Data Scientist

Tucson, United States

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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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

Location: Tucson, AZ (Hybrid or Remote options available; requires close collaboration with the Tucson-based team)

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.

Join Roche's Personalized Healthcare Solutions (PHCS) division and play a pivotal role in advancing diagnostic capabilities through digital pathology. We are seeking a talented and motivated Data Scientist to address critical challenges in data management, workflow automation, algorithm co-development, and integration with internal Roche and commercial platforms. You will be instrumental in ensuring data integrity, optimizing development processes, and maintaining compliance for cutting-edge digital pathology algorithms used in PHCS assay development.

The Opportunity:  

  • Work closely with the Tucson-based assay and algorithm development teams to ensure seamless data integration and maintain data integrity across complex digital pathology projects.

  • Design, develop, and implement robust solutions to automate manual steps within the algorithm development and data management workflows, enhancing efficiency and reproducibility.

  • Perform sophisticated image processing, data analysis, and predictive modeling using large-scale digital pathology datasets.

  • Build, test, and deploy computational tools and algorithms, primarily using Python or similar languages, adhering to high standards of code quality, efficiency, and maintainability.

  • Leverage your skills in digital pathology, machine learning (ML), artificial intelligence (AI), and GUI development to create impactful solutions and improve algorithm performance.

  • Meticulously maintain the traceability and integrity of all data, including images and associated metadata, ensuring compliance with relevant standards and supporting contractual obligations.

Who You Are:  

  • You have a Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field 

  • You have 5+ years of data science experience

  • You have proven experience developing, testing, and deploying solutions using Python or similar programming languages within a software development lifecycle.

  • You have a solid understanding and practical experience in image analysis, machine learning/deep learning techniques, and AI concepts.

  • You have demonstrated the ability to perform complex data modeling, processing, and analysis on large or intricate datasets.

  • You have experience developing graphical user interface (GUI) for technical applications or data visualization.

 

Preferred Qualifications:

  • You have a Master's or PhD degree in Computer Science, Data Science, Bioinformatics, Biomedical Engineering, or a related quantitative field with 2+ years of relevant experience.

  • You have experience working within the life sciences, biotechnology, or pharmaceutical industry, particularly with digital pathology or medical imaging data.

  • You have familiarity with regulatory requirements and compliance standards applicable to medical devices or software as a medical device (SaMD) (e.g., FDA guidance, IVDR).

  • You have proficiency with cloud computing platforms (e.g., AWS, Azure, GCP) and associated services.

  • You have experience utilizing High-Performance Computing (HPC) environments for computationally intensive tasks.

  • You have knowledge of bioinformatics or molecular modeling techniques.

The expected salary range for this position is based on the primary location of Tucson, AZ is $110,600 - 205,400 USD.  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

Relocation benefits will not be provided.

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. 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.

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Category: Data Science Jobs

Tags: AWS Azure Bioinformatics Computer Science Data analysis Data management Data visualization Deep Learning Engineering GCP HPC Machine Learning Pharma PhD Predictive modeling Python Statistics Testing

Perks/benefits: Career development Salary bonus

Region: North America
Country: United States

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