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Remote Data Science Jobs in Worcester, MA (NOW HIRING)

... remote candidates will work and collaborate from home. Responsibilities * Customer Master Data ... Administration, Life Sciences, or a related field; equivalent experience may be considered.

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Remote Data Science information

See Worcester, MA salary details

$24.1K

$107K

$204.2K

How much do remote data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data science in Worcester, MA is $106,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,264.00 and $148,396.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in Worcester, MA?

The most popular types of Data Science jobs in Worcester, MA are:

What are popular job titles related to Remote Data Science jobs in Worcester, MA?

For Remote Data Science jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Worcester, MA look for?

The top searched job categories for Remote Data Science jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Remote Data Science jobs?

Cities near Worcester, MA with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,988 per year, or $51.4 per hour.

Customer Master Data Manager

CareDx, Inc.

Waltham, MA • Remote

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago


Key responsibilities

  • Establish and manage systems, processes, standards, and governance for customer master data across the business.

  • Develop and maintain trusted 'golden records' for customer entities such as patients, providers, and healthcare organizations.

  • Serve as a data steward for customer data within Salesforce.com, supporting account hierarchy, onboarding, deduplication, and data change requests.


Job description

CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Through our innovative portfolio of molecular diagnostics, digital health solutions, AI-powered data and analytics, and patient support services, we partner with healthcare providers, patients, and biopharma organizations to help inform clinical decision-making and improve patient outcomes.

Within CareDx's Specialty Oncology business, we are focused on improving the management of HPV-driven cancers through innovative diagnostic solutions. NavDx, our blood-based DNA test, helps clinicians detect molecular signs of disease recurrence, monitor treatment response, and guide patient management throughout the care journey. Our team is committed to expanding access to actionable insights that support more informed cancer care.

This is a full-time position, Monday through Friday, with occasional overtime as needed. Candidates within commuting distance of a CareDx office may be asked to come to the office on a regular basis; remote candidates will work and collaborate from home.

Responsibilities

  • Customer Master Data Management - Establish the systems, processes, standards, and governance model for customer master data across the entire CareDx business, including commercial, revenue cycle, market access, digital health, and operational stakeholders.  Implement and manage required MDM tools, such as clearMDM, and the data sources needed to support an accurate, trusted customer master.
  • Single Source of Truth - Develop and maintain trusted "golden records" for customer entities such as patients, providers, healthcare organizations, payer entities, and related commercial accounts.
  • Salesforce.com Stewardship - Serve as a key business owner and data steward for customer data within Salesforce.com, supporting account hierarchy design, customer onboarding, deduplication, data change requests, and downstream commercial processes.
  • Identity Resolution - Use matching logic, data stewardship workflows, and business rules to identify, resolve, and prevent duplicate, incomplete, or conflicting customer records across CRM, billing, laboratory, and data warehouse environments.
  • Initial Data Clean-up - Lead the initial clean-up and normalization of customer master data, including duplicate resolution, source reconciliation, standardization, enrichment, and remediation of high-impact data quality issues before ongoing governance processes are operationalized.
  • HIPAA Compliance & Privacy - Ensure master data handling, access, encryption, auditability, and data-sharing processes align with HIPAA and internal privacy and information security policies for PHI/PII.
  • Data Governance - Define and operationalize data ownership models, data standards, decision rights, approval workflows, data quality metrics, data cataloging practices, and routines for governance forums that sustain data hygiene across the enterprise.
  • System Integration - Partner with Commercial Operations, IT, Analytics, Revenue Cycle, Market Access, and vendor teams to manage integrations and data flows between Salesforce.com, MDM platforms, data warehouses, reporting tools, and downstream operational systems.
  • Data Quality Management - Lead initial customer data clean-up, address standardization, identity verification, completeness checks, routine audits, remediation efforts, and continuous improvement initiatives to improve customer data accuracy, usability, and ongoing data hygiene.
  • Process Documentation & Training - Document standard operating procedures, stewardship playbooks, escalation paths, and training materials to support consistent, compliant customer data management across teams.
  • Cross-Functional Partnership - Translate business requirements into data management solutions and communicate clearly with business stakeholders, data stewards, technology partners, compliance teams, and leadership.

Qualifications

  • Education - Bachelor's degree in Business, Information Systems, Data Management, Healthcare Administration, Life Sciences, or a related field; equivalent experience may be considered.
  • Experience - 5+ years of experience in customer master data management, data governance, data stewardship, commercial operations, CRM data management, or related data operations roles, with direct healthcare or life sciences experience.
  • Salesforce.com - Hands-on experience managing customer, account, provider, or patient-related data in Salesforce.com is required.
  • Healthcare Data & PHI - Experience working with sensitive patient data, provider data, payer data, PHI, and/or PII in a regulated healthcare environment is required.
  • Regulatory Knowledge - Strong working knowledge of HIPAA, HITECH, privacy principles, access controls, audit expectations, and compliant handling of sensitive healthcare data.
  • MDM & Governance - Experience with MDM platforms or customer mastering capabilities such as Informatica, Profisee, Verato, Reltio, or similar tools; experience establishing data governance frameworks, data stewardship processes, and data quality metrics.
  • Systems & Data Skills - Familiarity with SQL, data warehouses or cloud data platforms such as Snowflake, data cataloging tools such as Collibra, and reporting or analytics tools.
  • Commercial Operations - Understanding of provider, account, territory, patient, payer, and healthcare organization data and how it supports commercial execution, reporting, market access, billing, and customer engagement.
  • Analytical Ability - Strong analytical, root-cause problem solving, and process improvement skills with high attention to detail.
  • Communication- Excellent written and verbal communication skills, with the ability to align technical and business stakeholders and create clarity in ambiguous situations.

Additional Details: 

Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients. 

Our competitive Total Rewards package for US Employees includes:

  • Competitive base salary and incentive compensation
  • Health and welfare benefits, including a gym reimbursement program
  • 401(k) savings plan match
  • Employee Stock Purchase Plan
  • Pre-tax commuter benefits
  • And more!
  • Please refer to our page to view detailed benefits athttps://caredx.com/company/careers

In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow.

With products that are making a difference in the lives of transplant patients today and a promising pipeline for the future, it's an exciting time to be part of the CareDx team. Join us in partnering with transplant patients to transform our future together.

CareDx, Inc. is an Equal Opportunity Employer-vets/disabled, and participates in the E-Verify program. By proceeding with our application and submitting your information, you acknowledge that you have read our U.S. Personnel Privacy Notice and consent to receive email communication from CareDx. Certain jurisdictions require notice of how we use and protect your personal information. For more information, please read our Privacy Policy

The U.S. EEO posters are available here. 

Note: We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.