Technical Internship jobs at Tri-City Medical Center - 202 jobs

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. About Dexcom's Summer Intern Program: Are you passionate about innovative technology and improving lives? Dexcom's 12-week U.S. internship program offers a unique opportunity to work on impactful projects that support people living with diabetes. Designed to develop future leaders, our program provides hands-on experience, professional development, and exposure to real-world challenges in a dynamic, mission-driven environment. With flexible onsite, hybrid, and remote work options, we welcome talented students from across the country. Interns at Dexcom don't just participate-they lead. Join us in summer 2026 and help shape the future of healthcare technology! Internship Department Details: Department Name: Infra & SW Test - San Diego Business Function: Software Test Development Team Highlights: Our team powers the automation backbone for Dexcom's software validation, running thousands of tests daily across multiple platforms to ensure reliability and compliance. We manage the company's largest device farm-over 250 Mac Minis and 500+ mobile devices-enabling continuous integration and large-scale testing. By building robust tools and frameworks, we empower engineers to deliver high-quality, FDA-compliant software faster. Innovation drives us: we foster curiosity and encourage exploring new technologies and creative solutions to tackle complex challenges. Where you come in: You will develop and enhance automation tools and frameworks that support large-scale software validation. You will help manage and monitor our device farm of 250 Mac Minis and 500+ mobile devices to ensure smooth automated test execution. You will troubleshoot infrastructure issues and propose creative solutions to improve reliability and efficiency. You will collaborate with engineers to optimize workflows and integrate new technologies into our automation ecosystem. What makes you successful: You are curious and love solving complex technical problems with a hands-on approach. You have basic programming skills in Python, Bash, or similar scripting languages as well as basic native application development experience. You bring an understanding of automation concepts and a willingness to learn CI/CD tools and version control (Git). Your proficiency in analytical thinking and attention to detail helps you identify and resolve issues quickly. What you'll get from your Intern Program: A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. Meaningful work and assignments that impact your early career development. Participation in a targeted Learning Series that encourages professional development topics and provides insight into Dexcom's culture and career opportunities. Engagement in Social Events, Intern Recognition Awards, Paid Holidays, and more! Travel Required: 0-5% Experience and Education Requirements: Requires a completed Bachelor's degree. Must be a currently enrolled Master's, JD, or PhD student at an accredited college or university in a STEM discipline with an expected graduation date of December 2026 or later. Non-Exempt Salary Details: The annualized base salary range for this role is $35.00 to $45.00. Annualized values for non-exempt (hourly) positions are estimates, final annualized salary will depend on total hours worked. Final compensation package will ultimately depend on factors including relevant experience, skillset, knowledge, business needs and market demand. Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at ****************************. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at ****************************. Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: ***************************************************** Code=MERITAIN_I&brand Code=MERITAINOVER/machine-readable-transparency-in-coverage?reporting EntityType=TPA_19874&lock=true To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. About Dexcom's Summer Intern Program: Are you passionate about innovative technology and improving lives? Dexcom's 12-week U.S. internship program offers a unique opportunity to work on impactful projects that support people living with diabetes. Designed to develop future leaders, our program provides hands-on experience, professional development, and exposure to real-world challenges in a dynamic, mission-driven environment. With flexible onsite, hybrid, and remote work options, we welcome talented students from across the country. Interns at Dexcom don't just participate-they lead. Join us in summer 2026 and help shape the future of healthcare technology! Internship Department Details: Department Name: Software Development Business Function: R&D Team Highlights: Enhancing the healthcare provider and patient experiences by delivering historical glucose data through Dexcom's Clarity web application. Where you come in: You will collaborate with other engineers to develop and enhance features for the Clarity web application. You will troubleshoot and resolve software issues, contributing to the reliability and performance of Clarity's data presentation tools. You will contribute to documentation and process around deploying medical software to the public. You will participate in code reviews and apply best practices in software development to maintain high standards of quality and scalability. What makes you successful: Your proficiency in writing clean, maintainable code and eagerness to learn best practices in software engineering sets you up for success. You bring problem-solving skills and the ability to debug and troubleshoot issues in a collaborative development environment. You have a solid foundation in programming languages like JavaScript or similar and an understanding of web technologies like modern front-end frameworks. You are familiar with version control systems (e.g., Git) and can contribute effectively to team-based workflows. What you'll get from your Intern Program: A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. Meaningful work and assignments that impact your early career development. Participation in a targeted Learning Series that encourages professional development topics and provides insight into Dexcom's culture and career opportunities. Engagement in Social Events, Intern Recognition Awards, Paid Holidays, and more! Travel Required: 0-5% Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option. Experience and Education Requirements: Intern I Requires a high school diploma/certificate or equivalent. Must be a currently enrolled student at an accredited college or university in a STEM discipline with an expected graduation date of December 2026 or later. Non-Exempt Salary Details: The annualized base salary range for this role is $27.00 to $29.00. Annualized values for non-exempt (hourly) positions are estimates, final annualized salary will depend on total hours worked. Final compensation package will ultimately depend on factors including relevant experience, skillset, knowledge, business needs and market demand. Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at ****************************. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at ****************************. Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: ***************************************************** Code=MERITAIN_I&brand Code=MERITAINOVER/machine-readable-transparency-in-coverage?reporting EntityType=TPA_19874&lock=true To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.

Job Description Arrowhead Pharmaceuticals, Inc. (Nasdaq: ARWR) is a clinical stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing. Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates. Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need. The Position The Summer Intern, Computational Biology & Bioinformatics will support Translational Genetics research at Arrowhead Pharmaceuticals by contributing to the development and improvement of computational biology and bioinformatics workflows. This internship offers hands-on experience working with next-generation sequencing data, analytical pipelines, and AI-enabled tools in a collaborative research environment. The intern will help connect diverse datasets and improve how biological data is processed, documented, and interpreted to support scientific decision-making. This is an 11-week Summer Internship Program paying $27.00 per hour and requires full-time, on-site work five days per week at the designated location. Responsibilities Support development and enhancement of computational biology and bioinformatics workflows. Assist with analysis and integration of sequencing and multi-omics datasets. Contribute to automation, quality control, and data organization efforts within analytical pipelines. Help ensure accurate capture, validation, and use of experimental metadata across systems. Create summaries, visualizations, or reports to support data interpretation and project updates. Collaborate with computational and experimental scientists to align workflows with research needs. Present progress updates and findings to the project team and participate in technical discussions. Support documentation efforts to improve reproducibility and consistency of analyses. Requirements Currently pursuing a PhD program in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field. Proficiency in Python and/or R for statistical genetics and data analysis workflows. Familiarity with NGS or RNA-seq data analysis concepts. Understanding of experimental metadata structures and data organization principles Excellent verbal and written communication skills and ability to collaborate in a cross-functional research environment. Preferred Experience with bioinformatics workflows or pipeline development. Familiarity with workflow management tools, visualization platforms, or cloud-based analysis environments. Exposure to LLM-based or AI-assisted tools for data analysis or automation. Experience working with bulk or single-cell sequencing datasets. Interest in building scalable, reproducible computational workflows to support biomedical research. California pay range $11,440-$11,440 USD Arrowhead provides competitive salaries and an excellent benefit package. All applicants must have authorization to work in the US for a company. California Applicant Privacy Policy

Arrowhead Pharmaceuticals, Inc. (Nasdaq: ARWR) is a clinical stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing. Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates. Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need. The Position The Summer Intern, Computational Biology & Bioinformatics will support Translational Genetics research at Arrowhead Pharmaceuticals by contributing to the development and improvement of computational biology and bioinformatics workflows. This internship offers hands-on experience working with next-generation sequencing data, analytical pipelines, and AI-enabled tools in a collaborative research environment. The intern will help connect diverse datasets and improve how biological data is processed, documented, and interpreted to support scientific decision-making. This is an 11-week Summer Internship Program paying $27.00 per hour and requires full-time, on-site work five days per week at the designated location. Responsibilities Support development and enhancement of computational biology and bioinformatics workflows. Assist with analysis and integration of sequencing and multi-omics datasets. Contribute to automation, quality control, and data organization efforts within analytical pipelines. Help ensure accurate capture, validation, and use of experimental metadata across systems. Create summaries, visualizations, or reports to support data interpretation and project updates. Collaborate with computational and experimental scientists to align workflows with research needs. Present progress updates and findings to the project team and participate in technical discussions. Support documentation efforts to improve reproducibility and consistency of analyses. Requirements Currently pursuing a PhD program in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field. Proficiency in Python and/or R for statistical genetics and data analysis workflows. Familiarity with NGS or RNA-seq data analysis concepts. Understanding of experimental metadata structures and data organization principles Excellent verbal and written communication skills and ability to collaborate in a cross-functional research environment. Preferred Experience with bioinformatics workflows or pipeline development. Familiarity with workflow management tools, visualization platforms, or cloud-based analysis environments. Exposure to LLM-based or AI-assisted tools for data analysis or automation. Experience working with bulk or single-cell sequencing datasets. Interest in building scalable, reproducible computational workflows to support biomedical research. California pay range $11,440-$11,440 USD Arrowhead provides competitive salaries and an excellent benefit package. All applicants must have authorization to work in the US for a company. California Applicant Privacy Policy

2026 Summer Intern - Computational Sciences Center of Excellence - Agentic tool for Optical Pooled Screens 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. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. This internship position is located in South San Francisco, on-site. The Opportunity The XY and Li Labs are seeking a PhD intern with deep expertise in AI Agent architectures to advance our capabilities in Optical Pooled Screens (OPS). Our teams have developed high-performance internal computational frameworks to process terabytes of OPS data. However, optimal execution of these pipelines currently relies on complex, manual configuration by domain experts. We are looking for a researcher to build an autonomous agentic system capable of driving these internal tools. The goal is to move from "human-in-the-loop" operation to a fully autonomous reasoning engine that can optimize data processing strategies on the fly. Key Responsibilities: * Architecture: Design a modular Python-based agent capable of "tool use" (invoking internal binary executables and APIs). * API & Documentation: Build a production-grade interface for the agent. You must prioritize clear, standard communication protocols to ensure the agent can be easily integrated into broader multi-agent workflows. * Benchmarking: Establish a rigorous evaluation framework to quantify the agent's ability to converge on optimal processing configurations compared to human experts. Project Scope * Autonomous Pipeline Optimization: Design an agent capable of utilizing our internal OPS CLI and Python tools. The agent must autonomously test hypotheses on raw image data to determine optimal parameters for image stitching, registration, and feature extraction. * Agentic Reasoning & Recovery: Implement a robust reasoning loop (e.g., Plan-and-Solve, ReAct) that can interpret structured quality control logs. The system should effectively diagnose failure modes-distinguishing between data anomalies and configuration errors-and self-correct without human intervention. * Interoperable System Design: A critical requirement is the ability of this agent to exist within a larger automated ecosystem. You will design and implement a well-documented, standard API (REST/OpenAPI) for the agent. This interface must allow third-party orchestrators or other specialized agents to communicate with your system, submit jobs, and negotiate parameters programmatically. Program Highlights * Intensive 12-weeks full-time (40 hours per week) paid internship. * Program start dates are in May.18 2026 * 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 Education * Must be pursuing a PhD (enrolled student). * Must have attained a PhD. Required Majors Computer Sciences, Data Sciences, Artificial Intelligence, Machine Learning, Applied Mathematics, Applied Physics, Computational Biology, Biomedical Engineering, Bioinformatics, Data Engineering. Required Skills * Advanced Expertise in AI Agents: You are currently researching or building complex agentic systems. You have deep knowledge of orchestration frameworks (e.g., LangGraph, AutoGen), state management, and tool-calling patterns. * Strong Software Engineering: Expert Python system designer with experience in Model Context Protocol (MCP) and Agent Communication protocol (ACP) implementation. * Data Fluency: While biological expertise is not required, you must be comfortable working with high-dimensional data and complex optimization landscapes. * Collaborative Mindset: Ability to work at the intersection of two labs, translating computer science concepts into practical solutions for biological discovery. Preferred Knowledge, Skills, and Qualifications * 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 range for this position based on the primary location of California is $50.00 per 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. 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.

** **2026 Summer Intern - Genentech gRED Computational Sciences - Center of Excellence** At Genentech Research & Early Development (gRED), the Data Digital Catalysts group within the Computational Sciences - Center of Excellence department is a diverse, curious, and action-driven team at the intersection of computation, engineering, and science. We focus on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision-making. By leveraging modern computational approaches, we aim to revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. Within Computational Catalysts, our team specializes in the practical applications of AI to develop the next generation of tools for scientists and optimize operations. We work on diverse, impactful projects such as streamlining the authoring and review of regulatory documents, enhancing data exploration through chat-driven search, and integrating AI into visualization tools to interpret data and provide contextual insights. Our mission is to deliver scalable, innovative solutions that empower scientists and drive meaningful advancements in medicine. **This internship position is located in South San Francisco, Hybrid (3 days on site).** **The Opportunity** + Apply cutting-edge LLM and Generative AI to high-impact R&D projects in drug discovery. + Work on a diverse range of projects, including: LLM-based AutoML, building in-house search applications, or creating custom AI plugins. + Collaborate with world-class experts across Computational Science, Data Science, and Biology on interdisciplinary challenges. + Evolve AI prototypes into user-facing tools for scientists, gaining practical agile development experience. + Present internship results to internal and external audiences. **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 Education** + Must be pursuing a Master's Degree (enrolled student). + Must be pursuing a PhD (enrolled student). **Required Majors** Computer Science, Information Science, Data Science, Data Engineering, Software Engineering, Computational Biology, Bioinformatics, Cheminformatics **Required Skills:** + High proficiency in data processing, analysis, and programming using Python. + Experience developing with deep learning (e.g., PyTorch), LLM frameworks (e.g., HuggingFace, LangChain), or major AI APIs (e.g., OpenAI, Gemini, Claude). + Experience using version control systems such as Git. **Preferred Knowledge, Skills, and Qualifications** + Foundational knowledge of biology or drug discovery. + Experience with accepted peer-reviewed publications and presentations in academic conferences. + Participation experience in hackathons or coding competitions. + Experience with agent-based development or advanced AI-assisted coding methodologies. **Relocation benefits are not available for this job posting.** The expected salary range for this position based on the primary location of the state of California is $50.00 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. 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 (***************************************************************************************************** .

** **2026 Summer Intern - Computational Sciences Center of Excellence - Agentic tool for Optical Pooled Screens** 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. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. This internship position is located in **South San Francisco, on-site.** **The Opportunity** The XY and Li Labs are seeking a PhD intern with deep expertise in AI Agent architectures to advance our capabilities in Optical Pooled Screens (OPS). Our teams have developed high-performance internal computational frameworks to process terabytes of OPS data. However, optimal execution of these pipelines currently relies on complex, manual configuration by domain experts. We are looking for a researcher to build an autonomous agentic system capable of driving these internal tools. The goal is to move from "human-in-the-loop" operation to a fully autonomous reasoning engine that can optimize data processing strategies on the fly. **Key Responsibilities:** + **Architecture:** Design a modular Python-based agent capable of "tool use" (invoking internal binary executables and APIs). + **API & Documentation:** Build a production-grade interface for the agent. You must prioritize clear, standard communication protocols to ensure the agent can be easily integrated into broader multi-agent workflows. + **Benchmarking:** Establish a rigorous evaluation framework to quantify the agent's ability to converge on optimal processing configurations compared to human experts. **Project Scope** + **Autonomous Pipeline Optimization:** Design an agent capable of utilizing our internal OPS CLI and Python tools. The agent must autonomously test hypotheses on raw image data to determine optimal parameters for image stitching, registration, and feature extraction. + **Agentic Reasoning & Recovery:** Implement a robust reasoning loop (e.g., Plan-and-Solve, ReAct) that can interpret structured quality control logs. The system should effectively diagnose failure modes-distinguishing between data anomalies and configuration errors-and self-correct without human intervention. + **Interoperable System Design:** A critical requirement is the ability of this agent to exist within a larger automated ecosystem. You will design and implement a well-documented, standard API (REST/OpenAPI) for the agent. This interface must allow third-party orchestrators or other specialized agents to communicate with your system, submit jobs, and negotiate parameters programmatically. **Program Highlights** + **Intensive** **12-weeks** **full-time (40 hours per week) paid internship.** + **Program start dates are in** **May.18 2026** + **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 Education** + Must be pursuing a PhD (enrolled student). + Must have attained a PhD. **Required Majors** Computer Sciences, Data Sciences, Artificial Intelligence, Machine Learning, Applied Mathematics, Applied Physics, Computational Biology, Biomedical Engineering, Bioinformatics, Data Engineering. **Required Skills** + **Advanced Expertise in AI Agents:** You are currently researching or building complex agentic systems. You have deep knowledge of orchestration frameworks (e.g., LangGraph, AutoGen), state management, and tool-calling patterns. + **Strong Software Engineering:** Expert Python system designer with experience in Model Context Protocol (MCP) and Agent Communication protocol (ACP) implementation. + **Data Fluency:** While biological expertise is not required, you must be comfortable working with high-dimensional data and complex optimization landscapes. + **Collaborative Mindset:** Ability to work at the intersection of two labs, translating computer science concepts into practical solutions for biological discovery. **Preferred Knowledge, Skills, and Qualifications** + 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 range for this position based on the primary location of California is $50.00 per 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. 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 (***************************************************************************************************** .

** **2026 Summer Intern - Computational Sciences CoE - Computational Biology and Medicine** Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. The Synthetic Immunity team within the CS-CoE Computational Biology and Medicine department is seeking a talented and highly motivated Summer Intern with a strong computational and analytical background in computational biology, deep experience with single-cell RNA-seq data, and Large Language Models (LLMs). This internship position is located in **South San Francisco, on-site.** **The Opportunity** + Lead the development of a Transformer-based Language Model using the Cell to Sentence or similar frameworks to learn robust cell representations. + Aggregate, clean, and integrate large single-cell RNA-seq datasets. + Apply the trained LLM to fine-tune tasks, such as predicting phenotype shifts. + Work closely with established computational scientists to drive computational research in the pre-clinical. **Program Highlights** + Intensive 12-week, full-time (40 hours per week) paid internship. + The program start date is June or May. + 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 Education** **You meet one of the following criteria:** - Must be pursuing a PhD (enrolled student) **Required majors:** Computational Biology, Bioinformatics, Computer Sciences, or a related field. **Required Skills:** + Proficiency in Python and PyTorch. + Track record of developing or applying deep generative models and machine learning techniques to capture robust cell representations and perform dataset integration. + Conceptual understanding of transformer architecture and practical experience with self-supervised objectives for sequence data. + Expert proficiency with the single-cell ecosystem, including scanpy and working with large-scale AnnData objects. + Track record of working with single-cell RNA-sequencing data and application of machine learning techniques to cell representations. This includes, but is not limited to, knowledge of single-cell data processing methods and dataset integration, and machine learning methods to capture cell representations. + Experience working with Git for version control and utilizing High-Performance Computing (HPC) resources. **Preferred Knowledge, Skills, and Qualifications** + Knowledge of T cell biology and experience working with TCR sequencing data is a plus. + Excellent communication, collaboration, and interpersonal skills. + Detail-oriented, goal-driven, and dedicated to delivering high-quality results. + 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 range for this position based on the primary location of California is $50.00 per 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. 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 (***************************************************************************************************** .

** **2026** **Summer** **Intern -** **Computational Sciences CoE** **- Computational Biology and Medicine** Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Our team within the CS-CoE Computational Biology and Medicine department is seeking a talented and highly motivated Summer Intern with a strong computational and analytical background in computational biology. This internship position is located in **South San Francisco** **, on-site.** **The Opportunity** Our team focuses on advanced computational research for development of cancer therapies, specifically in the field of cancer immunogenomics. We currently have an exciting internship opportunity available for highly motivated and academically equipped students. The internship will involve contributing to our research on identifying non-canonical targets for cancer therapies. This role offers hands-on experience in computational pre-clinical research. The ideal intern for this role should have a strong background in cancer biology and genetics. + The candidate will be responsible for developing and/or applying bioinformatics approaches in analysing multiomics, expression, or sequence data. + The candidate will be responsible for documenting his or her efforts and code effectively such that colleagues will be able to replicate their efforts before and after their departure. + The candidate will be responsible for effectively communicating his or her technical and scientific findings in both smaller project meetings and larger group presentation formats. **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 Education:** **You meet one of the following criteria:** + Must be pursuing a PhD (enrolled student). + Must have attained a PhD. **Required Majors:** Bioinformatics, Computer Science or related fields, Statistics, Biology, Genetics, Bioengineering **Required Skills:** + The candidate should possess knowledge in human genetics or epigenetics, and should be familiar with genomics data, such as RNAseq or Riboseq data. + The candidate should be proficient in programming in Python, R, Julia, Perl, C, C++, and/or Java + Knowledge of Unix, preferably in an HPC setting. **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 range for this position based on the primary location of CA is $50.00 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. 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 (***************************************************************************************************** .

** **2026 Summer Intern - Computational Biology and Medicine** The Center for Excellence for Computational Sciences at Roche/Genentech is a data-driven organization focused on transforming how targets and therapeutics are discovered and developed. Within this division, the Computational Biology and Medicine (CBM) department analyzes biological and clinical data to advance the drug development pipeline. The successful candidate will collaborate with computational biologists in the CBM Neuroscience and Translational Medicine groups to analyze proteomic data from three multiple sclerosis clinical trials and develop an R Shiny application to support data sharing and data-driven decisions across early- and late-stage MS programs. This internship position is located in **South San Francisco or remote (USA only).** **The Opportunity** + Build a unified proteomics integration framework that harmonizes data across clinical studies and measurement platforms. + Build and deploy an interactive R Shiny application that enables cross-study querying, visualization, and exploration of proteomic biomarkers. + Create standardized data structures to support scalable cross-trial analysis and future expansion of the platform as new clinical datasets become available. + Develop dynamic visualization modules, including expression patterns, clinical and imaging correlations, treatment-effect summaries, and survival analyses. + Integrate proteomic insights with internally generated single-cell and single-nucleus RNA-seq atlases to support biological interpretation and target or biomarker discovery. **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 Education:** Must be pursuing a Master's Degree or PhD (enrolled student, PhD preferred). **Required Majors:** Bioinformatics, Computational biology, Statistics, Computer Science **Required Skills:** + Strong proficiency in R and experience building R Shiny applications for data visualization and exploration. + Demonstrated ability to work with large, multi-modal biological datasets, including data cleaning, harmonization, and structuring for analysis. + Solid understanding of statistical modeling and common analytical methods (e.g., correlation analysis, survival analysis, treatment-effect estimation). + Familiarity with proteomics or other high-dimensional omics data types. + Ability to communicate technical findings clearly and collaborate effectively with cross-functional scientific teams. **Preferred Knowledge, Skills, and Qualifications** + Experience integrating or visualizing single-cell or single-nucleus RNA-seq datasets + Background in neuroscience, immunology, or related biomedical fields. + Experience with interactive dashboard design, UX considerations, or front-end visualization libraries. + 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 range for this position based on the primary location of the state of California is $50.00 per 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. 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 (***************************************************************************************************** .

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. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. This internship position is located in South San Francisco, on-site. The Opportunity The XY and Li Labs are seeking a PhD intern with deep expertise in AI Agent architectures to advance our capabilities in Optical Pooled Screens (OPS). Our teams have developed high-performance internal computational frameworks to process terabytes of OPS data. However, optimal execution of these pipelines currently relies on complex, manual configuration by domain experts. We are looking for a researcher to build an autonomous agentic system capable of driving these internal tools. The goal is to move from "human-in-the-loop" operation to a fully autonomous reasoning engine that can optimize data processing strategies on the fly. Key Responsibilities: Architecture: Design a modular Python-based agent capable of "tool use" (invoking internal binary executables and APIs). API & Documentation: Build a production-grade interface for the agent. You must prioritize clear, standard communication protocols to ensure the agent can be easily integrated into broader multi-agent workflows. Benchmarking: Establish a rigorous evaluation framework to quantify the agent's ability to converge on optimal processing configurations compared to human experts. Project Scope Autonomous Pipeline Optimization: Design an agent capable of utilizing our internal OPS CLI and Python tools. The agent must autonomously test hypotheses on raw image data to determine optimal parameters for image stitching, registration, and feature extraction. Agentic Reasoning & Recovery: Implement a robust reasoning loop (e.g., Plan-and-Solve, ReAct) that can interpret structured quality control logs. The system should effectively diagnose failure modes-distinguishing between data anomalies and configuration errors-and self-correct without human intervention. Interoperable System Design: A critical requirement is the ability of this agent to exist within a larger automated ecosystem. You will design and implement a well-documented, standard API (REST/OpenAPI) for the agent. This interface must allow third-party orchestrators or other specialized agents to communicate with your system, submit jobs, and negotiate parameters programmatically. Program Highlights Intensive 12-weeks full-time (40 hours per week) paid internship. Program start dates are in May.18 2026 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 Education Must be pursuing a PhD (enrolled student). Must have attained a PhD. Required Majors Computer Sciences, Data Sciences, Artificial Intelligence, Machine Learning, Applied Mathematics, Applied Physics, Computational Biology, Biomedical Engineering, Bioinformatics, Data Engineering. Required Skills Advanced Expertise in AI Agents: You are currently researching or building complex agentic systems. You have deep knowledge of orchestration frameworks (e.g., LangGraph, AutoGen), state management, and tool-calling patterns. Strong Software Engineering: Expert Python system designer with experience in Model Context Protocol (MCP) and Agent Communication protocol (ACP) implementation. Data Fluency: While biological expertise is not required, you must be comfortable working with high-dimensional data and complex optimization landscapes. Collaborative Mindset: Ability to work at the intersection of two labs, translating computer science concepts into practical solutions for biological discovery. Preferred Knowledge, Skills, and Qualifications 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 range for this position based on the primary location of California is $50.00 per 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. 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.

The Computational Sciences Center of Excellence (CS CoE) builds AI and data platforms that accelerate scientific discovery across Genentech Research and Early Development. Our teams partner closely with scientists to transform complex biomedical data into scalable, reusable capabilities that enable insight generation and data-driven decision-making. The Data & Digital Catalysts group within the Computational Sciences Center of Excellence is a diverse, curious, and action-driven team at the intersection of computation, engineering, and science. We are dedicated to advancing our technical excellence by partnering with informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision-making. Our goal is to modernize our ability to acquire, store, link, share, find, and analyze data across the organization through scalable and integrated solutions that make every data point count. This internship supports emerging AI search and insights capabilities that help scientists explore diverse biomedical data in more intuitive and meaningful ways. This internship position is located in South San Francisco, CA, on-site (hybrid possible depending on team alignment). The Opportunity As an AI/ML Engineering Intern, you will contribute to the prototyping of a multimodal semantic search system that enables scientists to retrieve biomedical data based on meaning rather than metadata. You will work alongside experienced engineers and scientists on a well-scoped, hands-on project with real-world impact. Key responsibilities include: Implementing machine-learning-based embedding pipelines Supporting vector-based semantic search across diverse data types Building simple APIs to enable search and retrieval workflows Evaluating retrieval quality and system behavior Presenting a working prototype and technical summary at internship close Program Highlights: Intensive 12-weeks / 6 months / 12 months, 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. Required Education Must be pursuing a Bachelor's Degree (enrolled student). Must have attained a Bachelor's Degree (not currently enrolled in a graduate program). Must be pursuing a Master's Degree (enrolled student). Must have attained a Master's Degree. Must be pursuing a PhD (enrolled student). Must have attained a PhD. Required Majors Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computational Biology, Biomedical Engineering, Bioinformatics, or a related field. Required Skills Proficiency in Python Experience with machine learning or data-driven projects Ability to work with complex datasets Preferred Knowledge, Skills, and Qualifications Exposure to embeddings, semantic search, or vector databases Experience with scientific, biomedical, or image-based data Familiarity with modern ML libraries (e.g., Hugging Face) Strong communication and collaboration skills Alignment with Genentech's values of Integrity, Courage, and Passion Familiarity with ML frameworks (e.g., PyTorch) (Preferred) Exposure to APIs or backend services (Preferred) Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of California is $50.00 per 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. 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.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Our team within the CS-CoE Computational Biology and Medicine department is seeking a talented and highly motivated Summer Intern with a strong computational and analytical background in computational biology. This internship position is located in South San Francisco, on-site. The Opportunity Our team focuses on advanced computational research for development of cancer therapies, specifically in the field of cancer immunogenomics. We currently have an exciting internship opportunity available for highly motivated and academically equipped students. The internship will involve contributing to our research on identifying non-canonical targets for cancer therapies. This role offers hands-on experience in computational pre-clinical research. The ideal intern for this role should have a strong background in cancer biology and genetics. The candidate will be responsible for developing and/or applying bioinformatics approaches in analysing multiomics, expression, or sequence data. The candidate will be responsible for documenting his or her efforts and code effectively such that colleagues will be able to replicate their efforts before and after their departure. The candidate will be responsible for effectively communicating his or her technical and scientific findings in both smaller project meetings and larger group presentation formats. 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 Education: You meet one of the following criteria: Must be pursuing a PhD (enrolled student). Must have attained a PhD. Required Majors: Bioinformatics, Computer Science or related fields, Statistics, Biology, Genetics, Bioengineering Required Skills: The candidate should possess knowledge in human genetics or epigenetics, and should be familiar with genomics data, such as RNAseq or Riboseq data. The candidate should be proficient in programming in Python, R, Julia, Perl, C, C++, and/or Java Knowledge of Unix, preferably in an HPC setting. 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 range for this position based on the primary location of CA is $50.00 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. 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.

At Genentech Research & Early Development (gRED), the Data Digital Catalysts group within the Computational Sciences - Center of Excellence department is a diverse, curious, and action-driven team at the intersection of computation, engineering, and science. We focus on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision-making. By leveraging modern computational approaches, we aim to revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. Within Computational Catalysts, our team specializes in the practical applications of AI to develop the next generation of tools for scientists and optimize operations. We work on diverse, impactful projects such as streamlining the authoring and review of regulatory documents, enhancing data exploration through chat-driven search, and integrating AI into visualization tools to interpret data and provide contextual insights. Our mission is to deliver scalable, innovative solutions that empower scientists and drive meaningful advancements in medicine. This internship position is located in South San Francisco, Hybrid (3 days on site). The Opportunity Apply cutting-edge LLM and Generative AI to high-impact R&D projects in drug discovery. Work on a diverse range of projects, including: LLM-based AutoML, building in-house search applications, or creating custom AI plugins. Collaborate with world-class experts across Computational Science, Data Science, and Biology on interdisciplinary challenges. Evolve AI prototypes into user-facing tools for scientists, gaining practical agile development experience. Present internship results to internal and external audiences. 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 Education Must be pursuing a Master's Degree (enrolled student). Must be pursuing a PhD (enrolled student). Required Majors Computer Science, Information Science, Data Science, Data Engineering, Software Engineering, Computational Biology, Bioinformatics, Cheminformatics Required Skills: High proficiency in data processing, analysis, and programming using Python. Experience developing with deep learning (e.g., PyTorch), LLM frameworks (e.g., HuggingFace, LangChain), or major AI APIs (e.g., OpenAI, Gemini, Claude). Experience using version control systems such as Git. Preferred Knowledge, Skills, and Qualifications Foundational knowledge of biology or drug discovery. Experience with accepted peer-reviewed publications and presentations in academic conferences. Participation experience in hackathons or coding competitions. Experience with agent-based development or advanced AI-assisted coding methodologies. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of the state of California is $50.00 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. 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.

The Computational Biology and Medicine (CBM) department is a key pillar of the Computational Sciences Center of Excellence (CS-CoE) within Genentech's Research and Early Development (gRED) organization. We are a diverse team of computational biologists and data scientists with deep expertise spanning genomic methodologies, multi-modal data analysis, and therapeutic areas. In CBM, we bridge the gap between dry-lab and wet-lab. We collaborate closely with disease biologists, experimentalists, and AI/ML researchers to deploy rigorous analytical frameworks that drive decision-making. Our mission is to transform complex biological data into actionable insights that accelerate target discovery and biomarker development. This internship position is located in South San Francisco, on-site. The Opportunity As a computational biology intern, you will join a vibrant, rigorous, and industry-leading research community. You will have the chance to contribute directly to our early discovery pipeline by developing tools to interpret large-scale genetic screening data. You will: Explore and Analyze Perturbation Data: Dive into large-scale genetic perturbation datasets (e.g., Perturb-seq) to understand the landscape of gene function and regulation. Benchmark Machine Learning Methods: Rigorously test and evaluate statistical and machine learning approaches, such as matrix factorization and other dimensionality reduction techniques, to identify robust gene expression programs and perturbation modules. Innovate Annotation Strategies: Develop and apply computational methods to biologically annotate identified modules, connecting statistical signals to meaningful biological mechanisms. Build Scientific Software: Design and implement software tools to database, query, and visualize results, enabling wider access to these insights for the broader research team. Collaborate and Present: Engage with cross-functional teams and present your research at internal seminars. 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 Education Must be pursuing a PhD (enrolled student). Required Majors: Computer Science, Statistics, Mathematics, Computational Biology, Biostatistics, or a related field. Required Skills: Proficiency in bioinformatics (programming in R or Python, and HPC). Experience developing/applying statistical or computational methods to analyze omics data. Experience with sc RNA-seq data 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. Experience with dimensionality reduction techniques and/or perturbation data. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of the state of California is $50.00 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. 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.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. The Synthetic Immunity team within the CS-CoE Computational Biology and Medicine department is seeking a talented and highly motivated Summer Intern with a strong computational and analytical background in computational biology, deep experience with single-cell RNA-seq data, and Large Language Models (LLMs). This internship position is located in South San Francisco, on-site. The Opportunity Lead the development of a Transformer-based Language Model using the Cell to Sentence or similar frameworks to learn robust cell representations. Aggregate, clean, and integrate large single-cell RNA-seq datasets. Apply the trained LLM to fine-tune tasks, such as predicting phenotype shifts. Work closely with established computational scientists to drive computational research in the pre-clinical. Program Highlights Intensive 12-week, full-time (40 hours per week) paid internship. The program start date is June or May. 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 Education You meet one of the following criteria: - Must be pursuing a PhD (enrolled student) Required majors: Computational Biology, Bioinformatics, Computer Sciences, or a related field. Required Skills: Proficiency in Python and PyTorch. Track record of developing or applying deep generative models and machine learning techniques to capture robust cell representations and perform dataset integration. Conceptual understanding of transformer architecture and practical experience with self-supervised objectives for sequence data. Expert proficiency with the single-cell ecosystem, including scanpy and working with large-scale AnnData objects. Track record of working with single-cell RNA-sequencing data and application of machine learning techniques to cell representations. This includes, but is not limited to, knowledge of single-cell data processing methods and dataset integration, and machine learning methods to capture cell representations. Experience working with Git for version control and utilizing High-Performance Computing (HPC) resources. Preferred Knowledge, Skills, and Qualifications Knowledge of T cell biology and experience working with TCR sequencing data is a plus. Excellent communication, collaboration, and interpersonal skills. Detail-oriented, goal-driven, and dedicated to delivering high-quality results. 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 range for this position based on the primary location of California is $50.00 per 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. 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.

About the role: The Computational Biology group at 10x Genomics is looking for an outstanding intern to work with us in the summer of 2026 for our Xenium product. This person will investigate and develop approaches on Few-Shot Learning for adapting a pre-trained cell segmentation model to a much wider range of cell morphologies, using only a very limited amount of annotated samples. They will work closely with our imaging and assay-development teams to push the state-of-the-art in spatial transcriptomics. The intern will be involved in selecting, implementing, testing, and optimizing models for the purpose of few shot learning, rapidly prototyping methods for internal experiments and early R&D. Interns will work on a mix of “real-world” product features that will ship to customers soon, and longer-term exploratory proof-of-concept work to test new ideas. Individuals applying for this position should have a strong background in computer vision and machine learning. You have a deep understanding of the theory, implementation, and practical application of various relevant algorithms. You can take an idea, quickly implement it in code, and evaluate its performance. You must be self-starters, strategic thinkers, action driven, and thrive in a fast paced environment. What You Will Be Doing: Select, implement, test, and optimize prediction methods to extract relevant information from imaging data. Rapidly prototype methods for internal experiments & early R&D Build analytical models or simulations to understand and communicate key trade-offs of model design and data quality. Create high-quality and robust implementations of production algorithms. Required Skills and Background: Currently enrolled in a M.S. or Ph.D program in computer science, computational biology or a related field Strong skills in image processing (feature extraction, object detection & classification, segmentation, etc.), including both classical algorithmic approaches and deep learning. Strong programming ability in Python or Rust/C/C++ Ability to research existing methods from literature, adapt them to the problems at hand, and turn them into well architected code. A combination of mathematical depth with a healthy respect for the imperfections inherent in real-world data. Experience with cell, fluorescence, and/or histology imaging is a plus. Below is the base pay range for this position. The actual base pay will depend on several factors unique to each candidate, including one's skills, qualifications, and experience. Unless otherwise required by law, this role is not eligible for 10x's health benefit program. During the hiring process, your 10x recruiter can share more information about the Company's compensation and benefits. Pay Range$40-$48 USD About 10x Genomics At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law. 10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

Who We Are: At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs. What We Do: Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine and neuropsychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, endometriosis* and uterine fibroids,* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X and Facebook. ( *in collaboration with AbbVie ) About the Role:Neurocrine Biosciences, Inc. (NASDAQ: NBIX) is offering the opportunity to gain bioinformatics and computational biology experience in the world of biotechnology and pharmaceutical drug development. Our intern program offers exposure to the application of computational biology to drug discovery in the Data Science, Biology and Neuroimmunology groups to help guide decision making in early clinical development. The Bioinformatics team has a strong reputation in the industry for development and application of statistical, machine learning and AI tools to complex multidimensional biological datasets to advance drug discovery. The successful candidate will have expertise and an interest in computational biology applications to advance drug discovery. _ Your Contributions (include, but are not limited to): Supporting a range of activities, including applying cutting edge computational methods for drug discovery insights and biomarker identification in genetic, genomic, multi-omic and proteomic datasets The candidate will have the opportunity to design, implement and run computational pipelines and workflows, including data processing, basic modeling, and visualization Support biology groups in understanding disease mechanism, main scientific questions and building hypotheses Assist with any data science related tasks including quality control, automation and determination of most appropriate algorithms and statistics to use Interacting with IT, biology and lead generation teams within the company Collaborating with a mentor team of cross-functional team members and the other interns in the class Completing a special project and presenting the recommendations to senior management upon completion Requirements: Pursuing a PhD with an interest in bioinformatics, computational biology, bioengineering, data science, and or computer science or a related technical field Expertise with at least one programming language (R, Python, Shell) and knowledgeable of LLM usage Prior experience in the pharmaceutical or biotechnology industry would be an asset but is not required Strong work ethic, good verbal and written communication skills, and excellent scientific skills are required Ability to think creatively and be a team player Interest in attending program events (e.g., career development workshops, social gatherings) is required Offer flexibility with a willingness to work on multiple projects simultaneously Bring to the Company a skill set complementary to its technology and development of therapeutics Familiarity with biopharmaceutical technologies, physical and life sciences, product development, and regulatory approval processes is desirable Interest in attending various program events, including social gatherings, career development workshops, and more Ability to commit to a 10-week, full-time (40-hours per week) summer program is required Student must be on-site in San Diego, CA for the duration of the internship Neurocrine Biosciences is an EEO/Disability/Vets employer. We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don't line up to exactly what we have outlined in the job description.

Who We Are: At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs. What We Do: Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine and neuropsychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, endometriosis* and uterine fibroids,* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X and Facebook. (*in collaboration with AbbVie) About the Role: Neurocrine Biosciences, Inc. (NASDAQ: NBIX) is offering the opportunity to gain bioinformatics and computational biology experience in the world of biotechnology and pharmaceutical drug development. Our intern program offers exposure to the application of computational biology to drug discovery in the Data Science, Biology and Neuroimmunology groups to help guide decision making in early clinical development. The Bioinformatics team has a strong reputation in the industry for development and application of statistical, machine learning and AI tools to complex multidimensional biological datasets to advance drug discovery. The successful candidate will have expertise and an interest in computational biology applications to advance drug discovery. _ Your Contributions (include, but are not limited to): * Supporting a range of activities, including applying cutting edge computational methods for drug discovery insights and biomarker identification in genetic, genomic, multi-omic and proteomic datasets * The candidate will have the opportunity to design, implement and run computational pipelines and workflows, including data processing, basic modeling, and visualization * Support biology groups in understanding disease mechanism, main scientific questions and building hypotheses * Assist with any data science related tasks including quality control, automation and determination of most appropriate algorithms and statistics to use * Interacting with IT, biology and lead generation teams within the company * Collaborating with a mentor team of cross-functional team members and the other interns in the class * Completing a special project and presenting the recommendations to senior management upon completion Requirements: * Pursuing a PhD with an interest in bioinformatics, computational biology, bioengineering, data science, and or computer science or a related technical field * Expertise with at least one programming language (R, Python, Shell) and knowledgeable of LLM usage * Prior experience in the pharmaceutical or biotechnology industry would be an asset but is not required * Strong work ethic, good verbal and written communication skills, and excellent scientific skills are required * Ability to think creatively and be a team player * Interest in attending program events (e.g., career development workshops, social gatherings) is required * Offer flexibility with a willingness to work on multiple projects simultaneously * Bring to the Company a skill set complementary to its technology and development of therapeutics * Familiarity with biopharmaceutical technologies, physical and life sciences, product development, and regulatory approval processes is desirable * Interest in attending various program events, including social gatherings, career development workshops, and more * Ability to commit to a 10-week, full-time (40-hours per week) summer program is required * Student must be on-site in San Diego, CA for the duration of the internship Neurocrine Biosciences is an EEO/Disability/Vets employer. We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don't line up to exactly what we have outlined in the job description.