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Data Science Manager Remote Jobs in Dallas, TX (NOW HIRING)

Projects will also involve collaboration with the Information Technology and Data Science teams ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Data Collection and Management: * Gather and organize large sets of structured and unstructured ...

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Hybrid, mostly remote The Healthcare Data Analyst will be a key member of the Analytics Center of ... Adhere to data management and analytics best practices to ensure timely and accurate delivery of ...

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems ...

... data scientists, AI engineers, and analysts to manage data as an asset and optimize models and algorithms for data quality, security, and governance · Integrates data from different sources ...

Showing results 41-60

Data Science Manager Remote information

See Dallas, TX salary details

$30.7K

$96.1K

$170.1K

How much do data science manager remote jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science manager remote in Dallas, TX is $96,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,100.00 per year, depending on experience, location, and employer.

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a data science manager?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are the most commonly searched types of Data Science Remote jobs in Dallas, TX? The most popular types of Data Science Remote jobs in Dallas, TX are:
What are popular job titles related to Data Science Manager Remote jobs in Dallas, TX? For Data Science Manager Remote jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Dallas, TX look for? The top searched job categories for Data Science Manager Remote jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Science Manager Remote jobs? Cities near Dallas, TX with the most Data Science Manager Remote job openings:

Regulatory Data Manager

M/A/R/C Research, LLC

Plano, TX • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Regulatory Data Manager

Location: Remote (U.S.)
Department: Compliance & Data Management
Reports To: SVP, Compliance & Data Management

About Us

We are a leading marketing and regulatory research organization specializing in complex, high-quality studies that support business decision-making, public health initiatives, and regulated research programs. Our work combines advanced data collection technologies, rigorous quality standards, and defensible analytics to deliver reliable insights for clients across commercial, healthcare, and regulated sectors.

We are seeking an experienced Regulatory Data Manager (RDM) to lead the planning, implementation, quality control, and governance of regulated research data. This role ensures data integrity, regulatory compliance, audit readiness, and timely delivery of high-quality datasets and supporting documentation throughout the research lifecycle.

#LI-Remote

Position Summary

The Regulatory Data Manager is responsible for designing, managing, validating, reconciling, and reporting regulated research data from protocol development through database lock and final reporting suitable for client submission to the FDA. The role serves as the primary steward of study data, ensuring that data collection systems, documentation, quality controls, and deliverables meet regulatory, client, and internal quality requirements. This position collaborates closely with project management, field operations, biostatistics, analytics, compliance, and external stakeholders to support accurate, compliant, and submission-ready research execution.

Key ResponsibilitiesData Management

         Lead all data management activities across multiple regulated research studies.

         Develop and maintain SOPs, and manage drafting of:

o   Data Management Plans (DMPs)

o   Data Validation Plans

o   CRF/eCRF specifications

o   Data Review Plans

o   Database Lock Plans

o   Data Transfer Specifications

o   Any other client required plans and specifications

         Design, review, and validate electronic data capture (EDC) systems and online survey platforms.

         Ensure accurate mapping of protocol requirements into study databases and collection instruments.

         Manage study metadata, coding standards, edit checks, and validation rules.

         Oversee database development, user acceptance testing (UAT), and production deployment, including CRF design, EDC configuration support, validation checks, and comprehensive data documentation.

         Work with clients' electronic trial master file systems to ensure all data management documentation is correctly formatted, uploaded and quality assured.

Data Quality and Compliance

         Establish and monitor data quality metrics across studies.

         Conduct routine data review, cleaning, query generation, and discrepancy resolution.

         Support risk-based quality management processes and inspection readiness programs.

         Ensure compliance with:

o   FDA regulations

o   21 CFR Part 11

o   CDISC standards

o   HIPAA

o   ICH-GCP

o   GDPR (where applicable)

o   Internal SOPs and quality requirements, including documentation of data accuracy, integrity, security, audit trails, and regulatory compliance throughout the study lifecycle.

         Perform reconciliation of external vendor data including laboratory and other test data, qualitative coding, digital health, and other ancillary datasets, if required.

Database Lock and Reporting

         Coordinate interim and final database lock and unlock activities.

         Ensure all outstanding queries and reconciliation activities are resolved before lock.

         Produce data listings, metrics, status reports, and quality dashboards.

         Deliver clean, analyzable datasets to biostatistics and analytics teams.

         Support preparation of study reports, technical reports, regulatory submission materials, and audit responses.

Stakeholder Collaboration

         Serve as lead data management representative on assigned studies.

         Collaborate with:

o   Clients and Sponsors

o   Project Managers

o   Research Directors

o   Statisticians

o   Data Scientists

o   Compliance Teams

         Participate in study design discussions and protocol reviews to ensure data collection feasibility and quality.

         Provide guidance and training on data management processes, system usage, and study documentation expectations while serving as the primary data management contact for assigned studies.

Process Improvement and Innovation

         Contribute to SOP development and continuous improvement initiatives.

         Evaluate new technologies, automation tools, and AI-enabled data management solutions.

         Support development of standards for decentralized studies, digital data collection, and real-world data integration.

         Promote best practices aligned with SCDM Good Clinical Data Management Practices (GCDMP), and CDISC/TIG.

Requirements

Required Qualifications

         Bachelor's or advanced degree in Life Sciences, Health Informatics, Biostatistics, Epidemiology, Public Health, Computer Science, or a related field.

         Minimum 5 years of regulatory data management experience.

         Experience supporting regulated research in nicotine science (preferred), healthcare research, pharmaceutical, biotechnology, medical device, CRO, or FDA-related studies.

         Strong understanding of regulated study processes, data management principles, data quality controls, GCP requirements, data validation, and applicable regulatory frameworks.

         Experience using EDC/eTMF platforms such as Decipher, Medidata Rave, REDCap, Oracle Clinical, Veeva, TrialKit, MEDRIO or similar systems.

         Working knowledge of SQL, SAS, Power BI, and data visualization/reporting tools.

Preferred Qualifications

         Experience supporting FDA submissions or pivotal studies, preferably in the nicotine science space.

         Knowledge of CDISC standards including CDASH, SDTM, and ADaM.

         Experience with electronic patient-reported outcomes (ePRO/eCOA).

         Familiarity with real-world evidence (RWE) data sources, electronic health records such as Epic, decentralized clinical trials, and digital endpoints.

         CCDM (Certified Clinical Data Manager) or other relevant regulatory certification.

         Experience managing external vendors and data integrations.

         Knowledge of AI-enabled data review and quality management technologies.

Success Factors

The ideal candidate:

         Demonstrates meticulous attention to detail.

         Maintains a strong commitment to data integrity.

         Thrives in a highly regulated environment.

         Communicates effectively with both technical and non-technical stakeholders.

         Balances quality, compliance, and operational efficiency.

         Takes ownership of data from study startup through closeout.

Why Join Us

         Work on high-impact research supporting public health and regulatory decision-making.

         Collaborate with cross-functional experts in research, analytics, and compliance.

         Opportunity to help shape next-generation data governance and AI-enabled research operations.

         Opportunity for professional growth

Benefits

  • M/A/R/C is committed to providing an exceptional work environment and excellent benefits.
  • Health Care Plan (Medical, Dental, Vision & Supplemental)
  • Retirement Plan (401k with Company Match)
  • Profit Sharing
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Training & Development