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Clinical Data Programmer Jobs in Massachusetts (NOW HIRING)

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

Responsibilities : • Define and implement the clinical data engineering roadmap in alignment with Novartis' data and digital strategy, collaborating with SMEs and OncDS leadership. • Integrate ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA

$176K - $327K/yr

Define and implement the clinical data engineering roadmap in alignment with Novartis' data and digital strategy, collaborating with SMEs and OncDS leadership. * Integrate advanced tools and AI/ML ...

Smith & Nephew

Director, Clinical Data & AI

Andover, MA · On-site

Data management and data engineering * AI/ML and advanced analytics * Serve as the enterprise authority on clinical data architecture and AI enablement for clinical & medical affairs across all BUs ...

Eight Sleep

Clinical Data Engineer

Boston, MA · On-site

$124K - $149K/yr

The Role We're looking for a Clinical Data Engineer who will own the end-to-end data pipelines for our clinical studies, including regulatory trials. You will create monitoring tools for tracking ...

Corrona

Biostatistical Data Programmer

Waltham, MA · On-site

... a clinical, pharmaceutical, or healthcare data industry. • Knowledge of data analysis procedures with 2 years of programming experience in R and SAS and/or Stata. • 2+ years of experience with ...

DeepHealth

Clinical Data Analyst

Somerville, MA · On-site +1

$94 - $128/hr

Job Summary The Senior Clinical Data Analyst independently executes assigned clinical studies ... programming • Strong attention to detail, documentation and communication skills • ...

RadNet

Clinical Data Analyst II

Somerville, MA · On-site

$94K/yr

Responsibilities Job Summary The Senior Clinical Data Analyst independently executes assigned ... Proficiency in scientific computing, data analysis tools, and programming * Strong attention to ...

Deephealth

Clinical Data Analyst II

Somerville, MA

$94K - $128K/yr

Responsibilities Job Summary The Senior Clinical Data Analyst independently executes assigned ... Proficiency in scientific computing, data analysis tools, and programming * Strong attention to ...

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All JobsClinical Data Programmer JobsClinical Data Programmer Jobs in Massachusetts

Clinical Data Programmer information

See Massachusetts salary details

$75.9K

$129.9K

$231.5K

How much do clinical data programmer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for clinical data programmer in Massachusetts is $129,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $196,600.00 per year, depending on experience, location, and employer.

What is the difference between Clinical Data Programmer vs Clinical Data Analyst?

AspectClinical Data ProgrammerClinical Data Analyst
Required CredentialsBachelor's in Life Sciences, Biostatistics, or related field; knowledge of programming languages like SAS or RBachelor's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentClinical trial data management teams, often in CROs or pharmaceutical companiesData analysis teams, often in healthcare or research organizations
Employer & Industry UsageUsed in clinical research to prepare datasets for analysisUsed to interpret data, generate reports, and support decision-making

While both roles involve working with clinical data, Clinical Data Programmers focus on coding and preparing datasets, whereas Clinical Data Analysts interpret data and generate insights. Understanding these differences helps in choosing the right career path or job search focus.

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

To thrive as a Clinical Data Programmer, you need a strong background in programming (especially SAS or SQL), understanding of clinical trial data, and a degree in life sciences, statistics, or a related field. Familiarity with electronic data capture systems, CDISC standards (SDTM/ADaM), and regulatory requirements is typically expected, and relevant certifications can be advantageous. Attention to detail, analytical thinking, and effective communication are essential soft skills for ensuring data integrity and collaborating with cross-functional teams. These skills and qualifications are vital for producing accurate, regulatory-compliant datasets that support clinical research and successful drug development.

What is a clinical data programmer?

Clinical Data Programmers are professionals who manage, process, and analyze clinical trial data using specialized programming languages and software. They are responsible for creating and validating programs that ensure data collected during clinical studies is accurate, consistent, and ready for statistical analysis. Their work is essential to the integrity of clinical research, enabling regulatory submissions and supporting medical decision-making. Clinical Data Programmers often work closely with clinical data managers, statisticians, and other clinical research professionals.

How does a clinical data programmer typically collaborate with clinical research teams during a study?

Clinical Data Programmers work closely with clinical research associates, data managers, biostatisticians, and project managers to ensure the integrity and accuracy of clinical trial data. They often participate in study setup meetings, provide input on case report form (CRF) design, and develop programs for data validation and cleaning. Regular communication is essential to resolve any discrepancies or issues that arise during data collection and to implement mid-study changes. This collaborative environment ensures that the data is reliable and meets regulatory requirements.
What are popular job titles related to Clinical Data Programmer jobs in Massachusetts? For Clinical Data Programmer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Clinical Data Programmer jobs in Massachusetts look for? The top searched job categories for Clinical Data Programmer jobs in Massachusetts are:
What are popular job titles related to Clinical Data Programmer jobs in MA? For Clinical Data Programmer jobs in MA, the most frequently searched job titles are:
Clinical Data Programmer jobs near you
Infographic showing various Clinical Data Programmer job openings in Massachusetts 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, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,921 per year, or $62.5 per hour.

Clinical Data Engineering Lead

Novartis

Cambridge, MA • On-site

Full-time

Re-posted 25 days ago

Novartis rating

7.5

Company rating: 7.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

64th of 86 rated pharmaceutical

Job description

Job Summary:
Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you’ll be responsible for shaping early clinical development by building innovative biomarker data infrastructure and championing translational research.
Responsibilities:
• Define and implement the clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with SMEs and OncDS leadership.
• Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.
• Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.
• Lead, manage, and develop a high-performing clinical data engineering team, fostering collaboration and growth.
• Drive strategic initiatives and partnerships across a matrixed organization.
• Oversee data ingestion, transformation, and validation processes for clinical trial data, ensuring compliance with GCP/GxP, CDISC, and SOPs.
• Collaborate with CROs and internal teams to optimize data flow, versioning, and retention policies.
• Build and optimize data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision-making.
• Deploy scalable solutions for data harmonization, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.
• Develop and manage applications and visualization tools, contributing to novel data products that support clinical decision-making and enable AI-driven initiatives in oncology trials.
Qualifications:
Required:
• Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred.
• Minimum 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry.
• Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence (AI) / Machine Learning (ML) -driven analytics and multimodal data integration.
• Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines, with a focus on automation, orchestration, and compliance.
• Extensive experience with oncology clinical trials, including regulatory-compliant management of clinical biomarker data and application of data standards (e.g., Clinical Data Interchange Standards Consortium [CDISC], Study Data Tabulation Model [SDTM], Analysis Data Model [ADaM]).
• Deep familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data principles, data harmonization, and enterprise data governance frameworks.
• Strong leadership in technical teams, with advanced communication and stakeholder management skills.
Preferred:
• Extensive experience leading cross-functional data science initiatives in oncology, including translational science, biomarker analysis, real-world data, and exploratory clinical research; proven expertise with NGS technologies, and modern bioinformatics tools.
• Advanced proficiency in cloud-native architectures, data lakes, and visualization frameworks (e.g., RShiny, Dash, Spotfire); strong programming and engineering skills (R, Python, Java, shell scripting, Linux, HPC), with a deep understanding of GxP, Agile methodologies, AI/ML operations, and architecting/managing AI agents in large clinical data environments.
Company:
Novartis is a pharmaceutical company that researches and develops medicines for serious diseases to improve and extend people's lives. It is a sub-organization of Meye Asset Management. Founded in 1996, the company is headquartered in Basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.

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