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Remote Data Translator Jobs in Colorado (NOW HIRING)

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Contribute to business strategy translation/decomposition/deconstruction and visualization for the ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Contribute to business strategy translation/decomposition/deconstruction and visualization for the ...

IT Software Engineer

Englewood, CO · Remote

$43.20 - $71.28/hr

This is a remote opportunity The Software Engineer strives to improve the user experience by ... Platform Events/Change Data Capture: Familiarity with event-driven architecture for integrations.

Remote Data Translator information

How much do Netflix translators get paid?

Netflix translators typically earn between $0.10 and $0.20 per word translated, depending on experience and language complexity. Compensation can also include project-based rates or hourly pay, and proficiency in translation tools and industry standards may influence earnings.

What is the difference between Remote Data Translator vs Data Analyst?

AspectRemote Data TranslatorData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; familiarity with data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and analytics software
Work EnvironmentRemote, collaborative teams, client-facing rolesOffice or remote, often within organizations or consulting firms
Industry UsageTech, healthcare, finance, consultingBusiness, marketing, finance, healthcare
Common Search & ComparisonOften compared for data interpretation and communication skillsCompared for data analysis and reporting capabilities

The Remote Data Translator focuses on interpreting complex data into understandable insights for clients or teams, often requiring strong communication skills. Data Analysts primarily analyze data sets to identify trends and generate reports. While both roles work with data, the Remote Data Translator emphasizes translation and communication, whereas Data Analysts focus on analysis and interpretation.

What does a data translator do?

A data translator bridges the gap between data analysts and non-technical stakeholders by converting complex data insights into clear, understandable language. They interpret data findings, ensure accurate communication, and often work with data visualization tools to support decision-making. Strong communication skills and knowledge of data analysis are essential for this role.

How much do remote translators get paid?

Remote data translators typically earn between $20 and $50 per hour, depending on experience, language pairs, and project complexity. Some may also be paid per word or project, with rates varying based on the industry and client requirements.

What is a Remote Data Translator?

A Remote Data Translator is a professional who works from a remote location to interpret, convert, and communicate complex data findings into easily understandable language for non-technical stakeholders. They bridge the gap between data scientists, analysts, and business teams by ensuring that data-driven insights are actionable and clear. This role often involves translating technical jargon, creating visualizations, and helping organizations make informed decisions based on data. Remote Data Translators typically use tools like Excel, Tableau, or Power BI and may collaborate across different time zones and teams.

How does a Remote Data Translator typically collaborate with data scientists and business stakeholders to ensure project success?

A Remote Data Translator acts as a vital bridge between technical data teams and business units. They frequently participate in virtual meetings to gather business requirements, translate them into data-driven objectives, and clarify analytical outcomes for non-technical stakeholders. Effective collaboration involves regular communication, documentation, and feedback loops to ensure that project goals remain aligned and actionable insights are delivered. Building strong relationships remotely can be challenging, but utilizing collaborative tools and maintaining proactive communication are key strategies for success in this role.

What are the key skills and qualifications needed to thrive as a Remote Data Translator, and why are they important?

To thrive as a Remote Data Translator, you need strong analytical abilities, data literacy, and a background in business or data science, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and basic programming or statistical analysis tools is typically required. Excellent communication, problem-solving, and stakeholder management skills help you bridge the gap between technical teams and business users. These skills ensure that complex data insights are accurately interpreted and effectively communicated to support informed decision-making.

Can you work remotely as a translator?

Remote data translators can work from any location with internet access, as their tasks typically involve analyzing and converting data formats digitally. Many employers offer remote positions that require strong communication skills and familiarity with data translation tools, making remote work a common arrangement in this role.
What are popular job titles related to Remote Data Translator jobs in Colorado? For Remote Data Translator jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Data Translator jobs? Cities in Colorado with the most Remote Data Translator job openings:
Senior Director, Clinical Data Management

Senior Director, Clinical Data Management

Umoja Biopharma

Louisville, CO • On-site, Remote

Other

Posted 14 days ago


Job description

POSITION SUMMARY

The Senior Director, Clinical Data Management will provide strategic and operational leadership for all clinical data management activities across Umoja's clinical development programs. This role sits within the Clinical organization and is accountable for ensuring the integrity, quality, and regulatory compliance of clinical trial data from protocol development through database lock and regulatory submission.

This individual will lead the planning, execution, and oversight of data management activities, clinical systems, and external vendors, while building scalable processes and capabilities to support a growing clinical pipeline. The role partners closely with Clinical Development, Clinical Operations, Biostatistics, Translational Medicine, Regulatory Affairs, and external partners like CROs to ensure timely delivery of high quality, decision-ready clinical data.

This role will be an Individual Contributor and will lead a matrixed team of vendors (CROs) and contractors to start. This person will be responsible for building out a future team.

This role will ideally be based in Seattle, WA or Louisville, CO but can be remote within the US. If remote, travel to Umoja Headquarters will be required at least once per quarter.

CORE ACCOUNTABILITIES

Specific Responsibilities include:
HandsOn Clinical Data Management Execution (as needed while building CDM team)

  • Serve as the primary clinical data management lead for assigned clinical trials, with direct accountability for data quality, timeliness, and inspection readiness from protocol development through database lock.
  • Perform detailed protocol review with a focus on data flow, endpoints, data collection strategy, and facilitation of downstream analysis requirements.
  • Lead hands-on CRF design and review, ensuring alignment with protocol objectives, statistical analysis plans, and regulatory expectations.
  • Develop, review, and approve data management plans (DMPs), database specifications, edit check specifications, data transfer agreements, and data review plans.
  • Actively participate in EDC system configuration and validation activities, including review of database builds, user acceptance testing (UAT), and system change control.
  • Perform ongoing hands-on data review, query trend analysis, and proactive data cleaning to ensure high-quality, analysis ready datasets.

Technical Oversight & Data Quality

  • Partner with Clinical Operations and other groups to define and implement data quality standards, reconciliation strategies, and risk basedmonitoring approaches for clinical data.
  • Lead hands-onoversight of external CROs and vendors delivering data management services, including detailed review of deliverables, issue resolution, and escalation management.
  • Directly review and contribute to data listings, data exports, and interim analysis datasets in partnership with Biostatistics and Statistical Programming.
  • Ensure clinical trial data is compliant with applicable regulatory requirements, including GCP, ICH, and CDISC standards.
  • Support inspection readiness activities by authoring, reviewing, and maintaining data management documentation and responding directly to audit and inspection findings.

Cross Functional Collaboration

  • Partner closely with Clinical Operations to align data management activities with study execution, site operations, monitoring strategies, and operational reporting needs.
  • Collaborate with Biostatistics and Statistical Programming to ensure smooth handoff of clean, well documented- datasets for analysis and reporting.
  • Provide technical data management expertise to Regulatory Affairs in support of clinical study reports, INDs, BLAs, and other regulatory submissions.
  • Serve as the clinical data management subject matter expert on study teams, governance forums, and internal reviews.

Process & Systems Ownership

  • Own and continuously improve clinical data management processes, tools, and SOPs to support efficient execution in a growing organization.
  • Evaluate, implement, and optimize clinical data systems and technologies (e.g., EDC, IRT, eCOA) to enhance data quality, traceability, and scalability.
  • Contribute handson to vendor selection, scope definition, and budgeting for data management services and systems.

The successful candidate will have:

  • Bachelor's degree or higher in life sciences, health informatics, computer science, or a related discipline with a minimum of 15 years of experience. Equivalent combinations of education and experience will be considered.
  • Significant experience in clinical data management within the biotechnology or pharmaceutical industry, including 8+ years of leadership of data management functions for clinical trials.
  • Demonstrated experience overseeing CROs and external vendors delivering clinical data management services.
  • Strong working knowledge of clinical trial processes, EDC systems, data standards, and regulatory expectations for clinical data.
  • Proven ability to lead teams, manage complex programs, and collaborate effectively in a fastpaced, matrixed environment.
  • Excellent written and verbal communication skills.

Preferred Qualifications:

  • Experience supporting oncology and/or cell or gene therapy clinical development programs.
  • Experience building or scaling clinical data management capabilities in a growing biotech organization.
  • Prior involvement in regulatory submissions and inspection readiness activities.

Physical Requirements

  • Preference to work onsite at least 2 days/week in our Seattle, WA or Louisville, CO location. If remote, the ability to travel to Seattle, WA at least once per quarter.
  • Ability to sit for prolonged periods of time.

Salary Range: $247,400 - $305,600