with leading AI labs. Application Process Create a Handshake account Upload your resume and verify your identity Get matched and onboarded into relevant projects Start working and earning Work authorization information F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI. #indhp

State of Location: Pennsylvania At Ivy Rehab, we're "All About the People"! As a Data Scientist / Statistician you will play a crucial role in our mission to help enable people to live their lives to the fullest. Join Ivy Rehab's dedicated team where you're not just an employee, but a valued teammate! Together, we provide world-class care in physical therapy, occupational therapy, speech therapy, and applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth, community, and a passion for exceptional care for every patient. Job Description: This position has the ability to work remotely. How You Will Make an Impact The Analytics & Insights department draws upon the organization's rich data sources and industry-leading data ecosystem to deliver innovative data-driven strategies and insights across the entire organization. Our work helps inform business decisions and improve the effectiveness and efficiency of care delivery and operational performance, optimizing the value of the patient's experience and our patient outcomes. The Data Scientist / Statistician will have the opportunity to work on complex business and patient care problems, leveraging our in-house data sources and growing data warehouse within a collaborative environment. This role will be responsible for supporting organizational initiatives by providing accurate and timely analytically derived insights. This person will be responsible for obtaining and validating raw data, querying against Ivy's data lake and joining large data sets to bring together the data needed to perform an analysis, and applying advanced statistical and predictive analytics to uncover actionable insights. We are seeking candidates with demonstrated experience completing a project from start to finish (idea, data pull, data cleaning, data feature engineering, analysis, presenting and reporting). The ideal candidate has a proven track record in performing advanced methods of statistical analysis and developing and deploying machine learning models into production environments and integrating them seamlessly into Power BI dashboards. How you'll spend your day Work with Ivy's data late database technologies to develop data models/schemas and statistical analytical toolsets to perform advanced and predictive analysis on raw organizational data from multiple sources, that provide insights into why something occurred and the likelihood of future events. Collaborate with internal and external stakeholders to gather data and project requirements. Perform queries against Ivy's Snowflake Data Lake to acquire and join the required data, forming data models, to answer the ‘business' question. Perform hypothesis testing Apply advanced statistical and predictive analytical methods and machine learning models to uncover actionable insights. Perform model diagnostics (e.g. VIFs, correlation coefficients, reasons for missingness etc) Prepare written analysis and summarize results using graphical representations and professional formatting. Capture, document, and communicate best practices with reporting analyst colleagues. Develop strong knowledge of how and why the data is collected in each of the various source systems. Provide analytical support interpreting data and trends. Work closely with internal and external stakeholders to support strategic and long-term projects. Interest in upskilling and learning new tools, such as use cases for generative AI, and cutting-edge analytical techniques *This is not an exhaustive list; other relevant duties and responsibilities may be assigned at the needs and discretion of the business. What you'll need Master's Degree, data science, statistics, biostatistics, mathematics, public health, health informatics, healthcare administration, finance, business, economics, or related field 3+ years' experience working with large databases, joining together different data sources to perform advanced analytics to deliver operational insights data verification, and data management experience preferred Demonstrated proficiency in extracting and manipulating data from various sources to then develop data models to then be used for analysis Build machine learning pipelines to with decision-making and streamline critical business metrics Demonstrated proficiency in performing advanced and predictive analytics and statistical modeling, trend analysis using Python, R, SPSS, and other advanced analytics software/platforms Demonstrated experience applying data science principles and statistical methods to solve complex business problems. Demonstrated experience with performing model diagnostics (e.g. VIFs, correlation coefficients, reasons for missingness, etc) and hypothesis testing Demonstrated experience in performing queries against data lakes to capture and join required data for analysis Demonstrated experience with machine learning for the building of algorithms to fit patterns in big data sets. Demonstrated proficiency in using Excel skills to run advanced analysis, queries of large data sets, and data visualization Demonstrated experience in deploying machine learning models into production environments and integrating them seamlessly into Power BI dashboards Demonstrated experience completing a project start to finish (idea, data pull, data cleaning, data feature engineering, analysis, presenting and reporting) Proficiency in SQL/querying languages Experience in automating data processing tasks (scripting, including Python, PySpark, R, Excel, SQL) Experience in designing, updating, and maintaining rich graphic visualizations with the modular design of reports, worksheets, and views in PowerBI is preferred. Experience with healthcare data is preferred. Experience in using Snowflake and Snowpark is preferred. What will help you excel? Ability to identify data irregularities, perform quality assurance checks, and present findings and proposed solutions to leadership. Ability to work in a fast-paced environment while maintaining a positive attitude. Flexible positive attitude: Hungry to solve problems and grow within the organization. Self-motivated with the willingness to exceed expectations, learn and grow. Excellent written and verbal communication and presentation skills Ability to prepare written analysis and summarize results using graphical representations and professional formatting. Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners Ability to work with end users and translate business requirements into technical requirements/solutions. Outstanding time management skills and ability to multitask Self-starter, able to work with limited supervision Demonstrates curiosity and a creative approach to problem-solving Comfort and confidence in working within a rapidly developing data lake and warehouse environment Proficient in Microsoft Word, Excel, and PowerPoint Why Choose Ivy? Best Employer: A prestigious honor to be recognized by Modern Healthcare, signifying excellence in our industry and providing an outstanding workplace culture. Exceeding Expectations: Deliver best-in-class care and witness exceptional patient outcomes. Incentives Galore: Eligibility for full benefits package beginning within your first month of employment. Generous PTO (Paid Time Off) plans and paid holidays. Empowering Values: Live by values that prioritize teamwork, growth, and serving others. We are an equal opportunity employer, committed to diversity and inclusion in all aspects of the recruiting and employment process. Actual salaries depend on a variety of factors, including experience, specialty, education, and organizational need. Any listed salary range or contractual rate does not include bonuses/incentive, differential pay, or other forms of compensation or benefits. ivyrehab.com

Data Modeler Irving, TX (3 days onsite - Hybrid) 12 months Web Cam Interview $65/Hr on W2 we are seeking a Data Modeler with strong hands-on experience in developing Conceptual, Logical and Physical Data Model for Wholesale Lending. Candidate must have experience in developing large scale data models that fits multiple lines of business. The work will involve developing strategic state-of-the-art solutions using agile methodologies, micro services and integration with many application/services. Description: Institutional operations group is responsible for the management and execution of transactions for Markets, Credit Risk, Security Services, Information Services, Private Bank, Treasury and Trade Solutions and Operation Controls and reporting. The technology arm of ICG engaged in the application development and support for various lines of businesses Responsibilities: Identify data and information needs for wholesale lending business of ICG Develop conceptual, logical models and metadata solutions Performing Data Analysis on various data sets Design and maintain blueprint of the information architecture, data integrations and controls aligned to the renewed business strategy Unify data concepts across disparate front office, credit risk, servicing and reporting functions of ICG Determine database structural requirements by analyzing client operations, applications and data from existing systems Participate in requirement engineering and working groups and collaborate with business leads, operations, SMEs, technologists and governance teams Define, model and rationalize target state solution, socialize with key stakeholders and conduct walkthrough Incorporate data standards and implement governance model Develop data flows, ownership matrixes, mapping and data lineage ssist in the implementation of physical data model, contribute to the system and operational design, carry out optimization for usability and performance Qualifications: 8-10 years hand-on experience in Data Modeling and implementation using RDBMS - Oracle preferred Hands-on modeling expertise using Magic Draw, Erwin or Enterprise Architect and metadata management tools Financial industry knowledge in wholesale lending, risk management, servicing and risk/regulatory reporting SQL query knowledge and performing data analysis Product knowledge in commercial banking, capital and investment banking and markets Experience in UML/relational/hierarchical/Big Data concepts is a plus Prefer data modelling experience using Magic Draw and Cameo. Utilize Code Engineering Sets to generate executable code or a database script. Write custom macros to efficiently validate and manage data models Knowledge of Data Management methodologies involving architecture, modeling, storage, security Prior experience in data integration, interoperability and data quality solutions. nalytical and problem solver, excellent verbal, written and presentation skills Education: Bachelors degree/University degree or equivalent experience Certification in Data Architecture / Modeling is a plus Remote

R3 Under the general supervision of a senior staff member in Center for Mathematical Sciences (CMS), the incumbent is responsible for the statistical analysis and evaluation of data to meet the needs of our company's Manufacturing Division. The individual will, through consultation with employees and teams, provide statistical expertise on experimental design, and the evaluation and interpretation of data. As required, the incumbent will evaluate data for submission to regulatory agencies and pharmacopoeia. **Primary Activities** + Partner with manufacturing teams to define clear objectives, success criteria, and decision points for process studies; select fit-for-purpose tools (e.g., ANOVA, ANCOVA, mixed-effects models). + Design and analyze experiments using Design of Experiments (DoE) to understand, optimize, and qualify/validate vaccine manufacturing processes and analytical methods. + Support scale-up, technology transfer, and comparability with sound protocols, acceptance criteria, and statistical justifications. + Analyze stability and shelf-life studies aligned with International Council for Harmonisation (ICH) guidance; perform degradation modeling, trend analysis, and shelf-life estimation using regression, mixed-effects models, and tolerance/prediction intervals. + Establish and maintain ongoing monitoring using Statistical Process Control (SPC) and Continued Process Verification (CPV) for Critical Quality Attributes (CQAs) and Critical Process Parameters (CPPs); implement control charts (e.g., X-bar/R, Individuals-Moving Range), capability analysis (Cp/Cpk/Pp/Ppk), and nonparametric trend tests as needed. + Troubleshoot issues, including Out-of-Specification (OOS) and Out-of-Trend (OOT) results, using data analysis, root-cause hypotheses, and targeted confirmation studies; apply multivariate methods (e.g., PCA, PLS) and Monte Carlo simulations for risk and sensitivity analysis. + Translate results into practical recommendations for setpoints, ranges, sampling plans, and control strategies; based on risk and uncertainty. + Develop reproducible, auditable analysis using good manufacturing/documentation practices. + Prepare clear statistical content for Chemistry, Manufacturing, and Controls (CMC) documentation; assist with regulatory queries using sound statistical rationales. **Minimum Education Requirements and Experience:** + Bachelor of Science (BS) in statistics or related field with ten (10) years of required experience, **OR** + Master of Science (MS) in statistics or related field with five (5) years of required experience, **OR** + PhD in statistics or related field with no required experience. Please note: Coursework and/or experience should include industrial statistics (DOE, SPC, regression, general linear models, and multivariate methods, computer programming). **Required Skills and Experience:** + A statistician experienced working in a pharmaceutical company dedicated to supporting vaccine manufacturing, emphasizing critical thinking, domain knowledge, and scientific partnership. + Demonstrated experience supporting Chemistry, Manufacturing, and Controls (CMC) activities for drug substance and drug products, including stability studies, comparability assessments, process validation, and control strategy development aligned with ICH guidelines + Working experience with Bayesian statistical framework + Background in mammalian cell culture and yeast fermentation + Proficient in live virus potency (plaque assays, TCID50, qPCR/dPCR) and recombinant protein analytics (ELISA, HPLC/UPLC). + Excellent statistical computing skills with substantial experience in at least two of the following statistical software packages: SAS, R, JMP, Minitab. + Hands-on experience with Design of Experiments (DoE), Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), mixed-effects models, response surface methods, process capability, Statistical Process Control (SPC), Continued Process Verification (CPV), tolerance intervals, equivalence/non-inferiority testing, and Monte Carlo simulations + Strong consulting skills with the ability to work independently and collaboratively across cross-functional teams. + Excellent oral and written communication skills; able to explain statistical concepts and results to non-statisticians and influence decision-making + Proven leadership with advanced problem-solving and decision-making skills; adept at managing multiple projects, meetings, time, and priorities + Ability to think originally and creatively to develop practical, high-impact solutions and to persuade and motivate others toward adoption **Required Skills:** Accountability, Accountability, Bayesian Statistics, Business Intelligence (BI), Capability Analysis, Cell-Based Assays, Cell Cultures, Computer Programming, Control Charts, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Mammalian Cell, Mammalian Cell Culture, Manufacturing, Manufacturing Processes, Manufacturing Support, Mixed Models, Response Surface Methodology, SAS Language, Software Development {+ 9 more} **Preferred Skills:** Current Employees apply HERE (***************************************************** Current Contingent Workers apply HERE (***************************************************** **US and Puerto Rico Residents Only:** Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here (*************************************** if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights (****************************************************************************************** EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts (********************************************** **U.S. Hybrid Work Model** Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote". The salary range for this role is $126,500.00 - $199,100.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at ****************************************************** . You can apply for this role through **************************** (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. **San Francisco Residents Only:** We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance **Los Angeles Residents Only:** We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance **Search Firm Representatives Please Read Carefully** Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. **Employee Status:** Regular **Relocation:** Domestic **VISA Sponsorship:** No **Travel Requirements:** 10% **Flexible Work Arrangements:** Not Applicable **Shift:** 1st - Day **Valid Driving License:** No **Hazardous Material(s):** N/A **Job Posting End Date:** 02/2/2026 ***A job posting is effective until 11:59:59PM on the day** **BEFORE** **the listed job posting end date. Please ensure you apply to a job posting no later than the day** **BEFORE** **the job posting end date.** **Requisition ID:** R373127

The Role We welcome applications from passionate candidates who may not already fit an existing role. Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF of NY) please apply anyway! We'd love to consider you. Join the team bringing advanced autonomy to the built world At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue. While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. This isn't a simulation-it's autonomous intelligence working on billion-dollar infrastructure projects. In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward-thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. Here, algorithms meet steel-toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world get built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.

At Distru, we're always looking to connect with smart, motivated people who are passionate about shaping the future of the cannabis supply chain. Even if you don't see an open role that fits your background today, we'd still love to hear from you. By joining our general application pool, you'll be on our radar for future openings - and if we come across a unique opportunity or see a strong fit, we may reach out even before a role is officially posted. We believe the right person can help shape the role as much as the role shapes them, so if you're excited about what we're building, we'd love to explore the possibilities together. ##LI-DNI

At IMO Health, Semantic Data Modelers are key members of our ontology-driven graph engineering team, helping to build and maintain a virtualized, intelligent, and scalable medical terminology platform. Your work will empower over 740,000 clinicians by enhancing how healthcare data is structured, delivered, and understood. We are seeking an experienced Semantic Data Modeler to join our team, focusing on the development and application of Knowledge Graphs integrated with Data Science and Natural Language Processing (NLP) workflows. In this critical role, you will contribute to the design and implementation of semantic models, bridging the gap between raw data sources and actionable clinical insights. You will utilize your skills in NLP and data analysis to enrich our knowledge graph, ensuring high data quality and accessibility for semantic enrichment and clinical interoperability initiatives. This position requires strong technical proficiency and exceptional collaboration skills, working closely with staff semantic engineers, clinicians, and content teams. WHAT YOU'LL DO: Semantic Model Design: Contribute to the design, development, and iterative refinement of complex semantic data models, with a focus on ontologies, knowledge graphs, and property graphs. Requirement Translation: Assist senior team members in translating intricate, cross-functional business needs into formal, scalable knowledge graph structures, ensuring tight alignment with the enterprise data strategy. Governance and Standards: Document semantic assets, including detailed entity definitions, relationship types, axioms, constraints, and data lineage, ensuring adherence to established best practices and fostering consistency across the organization. Graph Data Analysis & Feature Engineering: Utilize data science methodologies and Python scripting to conduct exploratory data analysis (EDA) on graph structure, identify data patterns, perform feature engineering, and support advanced analytics based on the knowledge graph. Data-Driven NLP Integration: Apply Natural Language Processing (NLP) techniques and tooling to unstructured clinical text and data streams to identify, extract, and map new entities, attributes, and relationships directly into the semantic models, effectively structuring raw data for machine learning consumption. Robust Data Quality: Implement and maintain data quality frameworks, validation rules (e.g., using SHACL), and transformation logic within the semantic layer to ensure the accuracy, reliability, and consistency of the knowledge graph. Cross-Functional Partnership: Partner closely with Staff semantic engineers, clinicians, content teams, and business leaders to understand domain knowledge and requirements, and ensure semantic solutions effectively meet organizational objectives. Research & Evaluation: Assist in researching, evaluating, and utilizing new technologies, methodologies, and best practices in semantic modeling, knowledge graph technologies, and NLP to drive continuous process improvement. Knowledge Sharing: Proactively share technical expertise and knowledge with peers and cross-functional teams. WHAT YOU'LL NEED: BA/BS in a STEM field (e.g., Computer Science, Data Science, Bioinformatics) with 3-5 years of hands-on work experience in data modeling or data engineering. Proven hands-on experience in semantic modeling concepts (ontologies, knowledge graphs, property graphs). Expertise in Python for data manipulation, analysis, and pipeline development, including libraries like Pandas/NumPy. Strong understanding of statistical and machine learning concepts (e.g., classification, clustering, regression) and their application to graph-based data. Demonstrated experience with NLP technologies and libraries (e.g., NLTK, spa Cy, Gensim, Hugging Face) for text extraction, named entity recognition, or relationship extraction. Strong working knowledge of graph database platforms (e.g., Amazon Neptune, Neo4j, etc.) and graph query languages (e.g., SPARQL or Gremlin). Familiarity with semantic web standards like OWL, RDFS, and SHACL. Experience with relational databases (SQL) and general data warehousing concepts. Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders. Experience in an Agile/Scrum environment, iteratively developing and deploying data solutions. NICE TO HAVE: Practical experience with AWS data services (e.g., Glue, Sagemaker) and ETL/ELT methodologies. Understanding healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.

Greetings Everyone Job Description: Data Modeler Onsite 7 + years of experience in Data Modeling & Data Analysis and should have excellent communication and leadership skills. Financial Domain knowledge is plus. Should have strong understanding of cloud Data warehouse like Snowflake and Data modelling skill using Data Vault 2.0 . Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data sources / tools such as Hive , S3 , Trino , HUE , etc. Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments . Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc.) Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2 Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team daily to analyze requirements, design, development, and deployment technical solutions. Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance. Compensation, Benefits and Duration Minimum Compensation: USD 34,000 Maximum Compensation: USD 120,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Data Modeler - Claims Modeling exp also must Remote. Contract role. · As a Data Modeler specializing in Azure, you will be responsible for designing, implementing, and maintaining both relational and non-relational data models. · You will work closely with cross-functional teams to ensure that data architectures meet business needs. Key Responsibilities: · Design and develop conceptual, logical, and physical data models for both relational (e.g., SQL Database) and non-relational (e.g., Cosmos DB) databases in Azure. · Collaborate with business analysts and stakeholders to gather and translate business requirements into data models. · Implement best practices in data modeling, focusing on performance, scalability, and maintainability. · Optimize data structures for efficient storage, retrieval, and analysis, ensuring data integrity and security. · Create and maintain comprehensive documentation for data models, data flows, and metadata management. · Support data integration efforts with ETL tools and ensure seamless data movement across various systems. · Stay abreast of industry trends and advancements in Azure data technologies, relational and non-relational databases. Qualifications: · Bachelor's degree in computer science, Information Technology, or a related field. · Proven experience in data modeling for both relational and non-relational databases, particularly in Azure. · Proficiency in Azure services such as Azure Fabric, Azure SQL Database, Azure Cosmos DB, and Azure Data Factory. · Strong understanding of database design principles and data governance practices. · Experience with data visualization tools (Power BI, Tableau, etc.) is a plus. · Excellent analytical, problem-solving, and critical-thinking skills. · Strong communication and collaboration abilities to work effectively with technical and non-technical teams. Preferred Skills: · Knowledge of cloud-based data architecture patterns and data integration strategies. · Familiarity with Data Governance tools like Collibra and ETL/ELT processes and tools. · Experience in agile methodologies and project management. HR Xlysi LLC, Expert Portal Solutions 251 Milwaukee Ave, Buffalo grove, IL 60089 Web : ******************** E-mail: ************ Our training portal registration: *************************************************************** OrderID=345179&portal ID=2106

A global law firm with nearly 1,400 lawyers and more than 3,000 employees across 19 offices in the United States, Europe, and Asia is looking to build out a data lake to encompass both internal and external data. The role is a long-term contract and is remote. The firm is widely recognized for its expertise in corporate law, litigation, intellectual property, life sciences, technology, and venture capital, advising on transformative deals, IPOs, and complex regulatory matters. The firm has earned numerous workplace accolades, including being named to Fortune's Best Companies to Work For and receiving honors such as Best Workplaces for Women, Best Workplaces for Flexibility, Best Workplaces for Giving Back, and Best Workplaces for Parents. The firm is looking to hire a MDM Architect & Data Modeler to join their team building this greenfield data lake responsible designing and implementing the enterprise Master Data Management (MDM) architecture. The MDM Architect's primary responsibility will be to ensure the architecture has a seamless integration with the Lakehouse platform, APIs, and workflows. Build canonical models for master entities, define hierarchies, relationships, and attributes, and manage the MDM tool for optimal performance and compliance with enterprise standards. Key Responsibilities MDM Architecture Design -Develop scalable MDM architecture integrated with Lakehouse and enterprise systems. -Define API strategies and workflow orchestration for data mastering processes. -Knowledge of Lakehouse architectures and integration patterns. Data Modeling -Create canonical models for master entities (e.g., customer, product, supplier). -Define hierarchies, attributes, and relationships for MDM domains. Tool Management -Configure, upgrade, and optimize MDM tools (Ataccama or Informatica). -Monitor performance and ensure high availability and compliance. Governance & Standards -Align MDM architecture with enterprise security, compliance, and governance policies. -Implement data quality and stewardship processes. Collaboration -Work closely with Data Architects (e.g., Silver Data Vault layer) and engineering teams to ensure consistency across data platforms. Compensation: $60/hr to $73/hr. Exact compensation may vary based on several factors, including location, skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 3-5+ years in Data Modeling or MDM Architecture - hands-on experience with Data Vault - experience in data modeling for MDM and enterprise data platforms in the cloud - hands-on MDM tool experience with Ataccama (preferred) or Informatica - Knowledge of relational and dimensional modeling, hierarchy design, and attribute management - Understanding of data governance principles and metadata management. -ETL/ELT and Integration experience: Knowledge of ingestion tools like Qlik Replicate and Fivetran; and transformation frameworks such as dbt and Apache Spark. - law firm background - Knowledge of API design, workflow automation, and performance tuning. - Familiarity with Collibra and Unity Catalog for governance and metadata management -Strong grasp of identity and access management (e.g., Entra ID)

Remote Data Modeling needs 3 years of relevant UAS, GIS, modeling, application design, or other quantitative industry experience Remote Data Modeling requires: Preferable Woburn, MA A minimum of 3 years of relevant UAS, GIS, modeling, application design, or other quantitative industry experience required. A minimum of 5 years of professional work experience required. Experience transferring data from 3D modeling software or comparable relevant projects required. Experience with point cloud manipulation, CAD, third-party GIS, or photogrammetry software required. Experience with remote sensing, oblique imagery, LIDAR, or 3D point clouds preferred. UAS knowledge and capture from motion experience preferred. Photogrammetry and professional surveyor certificates preferred. Remote Data Modeling duties: Deliver cost effective, accurate, photo-realistic, interactive models of the Companys U.S. assets. Lead team projects to develop analysis automation and UIs for employees/customers. Work with IT, Shared Services and cross functional teams to identify, develop and project manage system integrations to ensure program delivers an integrated solution. Partner with business leaders and customers to identify opportunities for data; determine scopes, evaluate requirements, manage implementations, and monitor quality during and post-production. Develop customer-facing data that can be generated using standard data collection and processing techniques. Collaborate with the Manager, Operations to ensure collected data meet processing and analysis requirements; build quality and production metrics and ensure requirements are scalable.

At Booking.com we make it easier for everyone to experience the world, and while that world might feel a little farther away right now, we're busy preparing for when the world is ready to travel once more. Across our offices worldwide, we continue to innovate. To solve for some of the most complex challenges in travel and technology, and to plan for the exciting developments that lie ahead. With strategic long-term investments into what we believe the future of travel can be, we are opening up new career opportunities that will have a strong impact on our mission. We are united in the belief that our very human desire to explore the planet's beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready. Booking.com core values ● Think customer first ● Succeed together ● Own It ● Learn Forever ● Do the Right Thing About the team The Trips Data Management team at Booking.com looks after data and enhancement for everything but the stay at Booking.com. This includes data platforms, data warehouse, governance, quality, modelling and enrichment enabling teams across the organisation to understand and manage our business performance and improve the experience of our customers. We are looking for a highly experienced and resilient Senior Data Modeller to join our Data Governance & Value team to drive governance strategy, implementing policies and standards, data modelling, and supporting teams to deliver robust, trusted data to our customers. This role will be based in our London office (Monument). About the Role As a senior member of the team, you will be responsible for leading on the development and utilisation of Data Models within the Trips Business Unit through the engagement with internal teams and deliveries. Defining and documenting the As-is and To-be Data Models and supporting the adoption and embedding of Data Modelling capabilities. In this role-you will be seen as the go-to person for all existing and and new requirements. It is also essential that you can act as a bridge between the business and engineering to manage progression from conceptual to physical data models. This is a newly created role reporting into the Principle Data Governance & Value Manager within the Data Management Team for Trips Business Unit of Booking.com with a unique opportunity to define, build and embed robust Data Modelling capabilities. Responsibilities: To successfully deliver change in a fast paced working environment you will need to: ● Responsible for engaging with the business to define and document our As-is and To-be Data Models ● Be visible and engage the wider business areas; Data Science & Analytics, Machine Learning and Product teams, to be the go-to person for all Data Modelling queries ● Communicate with key stakeholders to keep them up to date with the Data Model development process ● Provide regular progress reports against OKRs and KPIs to demonstrate alignment with business objectives and key success factors. ● Define, manage and optimise the Data Model Framework and ensure consideration for the architectural roadmap for Data Marts, AWS and existing and future Data Platforms. ● Support objectives to embed Data Models as part of the overall Data Governance and Value roadmap. ● Curation, maintenance and distribution of Trips Data Models, (Conceptual, Logical and Physical) which can be operationalised within the companies workflows and infrastructure to ensure data solutions meet business requirements and consumers can derive value from our data. ● Define and ensure adoption of standardised data modelling and architecture capabilities. ● Identify opportunities to improve efficiency through mapping data flows between systems and workflows across the company. ● Implement processes to manage changes in data and adoption of new data solutions. ● Support the identification and establishment of Data Owners. Your skills and experience: ● Experience in implementing or actively participating in a company-wide data governance program. ● Have strong technical ability, experience of implementing data solutions ● Solid understanding of the needs of consumers and how to deliver and measure value in data solutions ● Have great organisational and communication skills and be able to communicate with the business at all levels and across disciplines - data specific, technical and non-technical ● Rich experience of data architecture and modelling and improving how data is consumed ● Strong knowledge of data modelling methods (Relational, Dimensional) ● Strong knowledge of data and enterprise architecture, e.g. TOGAF ● Intermediate knowledge of Data Management & Governance requirements based on best practices, e.g. DAMA-DMBOK, DCAM ● Intermediate knowledge of one or more database querying languages or scripting tools. e.g. SQL, VBA ● Proficient in working within an Agile product-based organisation Desirable Skills: ● Experience of data lineage/catalogue tools e.g. Collibra, Informatica ● Experience delivering Cloud Data Platforms, migrations and integration ● Understanding of analytical tools to improve performance ● Deep understanding of e-commerce and travel business models Benefits: ● 25 vacation days (rising to 28) to go exploring, plus the option to buy/sell up to 3 days each year ● Generous accommodation discount, so you can explore for less ● Bonus package ● Pension with up to 10% matched company contribution ● Huge learning and development platform tailored to you ● Shopping and leisure discounts through Perkbox ● Interest free travel loans/discounted car parking ● Competitive maternity/paternity/adoption leave ● Flexible working, including working from home ● Wellbeing focus, with weekly onsite yoga, outdoor terrace, games room and massage chair ● Mental health first-aiders and free face-to-face support

Location: Remote working in USAWork Schedule: Full-time, Monday to Friday, 9 AM to 5 PM, PST (Pacific Standard Time) Experience: Previous experience in data annotation or content review is a plus Education: Bachelor's degree required Contract duration: Until June 2026.Compensation: 20 USD/hour Does this sound like you?Are you looking for remote, work-from-home jobs? Are you interested in helping to improve the reliability of today's AI models? If yes, then this opportunity is for you! What we are looking for!RWS Group is looking for USA-based Italian Data Annotators to annotate, evaluate and curate text, video and geographic data. This information will be used to train and improve generative AI and machine learning models. This role requires close collaboration with RWS Project Managers and client stakeholders through regular video meetings to ensure alignment, quality, and continous improvement. Responsibilities: - Annotate data accurately and consistently according to predefined guidelines in the required language.- Perform basic research as needed to ensure accurate annotation.- Provide feedback regarding observed patterns in the annotated data and contribute to continuous improvement of the data annotation process.- Maintain high attention to detail and quality throughout the annotation process.- Continuous learning and adaptability; willingness to provide feedback and ask questions.- Training will be provided post-hire.- Collaborate closely with RWS Project Managers and client stakeholders through regular video calls to discuss guidelines, quality expectations, and project updates. Work benefits:- Work from home, full time.- Work-life balance - maintain your lifestyle while you work.- Timely payments made directly to your bank account.- Laptop will be provided. Job Requirements- Native-level proficiency in Italian.- Excellent comprehension and written communication skills in English. Additional language knowledge is a plus. - Ability to work full time, from 9 AM to 5 PM, PST (Pacific Standard Time).- Bachelor's degree or equivalent work experience required.- Familiarity with Excel or Google Sheets, including basic formulas.- Good general communication skills. - Detail-oriented with the ability to understand and follow instructions.- Ability to meet deadlines.- Responsible, reliable, and communicative.- Must successfully pass a client exam and interview with the hiring team as part of the selection process. - A personal laptop/desktop to access RWS systems. Preferred Qualifications:- Familiarity with the Appen Annotation Platform (ADAP) and machine learning principles.- A broad range of interests with specific areas of expertise is a plus.- Experience in a professional work environment.- Previous experience with data annotation tasks.RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics. #LI-PR1505

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. Meet the team: The Data Science and Biostatistics team is at the heart of turning complex clinical data into insights that help bring life-changing technology to patients. As a Sr Staff Data Scientist, you'll collaborate with an exceptional, multidisciplinary group of Biostatisticians, Data Scientists, Statistical Programmers, Clinical Data Managers, and Medical Writers to solve meaningful, real-world problems. This is a fast-paced, highly collaborative environment built for curious, driven individuals who want their work to directly influence innovative medical technology-and ultimately improve lives. Where you come in: You contribute to the development and continuous improvement of data infrastructure for clinical studies and real-world data sources (e.g., EHR), and you lead the research, prototyping, and development of machine learning and AI models aligned to business needs. You lead statistical analysis planning and execution for clinical studies, including study and endpoint design, sample size and power calculations, and the creation and review of statistical analysis plans. You oversee the production and review of tables, figures, and listings, interpret results, and proactively address limitations in study design or statistical methods. You review and provide input on clinical protocols and CRFs, ensuring overall data integrity and high-quality statistical analyses that support abstracts and peer-reviewed manuscripts. You leverage scientific literature as a research methodology to inform data science approaches, statistical method development, and analyses for clinical studies and real-world evidence. You guide and support junior data scientists and biostatisticians through mentorship, collaborative problem-solving, and knowledge sharing. You provide statistical consultation and thought leadership to cross-functional partners in R&D, engineering, marketing, manufacturing, medical science, and with external collaborators. What makes you successful: You bring strong proficiency in statistical methods, applications, and programming, with experience applying complex statistical techniques to real-world problems. You think strategically and can evaluate and apply the most appropriate analytical or modeling approaches to solve ambiguous and challenging business questions. You are able to work independently and lead clinical data science or biostatistics project teams with minimal oversight, driving work forward from concept through delivery. You have extensive knowledge of advanced data science methods and experience exploring and applying AI/ML techniques to create meaningful business impact. You have a strong working knowledge and hands-on programming experience with SAS, R, and SQL; familiarity with additional languages such as Python is a strong plus. Your excellent communication and collaboration skills enable you to clearly explain complex analyses and insights to both technical and non-technical stakeholders. What you'll get: A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. A full and comprehensive benefits program. Growth opportunities on a global scale. Access to career development through in-house learning programs and/or qualified tuition reimbursement. An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve. Travel Required: 5-15% Experience and Education Requirements: Typically requires a Bachelor's degree in a technical discipline, and a minimum of 8 - 12 years related experience or Master's degree and 5 - 7 years equivalent industry experience or a PhD and 2 -4 years of experience. Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option. Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at ****************************. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at ****************************. Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: ***************************************************** Code=MERITAIN_I&brand Code=MERITAINOVER/machine-readable-transparency-in-coverage?reporting EntityType=TPA_19874&lock=true To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications. Salary: $164,200.00 - $273,600.00