Clinical Data Engineering Lead

Novartis Farmacéutica; Cambridge (MA); On-site; USD 176,400 - 327,600; Full time

Benefits offered by this job

401(k) with company contribution

Health, life, and disability benefits

Generous time-off package

Job summary

Novartis Farmacéutica is seeking an Associate Director for Clinical Data Engineering in Cambridge, MA. This leader will shape data infrastructure for oncology trials, advancing AI-driven discoveries and operational excellence.

With a master's or PhD and at least 10 years in the pharmaceutical industry, candidates should have strong leadership skills and extensive experience in clinical data management. The role offers a competitive salary between $176,400 and $327,600 and a comprehensive benefits package.

Qualifications

• Minimum 10 years of experience in clinical data engineering in the pharmaceutical industry.
• Expertise in scaling data infrastructure for AI/ML analytics.
• Strong knowledge of regulatory compliance in clinical trials.

Responsibilities

• Lead clinical data engineering roadmap aligned with data strategy.
• Manage and develop a high-performing clinical data engineering team.
• Oversee data validation processes ensuring compliance with regulations.

Skills

Clinical data engineering

AI/ML-driven analytics

Data management

Leadership

Stakeholder management

Education

Master’s degree in computer science, bioinformatics, data engineering

PhD preferred

Tools

R

Python

Java

Linux

HPC

Job description

About the role

Are you ready to make a lasting impact by building the future of oncology research? Novartis Biomedical Research (NBR) is searching for a visionary Associate Director to lead Clinical Data Engineering within our Oncology Data Science (OncDS) team. In this pivotal role, you’ll be at the forefront of shaping early clinical development by building innovative biomarker data infrastructure, championing translational research, unlocking AI‑powered discoveries, and raising the bar for operational excellence in biomarker data and multimodal analytics across Novartis’ oncology trials.

Key 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 modelling, 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 optimise data flow, versioning, and retention policies.
• Build and optimise data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision‑making.
• Deploy scalable solutions for data harmonisation, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.
• Develop and manage applications and visualisation tools, contributing to novel data products that support clinical decision‑making and enable AI‑driven initiatives in oncology trials.

Essential Requirements

• This position will be located at the Cambridge, MA site and will not be able to be remote. It will require 0‑3% travel as defined by the business.
• Master’s degree in computer science, bioinformatics, data 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 the pharmaceutical or biotechnology industry.
• Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including AI/ML‑driven analytics and multimodal data integration.
• Proven ability to define, document, and operationalise 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., CDISC, SDTM, ADaM).
• Deep familiarity with FAIR data principles, data harmonisation, and enterprise data governance frameworks.
• Strong leadership in technical teams, with advanced communication and stakeholder management skills.

Desirable Requirements

• 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 visualisation 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.

Compensation and Benefits

The salary for this position is expected to range between $176,400 and $327,600 per year. The final salary offered is determined based on factors such as relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance‑based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US‑based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time‑off package including vacation, personal days, holidays and other leaves.