Program Development Internship jobs at Laboratory Corporation of America Holdings - 1537 jobs

High-quality patient care increasingly relies on accurate, meaningful communication through connected devices and healthcare providers. Ohio at Home's primary focus is to provide a secure collaborative framework for health care monitoring and interactive devices to work seamlessly with all parties involved in the patient's care. We look for self-starters who thrive in a fast-paced, agile environment - which means wearing many hats, being able to change direction quickly, and showing an eagerness to learn new technologies as the need arises. In this role you work with a small, collaborative team of engineers, product managers, and designers. Key Responsibilities May Include Full stack web/mobile application development using a variety of languages including but not limited to C#, Node.js, Swift, Kotlin, JavaScript, HTML, etc. Design and develop highly scalable production level code for our enterprise products using AngularJs, Angular and many other web frameworks. Implement RESTful + JSON based APIs. Develop automated solutions to build, deploy, and test applications in a cloud environment. Work closely alongside other developers and QA engineers using the Agile software development methodology. Write automated unit tests. Work in a dynamic, changing environment using continuous integration and a dev-ops model to rapidly develop, test, and deploy code into production.

2026 Summer Intern - Protein Sciences, Bioengineering As part of the Drug Discovery organization in Genentech Research and Early Development (gRED), the mission of the Protein Sciences Department is to positively impact and accelerate our Genentech and Roche-wide vision to develop the next generation of medicines for patients. We do this by collaboratively leveraging our combined expertise in Protein Engineering & Production, Structural Biology, and Next Generation Therapeutics. This allows us to design, generate and characterize superior proteins and therapeutic molecules of ever-increasing complexity, thereby providing a competitive advantage to gRED. This internship position is located in South San Francisco, on-site. The Opportunity * We are seeking a motivated intern to contribute to a high-priority project within our Bioengineering group. * This role focuses on the intersection of molecular tool development and advanced cell engineering. Key Responsibilities: * Molecular Engineering: Support the design and preparation of engineered proteins encoded by nucleic acid templates for targeted genomic integration. * Analytical Characterization: Utilize biochemical and biophysical assays to ensure the quality and structural integrity of molecular components. * Cellular Engineering: Assist in the cultivation and engineering of primary mammalian cells using state-of-the-art delivery platforms and gene-editing technologies. * Biological Assessment: Perform molecular and cellular assays (including qPCR and flow cytometry) to evaluate cellular responses and engineering efficiency. * Data Synthesis: Analyze and present complex datasets to cross-functional teams to drive project decisions. Program Highlights * Intensive 12-weeks, full-time (40 hours per week) paid internship. * Program start dates are in May/June 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 You meet one of the following criteria: * Must have recently attained a Master's Degree with thesis. * Must be pursuing a PhD (enrolled student). Required Majors: Molecular/Cellular Biology, Bioengineering, Immunology, Protein Engineering, or a related experimental discipline. Required Skills: * Expertise in wet-lab skills including but not limited to molecular cloning, mammalian cell culture, gene editing, cell engineering, flow cytometry, data analysis. Preferred Knowledge, Skills, and Qualifications: * Experience and/or successful coursework in molecular biology, mammalian cell culture, and gene-editing workflows is a strong plus. * Excellent communication, collaboration, and interpersonal skills. * Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion. * Motivated, collaborative, self-directed individual who is excited about developing new cell based therapeutics in an industry setting. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of California is $40.00-$46.00 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.

Benefits: Employee discounts Flexible schedule Free uniforms Opportunity for advancement Training & development Wellness resources WE ARE OFFERING AN UNPAID INTERSHIP AT F45 IN WEST HARTFORD, CT. One will gain experience with: Coach in person group sessions alongside another one of our lead coaches Assist our personal trainers in there 1:1 Personal Training or small group sessions Movement Correction and Assessment training Nutritional Guidance training Scheduling Operations + Studio Maintenance InBody + Goal Assessments Trainer Development Plan Benefits: Free F45 membership Free Uniform Free Certifications Free Red-Light Therapy, Compression, Cryotherapy, Red-Light Sauna Free floats + Contrast Therapy at Float 41 Hands on training experience Flexible schedule Co-coaching style sessions Ideal Candidate: Energetic trainers with GREAT character and a thirst for learning to join our super fun team and position. Have a growth mindset and wants to be part of a high performing and understanding team Is a positive spark, doesn't take things too seriously, but is still professional and values personal connections Up for a challenge, you thrive in a fast-paced, ever-evolving environment and like the idea of meeting lots of people and keeping our members happy Compensation: $17.00 - $17.00 per hour We embody and live our brand. We are natural team players who have big ideas. We know that a strong team is a diverse team, and we use diversity as a means to get creative and build a company that changes lives. Most importantly, at F45, we care about each other. We have fun, solve problems and hand out a ton of high-fives. CULTURE THAT CRUSHES IT Our mission at F45 is to create the world's greatest workout. This isn't only about creating an unbelievable fitness experience-it's about building a community and culture. As evidenced by HQ and every F45 studio around the world, culture isn't just about appearance. It's about our core beliefs, how we treat each other, how we make decisions, and most importantly, bringing a sense of fun and friendship to everything we do. This franchise is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of this franchisee. All inquiries about employment at this franchisee should be made directly to the franchise location, and not to F45 Corporate. Applicants, please be aware your data collected is governed by F45's privacy policy. Please see the F45 privacy policy for details.

** **2026 Summer Intern - Computational Sciences Center of Excellence AI for Drug Discovery** 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. We seek exceptional interns who are eager to implement novel ideas with efficient code. Interns will collaborate with engineers and scientists on high-impact projects, developing critical software and data solutions for AI4DD (AI for drug discovery), CS CoE, Genentech, and Roche. We value candidates enthusiastic about automation, scalable services, and ML infrastructure. A biomedical background is beneficial but not required. **This internship position is located in New York, on-site.** **The Opportunity** + Creating software/data solutions to enable ML driven in-silico drug discovery. + Contribute to our current data infrastructure. + Collaborate closely with engineers and scientists to work on active projects. **Program Highlights** + **Intensive 12-weeks, full-time (40 hours per week) paid internship.** + **Program start dates are in May /June 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)** **Required Education:** You meet one of the following criteria: + Must be pursuing a Bachelor's Degree (enrolled student). + Must be pursuing a Master's Degree (enrolled student). **Required Majors:** Computer Science/Engineering, Data/Information Science, or related fields. **Required Skills:** + Strong programming skills in Python or another relevant language; ability to write, optimize, debug, and test production-ready code, and previous software/data engineering work experience. + Knowledge and understanding of version control and the software development process, and the ability to work in a team environment. + Experience in working across different layers of the technology stack. + Experience and interest in automation through software. + Familiarity with databases, and ML model inference and evaluation. + Keen interest in scientific software and applications, and enthusiasm about ML in the life sciences. **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. + Working experience with CI/CD. + Working experience deploying applications to cloud infrastructure. + Knowledge and understanding of Kubernetes. + Experience with data/ML workflow orchestrators. **Relocation benefits are not available for this job posting.** The expected salary range for this position based on the primary location of New York is $45.00-$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 AI for Drug Discovery 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. We seek exceptional interns who are eager to implement novel ideas with efficient code. Interns will collaborate with engineers and scientists on high-impact projects, developing critical software and data solutions for AI4DD (AI for drug discovery), CS CoE, Genentech, and Roche. We value candidates enthusiastic about automation, scalable services, and ML infrastructure. A biomedical background is beneficial but not required. This internship position is located in New York, on-site. The Opportunity * Creating software/data solutions to enable ML driven in-silico drug discovery. * Contribute to our current data infrastructure. * Collaborate closely with engineers and scientists to work on active projects. Program Highlights * Intensive 12-weeks, full-time (40 hours per week) paid internship. * Program start dates are in May /June 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) Required Education: You meet one of the following criteria: * Must be pursuing a Bachelor's Degree (enrolled student). * Must be pursuing a Master's Degree (enrolled student). Required Majors: Computer Science/Engineering, Data/Information Science, or related fields. Required Skills: * Strong programming skills in Python or another relevant language; ability to write, optimize, debug, and test production-ready code, and previous software/data engineering work experience. * Knowledge and understanding of version control and the software development process, and the ability to work in a team environment. * Experience in working across different layers of the technology stack. * Experience and interest in automation through software. * Familiarity with databases, and ML model inference and evaluation. * Keen interest in scientific software and applications, and enthusiasm about ML in the life sciences. 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. * Working experience with CI/CD. * Working experience deploying applications to cloud infrastructure. * Knowledge and understanding of Kubernetes. * Experience with data/ML workflow orchestrators. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of New York is $45.00-$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.

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 AI & Computational Chemistry Intern will support discovery research at Arrowhead Pharmaceuticals by contributing to an AI-driven virtual compound library initiative. This internship offers hands-on experience working at the intersection of computational chemistry, cheminformatics, and machine learning to support early-stage drug discovery. The intern will play a meaningful role by executing focused technical tasks, improving computational workflows, and supporting model development, helping accelerate project timelines and enhance data quality across the discovery organization. This is an 11-week Summer Internship Program paying $24.00 per hour and requires full-time, onsite work five days per week at the designated location. Responsibilities Curate, clean, and preprocess molecular and structural datasets to support AI model development and evaluation. Contribute to algorithm prototyping, benchmarking, and computational experiments related to virtual compound library generation. Help automate repetitive computational tasks using Python or related scripting tools to improve workflow efficiency. Assist in development and evaluation of machine learning or deep learning models supporting virtual compound libraries. Collaborate with scientists and engineers to test new ideas, troubleshoot issues, and iterate on computational designs. Document workflows, results, and methodologies to support reproducibility and knowledge sharing. Requirements Currently pursuing a Bachelor's degree in Computational Chemistry, Chemistry, Bioinformatics, Computer Science, Data Science, or a related technical field. Basic proficiency in Python and familiarity with scientific or data-processing libraries (e.g., NumPy, pandas, RDKit, PyTorch, TensorFlow). Fundamental understanding of molecular structures, chemical representations, or machine learning concepts. Strong problem-solving skills and ability to work independently within established computational workflows. Excellent verbal and written communication skills. Preferred: Hands-on experience with Linux environments, shell scripting, or GPU computing. Prior research or project experience in AI, drug discovery, computational modeling, or molecular biology. Familiarity with deep learning frameworks or cheminformatics toolkits. Strong curiosity and motivation to learn at the interface of AI, chemistry, and biology. Interest in pursuing a career in computational drug discovery or data-driven research. California pay range $10,560-$10,560 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

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 AI & Computational Chemistry Intern will support discovery research at Arrowhead Pharmaceuticals by contributing to an AI-driven virtual compound library initiative. This internship offers hands-on experience working at the intersection of computational chemistry, cheminformatics, and machine learning to support early-stage drug discovery. The intern will play a meaningful role by executing focused technical tasks, improving computational workflows, and supporting model development, helping accelerate project timelines and enhance data quality across the discovery organization. This is an 11-week Summer Internship Program paying $24.00 per hour and requires full-time, onsite work five days per week at the designated location. Responsibilities Curate, clean, and preprocess molecular and structural datasets to support AI model development and evaluation. Contribute to algorithm prototyping, benchmarking, and computational experiments related to virtual compound library generation. Help automate repetitive computational tasks using Python or related scripting tools to improve workflow efficiency. Assist in development and evaluation of machine learning or deep learning models supporting virtual compound libraries. Collaborate with scientists and engineers to test new ideas, troubleshoot issues, and iterate on computational designs. Document workflows, results, and methodologies to support reproducibility and knowledge sharing. Requirements Currently pursuing a Bachelor's degree in Computational Chemistry, Chemistry, Bioinformatics, Computer Science, Data Science, or a related technical field. Basic proficiency in Python and familiarity with scientific or data-processing libraries (e.g., NumPy, pandas, RDKit, PyTorch, TensorFlow). Fundamental understanding of molecular structures, chemical representations, or machine learning concepts. Strong problem-solving skills and ability to work independently within established computational workflows. Excellent verbal and written communication skills. Preferred: Hands-on experience with Linux environments, shell scripting, or GPU computing. Prior research or project experience in AI, drug discovery, computational modeling, or molecular biology. Familiarity with deep learning frameworks or cheminformatics toolkits. Strong curiosity and motivation to learn at the interface of AI, chemistry, and biology. Interest in pursuing a career in computational drug discovery or data-driven research. California pay range $10,560-$10,560 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

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

** **2026 Summer Intern - Computational Biology and Medicine - Immunology** 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 Immunology and CVRM team within the CS-CoE Computational Biology and Medicine department is seeking a highly motivated Summer Intern with a strong background in computational biology, deep experience with single-cell RNA-seq and ATAC-seq data, as well as deep understanding of gene regulatory networks and inference methods. **This internship position is located in South San Francisco, on-site.** **The Opportunity** This internship focuses on the analysis of state-of-the-art single-cell multiome (RNA + ATAC) data derived from IBD patient biopsies. The project offers a high-resolution view of transcriptional regulation in disease-relevant immune and epithelial cells. The primary objective is to process multi-modal data and apply advanced inference methods to reconstruct the gene regulatory networks driving inflammatory disease. + Data Integration & Atlas Management: Execute end-to-end processing, including QC, normalization, and cell-type annotation, of RNA + ATAC datasets. This includes integrating new data into the existing IBD single-cell atlas to enable joint visualization and cohort-wide exploration. + Regulatory Network Inference: Apply GRN inference frameworks to infer enhancer-driven gene regulatory modules across key cell types. This involves generating comprehensive maps and visualizations of the transcription factor (TF) networks that distinguish inflammatory from resolving disease states. + Biological Interpretation & Model Validation: Relate inferred regulatory networks to known IBD pathways and GWAS loci. This includes translating inferred regulatory networks into actionable biological insights and delivering a refined set of enhancer-gene interactions and a report on their relevance to IBD pathology. **Program Highlights** + **Intensive 12-week, full-time (40 hours per week) paid internship.** + **Program start dates are in May /June 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)** **Required Education:** + Must be pursuing a PhD (enrolled student). **Required Majors:** Computational Biology, Bioinformatics, Biomedical Engineering, Computer Sciences, or a related field. **Required Skills:** + Proficiency in R or Python, and single-cell analysis frameworks. + Strong understanding of transcriptional regulation and gene regulatory networks (GRN). + Strong experience with GRN inference methods. + Ability to translate complex analyses to interpretable biological insights is critical for success in this role. + Experience working with Git for version control and utilizing High-Performance Computing (HPC) resources. + Excellent communication, collaboration, and interpersonal skills. + Detail-oriented, goal-driven, and dedicated to delivering high-quality results. **Preferred Knowledge, Skills, and Qualifications** + Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion. + Knowledge of autoimmune diseases, such as Inflammatory Bowel Disease, is highly desirable. **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 Cancer Biology & AI** 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 organizations 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. **This internship is located in South San Francisco, California On-Site.** **The Opportunity** This project offers a unique opportunity for a talented intern to work at the intersection of deep learning, genomics, and cancer biology. The intern will apply multi-modal foundation models to novel high-throughput functional genomics datasets to predict how cancer cells respond to genetic perturbations. The core of the project will involve not only predicting these responses but also delving into under hood using model interpretability techniques. Here, the overarching goal is to uncover biologically relevant biomarkers that explain why certain perturbations have profound effects in specific contexts, thereby guiding future target discovery. Over a 3- or 6-month period (6-preferred, but >3- is workable), the intern will gain hands-on experience with large-scale genomic data analysis, and cutting-edge machine learning methods in oncology. **Program Highlights** + **Intensive 6-month, full-time (40 hours per week) paid internship.** + **Program start dates are in May/June 2025.** + **A stipend 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 must be pursuing a PhD (enrolled student) **Required Majors** Computational Biology, Bioinformatics, Statistics, Computer Science, or related fields. **Required Skills** + Strong proficiency in coding with Python. + Deep knowledge of traditional machine learning, statistical principles, regression analysis. + Experience with transformer-based foundation models and/or modern AI frameworks; eg. PyTorch + Previous experience working with genomic data, especially single-cell data, is highly desirable. **Preferred Knowledge, Skills, and Qualifications** + Good understanding of cancer biology, oncogenic mechanisms & signaling pathways. + 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 (***************************************************************************************************** .

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations 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 Immunology and CVRM 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, spatial transcriptomics, and integrating multi-omics data using neural networks. This internship position is located in South San Francisco, On - Site. The Opportunity Lead the integration of multi-omic clinical trial data using advanced neural network methods such as transformers, GNNs, and VAEs for patient classification, patient stratification, or to understand therapeutic response. Apply multi-omic integration methods to single cell/nuclei, spatial transcriptomics, and clinical data. Compare integration methods against existing ML approaches including existing foundational models and identify novel multi-omic insights including patient classification and biological insights. Work closely with established computational scientists, biomarker development scientists, and key stakeholders across the drug development pipeline. Program Highlights Intensive 12-week, full-time (40 hours per week) paid internship. Program start dates are in May/June 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) Required Education: Must be pursuing a PhD (enrolled student). Required majors: Computational Biology, Bioinformatics, Artificial Intelligence and Machine Learning, Computer Science, Immunology or related field. Required Skills: Proficiency in Python and PyTorch. Track record of developing or applying neural networks, GNNs, VAEs, and machine learning techniques to perform multi-omic integration of single cell, spatial transcriptomics, proteomics, bulk, human genetics, or clinical tabular data. Conceptual understanding of neural network architecture and multi-omic integration of data. Expert proficiency with the single cell and spatial transcriptomics ecosystem, including Scanpy and working with large-scale AnnData objects. Use of GPU-enabled workflows is a plus. Experience working with Git for version control and utilizing High-Performance Computing (HPC) resources. 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. Knowledge of autoimmune diseases, such as Inflammatory Bowel Disease is a plus. Detail-oriented, goal-driven, and dedicated to delivering high-quality results. 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.

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 organizations 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. This internship is located in South San Francisco, California On-Site. The Opportunity This project offers a unique opportunity for a talented intern to work at the intersection of deep learning, genomics, and cancer biology. The intern will apply multi-modal foundation models to novel high-throughput functional genomics datasets to predict how cancer cells respond to genetic perturbations. The core of the project will involve not only predicting these responses but also delving into under hood using model interpretability techniques. Here, the overarching goal is to uncover biologically relevant biomarkers that explain why certain perturbations have profound effects in specific contexts, thereby guiding future target discovery. Over a 3- or 6-month period (6-preferred, but >3- is workable), the intern will gain hands-on experience with large-scale genomic data analysis, and cutting-edge machine learning methods in oncology. Program Highlights Intensive 6-month, full-time (40 hours per week) paid internship. Program start dates are in May/June 2025. A stipend 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 must be pursuing a PhD (enrolled student) Required Majors Computational Biology, Bioinformatics, Statistics, Computer Science, or related fields. Required Skills Strong proficiency in coding with Python. Deep knowledge of traditional machine learning, statistical principles, regression analysis. Experience with transformer-based foundation models and/or modern AI frameworks; eg. PyTorch Previous experience working with genomic data, especially single-cell data, is highly desirable. Preferred Knowledge, Skills, and Qualifications Good understanding of cancer biology, oncogenic mechanisms & signaling pathways. 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.

2026 Summer Intern - Computational Cancer Biology & AI 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 organizations 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. This internship is located in South San Francisco, California On-Site. The Opportunity This project offers a unique opportunity for a talented intern to work at the intersection of deep learning, genomics, and cancer biology. The intern will apply multi-modal foundation models to novel high-throughput functional genomics datasets to predict how cancer cells respond to genetic perturbations. The core of the project will involve not only predicting these responses but also delving into under hood using model interpretability techniques. Here, the overarching goal is to uncover biologically relevant biomarkers that explain why certain perturbations have profound effects in specific contexts, thereby guiding future target discovery. Over a 3- or 6-month period (6-preferred, but >3- is workable), the intern will gain hands-on experience with large-scale genomic data analysis, and cutting-edge machine learning methods in oncology. Program Highlights * Intensive 6-month, full-time (40 hours per week) paid internship. * Program start dates are in May/June 2025. * A stipend 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 must be pursuing a PhD (enrolled student) Required Majors Computational Biology, Bioinformatics, Statistics, Computer Science, or related fields. Required Skills * Strong proficiency in coding with Python. * Deep knowledge of traditional machine learning, statistical principles, regression analysis. * Experience with transformer-based foundation models and/or modern AI frameworks; eg. PyTorch * Previous experience working with genomic data, especially single-cell data, is highly desirable. Preferred Knowledge, Skills, and Qualifications * Good understanding of cancer biology, oncogenic mechanisms & signaling pathways. * 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.

2026 Summer Intern - Computational Biology and Medicine - Immunology 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 Immunology and CVRM team within the CS-CoE Computational Biology and Medicine department is seeking a highly motivated Summer Intern with a strong background in computational biology, deep experience with single-cell RNA-seq and ATAC-seq data, as well as deep understanding of gene regulatory networks and inference methods. This internship position is located in South San Francisco, on-site. The Opportunity This internship focuses on the analysis of state-of-the-art single-cell multiome (RNA + ATAC) data derived from IBD patient biopsies. The project offers a high-resolution view of transcriptional regulation in disease-relevant immune and epithelial cells. The primary objective is to process multi-modal data and apply advanced inference methods to reconstruct the gene regulatory networks driving inflammatory disease. * Data Integration & Atlas Management: Execute end-to-end processing, including QC, normalization, and cell-type annotation, of RNA + ATAC datasets. This includes integrating new data into the existing IBD single-cell atlas to enable joint visualization and cohort-wide exploration. * Regulatory Network Inference: Apply GRN inference frameworks to infer enhancer-driven gene regulatory modules across key cell types. This involves generating comprehensive maps and visualizations of the transcription factor (TF) networks that distinguish inflammatory from resolving disease states. * Biological Interpretation & Model Validation: Relate inferred regulatory networks to known IBD pathways and GWAS loci. This includes translating inferred regulatory networks into actionable biological insights and delivering a refined set of enhancer-gene interactions and a report on their relevance to IBD pathology. Program Highlights * Intensive 12-week, full-time (40 hours per week) paid internship. * Program start dates are in May /June 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) Required Education: * Must be pursuing a PhD (enrolled student). Required Majors: Computational Biology, Bioinformatics, Biomedical Engineering, Computer Sciences, or a related field. Required Skills: * Proficiency in R or Python, and single-cell analysis frameworks. * Strong understanding of transcriptional regulation and gene regulatory networks (GRN). * Strong experience with GRN inference methods. * Ability to translate complex analyses to interpretable biological insights is critical for success in this role. * Experience working with Git for version control and utilizing High-Performance Computing (HPC) resources. * Excellent communication, collaboration, and interpersonal skills. * Detail-oriented, goal-driven, and dedicated to delivering high-quality results. Preferred Knowledge, Skills, and Qualifications * Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion. * Knowledge of autoimmune diseases, such as Inflammatory Bowel Disease, is highly desirable. 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.

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 Computational Discovery Chemistry Intern will join Arrowhead Pharmaceuticals' Discovery Research organization and play an active role in contributing to the expansion of data infrastructure and computational tools within the Computational Chemistry Core. This this role will focus on database development, data analysis, and coding of new tools that support in-silico drug design and AI/ML-driven discovery efforts. The intern will work under the guidance of senior scientists and computational leaders, gaining exposure to applied data science, bioinformatics, and machine learning within a pharmaceutical research environment. This is an 11-week Summer Internship Program paying $21.00 per hour and requires full-time, onsite work five days per week at the designated location. Responsibilities Expand and maintain databases supporting computational chemistry and discovery research initiatives. Program new tools for automated data extraction to support both new and existing databases. Develop tools for quality control (QC) analysis of biological efficacy data and apply them to collected datasets. Create tools for streamlined processing of in-silico-generated data. Contribute to ongoing discovery efforts, including: Development of generative AI / machine learning models for physicochemical and structural prediction of drug molecules. Development of models integrating biological, bioinformatic, and in-silico calculated data. Assist with data analysis, visualization, and interpretation to support applied drug discovery efforts. Collaborate with computational chemists, data scientists, and discovery stakeholders. Present project updates in weekly group meetings. Prepare final deliverables, including a scientific poster and a ~20-minute presentation summarizing project objectives, results, and learning. Requirements: Currently enrolled in a bachelor's degree program at an accredited university or college and majoring in computer science or a related field. Basic command-line experience (Bash/Shell) in Unix and/or Linux environments. Experience coding in Python (preferred), or demonstrated proficiency in Julia, JavaScript/TypeScript, or R. Experience with relational databases and query languages such as SQL. Excellent verbal and written communication skills, including comfort presenting in group settings. Strong problem-solving and organizational skills. Proficiency in Microsoft Office applications. Ability to lift up to 40 lbs. Willingness and ability to spend 25% of the workday walking the facility and 75% at a desk. Preferred: Exposure to applied bioinformatics, including HTC/HPC environments and/or HT-seq analysis. Interest in AI/ML applications within drug discovery and computational chemistry. Strong curiosity, initiative, and eagerness to build scalable tools in a scientific research setting. Wisconsin pay range $9,240-$9,240 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

The Applied Viral Sciences team is seeking a highly motivated, detail-oriented intern to help create stable cell lines for the recombinant adeno-associated viral vector (rAAV) production processes . He/she executes experiments, produces relevant documentation, and works under supervision. This is a unique opportunity to build key strategic capabilities, as PTCG prepares to mature its gene therapy platform and support a growing pipeline. This project will give the candidate the chance to learn AAV biology and collaborate with internal technical development teams to evaluate lead conditions. In addition to performing screening studies, the candidate will perform mammalian cell culture maintenance, preparation of reagents, and timely documentation of research results in lab notebooks. This internship position is located in Philadelphia, on-site. The Opportunity Gain extensive experience in mammalian cell culture for viral vector production across multiple scales, ranging from deep-well plates and spin tubes to shake flasks and automated platforms. Work alongside Subject Matter Experts (SMEs) to design and implement cell culture experiments in the development, optimization and scale-up of AAV producer cell lines. Develop critical industry skills in data presentation by preparing process development protocols, data analysis summaries, and technical reports. Contribute directly to the advancement of gene therapy manufacturing processes, gaining a comprehensive understanding of how stable cell lines impact the quality and yield of viral vectors for patient therapies. Program Highlights Intensive 6 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. Who You Are (Required) Required Education: You meet one of the following criteria: 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). Required Majors: Biotechnology, molecular biology, bioengineering, biochemistry, or other related life science areas. Required Skills: Self-motivated to learn and innovate. Strong conceptual knowledge of cell and molecular biology. Exceptional organizational skills with a focus on detailed documentation Shows potential to learn complex automation technologies for molecular screening. Comfortable working in a collaborative, fast-paced environment. 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. Demonstrated interest in biotechnology and gene therapy industry. Ideally brings hands-on experience in mammalian cell culture and aseptic technique (highly preferred). Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of Pennsylvania is $23.00-$35.00 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.