Senior Data Strategy, Annotation, and Validation Specialist at Genentech

Tuusula, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

199400.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

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

Industry

Biotechnology Research

Description

The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. 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 team Relocation benefits are not available for this posting The expected salary range for this position based on the primary location of Massachusetts is $107,400.00 - $199,400.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits #PDDT #PDDBoston Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Responsibilities

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 to support the development of novel digital endpoints and AI-enabled solutions.