TAKEDA PHARMACEUTICALS ML/AI DIGITAL PATHOLOGY IMAGING SUMMER 2026 INTERNSHIP
Takeda has been translating science into breakthrough medicines for 240 years. Every step of the way, our teams have worked together to tackle some of the most challenging problems in drug discovery and development. Today, we’re a driving force behind innovative therapies that make a lasting difference to millions of patients around the world.
In R&D, all of our history and potential comes together in an environment that welcomes diversity of thought and amplifies every voice. Working closely with colleagues, you’ll play a key role in bringing our rich pipeline of products forward to help patients. Come join a team that’s earned trust for more than two centuries, and find out how advancing transformative therapies at Takeda will shape your bright future.
Job Description:
The Precision & Translational Medicine (PTM) team, part of Oncology Therapeutic Area (OTAU), is on a mission to deliver transformational cures to patients through innovative translational research and development. By translating scientific innovation into the clinic, we aim to de-risk and expedite pre-clinical and clinical development, ensuring the right medicines reach the right patients at the right time. The PTM Strategic Innovations (PSI) team drives advancements in clinical-decision making by integrating cutting-edge technologies into clinical workflows. PSI’s initiatives are grounded in rigorous scientific evaluation and pilot validation, ensuring that innovations are tested in real-world settings and aligned with organizational goals.
Digital pathology is transforming oncology drug development by enabling high-resolution, AI-powered analysis of histology images. At Takeda, our Digital Pathology Accelerator (DPA) team is pioneering efforts to extract spatial and cellular insights from H&E and IHC slides using advanced machine learning models. These models help quantify immune cell populations, automate stain scoring, and correlate tissue features with patient response data. This internship will explore the development and validation of AI/ML models for digital pathology applications and their expanded use in clinical pipelines.
How You Will Contribute:
As an ML/AI Digital Pathology Imaging Intern, you will have the opportunity to…
- Collaborate with our internal and external teams to interpret machine learning model outputs related to disease patterns in clinical pathology images
- Contribute to the development of innovative quantitative biomarkers related to the tumor microenvironment to help predict patient response to potential immunotherapies
- Analyze and interpret complex data sets to extract actionable insights that will inform strategic decisions, and effectively communicate these findings to the team and stakeholders.
- Assist in the design and execution of experiments to validate and optimize machine learning models, ensuring their efficacy and reliability in the field of digital pathology
- Develop multi-modal ML models using digital pathology foundational model embeddings and related, orthogonal data
- Evaluate new technologies (e.g. virtual staining) for their feasibility and impact on drug development pipelines
Job Requirements:
- This position will be Hybrid out of the Cambridge, MA location
- Must be pursuing a Doctoral Degree in Computer Science, Bioinformatics, Pathology, or a related field
- A strong foundation in biology, chemistry, biochemistry, histology,immunology, or a related scientific field
- Demonstrated experience or coursework in machine learning, and data analysis, and/or image analysis (traditional or ML-based techniques)
- Knowledge and interest in pathology and its application in the healthcare industry
- Exceptional communication and teamwork abilities
- Excellent quantitative, analytical, and problem-solving skills
- Graduate, PhD, MD student with completion of a minimum of one year of university studies
Internship Eligibility:
- Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship
- Must be currently enrolled in a degree program graduating December 2026 or later
- The internship program is 10-12 weeks depending on the two start dates (May 26th-August 14th or June 15th- August 21st)
- The intern must be able to commit to one of these time frames
- Able to work full time 40 hours a week during internship dates
- Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program
Program Highlights:
- Hands-on experience with real projects and responsibilities
- Dedicated mentorship program pairing interns with experienced professionals
- Networking opportunities with industry professionals and fellow interns
- Internship events focused on professional and skills development
- Exposure to multiple business areas or departments within a Pharmaceutical Organization
DEADLINE TO APPLY IS SUNDAY, NOVEMBER 16
APPLY HERE
If you have further questions about this internship opportunity, please contact Melinda Chen at melinda.chen [at] takeda.com (melinda[dot]chen[at]takeda[dot]com).
MIT VOLUNTEER CONSULTING GROUP WINTER 2026 ENGAGEMENT
Join us for our 7-week MIT VCG Winter 2026 engagement beginning in early January. Collaborate with a digital tech startup focused on chronic and autoimmune diseases to develop strategic insights for go-to-market strategy!
The Winter 2026 engagement will focus on helping our client with go-to-market model evaluation, customer segment alignment, phased rollout plan, and messaging guidance. Consultants chosen to participate in the engagement will work together to conduct research and present recommendations to the leadership team of our client, over a period of 7 weeks.
Winter 2026 Engagement: January 5th to February 26th, 2026
Application Due: Friday, November 14, 2025 at 11:45 PM ET. Applications will be accepted on a rolling basis.
Interview Dates: Monday, November 17 to Wednesday, November 26, 2025
APPLY HERE
FAQs:
I have no consulting experience. Can I still participate?
Some experience in consulting case practice is preferred, but not necessary as long as you can demonstrate your interest and willingness to commit to VCG. You will be mentored throughout the 6-week project by a project leader with more experience.
I am not an MIT student. Can I apply?
Absolutely! The program is open to graduate students (PhDs, MDs, MD/PhDs, JDs) and postdocs in the Boston area.
What is the time commitment for this project?
We expect the engagement to be a priority during your time in VCG. A minimum of 15-20 hours per week is expected, but be prepared to contribute more to produce a high-quality project that you can be proud of. Each week you will be required to participate in three meetings: two internal team meetings and one external client meeting.
I will not be available for some period of the 7 weeks. Does that matter?
Preferably you will be available for the duration of the project, but if you will be unavailable for a couple of days, we will consider this on a case-by-case basis. Further, as we will have a few in-person meetings with the client during the engagement, volunteer consultants may need to be able to attend these meetings in the Boston/Cambridge area this summer.
What is the final deliverable?
In the final client meeting, you will present your final recommendation slide deck to senior leadership at the company.
If you have additional questions, please contact mitvolunteerconsulting [at] gmail.com.
POSTDOCTORAL POSITION IN MECHANISTIC AND MACHINE LEARNING MODELING OF HUMAN DISEASE PROCESSES WITH CLINICAL LABORATORY AND MEDICAL RECORD DATA - HIGGINS LAB AT MGH AND HMS
A post-graduate research position is available in the laboratory of John Higgins, MD, located in the Massachusetts General Hospital Center for Systems Biology and Department of Pathology and the Harvard Medical School Department of Systems Biology.
Qualified applicants will have extensive knowledge of and interest in human pathophysiology and mathematical modeling including dynamical systems, machine learning, statistical inference, computational methods, and good software engineering practices.
For example, strong candidates would be able to compare and contrast the following: hemostasis and thrombosis, ODE and PDE, lymphocyte and myelocyte, transformer and convolutional block.
The following skills and experience are required:
- Experience simulating PDEs and working with neural networks in MATLAB or Python.
- Knowledge of human physiology and pathology such as hematologic function, immunology, inflammatory responses, and pregnancy.
- Experience deriving mathematical models from biological data.
- Ability to work independently and mentor more junior group members.
Applicants should have a Ph.D. and/or M.D. degree or be in their final year of their doctoral studies, and have at least a strong undergraduate background in math, computer science, or engineering.
Interested individuals should provide a CV and a cover letter describing past research experience, future research interests, career goals, and contact information for three references.
Interested applicants can contact John Higgins (higgins.john [at] mgh.harvard.edu).
PHD AND POSTDOCTORAL POSITIONS IN HOST-MICROBIOME RESEARCH - ZOMORRODI LAB AT MGH AND HMS
The Zomorrodi Lab at Massachusetts General Hospital (MGH) and Harvard Medical School is seeking highly motivated PhD and Postdoctoral candidates excited about studying host-microbiome interactions in chronic human diseases.
About us:
Our lab integrates innovative computational and experimental approaches to investigate the intricate interactions between the human host and microbiome, with a focus on metabolism and nutrition. We develop Genome-Scale Models (GEMs) of metabolism, build machine learning (ML) tools, and leverage 3D gut organoid models to understand the mechanisms by which microbiomes contribute to disease progression and therapeutic response. We also explore the applications of Natural Language Processing (NLP) and
Large Language Models (LLMs) in medicine and biomedicine. The overarching goal of our research is to advance precision medicine by uncovering mechanisms driving chronic disease pathogenesis and harnessing AI to streamline clinical decision-making and improve patient care.
For more information about our lab, please our website.
Open positions:
PhD position in computational systems biology: A PhD candidate will focus on computational analysis of host-microbiome metabolic crosstalk in Celiac Disease (CeD) using genome-scale models. This role involves large-scale computational modeling of microbiomes and host intestinal epithelial and immune cells, multi-omics data integration, and downstream statistical and ML analysis for biomarker discovery.
Required qualifications: (i) Must be admitted to a relevant PhD program at Harvard or another Boston-area university (MIT, Boston University, etc.), (ii) Undergraduate or master’s degree in a quantitative field (e.g., Computational Biology, Computer/Data Science, Bioinformatics, Biostatistics, Chemical/Biomedical/Biological/Electrical Engineering) OR
strong programming skills with a solid background in computational analysis.
Postdoctoral Position in experimental microbiome research: The postdoctoral researcher will investigate host-microbiome interactions in Celiac Disease (CeD) using patient-derived 3D gut organoid models and microbial isolates. This position involves: working with human cell lines, patient-derived tissues, and microbial cultures, investigating interactions between intestinal epithelial cells, immune cells, and gut microbes, and employing next-generation sequencing (NGS) and multi-omics approaches. The postdoc will collaborate closely with co-investigators on the project.
Required qualifications: (i) PhD in a relevant field (e.g., Cell Biology, Microbiology, Immunology, Biomedical Sciences, Bioengineering, Biochemistry) with a strong publication record, (ii) Experience with human cell culture, microbial culture, or next-generation sequencing (NGS) techniques (preferred but not strictly required), (iii) Ability to quickly learn new experimental techniques, (iv) Strong verbal and written communication skills, (v) Ability to work both independently and collaboratively in a fast-paced, dynamic research environment and a rapidly evolving field.
Application process: Interested candidates should contact Dr. Zomorrodi at azomorrodi [at] mgh.harvard.edu (azomorrodi[at]mgh[dot]harvard[dot]edu), providing a CV and a brief description of their interests. Use “PhD [or Postdoc, whichever is relevant] position in the Zomorrodi Lab” as the email subject. Applications are reviewed until the positions are filled. Shortlisted candidates will be contacted for an interview.
Research environment:
Massachusetts General Hospital (MGH) is a teaching hospital for Harvard Medical School and consistently ranks among the top hospitals in the U.S. Our lab is based in Boston, Massachusetts, in close proximity to world-class institutions, including MIT, The Broad Institute, Brigham and Women’s Hospital, Boston Children’s Hospital, Dana-Farber Cancer Institute, Beth Israel Deaconess Medical Center, and the Harvard T.H. Chan School of
Public Health. This dynamic research environment fosters strong collaborations, intellectual exchange, and access to cutting-edge technologies.
The Zomorrodi Lab is committed to diversity and equality and encourages applications from underrepresented minorities.
RESEARCH POSITION OPENINGS - DUPONT LAB AT BOSTON CHILDREN'S HOSPITAL
We are seeking highly motivated researchers for the following projects:
Robotic Cardiac Catheters
We are developing robotic catheters for heart valve repair and for treatment of arrythmias. Robotics offers the advantage of reducing the learning curve for complex beating-heart procedures and, ultimately, provides a platform for introducing automation. Important components of these projects can include: (1) user-based and autonomous control, (2) integration of therapeutic devices, and (3) testing in anatomical and animal models. Experience in robotics, control and prototyping is preferred.
Transcatheter Heart Valve Repair and Replacement Devices
Transcatheter procedures avoid the trauma and risks of open-heart surgery by delivering devices that are intended to replicate surgical repair and replacement. We are creating novel devices and tools for both valve repair and replacement. These projects require innovative design and creative problem-solving skills along with expertise in prototyping and experimental evaluation.
Cutting tools for Transcatheter Valve Modification
While current transcatheter valve interventions deploy devices that push, pull and approximate tissue to restore valve function, a complete surgical repair often involves cutting and removing valve tissue. As a first step toward providing this capability, this project involves developing catheter-delivered energy-based cutting tools for valve repair and replacement.
Qualified applicants should respond by email to Professor Pierre Dupont
(Pierre.Dupont [at] childrens.harvard.edu) with a description of their qualifications, academic background and availability.
More information on our lab can be found on our website.
RAND'S TECHNOLOGY AND SECURITY POLICY CENTER
Interested in working on Technology and Security Policy?
Technology and Security Policy Fellowship
The RAND Technology and Security Policy Fellowship develops new generations of policy analysts and implementors at the intersection of technology and security issues. Fellows perform in-depth, independent research relating to one or more of the research areas of the Technology and Security Policy Center. Fellows receive mentorship from RAND policy experts for their independent research. Additionally, fellows may work on RAND client-sponsored research, up to an average of one day per week.
Candidates are welcome from all experience levels, from undergraduate students to mid-career professionals. Fellowship durations will typically start at one year with the possibility of up to two additional years. Fellowships can be full- or part-time. Fellows must be based in the United States or United Kingdom, working remotely or at one of RAND's U.S. or U.K. offices.
Current students and recent graduates are welcome to apply. Selection decisions are made on a rolling basis, with applicants being notified at least once per quarter.
To learn more about the TASP fellowship program email: TASP_fellowship_inquiries [at] rand.org (TASP_fellowship_inquiries[at]rand[dot]org)
POSTDOC POSITION OPENING IN CAPASSO LAB - HARVARD SEAS
The Capasso group at Harvard SEAS has an opening for postdoctoral position related to biophotonics+metasurface/biosensing research. The postdoc will make contributions towards building a metalens optical system to image bacteria, including integration with small-pixel sensors, potentially an easy-to-use manual focus system, an integrated light source, and an image capture and transfer system.The candidate will join the group of Prof. Federico Capasso and collaborate with a team at the Harvard Medical School, led by Prof. Johan Paulsson, focused on bacterial detection identification (ID) and antibiotic susceptibility testing (AST), leveraging on this optical system, including interfacing with a microfluidic system.
In addition to the basic instrument, the postdoc will develop more advanced metalens imaging modalities for bacteria, with the purpose of making the AST not only faster and more robust, but also potentially achieving some basic level of species ID. This will include the development of a compact form of quantitative phase microscopy by encoding polarization-dependent optical functions onto a single metasurface to perform full-Stokes image polarimetry.
Proficiency in laboratory optics and photonics with particular emphasis on imaging systems such as microscopy is preferred. Previous experience in nanophotonics and clean room fabrication would be beneficial but is not strictly required. History of work in polarization and optical polarimetry desirable. Interviews are currently on-going for this position: https://academicpositions.harvard.edu/postings/14008
NIH HEAL PAIN COHORT PROGRAM: NOW RECRUITING POST-DOCTORAL TRAINEES
The National Institutes of Health (NIH) is excited to announce the launch of a new post-doctoral training program called the HEAL Initiative Partnerships to Advance INterdisciplinary (PAIN) Training Program in Clinical Pain Research. The HEAL PAIN Cohort Program, via the T90/R90 mechanism, provides interdisciplinary training to postdoctoral scholars pursuing careers in pain and addiction research. By integrating a broad range of scientific disciplines and fostering a collaborative research environment, the program equips trainees with the skills needed to advance pain science, develop innovative treatments, and translate research findings into clinical practice. This program will emphasize mentorship, career development, and hands-on research experience. The program will help ensure postdoctoral trainees are well-prepared to contribute to the HEAL Initiative's mission of improving pain management.
The Positively Uniting Researchers of Pain to Opine, Synthesize, and Engage (PURPOSE) network will help facilitate a national cohort experience among the postdoctoral trainees at the funded T90/R90 centers, as well as organize an annual meeting that all trainees will be required to attend. Learn more and join the PURPOSE network at https://painresearchers.com/.
For more information and to apply, please reach out to the center(s) of interest directly below. If you are interested in multiple centers, you may email PainCohortPrograms [at] painresearchers.com (PainCohortPrograms[at]painresearchers[dot]com) and your information will be forwarded to all centers.
The University of Utah Program to Provide Pain Research Knowledge (UP3RK) mission is to impart the science knowledge, skills, and core competencies needed by post-graduate, interdisciplinary Scholars to address the nation’s scientific needs in clinical pain research. UP3RK trains Scholars through mentorship, interdisciplinary research skill development and concentrated training in our four focus areas (nonpharmacologic pain treatments, effective interventions for pain and substance use disorders; implementation science, research within vulnerable, diverse, and underserved populations). We train UP3RK Scholars within an innovative, multi-level mentor model to prepare clinical pain investigators for successful, independent, research careers.
Contact PI: Dr. Julie Fritz, julie.fritz [at] hsc.utah.edu (julie[dot]fritz[at]hsc[dot]utah[dot]edu)
The MGB IMPACT (Interdisciplinary Mentorship Program Advising Clinical Trainees) Program in Clinical Pain Research is based in Boston. The program offers training to postdoctoral fellows, with the long-term goal of expanding the number, diversity, and collaborative network of clinical pain researchers, advancing our understanding of pain and our ability to effectively manage pain without opioid medications. MGB IMPACT focuses on team science, providing interdisciplinary mentorship and training in clinical pain research by bringing together a diverse group of mentors from an array of backgrounds, including Psychology, Neurology, Neuroscience, Psychiatry, Women's Health, Epidemiology and others. MGB IMPACT operates collaboratively with other T90/R90 programs around the country to promote innovative solutions for pain management and improve patient care by providing high-quality training to future leaders in clinical pain research.
Contact PI: Dr. Robert Edwards, rredwards [at] partners.org (rredwards[at]partners[dot]org)
The Stanford PAIN cohort is dedicated to interdisciplinary research training in maternal and childhood pain and bioinformatics. We will train participants from across the national cohort in pediatric and maternal health and pain, equipping a new generation of clinical pain researchers to apply a lifespan lens to identify primary and secondary prevention strategies to address the pain epidemic. Core faculty research leaders will help match trainees to mentors within the Stanford PAIN cohort content areas of: (1) bioinformatics, (2) pain across the lifespan, specifically child and maternal pain, (3) nonpharmacological (behavioral) interventions for pain, (4) prevention of the transition from acute to chronic pain and (5) advancing health equity in the field of pain.
Contact PI: Dr. Laura Simons, lesimons [at] stanford.edu (lesimons[at]stanford[dot]edu)
The University of Michigan Pain T90/R90 program is looking for postdoctoral scholars interested in a career in pain science. We have a broad range of mentors that can help guide scholars in nearly any type of clinical or translational pain science. A focus of this program will be the career development of the scholars, who generally will be expected to write a NIH career development award (K award) during this postdoc.
Contact PI: Dr. Daniel Clauw, dclauw [at] med.umich.edu (dclauw[at]med[dot]umich[dot]edu)
The University of Florida Partnerships Across Interdisciplinary Networks: Training through Engineering, Epidemiology & Addiction Medicine or UF PAIN TEAM is located in Gainesville, North Central Florida. The program offers postdoctoral training to fellows interested in pursuing clinical pain research within collaborative interdisciplinary teams across the UF Pain Research & Intervention Center of Excellence (PRICE). During the first year of the program, fellows will identify and partner with other fellow(s) in the program and along with mentors will develop a team science project extending their individual research projects. Our long-term goal is to increase the number of pain researchers able to perform complex team science research, advancing our understanding of pain and therapeutic options. Our mentors span interdisciplinary backgrounds including Neuroscience, Engineering, Psychology, Epidemiology, Addiction Medicine, Physical Medicine & Rehabilitation, Physical Therapy, Anesthesiology, and others. The UF PAIN TEAM will also work collaboratively with other T90/R90 programs around the country to increase our future clinical pain workforce and their ability to work within large interdisciplinary teams.
Contact PI: Dr. Yenisel Cruz-Almeida, cryeni [at] ufl.edu (cryeni[at]ufl[dot]edu)
At Washington University in St. Louis we have developed a new postdoctoral training program: the Promoting Excellence through Pain and Addiction Research Enhancement (PREPARE) T90/R90 Training Program. A defining feature of the PREPARE Program will be an emphasis on social determinants of health (SDOH) as they relate to chronic pain and substance use disorders clinical research. SDOH define the conditions in which people are born, grow, live, work, and age, and the inequities in power, money, and resources that are often responsible for disparities in pain and substance use outcomes across the U.S. Our overall goal is to develop outstanding independent investigators capable of sustaining productive clinical research careers addressing the biopsychosocial (emphasis on social) mechanisms underlying chronic pain and substance use disorder development, and/or designing clinical interventions to relieve pain and ameliorate substance use.
Contact PI: Dr. Burel Goodin, burel [at] wustl.edu (burel[at]wustl[dot]edu)
TRAINING OPPORTUNITIES AT THE NATIONAL INSTITUTES OF HEALTH (NIH)
The National Institutes of Health’s Office of Clinical Research Training and Medical Education offers an extensive range of clinical research training opportunities to prepare the next generation of clinician-scientists. Brief descriptions of the programs are provided below. As world’s largest biomedical research agency, the NIH encourages future clinician-scientists and medical researchers to consider adding an NIH experience to their portfolio.
Graduate Medical Education
NIH currently sponsor 17 medical specialty or subspecialty programs which have been accredited by the Accreditation Council for Graduate Medical Education (ACGME). We also jointly sponsor clinical training programs with extramural training partners, to include Johns Hopkins, University of Maryland, and the National Capital Consortium. In addition, we sponsor numerous "one of kind" translational medicine fellowship training programs. https://cc.nih.gov/training/gme/programs1.html
Clinical Elective Programs
Short term—4 to 12 week—clinically oriented elective rotations for senior medical and dental students; unique mentored specialty/subspecialty clinical research rotations are also available for combined program students (i.e., MD/PhD, DO/PhD). https://cc.nih.gov/training/students/clinical_electives.html
Postdoctoral Research Training Awards
Provides the opportunity for recent doctoral degree recipients to enhance their research skills in the resource-rich National Institutes of Health (NIH) environment, which consists of more than 1200 laboratories/research projects. https://www.training.nih.gov/programs/postdoc_irp
Graduate Partnerships Program
This program is designed to bring PhD graduate students to the NIH Intramural Research Program for dissertation research. https://www.training.nih.gov/programs/gpp
IIE EU - U.S. EDUCATION COOPERATION FOR RESEARCHERS
For information on EU – U.S. cooperation in doctoral and postdoctoral education opportunities for U.S. researchers and organizations. Visit IIE online at www.iie.org. Please contact the programs directly for additional information or with any questions you may have.
A quote from a recent Fulbright U.S. student, "My advice to Fulbrighters of the future is that which was given to me. Go at it with an open mind; your experience will not be anything like you predicted and will mark you indelibly, but it will be great."