Verrus Data Jobs in Usa

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Open date: February 24, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

This postdoctoral opportunity brings together faculty from UC Berkeley's School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D-Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2-year college, and 4-year university contexts. A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students.

We seek applicants with complementary relevant skill-sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high-quality, ethical Data Science Education teaching, curriculum, and scholarship. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this positon.

The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non-academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.

Duties of Position:

Year 1: Researchers will work with specialists among the faculty in Computer Science, Data-Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.

Year 2: Researchers will engage with a year-long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title. They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley's annual Data Science Education convening.

Department:

Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.

Doctoral degree (or equivalent international degree). No more than three years of post-degree research experience by start date.

*Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical computing tools and languages.

*Teaching or tutoring experience at K-12, community college, and/or university levels.

*Experience with a variety of educational institutions (e.g. regional, or liberal arts colleges; 2-year colleges; high schools; informal learning environments).

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Letter of interest - One page long, detailing professional goals and aspirations for research given what they know of the opportunity

  
  

• 2 required (contact information only)

References will only be contacted for those candidates under serious consideration. Letters of support should speak to the candidate's strengths with respect to both disciplinary experience (e.g. in Data Science, Computer Science, Statistics, and/or related fields) and experience in educational research and/or practice (e.g., as a tutor, curriculum developer, or related to academic studies in Education, Learning Sciences, Cognitive Science, Educational Psychology, or related fields).

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: November 21, 2025

Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Nov 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.

Courses are offered online:

• 
  
• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  
• Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
  

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.

Data Analytics and Data Science

• 
  
• Introduction to SQL
  
• Introduction to Databases
  
• Data Warehousing and Business Intelligence
  
• Data Visualization
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  
• R for Data Analysis
  
• Data Analytics Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning Using Python
  
• Machine Learning and Deep Learning
  
• Artificial Intelligence Foundations
  
• Data Science Capstone
  

Software Development and Advanced Software Development

• 
  
• Introduction to C Language Programming
  
• C++ Programming
  
• First Course in Java
  
• Programming Python
  
• Data Structures and Algorithms
  
• Front-End Web Development
  
• JavaScript Frameworks
  
• Modern Web Applications and Cloud Computing
  
• Software Design Patterns
  
• Software Quality Assurance
  
• Software Development Capstone
  
• Java: Discovering Its Power
  
• Mastering Python
  
• Back-End Development with Java/Python
  
• Web Software Security Frameworks
  
• Advanced Databases
  
• Advanced Software Development Capstone
  

Cybersecurity

• 
  
• Advanced Network Cybersecurity and AI Monitoring
  
• Cybersecurity AI Risk Management and Governance
  
• Automated Cybersecurity Incident Response and Digital Forensics
  
• Advanced Topics in AI Cybersecurity and Capstone
  

Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects

(please specify in your cover letter)

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).

• 
  
• For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
  

• 
  
• All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
  

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses

• 
  
• Bachelor's degree or equivalent international degree required.
  

• 
  
• 5 or more years of professional industry work experience since degree.
  

• 
  
• 6 or more years of professional industry work experience in the course subject.
  
• Advanced degree in course subject preferred.
  
• Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching online and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

• Curriculum Vitae or Resume - Your most recently updated C.V. or resume.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
  (Optional)

  
  

• Sample Syllabi and/or Teaching Evaluations (Optional)

  
  

• 
  
• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Role : Technical Product Manager ( Data / Analytics )

Location - Austin, TX ( Onsite )

Exp Req : 10+

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Clinical Data Scientist

Redwood City, CA (Hybrid potentially remote options)

Salary: $150,000-$190,000

No Sponsorship Available

About the Role

We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.

In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.

You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.

This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.

What You’ll Do

• Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
• Ensure outputs meet quality, compliance, and traceability standards.
• Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using SAS, R, or Python.
• Perform robust data cleaning and QC checks.
• Investigate anomalies and troubleshoot issues across the data pipeline.
• Distinguish between upstream extraction issues and true clinical variations.
• Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
• Serve as an early user and feedback partner for internal data tools.
• Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
• Support compliance and regulatory submission needs.
• Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
• Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.

What You Bring

• Education:
• BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
• Experience:
• 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
• Technical Strengths:
• SAS, R, Python, SQL
• Experience with Git/version control preferred
• Industry Knowledge:
• Familiarity with clinical trial workflows
• Strong understanding of CDISC SDTM/ADaM
• Oncology endpoints (RECIST, survival) and RWD experience is a plus
• Data Wrangling:
• Comfort “stitching together” messy, real‑world clinical datasets
• Experience with unstructured text or NLP outputs is desirable
• Soft Skills:
• Exceptional attention to detail
• Clear, structured communicator
• Proactive, self‑directed, collaborative

• The Director of BI and Data Services will be primarily managing Power BI and Epic Cogito. Preferred candidates would reside in Oregon with the ability to come onsite.

• We are open to considering candidates remote out of state in which we can employ in the following states: Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin

JOB SUMMARY/PURPOSE

• Oversees the design, implementation, and maintenance work of business intelligence, analytics, and data architecture managers. Responsible for the strategic leadership and direction of data architecture and business intelligence strategies to meet the data needs of the organization. Ensures system standards and compatibility with SHS information systems architecture, tools, policies, and procedures. Ensures that data initiatives align with organizational objectives and data governance policies and procedures. Responsible for budgeting of IS Business Intelligence and Data Services department, ensuring resources are allocated efficiently and cost-effectively to support the organization's goals. Leads maturation of Samaritan Health Services as a data driven, data literate health system, working with clinicians, business stakeholders, researchers, informaticists, IS colleagues, and others. Creates a culture of teaching, mentoring and professional development across the system. Maintains consultative, trusted-advisor relationships with stakeholders.

DEPARTMENT DESCRIPTION

• Information Services is committed to providing leadership, support and coordination of technology at Samaritan Health Services. The IS Business Intelligence and Data Services department provides comprehensive data support as a centralized resource for the organization. Services include data integration and warehousing, analytic reporting, business intelligence solutions, statistical data analysis, and data science solutions.

EXPERIENCE/EDUCATION/QUALIFICATIONS

• Bachelor's degree required (preferably in an Information Systems related field). An advanced degree in information systems, mathematics, statistics, analytics, engineering or a related field preferred.
• Eight (8) years professional and/or leadership experience in data analytics/business intelligence/data science required.
• Five (5) years experience in the management of technical resources required.
• Two (2) years experience in business intelligence/data science delivery required.
• Project management and continuous process improvement experience required.
• Experience with Epic Cogito strongly preffered.
• Experience in multiple data-related technologies required.
• Project management certifications preferred.
• Experience providing advanced business intelligence and data science solutions in a healthcare setting preferred.

KNOWLEDGE/SKILLS/ABILITIES

• Leadership - Inspires, motivates, and guides others toward accomplishing goals. Achieves desired results through effective people management.
• Conflict resolution - Influences others to build consensus and gain cooperation. Proactively resolves conflicts in a positive and constructive manner.
• Critical thinking – Identifies complex problems. Involves key parties, gathers pertinent data and considers various options in decision making process. Develops, evaluates and implements effective solutions.
• Communication and team building – Leads effectively with excellent verbal and written communication. Delegates and initiates/manages cross-functional teams and multi-disciplinary projects.

• Own and manage clinical data management activities for assigned early-phase oncology studies, ensuring data quality, integrity, and inspection readiness.
• Serve as the primary owner and administrator of the company’s Medidata platform, including Cloud Admin configuration and maintenance, user access management, etc.
• Provide oversight of EDC builds and updates, including review and approval of database specifications and edit check specifications, completion of UAT, etc.
• Develop and implement data review plans and coordinate ongoing external and internal data cleaning and query management activities.
• Review data listings to support study oversight and decision-making.
• Collaborate cross-functionally with Clinical Operations, Clinical Science, Biostatistics, Medical, and external vendors/CROs to ensure alignment and timely data delivery.
• Monitor data management metrics and reports to ensure compliance with protocols and study plans.
• Contribute to process improvement, SOP development, and inspection readiness activities as the clinical organization continues to scale.
  
  

• Bachelor’s degree in life sciences, data science, or a related field.
• 6+ years of clinical data management experience, with at least 3 years in oncology clinical trials.
• Prior experience in early-phase (Phase 1/1b/2) oncology trials within a biotech or CRO setting.
• Extensive hands-on experience with Medidata including Cloud Admin and Rave EDC.
• Elluminate administration experience a plus
• Strong understanding of CDISC standards.
• Experience working with CROs and vendors, including oversight of outsourced data management activities.
• Working knowledge of GCP, ICH, and regulatory expectations for clinical data.
• Highly detail-oriented with strong organizational and problem-solving skills.
• Adaptable mindset with interest in helping build and scale data management capabilities.
  
  

Job ID: 518652

Exempt

Oldcastle Infrastructure™, a CRH company, is the leading provider of utility infrastructure solutions for the water, energy, and communications markets throughout North America. We’re more than just a manufacturer of precast concrete, polymer concrete, or plastic products. We’re a trusted and strategic partner to engineers, contractors, distributors, specifiers, and more. With our network of more than 80 manufacturing facilities and more than 4,000 employees, we’re leading the industry with innovation and a safety-first mindset.

Job Summary

Oldcastle Infrastructure (OI), as part of CRH’s Infrastructure Products Group (IPG), is a global manufacturing leader of utility infrastructure products. Our goal is to be the most efficient producer of engineered systems and our customers’ strategic partner of choice. A crucial part of OI’s journey is the investment in a new ERP system. With a modern, common platform, OI will unlock the benefits of its scale, deliver a better customer experience, and build a foundation for continuous process improvement.

Data integrity is crucial to capturing the value of an ERP system. Master Data Specialist will be responsible for understanding how data should be created, maintained, interconnected, and utilized within the new system to satisfy the key needs of all stakeholders. During the ERP project, Master Data Specialist will play a crucial role in system validation and integration testing, by validating that business use cases are functioning as intended. They will support business stakeholders and process leaders by analyzing, validating, and displaying data so it can be most useful in driving business results.

Job Location

• This role will work hybrid out of our office in the Sandy Springs, GA area with periodic heavy domestic travel.

Job Responsibilities

ERP Design & Preparation

• Work with business process leads, key stakeholders and end users to understand end-to-end, cross-functional data requirements
• Ensure data requirements are captured in business use cases
• Participate in master data discovery, extraction, cleansing, conversion, and loading
• Support data augmentation as needed
• Support data visualization as needed
• Understand data bridge to legacy systems and reports, to support stakeholders and users as they adopt the new system

ERP Testing & Deployment

• Participate in User Review Testing and execute business scenarios
• Identify defects and issues
• Support business users with data integrity issues and questions during ERP go-live & hyper-care

Job Requirements

• 3+ years of master data and ERP system expertise, including:
• Data extraction, cleansing and loading
• Hands-on experience with SAP or part of another ERP implementation team
• 3+ years of business process experience, including:
• KPI reporting and data visualization to drive business results
• Data quality monitoring; master data governance
• Problem solving skills to identify and resolve the root cause of issues and creativity to drive continuous improvement
• Organized and accountable to ensure work is managed and deadlines are met
• Strong interpersonal skills
• Ability to communicate in a simple, articulate, thoughtful manner
• Innovative spirit to work cross-functionally in developing improvement ideas
• A pleasant, likeable manner while accomplishing challenging results
• Bachelor’s Degree in relevant discipline

What CRH Offers You

• Highly competitive base pay
• Comprehensive medical, dental and disability benefits programs
• Group retirement savings program
• Health and wellness programs
• An inclusive culture that values opportunity for growth, development, and internal promotion

About CRH

CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.

If you’re up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!

Oldcastle Infrastructure, a CRH Company, is an Affirmative Action and Equal Opportunity Employer.

EOE/Vet/Disability

CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

About the Job

Ecorobotix Inc. creates innovative robotic solutions that reduce the negative ecological impact of modern agriculture. We have developed an AI-based ultra-high precision spot spraying technology that drastically reduces the amount of chemicals used in crop fields while keeping costs competitive. The technology is currently deployed on our tractor-towed ARA machine. By joining our talented and dynamic team, you will contribute to a more sustainable, environment-friendly agriculture in an innovative scale-up at the cutting edge of technology. We are a revolutionary organization with a great work environment that supports creativity through self-motivation.

General Objective of the Role

Support the development of Ecorobotix’s turf-care system through collection of high-quality turf imagery and environmental data to support AI model training and validation. The Regional Turf Data Technician is responsible for building and maintaining relationships with golf courses, sod farms, sports fields to assess whether their facilities have the type of data that we need to photograph and obtain any permits needed to collect those photographs. The Regional Turf Data Technician will need to produce high quality and variety of images of desired turfgrass species and document pests based on business needs. This individual will work outdoors to ensure regular monitoring of turfgrass and associated pests within their geographical area.

Reporting Lines & Interactions

Reports Turf Data Team Manager, Turf Division. This role will collaborate with the AI and Crop Vision team as well as Turf Data Quality teams to ensure they are achieving data quantity and quality goals. The Regional Turf Data Technician will also collaborate with other members of the pre- and after-sales teams of Ecorobotix Inc. as required to scout for data collection locations. Externally, interaction with dealers, superintendents, turf farm managers, and athletic facility managers on turf facilities or at regional association meetings and trade shows is required.

Key Responsibilities

• Become data project specialist for your assigned region
• Collect turfgrass imagery according to defined protocols
• Operate and maintain camera and field data systems
• Work with sales team to collect data at turf facilities in assigned region
• Assist with analysis of future turfgrass model data collection and methods to improve data collection work flow
• Up to 70% required travel within given territory with occasional travel outside of territory based on business needs.

Qualifications

• 2+ years of experience in managing turfgrass field research data collection.
• Familiarity with turf management, turf weeds or agricultural imaging.
• Bachelor’s degree in turfgrass science, agronomy or horticulture
• Two or more years of experience in turfgrass management (e.g. golf course, lawn care, sports field, sod farm management)
• Have a strong knowledge or interest in turfgrass management and pest management
• Knowledge of IT tools (tablets with internal software, smartphones) to manage communications and necessary data.
• 2+ years of experience interacting with turfgrass managers
• Must have a clean driving record

Experience/Skills

• Technical proficiency with sensors and data tools.
• Ability to travel up to 70% and work outdoors in varying conditions in their region.
• Excellent organization and communication skills.
• Knowledge of turfgrass management techniques (knowledge of weeds, diseases, weed control methods, machinery and work on turfgrass managers in general)
• High degree of independence, reliability and initiative.
• Strong team spirit with a desire to work in a fast-paced environment.
• Analytical and structured approach to work with the ability to adapt quickly to changes
• Dedicated person with systematic, goal-oriented working methods
• Ability to manage multiple projects simultaneously and meet deadlines.
• Excellent written and verbal presentation skills with clear and consistent communication.
• Proficiency in Microsoft Excel, PowerPoint and Word
• Interest in precision turfgrass management and innovation in the golf and turf industry.