Senior Data Strategy, Annotation, and Validation Specialist at F. Hoffmann-La Roche Ltd - Poland

Daly City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Annotation, Data Validation, Digital Health, Clinical Research, Data Science, Problem Solving, Critical Thinking, Communication, Metadata Standards, Data Quality Assurance, AI Solutions, Regulatory Compliance, Structured Data Models, Collaboration, Independent Thinking, Agility

Industry

Biotechnology Research

Description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position This role is based in the Digital Endpoints and Patient-Centered Solutions (DEPCS) team, the innovative digital, AI, and tech function within Roche Product Development Data Sciences (PDD). Operating across the Science of Medicines and Operations, DEPCS is responsible for embedding patient-centered and AI-enabled digital solutions into the fabric of clinical research. By integrating data science, measurement science, and digital product thinking, DEPCS delivers scalable and regulatory-ready innovations that enhance trial design, evidence generation, and clinical value of Roche medicines. The Opportunity: As a Data Strategy, Annotation, and Validation Specialist within the Digital Endpoints and Patient-Centered Solutions (DEPCS) function, you will contribute to building scalable, high-quality, and regulatory-ready digital health data assets. Your work will focus on structuring, annotating, and validating multi-modal data (e.g., imaging, wearable, or eCOA) to support the development of novel digital endpoints and AI-enabled solutions. Collaborating closely with Clinical Operations, Regulatory, Data Science, and Product teams, you will play a key role in ensuring data is findable, accessible, interoperable, and reusable (FAIR) and that it meets scientific and technical standards throughout the product lifecycle. You work independently to develop and implement structured annotation and data readiness workflows for digital health modalities such as wearables or imaging You lead or contribute to the creation and refinement of validation frameworks for new data sources and digital endpoints You collaborate with data scientists, engineers, product teams, and junior resources to embed data standards and quality checks into digital health solutions You drive application of FAIR data principles to ensure digital assets are traceable, structured, and fit-for-purpose for regulatory and scientific use You monitor performance of annotation tools or platforms to ensure efficiency, accuracy, and scalability Who you are: You hold a Master’s or Bachelor’s degree in Biomedical Engineering, Data Science, or a related technical field You have a minimum of 5 years of experience supporting data annotation, standardization, or validation in digital health, clinical research, or related settings, or an advanced degree with 3 years of equivalent work experience You are familiar with structured data models, metadata standards, and annotation tooling You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles You bring excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain You demonstrate respect for cultural differences when interacting with colleagues in the global workplace You have excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language Preferred: Experience working with regulatory-aligned digital data or platforms Exposure to annotation workflows, data quality assurance, or ML-based validation methods Experience contributing to technical documentation and structured metadata libraries Familiarity with collaboration across cross-functional and global teams Relocation benefits are not available for this posting #PDDT #PDDBasel Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Basel. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

Responsibilities

You will contribute to building scalable, high-quality, and regulatory-ready digital health data assets by structuring, annotating, and validating multi-modal data. Collaborating closely with various teams, you will ensure data meets scientific and technical standards throughout the product lifecycle.