Program Development Internship jobs at Guardian Life

Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding. Provides professional care to all patients needing their services by producing high-quality Radiographs (chest, upper and lower extremities, Spine, AP/PA, Lateral and lateral flexion/extension, AP/Lateral Shoulder, AP Clavicle, AP Scapula, AP/PA Pelvis, Skull/Sinus AP/PA, Lateral, Townes, Caldwell, & Waters) under the direction of a Radiologist and Radiology Technologist. Maintains steady flow, to facilitate efficient workflow. Assist radiology technologists during portable exams and fluoroscopy procedures. Performs clerical duties including answering the phone and entering information into the computer. Transports patients to and from the imaging suite. Continuous light housekeeping duties, stock supplies, and linen. Responsibilities: Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders. Performs a variety of diagnostic procedures, some of a more complex nature, utilizing state-of-the-art computerized imaging equipment in more than one (1) modality. Requires flexibility to work competently within assigned modalities as needed or assigned. Interacts appropriately with patients and all care providers by coordinating and prioritizing procedures during the workday to maintain a high level of patient care and continuity. Possesses the ability and willingness to rotate within departments and clinics for proper coverage as needed or assigned. Upon completion of procedures, program the computer to ensure completion of the exam and that all scan data is correctly stored in PACS. Ensures exam rooms are neat, clean, and adequately stocked before exams are performed and acts to ensure compliance with Infection Control standards. Coordinates and prioritizes procedures during the workday to maintain a high level of patient care and continuity. Ensures all charges are correctly coded and entered in the billing system. Performs all duties in a manner that protects the confidentiality of patients and does not solicit or disclose any confidential information unless necessary in the performance of assigned job duties. Ability to communicate effectively, both verbally and in writing. Excellent customer service skills required. Adapt assigned patient assessment, treatment, and/or care methods to accommodate the unique physical, psychosocial, cultural, spiritual, age-specific, and other developmental needs of each patient served. Ensures compliance with all policies, procedures, and standards as outlined by State and Federal agencies, the hospital, and other regulatory entities. Demonstrates adherence to the Core values of CHRISTUS Health. xevrcyc Performs other duties as assigned. Job Requirements: Education/Skills Current enrollment in an accredited school of Radiology Technology is required Experience Previous hospital experience preferred Basic computer experience required Licenses, Registrations, or Certifications Non-Certified Radiology Technician (NCT) by Texas Medical Board (TMB) required BLS Certification is required Work Schedule: PRN Work Type: Per Diem As Needed

On the GA Coast 15 miles to Savannah/Hilton Head International Airport (SAV) 25 minutes to Tybee Island 45 minutes to Hilton Head 2 hours to Charleston 7 on/7 off schedule covering one hospital. 24-hour Tele-stroke support. Physician focused administration Fully electronic office and dedicated staff

Oregon's beautiful Rogue Valley Near Rogue Valley International Airport (MFR) 25 miles north of the California border 75 miles from the Pacific Ocean 180 miles to Eugene 280 miles to Portland Details BE/BC Neurologist to join a team of 3 Neurologists and 2 APP s in a Hospital employed group. 3 Neurologists serving Southern Oregon and Northern California. Full time General Neurology position and mainly outpatient, with a small amount of inpatient responsibility Neurologists serving a catchment area of approximately 625,000 Coverage 1:6 - though rare EMR: EPIC Benefits: Compensation 400K plus incentives up to 40k Sign on - 30k Relocation Comprehensive benefits CME PTO MP Community: Nestled between the Cascade and Siskiyou mountains, the area is known for its temperate climate. Southern Oregon is a wonderful place to live, especially if you love the outdoors. Year-around recreational activities, family-friendly communities and an option to enjoy a well-balanced life. The region is home to the Oregon Shakespeare Festival, Britt Music and Arts Festival, Southern Oregon University, Crater Lake National Park, the Rogue River and awarded wineries and vineyards. Drive to the spectacular Oregon coast in two hours or fly to San Francisco or Portland in 50 minutes. Rogue Valley International Airport is centrally located and easily accessible from most airports. Reference: 1163

Cardiology in FL 10 miles to Sarasota/Bradenton International Airport (SRQ) 10 miles to downtown Sarasota 30 miles to Saint Petersburg 50 miles to downtown Tampa Internal Medicine Residency here Fellowship trained; board eligible or board certified in interventional cardiology Interest in peripheral or complex high-risk PCI Interventional cardiology or non-invasive cardiology accepted Structural experience a plus Exceptional communication skills and collegial disposition Open to supporting several facilities New Grads encouraged to apply

Skill Sprout provides In-Home ABA services throughout the state of Illinois, Indiana and Texas as well as clinic-based services. Job Description The Computer Programmer Intern's role is to assist and support staff by implementing, maintaining, and creating different programs or systems that assist in streamlining or up-keeping communication, efficiency, and productivity. This position reports directly to the Director of Operations Responsibilities include: • Work with current programmers to develop Skill Sprout server infrastructure. • Write, update, and maintain Skill Sprout computer program to handle specific jobs. • Perform revision of existing program to increase operating efficiency or adapt to new requirements. • Support social media marketing and website design departments. • Work with HTML, CSS, SQL, and PHP languages. Qualifications • Must be working towards Bachelors of Science in Computer Science or Computer Information Systems. Additional Information

We are seeking a highly motivated student to join the BioAnalytical Sciences (BAS) department within Development Sciences for a summer internship. The BioAnalytical Sciences Department at Genentech is a world-class bioanalytical center of excellence for novel strategies, technologies, and methods that enable the development of life-changing medicines. We do this by fostering an innovative and collaborative environment that values and recognizes diversity of contributions. The Cell Biology division focuses on investigating the mechanism of action of biotherapeutics through cell-based assays such as cellular internalization and processing, high content imaging, and real-time cell growth/survival monitoring. Your work will consist in the development of cell-based assays and will utilize cell culture, flow cytometry, and other immunology related methods. This internship position is located in South San Francisco, on-site. The Opportunity Project background: Chimeric antigen receptor T (CAR-T) cells are engineered T cells with promising potential to provide curative treatment for hematologic malignancies. However, due to the highly personalized manufacturing process and extremely high treatment cost, only ~20% of eligible patients currently have access to autologous CAR-T therapies. Allogeneic CAR-T cell products offer an “off-the-shelf” alternative that has the potential to improve treatment accessibility. However, most current allogeneic CAR-T therapies exhibit limited persistence in patients and therefore do not achieve the durable responses observed with autologous CAR-T cells. This reduced persistence is likely due to immunologic rejection of the allogeneic CAR-T cells by the host immune system. Therefore, understanding the mechanisms of host immune rejection is essential to guide the development of next-generation allogeneic CAR-T cell designs that can evade immune clearance and achieve durable persistence in patients. Key Responsibilities: We have established an in vitro assay to monitor the rejection or killing of CAR-T cells by host immune cells. To better understand the cellular drivers of allogeneic CAR-T cell rejection, we will further characterize this assay to determine the relative contributions of T cells and natural killer (NK) cells in mediating CAR-T cell clearance. We will want to: Determine whether T cell-depleted patient-derived PBMCs can still mediate CAR-T cell killing. Determine whether NK cell-depleted patient-derived PBMCs can still mediate CAR-T cell killing. Quantify the CAR-T cell killing activity of T cell- and NK cell-depleted PBMCs compared with undepleted PBMCs. 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. Final presentations of project work to senior leaders. Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions. Participate in volunteer projects, social events, and team-building activities. Who You Are (Required) Required Education You meet one of the following criteria: Must be pursuing a Bachelor's degree (enrolled student); completion of at least three years of coursework is preferred. Must be pursuing a Master's Degree (enrolled student). Must be pursuing a PhD (enrolled student). Required Majors: Immunology, Biology or Pharmacology related fields. 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. Immunology related skills. E.g: FACS, Immune cell isolations (PBMC, Tcells, Nkcells), cell-based assays, primary blood cell culturing, ELISPOT, Luminex, ELISA. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of California is $26.00-$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.

2026 Summer Intern - Bioanalytical Sciences We are seeking a highly motivated student to join the BioAnalytical Sciences (BAS) department within Development Sciences for a summer internship. The BioAnalytical Sciences Department at Genentech is a world-class bioanalytical center of excellence for novel strategies, technologies, and methods that enable the development of life-changing medicines. We do this by fostering an innovative and collaborative environment that values and recognizes diversity of contributions. The Cell Biology division focuses on investigating the mechanism of action of biotherapeutics through cell-based assays such as cellular internalization and processing, high content imaging, and real-time cell growth/survival monitoring. Your work will consist in the development of cell-based assays and will utilize cell culture, flow cytometry, and other immunology related methods. This internship position is located in South San Francisco, on-site. The Opportunity Project background: Chimeric antigen receptor T (CAR-T) cells are engineered T cells with promising potential to provide curative treatment for hematologic malignancies. However, due to the highly personalized manufacturing process and extremely high treatment cost, only ~20% of eligible patients currently have access to autologous CAR-T therapies. Allogeneic CAR-T cell products offer an "off-the-shelf" alternative that has the potential to improve treatment accessibility. However, most current allogeneic CAR-T therapies exhibit limited persistence in patients and therefore do not achieve the durable responses observed with autologous CAR-T cells. This reduced persistence is likely due to immunologic rejection of the allogeneic CAR-T cells by the host immune system. Therefore, understanding the mechanisms of host immune rejection is essential to guide the development of next-generation allogeneic CAR-T cell designs that can evade immune clearance and achieve durable persistence in patients. Key Responsibilities: We have established an in vitro assay to monitor the rejection or killing of CAR-T cells by host immune cells. To better understand the cellular drivers of allogeneic CAR-T cell rejection, we will further characterize this assay to determine the relative contributions of T cells and natural killer (NK) cells in mediating CAR-T cell clearance. We will want to: * Determine whether T cell-depleted patient-derived PBMCs can still mediate CAR-T cell killing. * Determine whether NK cell-depleted patient-derived PBMCs can still mediate CAR-T cell killing. * Quantify the CAR-T cell killing activity of T cell- and NK cell-depleted PBMCs compared with undepleted PBMCs. 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. * Final presentations of project work to senior leaders. * Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions. * Participate in volunteer projects, social events, and team-building activities. Who You Are (Required) Required Education You meet one of the following criteria: * Must be pursuing a Bachelor's degree (enrolled student); completion of at least three years of coursework is preferred. * Must be pursuing a Master's Degree (enrolled student). * Must be pursuing a PhD (enrolled student). Required Majors: Immunology, Biology or Pharmacology related fields. 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. * Immunology related skills. E.g: FACS, Immune cell isolations (PBMC, Tcells, Nkcells), cell-based assays, primary blood cell culturing, ELISPOT, Luminex, ELISA. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of California is $26.00-$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.

Our BioAnalytical Sciences Department is a world-class bioanalytical center of excellence for novel strategies, technologies, and methods that enable the development of life-changing medicines. We do this by fostering an innovative and collaborative environment that values and recognizes diversity of contributions. We are seeking a highly motivated intern to join our team for the summer of 2026. The successful candidate for this multidisciplinary laboratory-based position will work closely with our scientific team to evaluate the physiological relevance of primary dendritic cell (DC) models used for immunogenicity risk assessment and specifically their implementation in immunopeptidomics or MAPPs (MHC-associated peptide proteomics) assays. The intern will use advanced cell biology techniques, flow cytometry and high-resolution mass spectrometry to investigate how culture microenvironments influence antigen processing and presentation kinetics. This is a unique opportunity to apply deep immunological expertise to translational drug development questions. The internship position is full time and located in South San Francisco, on-site. The Opportunity Cell Model Characterization: Lead the culture, maintenance, and phenotypic characterization of primary human monocyte-derived dendritic cells (mo-DCs). Assay Execution: Perform immunopeptidomics/ MAPPs workflows to isolate and identify MHC-associated peptides from biological samples. Flow Cytometry: Design and execute multicolor flow cytometry panels to assess cell viability, maturation markers, and phenotype stability. Data Integration: Work with immunopeptidomics & proteomics differential expression datasets. Communication: Present research findings in periodic written reports and oral presentations to the wider department. 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. Opportunity to learn and implement immunopeptidomics methods on cutting-edge high-resolution LC/MS instruments (i.e. Orbitrap Astral). Gain a broader understanding of the role of in vitro models in the non-clinical immunogenicity risk assessment pipeline. Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions. Who You Are Required Education Must be pursuing a PhD (enrolled student). Required Majors: Immunology, Analytical Chemistry, Biochemistry or a related Biological discipline. Required Skills: Extensive hands-on experience with primary immune cell culture, specifically the isolation, generation and maintenance of monocyte-derived dendritic cells (mo-DCs). Demonstrated ability to be highly motivated and work independently. Preferred Knowledge, Skills & Qualifications Excellent communication, collaboration, and interpersonal skills. Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion. Proficiency in multicolor flow cytometry, including panel design, acquisition, and analysis (e.g., FlowJo). Theoretical understanding of proteomics/ immunopeptidomics sample preparation and immunoaffinity capture. Familiarity with differential expression analysis (i.e., volcano plots, pathway analysis). Familiarity with running analysis scripts using computational data science tools (i.e. ‘R', Python). Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of California is $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 - 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 * Research on efficient Tool Calling framework, like Tool-to-Agent Retrieval * Implement LLM Deep Research Agent Solution for searching industry information sources * Design and implement multi-agents solution with customized evaluations * Implement and Scale industry level MCPs * Orchestrate different workflows on processes, information sources, and more Program Highlights * Intensive 12-weeks , full-time (40 hours per week) paid internship. * Program start dates are in May/June * 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) or attain graduated degrees Master students with research experience are welcome to apply. Required Majors Computer Science, Data Science, Computation Biology or related STEM fields Required Skills * Proficiency in Python, experience with API designs, frontend development * Familiarity with one of OpenAI, Gemini, Claude APIs * Experience with Cloud Services like AWS * Strong problem-solving abilities and the ability to work independently and collaboratively. * Interest in contributing to cutting-edge scientific research. 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 AWS at least one AWS Service, EC2, Sagemaker, Bedrock, etc * Experience with RAG process 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 Center of Excellence - Scaling AI-Agentic Bioinformatics tools for Clinical Biomarker Omics Workflows 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 We are seeking a Master's level (or higher) graduate student to explore the cutting edge of AI-Agentic Bioinformatics. In this role, you will focus on translating standard bioinformatics command-line utilities into "MCP-servers". Standardized interfaces that allow AI Agents (via clients like Cursor or Claude) to orchestrate complex analysis workflows using natural language. You will move beyond traditional pipeline execution to build an intelligent tooling framework that allows scientists to "chat with their data," turning manual tool execution into scalable, agentic processes. Key Responsibilities: * Evaluate and Extend Bioinformatics Agentic Frameworks: Assess and extend Model Context Protocol (MCP) based frameworks for production readiness, modularity, and scalability within a clinical biomarker omics data environment. * Tool-to-Agent Translation: Develop domain-specific MCP servers that wrap standard omics tools (e.g., for RNA-seq preprocessing, proteomics quantification), effectively translating CLI inputs/outputs into AI-readable contexts. * Workflow Integration: Integrate these agentic servers with existing End-to-End (E2E) bioinformatics workflows/pipelines to ensure seamless execution in production. * Benchmarking AI Performance: Benchmark the performance, reliability, and code-generation quality of Large Language Models (LLMs) when orchestrating these bioinformatics tasks. * Strategic Recommendations: Propose recommendations for standardization, deployment, and scalability of agentic tools to democratize data analysis for scientific stakeholders. Program Highlights * Intensive 12-weeks, full-time (40 hours per week) paid internship. * Program start dates are on June 2nd (Summer) 2026. * 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. * Deliver final presentations of project work to senior leaders * Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions Who You Are Required Education Must be pursuing a Master's degree or higher (enrolled student). Required Majors Bioinformatics, Computational Biology, Computer Sciences, Artificial Intelligence, Data Engineering, Data Sciences, Machine Learning, Biomedical Engineering, or a related field. Required Skills: * Core Scientific Engineering: Strong proficiency in Python, Docker, and REST APIs. * Workflow Orchestration: Experience with modern workflow systems such as Nextflow, CWL, WDL, or Snakemake. * Bioinformatics Domain: Familiarity with processing omics data (e.g., RNA-seq, proteomics, genomics). * Infrastructure: Comfort working in Cloud (AWS) or HPC computing environments. Preferred Skills: * AI & Agents: Familiarity with Large Language Models (LLMs), LangChain, or agentic frameworks (specifically Model Context Protocol) is highly preferred. * Communication: A collaborative mindset and enthusiasm for bridging Machine Learning engineering and biology. * 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 Center of Excellence - Scaling AI-Agentic Bioinformatics tools for Clinical Biomarker Omics Workflows** 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** We are seeking a Master's level (or higher) graduate student to explore the cutting edge of AI-Agentic Bioinformatics. In this role, you will focus on translating standard bioinformatics command-line utilities into "MCP-servers". Standardized interfaces that allow AI Agents (via clients like Cursor or Claude) to orchestrate complex analysis workflows using natural language. You will move beyond traditional pipeline execution to build an intelligent tooling framework that allows scientists to "chat with their data," turning manual tool execution into scalable, agentic processes. **Key Responsibilities:** + **Evaluate and Extend Bioinformatics Agentic Frameworks** : Assess and extend Model Context Protocol (MCP) based frameworks for production readiness, modularity, and scalability within a clinical biomarker omics data environment. + **Tool-to-Agent Translation** : Develop domain-specific MCP servers that wrap standard omics tools (e.g., for RNA-seq preprocessing, proteomics quantification), effectively translating CLI inputs/outputs into AI-readable contexts. + **Workflow Integration:** Integrate these agentic servers with existing End-to-End (E2E) bioinformatics workflows/pipelines to ensure seamless execution in production. + **Benchmarking AI Performance** : Benchmark the performance, reliability, and code-generation quality of Large Language Models (LLMs) when orchestrating these bioinformatics tasks. + **Strategic Recommendations:** Propose recommendations for standardization, deployment, and scalability of agentic tools to democratize data analysis for scientific stakeholders. **Program Highlights** + **Intensive 12-weeks, full-time (40 hours per week) paid internship.** + **Program start dates are on June 2nd (Summer) 2026.** + **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. + Deliver final presentations of project work to senior leaders + Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions **Who You Are** **Required Education** Must be pursuing a Master's degree or higher (enrolled student). **Required Majors** Bioinformatics, Computational Biology, Computer Sciences, Artificial Intelligence, Data Engineering, Data Sciences, Machine Learning, Biomedical Engineering, or a related field. **Required Skills:** + Core Scientific Engineering: Strong proficiency in Python, Docker, and REST APIs. + Workflow Orchestration: Experience with modern workflow systems such as Nextflow, CWL, WDL, or Snakemake. + Bioinformatics Domain: Familiarity with processing omics data (e.g., RNA-seq, proteomics, genomics). + Infrastructure: Comfort working in Cloud (AWS) or HPC computing environments. **Preferred Skills:** + AI & Agents: Familiarity with Large Language Models (LLMs), LangChain, or agentic frameworks (specifically Model Context Protocol) is highly preferred. + Communication: A collaborative mindset and enthusiasm for bridging Machine Learning engineering and biology. + 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** + Research on efficient Tool Calling framework, like Tool-to-Agent Retrieval + Implement LLM Deep Research Agent Solution for searching industry information sources + Design and implement multi-agents solution with customized evaluations + Implement and Scale industry level MCPs + Orchestrate different workflows on processes, information sources, and more **Program Highlights** + **Intensive 12-weeks , full-time (40 hours per week) paid internship.** + **Program start dates are in May/June** + **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) or attain graduated degrees Master students with research experience are welcome to apply. **Required Majors** Computer Science, Data Science, Computation Biology or related STEM fields **Required Skills** + Proficiency in Python, experience with API designs, frontend development + Familiarity with one of OpenAI, Gemini, Claude APIs + Experience with Cloud Services like AWS + Strong problem-solving abilities and the ability to work independently and collaboratively. + Interest in contributing to cutting-edge scientific research. **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 AWS at least one AWS Service, EC2, Sagemaker, Bedrock, etc + Experience with RAG process **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 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 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.

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 Genentech. At Genentech Computational Sciences (gCS), Computational Catalysts, we are on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. We stand at the beginning of an exciting journey. The Computational Catalysts group within gCS is a diverse, curious and action-driven team at the intersection of computation, engineering and science with ambition to advance our technical excellence. The focus of the team is on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision making. We aim to modernize our ability to acquire, store, link, share, find and analyze data across the organization through scalable and integrated solutions that truly make every data point count. We are seeking an enthusiastic full-stack developer to join our dynamic team. The ideal candidate will have a background in web development using technologies such as React, Node.js, and Python; and be capable of implementing features as a part of a complex web application. You will be working closely with our product and design teams to deliver high-quality, scalable, and robust solutions.You will work closely with a diverse team of professionals, including scientists, to develop tools that support cutting-edge biological research at the boundary of artificial intelligence and sophisticated in-vitro models like organoids. This internship position is located in South San Francisco CA, on-site. The Opportunity ● Develop data pipelines using Python ● Develop and maintain web applications using React and/or Node.js ● Design SQL database schemas and queries for efficient data storage and retrieval ● Collaborate closely with a team of scientists to build tools that assist in ground-breaking biology research 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 Bachelor's Degree (enrolled student). Required Majors Computer Science, Information Systems, Design or a related field. Required Skills Experience with developing user-facing web applications and/or data pipelines Must have experience with Python and at least one of the following: React, Node.js, or SQL Familiarity with CLI tools such as git Passion for learning about scientific use cases, industry best practices, and new technologies 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 working on cloud-native architectures in public clouds (ideally AWS) ● Experience with biological data and processes is a strong plus ● Experience working with scientists or in a research environment is advantageous 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 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.

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 Research on efficient Tool Calling framework, like Tool-to-Agent Retrieval Implement LLM Deep Research Agent Solution for searching industry information sources Design and implement multi-agents solution with customized evaluations Implement and Scale industry level MCPs Orchestrate different workflows on processes, information sources, and more Program Highlights Intensive 12-weeks , full-time (40 hours per week) paid internship. Program start dates are in May/June 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) or attain graduated degrees Master students with research experience are welcome to apply. Required Majors Computer Science, Data Science, Computation Biology or related STEM fields Required Skills Proficiency in Python, experience with API designs, frontend development Familiarity with one of OpenAI, Gemini, Claude APIs Experience with Cloud Services like AWS Strong problem-solving abilities and the ability to work independently and collaboratively. Interest in contributing to cutting-edge scientific research. 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 AWS at least one AWS Service, EC2, Sagemaker, Bedrock, etc Experience with RAG process 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.

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.