Summer Intern - Protein Engineering and AI Model Development.

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Summer Intern - Protein Engineering and AI Model Development.

We advance science so that we all have more time with the people we love.

Department Summary

We are seeking a highly motivated Summer Intern to join our Protein Engineering team. This is a unique opportunity to contribute to the development of advanced computational tools and methodologies for protein engineering, leveraging state-of-the-art AI models and fine-tuning techniques. As an intern, you will work on projects at the intersection of computational biology, machine learning, and bioinformatics, gaining hands-on experience in a fast-paced, innovative environment.

This internship position is located in Santa Clara, on-site.

The Opportunity

• Collaborate with the Protein Engineering team to develop computational tools for protein analysis and design.

• Explore and utilize protein language models (e.g., AlphaFold, ESMFold, ProtT5) to analyze and predict protein structure and function.

• Fine-tune existing protein language models for specific protein engineering applications.

• Perform data preprocessing, feature extraction, and model evaluation using large-scale protein datasets.

• Collaborate with wet lab experts to integrate computational insights with experimental validation and design strategies.

• Develop user-friendly scripts and workflows for automating protein engineering tasks.

• Document project progress, results, and methodologies, preparing a final presentation for the team.

Program Highlights

• Intensive 12-weeks, full-time (40 hours per week) paid internship.

• Program start dates are in May/June (Summer).

• A stipend, based on location, will be provided to help alleviate costs associated with the internship.

• Ownership of challenging and impactful business-critical projects.

• Work with some of the most talented people in the biotechnology industry.

Who You Are (Required)

Required Education: You meet one of the following criteria:

• Must be pursuing a Bachelor's Degree (enrolled student).

Required Majors:

• Bioinformatics, Computational Biology, Computer Science, Biotechnology, or a related field.

Required Skills:

• Strong programming skills in Python and familiarity with relevant libraries (e.g., PyTorch, TensorFlow, scikit-learn).

• Basic understanding of protein structure and function, as well as protein engineering principles.

• Experience with machine learning techniques and/or computational biology tools.

• Familiarity with protein language models and AI-based approaches in biological research is a plus.

• Excellent problem-solving skills and the ability to work independently and collaboratively.

Preferred Knowledge, Skills, and Qualifications

• Excellent communication, collaboration, and interpersonal skills.

• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Relocation benefits are not available for this job posting.

The expected salary for this position based on the primary location of California is $45.00 hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

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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.

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