Principal Biostatistician remote jobs

As an experienced Principal Biostatistician in our sponsor-dedicated Flexible Solutions business unit, you are central to the successful delivery of complex clinical trials for renowned, innovative and global top pharmaceutical and biotech companies. In this role you will develop and review Statistical Analysis Plans for data presentation, analyses, and provide programming support to your multidisciplinary global project team. About the team You will be part of a long-lasting partnership with one of our top sponsors (a 10-years relationship) for which we pride ourselves on being the preferred provider. In this team, you will work with over 150 people globally, all with great experience and ready to support you at any given time since we work globally from the US to APAC. What else can you expect from us? Rewarding and meaningful work in an established, diverse, highly profitable and respected global company Highly competitive compensation packages, including various local benefits such as pension contributions, complimentary health insurance plans, remote working allowances etc. A genuine work life balance Flexibility in working hours A thorough onboarding with support from your personal mentor Excellent training and career development opportunities, as well as support with advancing your individual education Strong support from your Fortrea Line Manager and your team, as well as from more than 19,000 colleagues worldwide Your responsibilities: Lead complex studies such as New Drug Applications submissions or complex, multi-protocol programs, potentially coordinating activities across multiple locations, providing statistical oversight and attending relevant project meetings Perform project management activities for identified projects including resource planning, timelines and milestone management Serve as Data Monitoring Committee Support Statistician, developing DMC Charters and attending DMC Meetings, under direction of Statistical Consultants Lead the development of complex Statistical Analysis Plans, perform senior review of statistical analysis plans developed by other statisticians Conduct overall statistical review of Tables Figures and Listings for complex studies prior to client delivery Review Case Report Form and other study specific specifications and plans Develop the statistical sections of the protocol for complex studies under the supervision of a statistical consultant Preparation and review of randomization specifications and generation of randomization schedules Provide mentoring and training to less experienced staff; provide direction and review work of departmental employees to ensure accuracy and adherence to pertinent departmental policies, practices, and procedures Present and share knowledge at monthly seminars and/or team meetings and at external scientific meetings and conferences Attend bid defense meetings for complex studies Act as Subject Matter Expert and develop or review procedural documents, or work on new initiatives Represent the department during audits. Your profile: Degree in a relevant field such as statistics, biostatistics, public health, etc. Masters degree strongly preferred. Solid experience (10+ years) of working as a Lead Biostatistician in either a biotech, CRO or pharmaceutical company Ability to program in one or more statistical software packages (SAS ) used to conduct statistical analyses; SAS proficiency including use of a variety of statistical procedures e.g., non-parametric analysis, linear and non-linear models, categorical data and survival analysis Proven professional experience with SDTMs, ADaM datasets and TFLs Proven ability to effectively communicate statistical concepts A good knowledge of the overall clinical trial process Competence in the preparation of Statistical Analysis Plans, analysis, reporting, etc. across a variety of trials Strong organizational skills, an autonomous and collaborative work style, a curious mind and a keen attention to detail Business fluency in English - both verbal and written - is a must Physical Demands/Work Environment: Work Environment: Work is performed in an office environment with exposure to electrical office equipment. Occasional drives to site locations with occasional travel both domestic and international. Physical Requirements: Frequently stationary for 6-8 hours per day. Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists. Occasional crouching, stooping, with frequent bending and twisting of upper body and neck. Ability to access and use a variety of computer software developed both in-house and off-the-shelf. Light to moderate lifting and carrying (or otherwise moves) objects including luggage and laptop computer with a maximum lift of 15-20 lbs. Regular and consistent attendance. Varied hours may be required. Pay Range: $130,000-$150,000 USD base annual salary (US Candidates only) Benefits: All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Regular, full-time or part-time employees working 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(K), ESPP, Paid time off (PTO) or Flexible time off (FTO), Company bonus where applicable. The application deadline is December 15, 2025. #LI-REMOTE #LI-LL1 Learn more about our EEO & Accommodations request here.

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Parexel is hiring a Principal Biostatistician to work remotely. The Principal Biostatistician works independently on all level complexity clinical trial projects, often with major regulatory impact. The person will be recognized internally and externally as a statistical expert. Location: United States - Remote Key Accountabilities: Operational Execution Provide broad statistical support, including trial design, protocol and CRF development on specific studies Lead production and quality control of randomization, analysis plans, statistical reports, statistical sections of integrated clinical reports and other process supporting documents Perform sample-size calculations, generate randomization lists and write statistical methodology sections for inclusion in study protocols Provide statistical input into Data Monitoring Committee (DMC) activities, including development of DMC charters and analysis plans Provide a supporting role as a non-voting independent statistician providing data and analysis for DMC review Business Development Support of Business Development, by actively contributing to study design considerations in internal and client meetings, providing and discussing sample size scenarios, support of budget and proposal development, attending and preparing bid defense meetings General Activities Understand regulatory requirements related to the specific therapeutic areas and the implications for statistical processing and analysis Understand, apply and provide training in extremely advanced and sometimes novel statistical methods Contribute to the development and delivery of internal and external statistical training seminars and courses Review position papers based on current good statistical practice Interact with clients and regulatory authorities Review publications and clinical study reports Travel to, attend, and actively contribute to all kind of client meetings as appropriate (e.g. discussing analysis concepts, presenting and discussing study results) Additional responsibilities as defined by supervisor/manager. Skills: Good analytical skills Good project management skills Professional attitude Attention to detail Thorough understanding of statistical issues in clinical trials Ability to clearly describe advanced statistical techniques and interpret results Familiarity with regulatory/research guidelines on drug development, GCP, and statistical principles (especially ICH guidelines) Prior experience with SAS programming required Ability to work independently Good mentoring/leadership skills Good business awareness/ business development Knowledge and Experience: PhD or MS in Statistics or related discipline with substantial experience The knowledge of pharmacokinetic data is an advantage Competent in written and oral English in addition to local language Education: PhD in Statistics or related discipline, MS in Statistics or related discipline EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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

Job Details Main Corporate Office - Malvern, PADescription Job Purpose: The Principal Biostatistician is a key member of Ocugen's clinical development team. This individual will be responsible for providing statistical services including analysis, interpretation, design, and reporting or communication of data evidence for research, development, and/or marketed product. The individual should be able to ensure application of appropriate statistical methods given the hypothesis and available data through programming in SAS, or R. This individual will work closely with the Director of Biostatistics, the rest of the team at Ocugen, and CROs to execute the statistical and data needs of the clinical studies. Duties and Responsibilities: Collaborates on implementation and analysis of statistical aspects of research protocols. Provides statistical consultation for clinical programs. Performs sample size and power calculations, and provides input on Study Protocols. Develops statistical analysis plans, including detailed textual description of planned analysis and mock-ups of data displays. Assists in development of CRFs, programming specifications, and additional study documents related to data flow and analyses. Performs statistical analyses, including hypothesis testing and modeling. Provides tabular and written summaries of analyses and statistical methodology. Reviews and provides comments on statistical summaries. Interface with CRO ensuring data and statistical reporting is secure and timely. Provides input to project timelines, and ensures that project timelines for biostatistics deliverables are met. Ensures that project tasks are completed with acceptable quality. Attends team meetings and represents departmental needs for assigned projects. Participate in study and department meetings. May assist in developing policies and procedures (SOPs). Additional tasks and projects as requested. Qualifications MS/MA degree in Biostatistics. 5+ years of research experience working as Biostatistician, or Statistical Programmer Ability to synthesize results in graphic, oral, and written reports Exceptionally strong statistical programming in SAS Experience programming in other languages, such as R, SQL, Matlab Strong knowledge of GCPs, ICH, FDA, and CDISC regulatory requirements governing clinical studies Demonstrated attention to detail and outstanding organization skills Self-motivated with a commitment to high quality, on-time deliverables Excellent communication and collaboration skills with a team-oriented approach Demonstrated ability to identify and resolve issues and effectively manage timelines Working Conditions: This position operates in an office setting, in person. Remote work will be limited. Job may additionally require incumbent to be available outside of these hours to handle priority business needs. Physical Requirements: This is a largely sedentary role. Ocugen is an equal opportunity employer. In order to provide equal employment and advancement opportunities to all individuals, we make all of our employment decisions based upon merit, qualifications, abilities, and an individual's conduct and performance. We will not make any of our decisions, and will not discriminate against any employee or applicant, on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy), gender (including sexual orientation, gender identity and status as a transgender or transsexual individual), age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected from discrimination under the law. Ocugen complies with applicable federal, state and local laws governing nondiscrimination in employment.

JMP, a subsidiary of SAS, is committed to empowering scientists and engineers via our world-class family of statistical software products. For over 35 years, JMP has enabled customers to speed new drugs to market, to design better products and processes, and to figure out how to restore ecosystems. Advancements are made when brilliant people use JMP statistical discovery software to see what they've not seen before. If you are a problem solver, a connector, and someone who enjoys helping others, then you might just be the next person to join this dynamic, growing, and global team. We are hiring a Research Statistician Tester to support our growing development teams! As a JMP Research Statistician Tester you will: Work directly with Research Statistician Developers to independently validate the numerical accuracy of statistical algorithms in various statistical platforms during the software development life cycle. Ensure the quality and functionality of software that is used to make critical decisions by engineers and scientists around the world. Consume technical and scientific literature, maintain statistical test code, and participate in the statistical documentation review process. Understand the needs of JMP's user base and give usability feedback to make data-based analytical problem solving accessible to a wide audience. Engage in independent and collaborative research to support software development, enable user engagement, and demonstrate JMP's statistical capabilities, which may be presented internally and/or externally. Stay current with upcoming and maturing technologies within JMP and across the industry. Required qualifications: PhD/MS in Statistics or a related quantitative field such as Mathematics, Industrial Engineering, Software Engineering, etc. Knowledge of statistical methods in areas such as linear and nonlinear models, multivariate statistics, statistical quality control, data management and screening methods, etc. Experience using JSL, R, SAS, or Python programming languages at an intermediate to advanced level. Preferences In addition to a broad statistical background, training or experience in any of the following is also considered but not required: Time Series, Statistical Quality Control, Reliability, Bayesian Methods, Machine Learning, Optimization, and Design of Experiments (DOE). Additional: Ability to work in a team environment and collaborate with other members in Statistical Research and Development including developers, testers, and writers. Ability to conduct independent research and testing, gather and synthesize information from multiple sources, and provide constructive feedback to the development team. Ability to learn new statistical programming languages as needed. Ability to take ownership of the statistical areas you are responsible for and independently ensure their quality has been assessed. Ability to adapt to changing priorities and software development deadlines. Strong verbal and written communication skills. Strong time management and organizational skills. *The level of this position will be determined based on the applicant's education, skills and experience. World-class benefits Highlights include... Comprehensive medical, prescription, dental and vision plans. Medical plan options include: PPO with low annual deductible and copays. HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center). Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge! An industry-leading 401k plan. Tuition Assistance Program and programs and resources to support your development Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1. Volunteer Time Off, parental leave and unlimited paid sick days. Generous childcare benefits for all full-time employees. You are welcome here. At SAS and JMP, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Additional Information: JMP is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. Equivalent combination of education, training and experience may be considered in place of the above qualifications. Resumes may be considered in the order they are received. JMP employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, JMP may obtain nationality or citizenship information from applicants for employment. JMP collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. To qualify, applicants must be legally authorized to work in the United States. All valid JMP job openings are located on the Careers page at ************ JMP and SAS only send emails from verified “jmp.com” and "sas.com" email addresses and never ask for sensitive, personal information or money. Should you have any doubts about the authenticity of any type of communication from, for, or on behalf of JMP, please contact us at ************************* before taking any further action. #JMP

NV5 is a provider of engineering and consulting services to public and private sector clients, delivering solutions through six business verticals: Testing, Inspection & Consulting; Infrastructure; Utility Services; Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities where we live and work. As engineers, architects, construction/program managers, environmental professionals and beyond, we play a significant role in shaping our communities through the services we provide. We are looking for passionate, driven individuals to join our team focused on Delivering Solutions and Improving Lives. Whether you call it “radiation safety,” “radiation protection” or “rad con,” we are internationally recognized experts in the niche technical field of health physics and have supported thousands of ionizing and non-ionizing radiation-related projects since 1994. NV5 has the expertise and experience to quickly understand your issues, develop practical approaches, and implement cost-effective solutions. Federal agencies, government contractors, commercial customers, and academic and professional organizations rely on NV5 for a wide range of needs, and we lend our expertise however and wherever it is needed. We are seeking a Statistician/Health Physicist for our dynamic team. In this role, you will work closely with your team to provide statistical and historical data on radiation and radioactive materials to both technical and non-technical stakeholders. Please note: This role is remote and requires the selected candidate to be a U.S. citizen. Responsibilities Provide support to a group of health physicists and statisticians who are reconstructing historical exposures of workers to radiation and radioactive materials in the workplace Analysis of environmental and occupational radiation exposure data Analysis of left-censored data Data mining from historical exposure records Qualifications Master's degree in statistics (or related field) or Bachelor's degree in statistics (or related field) 3 years of experience Ability to think critically and problem solve Ability to communicate (written and verbal) technical concepts clearly and effectively with statisticians and non-statisticians Programming experience (R preferred) Please be aware that some of our positions may require the ability to obtain a D.O.E. credential that may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DESIRED SKILLS Experience in health physics and/or environmental monitoring Experience with U.S. Department of Energy (DOE), U.S. Atomic Energy Commission (AEC), and U.S. Energy Research and Development Administration (ERDA) records systems. Knowledge of internal and external radiation exposure monitoring The pay range for this position is $80,000 to $110,000 per year. Base pay offered may be higher or lower depending on job-related knowledge, skills, experience, and location of the candidate. Restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. All local employment laws apply. Base pay information is based on market location. Applicants should apply via the NV5 careers site. NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, PTO, 401(k) and professional development/advancement opportunities. NV5 provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. NV5 complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. #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

Akkodis is seeking a Remote Medical Device Statistician for a 12-month contract job, with possible extension yearly through 2028, or conversion after 12 months, with a client in Bloomington, IN. You will support functional areas in proper implementation and execution of statistical techniques used throughout the lifecycle of a medical device. You will revise policies and procedures on statistical techniques including Hypothesis Testing, Confidence Limits, Sample Size Determination, Design of Experiment, Process Capability, Measurement System Analysis, Acceptance Sampling, Statistical Process Control, etc. Rate Range: $30.54/hour to $47.50/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Remote Medical Device Statistician job responsibilities include: * Develop required training and participate in execution of training * Support various production, engineering, quality, and technical teams in the evaluation of data and problem-solving * Assist with design and execution of statistical analysis * Approve protocols and reports as required by the quality system (i.e. independent statistical reviewer) * Ensure that sampling methods are adequate for their intended use * Communicate with non-statisticians on proper use of statistical methods and interpretation of results * Develop and apply complex statistical techniques as needed and demonstrate the statistical validity of these techniques. * Effectively present and document complex subject material * May interface with internal, 3rd party audits e.g. FDA, Notified Body, etc) * Manage conflict resolution as it relates to technical situations * Must work and interact effectively and professionally with and for others throughout various levels of the global organization * Must maintain company quality and quantity standards * Ability to work in collaborative and independent work situations and environments with minimal supervision Desired Qualifications: * M.S. in Statistics or above preferred, Bachelors or above in related scientific discipline may be considered with appropriate working experience. One to five years of experience required (Pay scale based on experience). * Previous experience must include direct responsibility with application of statistical techniques within development and manufacturing role. * Demonstrated knowledge of medical device regulation (ISO 13485, 21CFR) and risk management (ISO 14971) * Working knowledge of statistical software, experience with MiniTab preferred * Proficiency in the Microsoft Office suite of products (Word, Excel, PowerPoint, and Outlook) preferred. * Must have effective oral, written and presentation communication skills * Must have excellent analytical and problem-solving skills * Critical thinking and attention to detail required * Ability to remain calm and receptive in fast paced situations If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis go to **************** Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Pay Details: $30.54 to $47.50 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Northern California Institute for Research and Education (NCIRE) is the leading nonprofit research institute in the United States devoted to advancing Veterans health research. NCIRE is part of one of the world's most dedicated and successful Veterans care communities, pioneering new treatments and understandings of military medicine and care. Along with our partners at the San Francisco VA Health Care System and the University of California, San Francisco, we are working to discover and develop effective, safe, and practical treatments for military injuries and diseases affecting Veterans. Through new technologies, novel scientific insights, and international clinical collaborations, we strive to set a new standard of health care research for Veterans and military personnel. Position Definition: We are seeking a full-time Statistician with expertise in epidemiology, biostatistics, and/or bioinformatics to join an active research program based at the San Francisco VA Medical Center and the University of California, San Francisco. The position supports two NIH- and VA-funded research teams, within the areas of Infectious Disease and Hepatology, who are conducting high-impact studies using large-scale electronic health record and administrative data (“big data”), and other large relation datasets, to address clinically and biologically relevant questions related to the epidemiology of liver and infectious diseases, as well as healthcare utilization and outcomes research. The candidate will work with national VA Corporate Data Warehouse (CDW) data, linked Centers for Medicare & Medicaid Services (CMS) claims, and other large relational datasets. Responsibilities include constructing clinical cohorts; extracting, cleaning, linking, and managing complex datasets; applying modern epidemiologic and biostatistical methods (e.g., survival analysis, longitudinal/multilevel modeling, competing risks regression, and causal inference approaches such as propensity score and inverse probability weighting); and developing reproducible workflows and documentation. Projects may also incorporate predictive modeling and machine learning approaches, and candidates with interest in AI applications (e.g., trustworthy AI, explainable AI, privacy-preserving analytics) will find opportunities to contribute. The position requires strong skills in relational database querying (SQL) and statistical programming, with a preference for R and/or SAS. The successful candidate will have experience defining study cohorts and variables from raw EHR/administrative data, selecting appropriate analytic methods, and troubleshooting data or programming issues. They will also have the organizational skills to annotate code, maintain version-controlled documentation, and manage multiple concurrent projects. The Statistician will collaborate closely with faculty, research fellows, clinical research coordinators, study managers, and other statisticians, including existing analysts in each PI's team who will assist with onboarding and orientation. Members of the research group have joint appointments between UCSF and the San Francisco VA Medical Center. This is an opportunity to join a dynamic, collaborative research environment at the intersection of medicine, biology, data science, and public health, with the potential to shape analyses that inform national, even international, healthcare policy and patient care. Essential Functions: Extract, clean, merge, and manage complex large-scale datasets from relational databases, including the VA CDW and CMS claims data. Develop and maintain reproducible data processing pipelines, including thorough annotation of code and detailed documentation of analytic steps. Write, test, and optimize SQL queries to extract and join data from complex relational databases. Conduct statistical analyses in R and/or SAS (preferred), with possible use of Stata or Python as appropriate. Apply advanced statistical methods, including survival analysis, longitudinal/multilevel models, competing risks regression, and causal inference methods (e.g., propensity scores, inverse probability weighting). Define study cohorts, exposures, outcomes, and covariates from raw administrative and EHR data sources. Collaborate with investigators to design analysis plans, interpret results, and ensure scientific rigor. Generate tables, figures, and statistical summaries for manuscripts, conference presentations, and grant applications. Assist in drafting statistical and methods sections for manuscripts and funding proposals. Ensure compliance with VA and UCSF data security policies and data use agreements. Work with other statisticians and analysts to share best practices and improve workflows across projects. Job Requirements: Master's degree in Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer/Data Science, or related field; or equivalent combination of education and experience. At least 3 years of experience in data management and statistical analysis of large, complex datasets. Proficiency in R and/or SAS, with working knowledge of SQL. Demonstrated ability to extract, join, and manipulate data from large relational databases. Experience with data cleaning, cohort definition, and creation of analytic variables from large datasets. Knowledge of and training in advanced statistical techniques, including survival analysis, longitudinal/multilevel modeling, competing risks regression, and causal inference approaches. Strong organizational skills and meticulous attention to detail, including ability to create clear, well-annotated code and maintain thorough documentation. Ability to provide custom designed reports and graphical presentation of data. Ability to manage multiple projects simultaneously and meet deadlines. Strong written and verbal communication skills, with ability to explain analytic methods and results to non-technical audiences. Ability to work both independently and collaboratively within a multi-disciplinary research team. Commitment to confidentiality and compliance with data security protocols. Preferred: Experience with VA datasets, CMS claims, or other large-scale healthcare databases. Familiarity with hepatology, infectious disease, or related clinical research areas. Interest in predictive modeling, machine learning, or AI methods. Working Conditions/Environment: Primary work location at the San Francisco VA Medical Center, with potential for hybrid or remote work as permitted by VA and UCSF policy. Standard work hours: Monday-Friday, 8:00 AM-5:00 PM, with flexibility as needed to meet project deadlines. Work is performed primarily at a computer in an office or secure remote computing environment. Frequent use of secure VA computing systems and compliance with strict data security protocols. Collaboration with faculty, research staff, statisticians, and IT/data management personnel across UCSF and VA. May require occasional travel to UCSF campus or other research sites for meetings or training. VA Onboarding Requirements: NCIRE is an affiliate organization of the San Francisco VA Health Care System (SFVAHCS), which requires all candidates to complete SFVA onboarding in addition to NCIRE's onboarding process. The SFVA is a federal agency that requires a federal background check, occupational health clearance, vaccines and immunizations, and drug testing for certain positions. Drug testing may include screening for marijuana which remains an illegal substance according to federal law. The failure to pass required drug testing will disqualify candidates from employment. The base wage range for this position is $32.00 - $58.53 per hour. The wage actually offered to a successful candidate will take into account various relevant and non-discriminatory business factors including, without limitation, the candidate's geographic location, job-related experience, knowledge, and skills, and education, as well as internal equity considerations. A successful candidate may also be eligible to earn additional compensation including bonuses. NCIRE is an Equal Opportunity Employer. This position requires access to United States Government research under the Veterans Administration. Per Veterans Administration regulations surrounding access to US research, qualified US Citizens will be selected over other individuals eligible to work in the United States. If you are eligible to work in the United States, you may still be considered for this position but only if no qualified US citizens apply.

Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description AECOM is actively seeking an experienced Senior Ecologist/Statistician to join our California Natural Resources Group. This is a full-time, remote position that can be based anywhere within the Western Region of the U.S. and will report directly to our Southern California NR team. This position would support numerous natural resource projects throughout the western United states, including California, the Great Basin region, and the southwest. There may be the potential for occasional field work through the western United States. Primary duties will be threefold: 1) eagle and listed species impact assessments and permitting, 2) statistics and modeling, 3) raptor studies. The position will lead complex permitting and compliance projects focused on Golden and Bald Eagles, federally listed species covered under the Endangered Species Act and state-sensitive species. Responsibilities will require a working knowledge of leading impact assessments and developing permitting strategies, preparing permit applications and background technical materials, maintaining permit compliance, and performing associated task/client management duties. The position will require a strong background in ecological statistics and modeling including proficiency with statistical software (e.g., R, SAS, SPSS) and modeling approaches such as general linear and Bayesian models. Responsibilities will also include directing raptor studies such as nest monitoring, avian use surveys, post-construction mortality monitoring, and protocol surveys for such species as Swainson's Hawk, Golden and Bald Eagles, and Burrowing Owls. Other focuses may include supporting development of Resource Conservation Plans, Eagle Conservation Plans, Habitat Conservation Plans, and Bird Bat Conservation Strategies. Candidate will coordinate with clients and resource agency staff, lead complex permitting projects involving eagles and other listed species and participate in public review processes. Projects and clients can include renewable energy, transportation, and energy transmission sectors, with an emphasis on clients in the public sector such as federal and municipal entities. Responsibilities include but are not limited to: Manages projects with complex permitting needs and large-scale field efforts Oversees or authors advanced technical documents such as Eagle Conservation Plans, Habitat Conservation Plans, Biological Assessments, Bird Bat Conservation Strategies, Incidental Take Permit Applications, etc. Develops monitoring plans, avoidance/minimization strategies and adaptive management approaches for eagles, other raptors, and listed wildlife species Develops electronic data collection protocols and effectively manages large volumes of data Establishes and oversees robust QA/QC protocols Conducts modeling and analyses on large datasets to inform impact analyses and mitigation approaches, particularly for raptor impacts, and ultimately permitting approaches Directs a large team to complete field studies for raptors Tracks project financial performance and identifies trends and deviations to project team with recommended corrective courses of action Operates as primary point of contact for clients and resource agencies on projects Performs client management duties such as recurring status meetings, milestone check ins, and day-to-day interfacing Candidate will contribute to growth of department through marketing pursuits including proposal preparation, interviews, and business development Performs project management duties such as forecasting, tracking, accounting updates, invoicing, progress reports, and scheduling Develops work breakdown structure for control and integrity of work to be performed as and defined by the contract About AECOM's Environment Business Line Join AECOM to be part of an expert global team who is connected through a well-developed, worldwide, internal technical practice network through which you can learn from and brainstorm with the best in the world. AECOM is an industry-leading, world class environmental firm, and we want you to succeed within it. We respect and encourage your own pathway to excellence via our Freedom to Grow initiative. AECOM is known for our award-winning technical excellence, leading-edge science and innovative project delivery. We provide sustainable solutions for some of the world's most challenging issues. Our global clients and their projects span a variety of market sectors and geographies and require innovative technical solutions to solve wide-ranging environmental problems. Qualifications Minimum Qualifications: Bachelor's degree in related field (biology, ecology, or project management/controls). 6 years of relevant experience or demonstrated equivalency of experience and/or education in natural resources/project management. Valid U.S Driver's license is required for this role. Preferred Qualifications: Master's degree or PhD in related field (biology, ecology, etc.). 10+ years of experience in natural resources/project management. Master Banding Permit (with authorization for Golden Eagles and raptors). Experience with protocol wildlife surveys, habitat assessments, and/or botanical surveys. Previous or current experience working in California. Prior environmental consulting experience is highly desired. Data management experience, including electronic data collection in field; managing large data sets. Willingness to work with multiple colleagues on a variety of initiatives. Successful marketing/business development experience. Ability to work in a high-paced environment where changing client priorities result in the need to determine creative ways to get the job done. Candidate must be flexible and willing to support multiple projects. Team player with excellent listening skills and diplomacy. Additional Information Due to the nature of the work, US Citizenship is required. Please note that this role can be based anywhere in the Western United States and compensation data will vary in each location, including higher or lower than the stated range. About AECOM AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients' complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com. What makes AECOM a great place to work You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you'll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you've always envisioned. Here, you'll find a welcoming workplace built on respect, collaboration and community-where you have the freedom to grow in a world of opportunity. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.

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

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 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.

Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: MBI (T2) Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Modeling Software, Data Modeling Tools, Data Model Testing Certifications: None Experience: 8 + years of related experience US Citizenship Required: No Job Description: Seize your opportunity to make a personal impact as a Data Modeler supporting the United States Postal Service. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. At GDIT, people are our differentiator. As a Data Modeler, you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Modeler joining our team to design, construct, and maintain complex databases and systems in support of the USPS Information Technology. HOW A DATA MODELER WILL MAKE AN IMPACT Design and Develop: Create and manage conceptual, logical, and physical data models for large-scale business applications and data warehouses. Collaborate: Work closely with data architects, product owners, data engineers, and business stakeholders to align data models with business needs and ensure efficient data usage. Analyze and Map: Perform data analysis, data profiling, and source-to-target data mapping to understand data flows and develop transformation rules. Ensure Standards: Document and continuously improve data architecture systems, ensuring compliance with data governance, security, and privacy standards. Support & Troubleshoot: Provide support for existing data models, perform impact analysis, and assist in identifying and resolving data-related issues. WHAT YOU'LL NEED TO SUCCEED: Education: Bachelor's degree; OR in lieu of degree, an additional 4 years of relevant work experience is required Required Experience: 8+ years of minimum relevant experience. 2+ years of professional experience in data modeling or related data management roles. Bachelor's degree in computer science OR 4 additional years of experience in lieu of degree. Required Technical Skills: Expertise in various data modeling techniques and methodologies (e.g., 3NF, dimensional modeling, Data Vault). Proficiency with data modeling tools such as ERwin, PowerDesigner, or similar. Strong knowledge of SQL and experience with relational database management systems (RDBMS) like Oracle, SQL Server, or Snowflake. Experience with ETL/ELT processes and tools (e.g., Informatica, DataStage). Solid analytical, problem-solving, and critical thinking skills. Strong communication and technical documentation writing skills. Experience working in Agile/Scrum development methodologies. Preferred Skills: Experience with NoSQL databases like MongoDB. Familiarity with cloud-based data platforms (e.g., GCP, Azure, AWS, Databricks). Knowledge of AI/ML-enabled data architectures. Security Clearance Level: Must be able to obtain and maintain a Public Trust and successfully pass a thorough Government background screening process requiring the completion of detailed forms and fingerprinting This position has a U.S. residency requirement. The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last five years as follows: U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years. Location: Remote GDIT IS YOUR PLACE: 401K with company match Comprehensive health and wellness packages Internal mobility team dedicated to helping you own your career Professional growth opportunities including paid education and certifications Cutting-edge technology you can learn from Rest and recharge with paid vacation and holidays #DataModeler #zxc726 The likely salary range for this position is $94,676 - $128,092. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Responsibilities: Design and develop robust and scalable data models on the Snowflake platform to support the current and future reporting needs of Workplace Investing. Collaborate closely with business analysts, report developers, and data engineers to understand data requirements and translate them into efficient and effective data models. Develop conceptual, logical, and physical data models, ensuring alignment with best practices and data governance standards. Optimize data models for performance, scalability, and ease of use for Power BI reporting. Participate in data mapping and data lineage activities to ensure data integrity and traceability during the migration process. Contribute to the development and maintenance of data dictionaries and metadata repositories. Identify and resolve data modeling issues and provide recommendations for improvements. Stay abreast of the latest data modeling techniques and technologies relevant to Snowflake and cloud-based data warehousing. Participate in the testing and validation of data models. Provide support and guidance to report developers on data model usage and interpretation. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience 7+Years in data modeling for data warehousing and business intelligence projects. Strong expertise in developing conceptual, logical, and physical data models (e.g., dimensional modeling, relational modeling, star schema, snowflake schema). Hands-on experience working with Snowflake as a data warehousing platform. Familiarity with data integration processes and tools. Understanding of data governance principles and practices. Excellent SQL skills for data querying and analysis. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills, with the ability to effectively interact with both technical and business stakeholders. Experience working in an Agile development environment is a plus. Prior experience with Power BI or other data visualization tools is beneficial. Knowledge of financial services or investment management data is a plus. Compensation, Benefits and Duration Minimum Compensation: USD 35,000 Maximum Compensation: USD 123,000 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 not available for independent contractors No applications will be considered if received more than 120 days after the date of this post

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: 30 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 Dutch 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. 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. 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 Dutch.- 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