Senior Data Sciences Product Leader

Canada Pharma Campus

Roche

As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally.

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Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

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.

We invite you to join our Portfolio Delivery Pods within Product Development Data Sciences as a Data Sciences Product Leader. In this role, you will act as a Senior Data Quality Leader (Clinical Data Manager) within the Data Strategy and Delivery (DSD) function. You will collaborate with a dynamic team of data life-cycle management experts, focusing on acquiring and curating data for exploratory research, clinical development, and evidence generation.

Your responsibilities will include working with a variety of internal and external partners to design and implement data management solutions, ensuring compliance with F.A.I.R. (Findable, Accessible, Interoperable, Reusable) and RBQM (Risk Based Quality Management) principles. You will oversee and provide technical expertise in the delivery of high-quality data, managing relationships with External Business Partners (ExBPs) and vendors.

We are seeking candidates with strong strategic, collaboration, and communication skills, as well as an entrepreneurial mindset. Your contributions will support initiatives that enhance our technical landscape and business processes, ultimately aiding in the development and delivery of vital medicines to patients.

The Opportunity

  • Collaborate with teams across the organization to design and execute fit-for-purpose data management solutions, ensuring adherence to FAIR and RBQM principles.

  • Act as experts for data collection and acquisition, advising teams and stakeholders on best practices and proposing innovative solutions, including new data types, technologies, and sources.

  • Partner with and oversee data management deliverables from External Business Partners (ExBPs) and vendors, ensuring high-quality data and compliance with industry regulations.

  • Proactively manage timelines and track decisions to ensure the successful delivery of study work packages at ExBPs, providing business and technical support as needed.

  • Oversee ExBPs in sample management and reconciliation processes, ensuring timely and proactive resolution of queries.

  • Engage with stakeholders to understand their needs, influence their understanding of functional decisions, and keep them informed of the status of key deliverables.

  • Understand data insight needs and offer data management solutions, overseeing the development of data transfer agreements with vendors, and contributing to initiatives that promote new ways of working and the effective use of data.

Who you are

  • BSc or MSc in Life Sciences, Data/Computer Science, Bioinformatics, or equivalent with 5-7 years proven industry experience.

  • Leadership and Oversight: Experience leading clinical data management efforts within study teams, overseeing start-up, conduct, and close-out activities for multiple or complex clinical trials, including the management of ExBPs, vendors, CROs, and Collaborative Groups.

  • Clinical Trial and Real World Data Collection: Experience in leading the collection of clinical trial and/or real world data.

  • Technical and Scientific Expertise: Strong understanding of molecule and disease area data strategies, drug development process,  healthcare environments, and scientific/technical expertise.

  • Communication and Collaboration: Demonstrated strong collaboration and excellent communication skills (proficiency in English required).

  • Works independently to deliver data science work products and contributes to higher impact projects with minimal guidance.

  • Help to build global functional tools and systems, acting as subject matter expert help to elevate and mentor team members.  

Preferred Qualifications:

  • Knowledge of CDISC and CDASH data standards.

  • Familiarity with ICH-GCP and working in regulated environments.

  • Project management skills and the ability to manage multiple requests and priorities.

  • Demonstrated leadership capabilities in decision-making, negotiation, and motivation (self and others).

  • Experience with data analytics and/or visualization tools and techniques.

  • Entrepreneurial mindset, self-direction, and ability to mentor others while being open to learning new techniques.

  • Knowledge of biological principles and scientific curiosity, with an understanding of various data types (clinical, biomarker, WGS, RNA-seq, etc.).

  • Awareness of programming languages SAS, R, and Python, with an ability to leverage these tools for data analysis and automation of tasks.

Relocation Benefits are not available for this job posting.

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

Roche is an Equal Opportunity Employer.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Bioinformatics CDISC Computer Science Data analysis Data Analytics Data management Data quality Data strategy GCP Pharma Python R Research SAS

Perks/benefits: Career development Relocation support

Region: North America
Country: Canada

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