April 07, 2023 - Volume 24, Number 29 | Harvard-MIT Health Sciences and Technology (2023)

AMERICAN CANCER SOCIETY BRIGHTEDGE JOB OPENINGS

Here are two new positions posted by ACS BrightEdge:

Full-time Summer MBA
https://recruiting.adp.com/srccsh/public/RTI.home?r=5000943617006&c=1178715&d=ACSExternalCareerSite
Venture Fellow – 6 month PT
https://recruiting.adp.com/srccsh/public/RTI.home?r=5000940244206&c=1178715&d=ACSExternalCareerSite

EXPONENT LIFE SCIENCES INFO SESSION

Tuesday,April 18, 2023

4-6pm
MIT E25-119/121(45 Carleton St., Cambridge, MA)
Light refreshments will be served

Registerto join us in person.

Exponent is a multi-disciplinary engineering and scientific consulting firm that brings together more than 90 different disciplinesandover 50 years of experienceto solve engineering, science, regulatory, and business issues facing our clients.

If you arean engineering or sciencePhD candidate with strong communication skills, are motivated to learn on the job, and have a desire to apply your education in unexpected and innovative ways, Exponent will be an exciting opportunity for you! At Exponent, we work on many of the most challenging and prominent engineering and scientific problems in the world.

Exponent invites you to learn more about how you can make a difference through engineering and scientific consultingin the life sciencesas part of our Biomechanics, Biomedical Engineering & Sciences, Data Sciences, or Health Sciencespractices.

Contacthalforque [at] exponent.com (Hannah Kaile Alforque)for more information.

WATERSHED INFORMATICS - BIOINFORMATICIAN POSITION

Data Science - Bioinformatics / Full Time - Cambridge, MA

Watershed Informatics enables the world’s scientists to turn today’s big data into tomorrow’s precision medicines. Specifically optimized for catalyzing the life sciences development pipeline, the Watershed® Cloud Data Lab (CDL) provides all the tools and technologies a biologist needs to harness the value of complexity in their own data, and lets bioinformaticians rapidly prototype and deploy custom and established analytic workflows across an organization. Combining our team of stellar software engineers’ and bioinformaticians trained at MIT, Harvard, Carnegie-Mellon, UCSD, and diverse industry experience, we have built a platform that our customers, such as Cellino and SalioGen, rave about. After raising a $14.5M Series A led by Canvas Ventures with Bessemer Venture Partners and Accomplice participating, we are rapidly scaling our team, including our world-class bioinformatics group.

As part of the bioinformatics team, you’ll help define the core scientific features and functionalities of our platform for years to come, and play a crucial role in ensuring the continued success of our product. This role is a great opportunity for candidates looking to go both wide and deep in their bioinformatics expertise, build upon their technical skills, and work with a group of rigorous, passionate, caring, and down-to-earth scientists and engineers. You’ll build bespoke bioinformatics solutions to address the unique problems our customers are facing and ensure their technical success. You’ll engage directly with users (both biologists and bioinformaticians) to test, troubleshoot, and enhance deployed workflows. You’ll use their feedback to enable our team to iteratively improve our product. Internally you will lead the development and prototyping of our bioinformatics workflows for technologies such as: short and long read NGS, mass-spectrometry (proteomics, metabolomics), high-content imaging, and protein folding. For a given pipeline, you’ll research available analysis methods, compare and contrast existing bioinformatics tooling options, identify areas for improvement, and implement a prototype workflow. You’ll work with our
full-stack engineering team to productionize this prototype into a mature product offering. Come make foundational contributions at a fast-paced and rapidly growing tech-bio startup with a culture of empathy, efficiency, responsibility, and candor.

Responsibilities:

Lead and execute the development of new bioinformatics workflows
Collaborate with our engineering team to make our bioinformatics workflows efficient and robust
Engage directly with customers (both biologists and bioinformaticians) on their deployment of the Watershed platform, ensure the technical success of client engagements, and communicate customer feedback and feature requests to the broader team
Test, troubleshoot, and enhance customer workflows with and on behalf of customers, and lead design and development reviews of these workflows
Propose and implement more sophisticated, bespoke bioinformatics analyses upon customer request

You would value working at Watershed if you are:

Thorough, but Practical: You pride yourself in robust analysis. Speed to insight is favored over perfection, but soundness of results is paramount. Quality control at every step is required. You're skeptical of data and model assumptions, and think that verifying results starts with inspecting the raw data. You believe added complexity can be hard to implement and even harder to validate.
A humble teammate: You’re excited to work in a cross-disciplinary team with a variety of skill sets you can constantly learn from. You understand that mistakes are inevitable, and that being open and forthcoming is the best way to rectify them and improve in the future. You know your areas for growth and can seek help from the team when needed.
Independent: You excel at scoping and executing multiple projects while being aware of competing priorities. You communicate successes and blockers to all stakeholders to ensure on time completion of goals.
Impact-driven: You think that the purpose of bioinformatics is to act as a lens through which to better understand biology versus an end in itself. You value translational research as a way to bring meaningful improvements to the world.
Technically rigorous: You appreciate that your work lays the foundation for bioinformatics analyses on the Watershed platform for years to come, and take the time to build modular, robust, and sustainable workflow components. You want to know the intricacies of each step and how they provide the insights our customers need.

Qualifications:

PhD-level expertise in developing end-to-end bioinformatics pipelines (5+ years of experience in bioinformatics)
Strong biology background and empathy for bench experimentalists
Excellent interpersonal communication skills
Knowledge of bioinformatics and data science best practices (quality-control, exploratory data analysis, existing industry standard open-source tools, data structures)
Experience in Python, R, and/or MATLAB
In-person work with flexible work-from-home days (currently Monday/Tuesday in-office)

Benefits and culture:

Competitive salary and equity compensation package
Employer contribution to healthcare insurance (medical, dental, vision) for you and your dependents
Flexible PTO: we believe it’s important to take time off to rest and recharge
Regular company outings
Uber eats stipend when working
Tremendous growth opportunity and autonomy in a rewarding, supportive environment
Top-down focus on employee wellness and work-life balance
Open door policy with a focus on collaboration

Watershed is an equal-opportunity employer and believes diversity of all types is integral to company success. We do not discriminate on the basis of religion, sexual orientation, gender identity, race, ethnicity, national origin, marital status, veteran status, or disability status.

POSTDOC POSITION IN THE HOLLENHORST LAB (BWH HEMATOLOGY)

Postdoc Position Available in the Hollenhorst Laboratory

Brigham and Women’s Hospital, Department of Medicine, Division of Hematology
Harvard Medical School
Boston, MA, USA

The Laboratory
The Hollenhorst laboratory studies glycoproteins that play critical roles in hemostasis and thrombosis. Platelets and coagulation factors are heavily coated in glycans (carbohydrate polymers) which are essential for healthy function of the hemostatic system. We are interested in understanding how these glycans regulate the structure and function of hemostatic glycoproteins, and modulate the anti-platelet immune response. We are recruiting a postdoctoral fellow to perform cutting-edge research using the tools of chemical biology to dissect platelet and coagulation factor glycobiology. Our ultimate goal is to improve the lives of patients with bleeding and thrombotic disorders.

The Institute
The Hollenhorst laboratory is located in the Harvard Institutes of Medicine building,4 Blackfan Circle, inthe center of the Longwood Medical Area. We are a member of the Brigham and Women’s Hospital Division of Hematology and Harvard Medical School. We have ties to the Broad Institute of Harvard and MIT and the Dana-Farber/Harvard Cancer Center. These institutions house scientific and clinical experts in a wide variety of areas, enabling interactions with a myriad of collaborators and communities. We have access to state-of-the-art facilities for biochemistry, chemical biology, proteomics, genomics, flow cytometry, etc. These rich resources allow laboratory members to thrive and explore novel scientific questions in a supportive and well-equipped environment.

(Video) Hopefully by watching this video you’ll learn something new..

The Candidate
Applicants must have completed or be within 1 year of completion of an MD, PhD, or MD/PhD and have a strong background in biochemistry, chemical biology, cell biology, hemostasis/thrombosis, or a related field. We are looking for enthusiastic, self-directed learners with a strong work ethic and the ability to work in a collaborative manner. Applicants who have published at least one peer reviewed first-author research article are preferred. Candidates should send the following application materials to Ms. Letice Arthur (larthur5 [at] bwh.harvard.educlass="ms-outlook-linkify"):cover letter, curriculum vitae, list of 3 references.

EEO Statement
Brigham and Women's Hospital is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, sexual orientation, protected veteran status, or on the basis of disability.

RESEARCH ASSISTANT POSITION IN THE HOLLENHORST LAB (BWH HEMATOLOGY)

Research Assistant Position Available in the Hollenhorst Laboratory

Brigham and Women’s Hospital, Department of Medicine, Division of Hematology
Harvard Medical School
Boston, MA, USA

POST-DOCTORAL TRAINING OPPORTUNITY

We are pleased to announce openings in ourOrganDesign andEngineering Post-doctoralTraining Program (ODET). This T32 training grant is funded by NIBIB and is based at Brigham and Women’s Hospital, with mentors from Harvard University, Harvard Medical School, Massachusetts General Hospital,Beth Israel Deaconess, Boston Children’s Hospital and MIT, Boston, Massachusetts.

Our goal is to provide multidisciplinary research training to post-doctoral fellows. Individuals accepted to this program will work in laboratories of Harvard and/or MIT faculty. An important feature of the program is additional training in an area of expertise outside of their primary research field. Working at the intersection of engineering and developmental/regenerative biology, trainees will learn a new language in translational medicine and ultimately develop a common dialect that effectively bridges different disciplines to create innovative organ designs and find engineering solutions in medicine. The program utilizes a dual mentor model where fellows spend time in the laboratories of two mentors and are able to facilitate active communication across laboratories, institutions and geographic boundaries.

We are now actively evaluating candidates for the Program.The deadline for applications is March 15, 2023.Applicants will be selected on a rolling basis.Trainees must be US citizens or permanent residents. Candidates must have an MD or PhD to qualify.

If you would like more information or know of specific candidates who you would recommend for this training program, please emailBWHODET [at] partners.org ().

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Joseph V. Bonventre MD, PhD, Program Director
Samuel A. Levine Distinguished Professor of Medicine,Harvard Medical School; Constantine L. Hampers, MD Distinguished Chair in Renal Medicine; Chief, Division of Renal Medicine; Chief, Division of Engineering in Medicine, Brigham and Women’s Hospital

Luke Lee PhD, Associate Program Director
Professor,Division of Engineering in Medicine, Harvard Medical School, Brigham and Women’s Hospital

STANFORD PROPEL 2023 APPLICATION NOW OPEN

Launched in 2021, thePropelPostdoctoral Scholars Programseeks to empower outstanding scientists, prepare future faculty leaders, and create and a community of promising bioscientists from backgrounds historically underrepresented in academia who are interested in becoming faculty. Propelis a 2-year cohort-based program that provides a $80,000 annual salary with benefits and $5,000 supplemental research funds.

Propel is designed to help you thrive in your postdoc and faculty career with programming that supports community-building, career development to navigate the transition to a faculty career, and professional skills like grant writing, science communication, networking, and mentoring.

Eligible applicants are encouraged tostanfordpropel [at] stanford.edu (contact the Propel team)for guidance on preparing a successful application, including connecting with potential mentors.

Propel applicants are:

US Citizens, Permanent Residents, Dreamers, or DACA-mented
PhD/MD holders by funding start
Interviewing/working with a Stanford School of Medicine faculty mentor

Application due June 1, 2023

Apply today!

ENCORA THERAPEUTICS RECRUITING ITS FIRST HIRE

Encora Therapeuticsis an MIT spin-out medical device company currently recruiting for our first hire.

Encora, an MIT spinout, has developed a breakthrough wearable medical device aimed at reducing hand tremors in patients with conditions such as Parkinson Disease and Essential Tremor syndrome. These two conditions together affect over 90 million patients worldwide. Our prototypes have demonstrated the ability of our technology to dramatically mitigate tremors and other dyskinesias. Additionally, with extended use, it could potentially “rewire” the brain for long-term therapeutic movement disorder relief via entrainment and neuroplasticity. Everything we do contributes toward our driving mission to help this enormous, underserved population. The company is headquartered in Boston.

About The Team
You will be the first hire of this early stage company, contributing significantly to the company’s product development efforts. The founding team consists of three highly ambitious, energetic, and hardworking MIT engineers. The project is currently in a R&D phase; we are rapidly iterating
and implementing ideas to progressively de-risk our technical, clinical, and market strategies.

About The Role
In this role, you will leverage your experience as a mechanical/electrical engineer to assist in the development of our commercial, clinical, and internal products. More specifically, you will be partly or wholly responsible for: designing and testing products, prototypes, and circuit boards;
programming off the shelf and custom circuit boards; testing products with customers/patients; analyzing data; and other miscellaneous product development work.

Our job description and application form can be found here.

POSTDOCTORAL RESEARCH FELLOW POSITION - MILLER LAB (MGH)

Research Area: Theranostics

Full/Part Time: Full Time

Investigators: Miller, Miles; Ng, Thomas

The Miller Lab in the Center for Systems Biology at the Massachusetts General Hospital, Harvard Medical School is looking for a curious and driven postdoctoral research fellow who wants to develop and understand synergistic and translational theranostic approaches for cancer treatment, especially for prostate malignancies, and particularly through the use of targeted external and systemically delivered radiotherapy. Our lab has particular interests in macromolecule drug delivery systems, including nano- and immunotherapy approaches - always with clinical translation potential and relevance in mind.

(Video) Abington School Committee; January 24, 2023

Ideal candidates should have a background and/or interest in theranostics/imaging, radiobiology, immunology or cancer biology, with expertise in cell culture, flow cytometry, and in vivo mouse models.

Postdoctoral fellows will design and execute laboratory research in support of the lab’s mission to develop novel theranostic approaches for therapy and response monitoring. Creative thinkers who are willing to take risks and define important unmet problems in cancer research within a collegial and collaborative environment are encouraged to apply. Candidates will be encouraged to apply for their own grants with the eventual goal of the fellow launching their independent research career.

A PhD, MD, or MD-PhD is required. Interested candidates are invited to submit application materials consisting of i) a cover letter indicating research background/interests/plan including a statement of impact, ii) a curriculum vitae, to miles.mlller [at] mgh.harvard.edu and scng [at] partners.org). References may be requested post-interview.

SEVERAL PROFESSIONAL POSITIONS OPEN - GERBER LAB - HMS/BWH

Post-doctoral Fellow, Deep Learning for the Microbiome at Harvard Medical School
Post-doctoral positions available (with flexible start dates) to develop novel deep learning approaches to further understanding of the microbiome--the trillions of microbes living on and within us. This fascinating, complex and dynamic ecosystem is crucial for human health, and when disrupted may contribute to a variety of diseases including infections, arthritis, allergies, cancer, heart and bowel disorders. Over the past decade, sequencing and other high-throughput methods have provided data about the microbiome at unprecedented scale.

We are looking for talented and highly motivated post-docs with strong mathematical backgrounds (computer science, computational biology, statistics, mathematics, ecology, physics, etc.) who want to develop and apply novel deep learning methods that will further understanding of the microbiome. Applications include forecasting microbial population dynamics in the gut for rational design of therapies, predicting the impact of the microbiome on the onset or progression of human diseases, predicting interactions with the host immune system, elucidating host-microbial metabolic interactions, and discovering functions of uncharacterized microbial metabolites and proteins. From the machine learning perspective, areas of interest include:

Fully-differentiable interpretable probabilistic models based on relaxations and variational inference
Deep Bayesian, dynamical systems and other structured models
Neural topic models
Deep learning models using sequence information

The position could be a good fit for either someone with a strong machine learning background who wants to get domain-specific research experience, OR someone with a strong mathematical background who wants to get more machine learning experience.

Applicants should have a high level of interest in:

Applying new deep learning technologies to biomedical problems.
Advancing knowledge of the microbiome and its role in human health and disease.
Having your work make an impact on healthcare outcomes.
Working on an interdisciplinary team and collaborating with computational, wet lab and clinical scientists.

The candidate is expected to engage with the broader machine learning and computational biology communities by presenting work at top conferences, as well as publishing applications of new methods in high impact journals. Although some experience modeling biological or other complex systems is required, microbiome specific knowledge is not required.

About the lab: the Gerber Lab (http://gerber.bwh.harvard.edu) develops novel statistical machine learning models and high-throughput experimental systems to understand the role of the microbiota in human diseases, and applies these findings to develop new diagnostic tests and therapies. A particular focus of the Gerber Lab is understanding dynamic behaviors of host-microbial ecosystems. Our work in this area includes Bayesian statistical machine learning methods for discovering temporal patterns in microbiome data, inferring dynamical systems models from microbiome time-series data, or predicting host status from microbiome time-series data with human interpretable rules. We have applied these methods to a number of clinically relevant questions including understanding dynamic effects of antibiotics, infections and dietary changes on the microbiome, and designing bacteriotherapies for C. difficile infection and food allergy. We also apply our methods to synthetic biology problems, to engineer consortia of bacteria for diagnostic and therapeutic purposes.

Environment: the Gerber Lab is located in the Division of Computational Pathology (http://comp-path.bwh.harvard.edu), which Dr. Gerber heads, at Brigham and Women’s Hospital (BWH) at Harvard Medical School (HMS), and the Massachusetts Host-Microbiome Center (http://metagenomics.partners.org), which Dr. Gerber co-directs. BWH, an HMS affiliated teaching hospital is adjacent to the HMS main quad and is the second largest non-university recipient of NIH research funding. The broad mandate of the BWH Division of Computational Pathology is to develop and apply advanced computational methods for furthering the understanding, diagnosis and treatment of human diseases. The Division is situated within the BWH Department of Pathology, which houses over 40+ established investigators, 50+ postdoctoral research fellows, and 100+ research support staff. In addition, BWH is part of the greater Longwood Medical Area in Boston, a rich, stimulating environment conducive to intellectual development and research collaborations, which includes HMS, Harvard School of Public Health, Boston Children’s Hospital and the Dana Farber Cancer Institute.

Qualifications:

PhD in computer science, computational biology, ecology, mathematics, physics, statistics, or other quantitative discipline.
Excellent publication track record.
Strong mathematical background with track record developing novel models and methods.
Solid programming skills in Python, with PyTorch experience desirable.
Experience modeling biological or other complex systems required; microbiome experience desirable, but not required.
Superior communication skills and ability to work on multidisciplinary teams.

Email single PDF including cover letter, CV, unofficial transcripts, brief research statement and list of at least three references to Dr. Georg Gerber (ggerber [at] bwh.harvard.edu). In your CV, indicate whether you are a U.S. citizen/permanent resident or visa holder (and list visa type).

Research Scientist, Machine Learning for Microbiome at Harvard Medical School
The Microbiome AI/Deep Learning Lab in the Massachusetts Host-Microbiome Center and Division of Computational Pathology at Brigham and Women’s Hospital/Harvard Medical School is seeking a scientist with experience in machine learning. You will develop, deploy, and apply machine learning approaches, with a special emphasis on deep learning, to a variety of microbiology data sources. Applications will include forecasting microbial population dynamics in the gut, predicting impact of the microbiome on host phenotype, tracking infections in human populations, elucidating microbial metabolism, and discovering functions of uncharacterized microbial metabolites and proteins. An important component of the position will also include engagement with the broader research community to identify new application areas.

Applicants should have a high level of interest in:

Applying new deep learning technologies to biomedical problems.
Advancing knowledge of the microbiome and its role in human health and disease.
Having your work make a direct impact on healthcare outcomes.
Working on an interdisciplinary team and collaborating with computational, wet lab and clinical scientists.
Engaging with the broader research community to advance applications of AI/deep learning for the microbiome.

Required qualifications:

PhD in Computational Biology, Computer Science, Physics, Statistics, Quantitative Microbial Genetics, Quantitative Ecology, or related quantitative discipline, with demonstrated experience in machine learning.
Strong publication track record.
Programming experience in Python.
Experience with Unix, shell scripting, and high-performance computing environments (e.g., SLURM/LSF).
Experience with bioinformatics methods and pipelines for next generation sequencing data analysis.
Experience with organizing and managing large multi-omics datasets.
Strong written and oral communication skills.

Desired qualifications:

Experience with PyTorch.
Experience with microbiology/microbiome applications and metabolic modeling tools.

Email single PDF including cover letter, CV, and list of at least three references to Dr. Georg Gerber (ggerber [at] bwh.harvard.edu). In your CV, indicate whether you are a U.S. citizen/permanent resident or visa holder (and list visa type).

About the environment: The Microbiome AI/Deep Learning Lab is a newly established initiative within the Massachusetts Host-Microbiome Center (MHMC) and the Division of Computational Pathology (DCP) at Brigham and Women’s Hospital (BWH)/Harvard Medical School (HMS). With recent funding from the Massachusetts Life Sciences Center, the Lab is building a state-of-the-art compute cluster with extensive GPU and CPU nodes, with the objective of making advanced deep learning technologies broadly available to microbiome researchers. The MHMC is a research and core facility that has worked with 100+ groups in the US and internationally to promote understanding of host-microbiome interactions in health and disease, emphasizing a focus on function to define causative effects of the microbiota and to harness this knowledge in developing new therapies, diagnostics and further commercial applications. The DCP is a research division with a broad mandate to develop and apply advanced computational methods for furthering the understanding, diagnosis and treatment of human diseases. BWH is an HMS affiliated teaching hospital, adjacent to the HMS main quad, and the second largest non-university recipient of NIH research funding.

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MEMORIAL SLOAN KETTERING CANCER CENTER - RECRUITING POSTDOCS - APPLY NOW

Postdoctoral training opportunities are available in Biological, Biomedical Sciences, Molecular, Cellular, and Developmental Biology.

Memorial Sloan Kettering Cancer Center (MSK)is actively recruiting talented researchers to join us for the next phase of their career. MSK is a top-ranked cancer center that consistently produces innovative research aimed at preventing, controlling, and ultimately curing cancer among other diseases. We write to actively invite your graduating or recently graduated PhD students as well as postdocs seeking more experience to apply to be a part of MSK. We’d greatly appreciate your help in spreading the word amongst your students.

At MSK, postdoctoral trainees are embedded in a scientifically invigorating environment in the heart of NYC, an exciting hub for biomedical research. Postdocs would join a vibrant community of nearly 500 others pursuing a fertile range of scientific topics, all the while developing their skills and professional potential among a diverse mix of talented colleagues.

MSK provides postdoctoral researchers with a highly competitive salary andbenefits packagewith yearly increases; full medical, dental, and vision coverage for themselves and any eligible dependents; low-cost housing options, affordable childcare, and minimum of 12 week paid parental leave.

To learn more about the diverse laboratory specialties in SKI and in Memorial Hospital and to peruse currently open positions, please visit our Postdoctoral Opportunities pageHEREand the Career portalHERE, where candidates can also upload their CV to be contacted about future opportunities.

POST-DOCTORAL POSITION – CAROLINA CANCER NANOTECHNOLOGY T32 TRAINING PROGRAM

The Carolina Cancer Nanotechnology Training Program is an NIH funded 24-36-month mentored training program offered at The University of North Carolina Chapel Hill with focus area of research on cancer nanotechnology. Join an elite group of scientists and innovators using multidisciplinary concepts and skills to improve cancer diagnosis and therapy based on tools and discoveries made in nanoscience and nanotechnology.

All applicants must be either US citizens or permanent residents.

Strong emphasis on cancer biology and clinical medicine in addition to nanotechnology. Program focus areas include: drug delivery, polymers, chemo- and immunotherapy, RNA vaccines, computational chemistry, PK/PD, and translational research. Curriculum of seminars and workshops developed to broaden understanding of all areas of cancer nanotechnology. Physical and material scientists, pharmaceutical scientists, biomedical engineers, and clinician scientists all strongly encouraged to apply.

Apply Now!

Educational Requirements:
Trainee will have completed highly relevant doctoral training in medical, pharmacy, chemistry, biomedical sciences, or related area and was awarded PhD, MD, or MD/PhD.

Please refer to the program website for additional details. Any questions or inquiries can be directed to Amy Fry at amy_fry [at] unc.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 atwww.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."

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