Roche Posted August 17, 2026

AI/ML Compliance Lead

Mississauga, Ontario, Canada FULL_TIME
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About this opportunity

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

At Roche, we believe that every patient deserves access to life-changing innovations. As a global healthcare leader operating across pharmaceuticals and diagnostics, we combine cutting-edge science, advanced technology, and a passion for improving lives to address some of the world’s most challenging medical needs. Driven by our commitment to research and sustainable healthcare solutions, we foster an inclusive, collaborative environment where diverse teams are empowered to question the status quo, drive continuous improvement, and redefine what is possible in modern medicine.

We are seeking an experienced AI/ML & Digital Quality Lead to provide Quality Assurance oversight and guidance while designing and implementing cutting-edge AI/ML Digital solutions in a GMP Environment. If you have a passion for innovation and a proven track record in implementing AI/ML systems, this role is made for you.

Do you bring experience in implementing or enabling the qualifications of digital solutions, preferably in the pharma industry, and are you looking for an impactful role? We seek an individual with excellent knowledge of the pharma data ecosystem, informatics systems, tools, and techniques with a focus on quality and compliance. As the AI/ML Compliance Lead you will work with the business, data scientists, and IT to design, validate, implement and support in operation Artificial Intelligence and Machine Learning (AI/ML) Systems to fulfill GMP business objectives. By working closely with technical teams, you will ensure AI/ML solutions are accurate, efficient, scalable, secure, and validated for GMP use.

The Opportunity

Lead the Quality Assurance oversight, validation, and compliant execution of cutting-edge AI/ML systems within a regulated GxP and GMP business environment.

Collaborate cross-functionally with data science, software development, and IT teams to integrate AI/ML algorithms into business applications under a standard Computer System Validation (CSV) and Computer Software Assurance (CSA) framework.

Author, review, and approve critical validation documentation, including validation plans, technical specifications, system architecture diagrams, and test scripts.

Identify and proactively mitigate quality, security, and data privacy risks across the full AI/ML lifecycle, addressing issues such as model drift, dataset bias, and validation boundaries.

Influence and align diverse technical and operational stakeholders across global business units to establish compliant validation strategies for advanced digital solutions.

Drive continuous improvement initiatives that streamline CSV/CSA processes, integrating emerging AI risk management frameworks into existing quality management systems.

Mentor and coach colleagues across Digital Compliance and broader Quality functions, fostering an agile mindset and supporting capability building in digital validation.

Who you are

You hold a BS/MS degree in Science, Computer Science, Engineering, or a related field, backed by 5-7 years of relevant experience in a regulated pharmaceutical, biotech, or medical device environment.

You possess proven hands-on experience designing, validating, or implementing AI/ML systems in commercial environments, including deep learning, NLP, LLMs, and AI agentic workflows.

You are deeply knowledgeable in FDA/EMA pharmaceutical regulations, GAMP 5, 21 CFR Part 11, Annex 11, and core Quality Risk Management principles (ICH Q9 / ICH Q10).

You bring functional expertise in programming languages (e.g., Python, R) along with cloud computing platforms (AWS, Azure, GCP) and MLOps practices for model governance in production.

You demonstrate strong analytical and problem-solving skills, with the ability to solve complex digital quality issues and manage risk with high autonomy.

You are an exceptional communicator and influencer who can translate complex technical AI/ML compliance concepts to build consensus across cross-functional teams.

You embody Roche’s core mindsets of inclusivity, speaking up, continuous learning, shared accountability, and outcome-focused collaboration.

**This role is not eligible for relocation**

The expected salary range for this position based on the primary location of Mississauga is 105,560.00 and 138,547.50 of hiring range. Actual pay will be determined based on experience, qualifications, and other job-related factors as determined by the company.

We use artificial intelligence to screen, assess or select applicants for this role.

This posting is for an existing vacancy at Hoffmann-La Roche Ltd.

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.

Job details

Seniority
Not listed
Function
Quality
Therapeutic area
Not listed
Location
Mississauga, Ontario, Canada
Employment type
FULL_TIME

How this role compares

Computed from every other active Quality role in our database, not just this employer's listings.

We currently track 1075 comparable Quality roles across 129 biopharma companies.

1075Comparable roles tracked
956Currently active
129Companies hiring similar roles
54Countries represented

Salary context

197 of 1075 peers report a salary range (USD, annualized)

Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.

This roleSubject Not listed on this posting
Lowest disclosed · Exp Tech Quality Control · Johnson & Johnson $38,500/yr – $61,985/yr
Highest disclosed · Vice President, Quality Assurance - GMP · Exelixis Inc $315,500/yr – $366,500/yr
Peer group range $50,243 – $341,000 (median $151,100)

Where these roles are based

Top locations among the 1075 comparable roles

United States330
Ireland61
Germany55
China55
India51
Japan44

+ 48 more countries

Seniority mix

475 of 1075 peers have a known seniority level

Manager182
Senior130
Associate Director42
Director38
Principal24
Associate23
Senior Director20
Intern/Fellow/Postdoc12
Executive/VP4

Therapeutic area mix

2 of 1075 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Rare Disease1
Vaccines & Infectious Disease1

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How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

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Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.