November 04, 2022 - Volume 24, Number 10 | Harvard-MIT Health Sciences and Technology (2024)

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.

Our job description and application form can be found here.

JOB OPENING - AMERICAN CANCER SOCIETY, BRIGHTEDGE

Location: Boston, Massachusetts
Position Type: Full-time

At the American Cancer Society, we're leading the fight for a world without cancer. Our employees and 1.5 million volunteers are raising the bar every single day. We actively seek candidates from diverse backgrounds including communities of color, the LGBTQ community, veterans, and people with disabilities. The greater the diversity of our people, the better we can serve our communities.

The people who work at the American Cancer Society focus their diverse talents on our lifesaving mission. It is a calling. And the people who answer it are fulfilled.

Position Description

This position is a remote role located in the US, with a preference to reside in the Northeastern US.

JOB SUMMARY

Since 1913, the American Cancer Society has been dedicated to saving lives, celebrating lives, and leading the fight for a world without cancer. BrightEdge is the American Cancer Society’s impact investment and VC arm that seeks to defeat cancer through patient centric innovation. BrightEdge propels groundbreaking solutions to accelerate ACS’s bold vision of ending cancer as we know it, for everyone.

ACS Impact Venture Fund (IVF) represents an evergreen fund investing in the most innovative startup companies developing novel technology-based solutions to advance science, reduce disparities, and promote sustainability. The current fund size stands at $73 million and is targeted to reach $100 million by end of 2023 through fundraising and investment returns. The portfolio currently includes a portfolio of 17 investments across therapeutics, medical device, diagnostics and healthtech.

The BrightEdge team uses a triple bottom-line approach by evaluating mission-driven social impact and financial return potential for investment, in order to help fuel and deliver the Society’s life-saving programs in research, access, and health equity.

The Senior Associate will partner with the BrightEdge Team to source and diligence early stage private company opportunities and provide support to the growing investment portfolio. The Senior Associate will source, track, and evaluate potential investments, conduct in-depth due diligence on both the scientific and business merits of select deals, and develop investment recommendations. In addition, the Senior Associate will curate the deal flow, from initial contact through execution, and will assist with portfolio-related matters.

MAJOR RESPONSIBILITIES

• Develop investment views based on innovation trends matched to in-depth understanding of patient-centric unmet need, Including company/technology landscaping activities
• Source investment opportunities by development of relationships with entrepreneurs, company advisors, scientific founders and co-investors; attendance of networking events, relevant industry conferences
• Organize deal flow funnel and track/support co-investor relationships
• Perform due diligence on prospective portfolio companies, including primary and secondary market research, detailed scientific and technical analysis, detailed impact assessment, competitive analysis, investment documentation review, and financial modeling.
• Generate actionable investment case for mature prospects by completing rounded and integrated analysis
• Draft prequalification and final investment memos, summarizing all aspects of the investment recommendation to BrightEdge team and the investment committee, and participate directly in investment committee discussions;
• Support the IVF portfolio, by attending target company management meetings, assisting with quarterly and annual reporting needs
• Research and generate evidence for ACS’ mission and programmatic activities in impact investment.
• Ecosystem stakeholder engagement across ACS researchers, professors, research institutions, advisory network; alliance management with innovation partner network. Support ACS fundraising, community development, and donor/investor relations.

Position Requirements

FORMAL KNOWLEDGE

Advanced degree holder (PhD or MD) in oncology-related field. At least 3-5 years of experience in venture capital and innovation (business development, external innovation, strategy consulting) in the biomedical/healthcare industry. MBA desirable.

COMPETENCIES/SKILLS

• Deep scientific background in life sciences with strong understanding of cancer biology.
• Prior investment experience in the biomedical/healthcare industry, additional experience in a startup or innovation setting (Business Development, External Innovation, Strategy consulting).
• Motivated by impacting the lives of patients through biomedical- and healthtech innovation
• Builds networks - Effectively builds formal and informal relationship networks inside and outside the organization.
• Cultivates innovation - Creates new and better ways for the organization to be successful.
• Optimizes work processes - Knows the most effective and efficient processes to get things done, with a focus on continuous improvement.
• Strong oral and written communication skills— Analytical/evaluative thinker. Excellent attention to detail
• Capacity to travel up to 25%. Frequent travel to onsite meetings in Boston, MA required.

The full compensation range established for this position begins at a minimum of $120,000 annually.* Actual starting pay may differ based on non-discriminatory factors including, but not limited to, geographic location, experience, skills, specialty, and education.

The American Cancer Society has adopted a vaccination policy that requires all staff, regardless of position or work location, to be fully vaccinated against COVID-19 (except where prohibited by state law).

ACS provides staff a generous paid time off policy; medical, dental, retirement benefits, wellness programs, and professional development programs to enhance staff skills. Further details on our benefits can be found on our careers site at: jobs.cancer.org/benefits. We are a proud equal opportunity employer.

Apply Now

Equal Opportunity Employer.

See our commitment to a policy of Equal Employment Opportunity to continually ensure equal opportunity to our employees and to our applicants.

THE UCSF SANDLER FELLOWS PROGRAM

Nominations are being solicited for appointment as a UCSF Sandler Fellow. UCSF Sandler Fellows are independent group leaders who receive an annual financial award to cover their salary and the costs of their research program. Fellows are encouraged to apply for an NIH Director’s Early Independence Award (DP5). The UCSF Sandler Fellow award is nonrenewable, for a term of five years. Seehttp://fellows.ucsf.edu/for additional details about the program.

A candidate must be nominated by a mentor/advisor who is able to comment in some depth on the accomplishments and future potential of the candidate. A nomination letter, accompanied by the nominee’s curriculum vitae, should be sent to the address below by 1/13/23. Selected applications will then be chosen to submit two additional letters of recommendation and a brief research plan. All letters should include specific comments about how the candidate’s proposed research program has the potential for high impact in the chosen field and is distinct from existing work in the advisor’s lab, and why the candidate is ready to start an independent lab. Nominees working in any area of modern biomedical sciences will be considered. Although the UCSF Sandler Fellows Program is eager to consider nominations of all exceptional individuals, we are particularly interested in attracting a broad, diverse spectrum of scientists to our campus.

The deadline for nominations is January 13, 2023.

Nominations should be sent by email to:

Dr. Alan Frankel, Chair, UCSF Sandler Fellows Steering Committee, University of California, San Francisco, Department of Biochemistry and Biophysics, 600 16thStreet, San Francisco CA 94158-2280 - Email:frankel [at] cgl.ucsf.edu (frankel[at]cgl[dot]ucsf[dot]edu)

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.

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 (miles[dot]mlller[at]mgh[dot]harvard[dot]edu) and scng [at] partners.org (scng[at]partners[dot]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 (ggerber[at]bwh[dot]harvard[dot]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 (ggerber[at]bwh[dot]harvard[dot]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.

GEORGE CHURCH LAB POST-DOCTORAL FELLOW POSITION AVAIALBLE

We have a Post-Doctoral Fellowopportunity within the group at the Wyss Institute to work on engineered cell-based therapeutics. Ideal candidates should have a background in either immunology, cancer biology, synthetic biology, or genetic engineering.

As aNorthpond Labsfunded project, this is a unique and fully-funded opportunity for those interested in working on research with translational and commercial potential.

Interested individuals may apply directly or contact the lab atchurch_lab_admin [at] hms.harvard.edu (church_lab_admin[at]hms[dot]harvard[dot]edu)with any questions

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.

PRINCIPAL SCIENTIFIC RESEARCHER POSITION AT GENENTECH INFECTIOUS DISEASES

The Department of Infectious Diseases at Genentech is seeking a highly motivated Principal Scientific Researcher to participate in discovery research and drug development in the area of host-microbe interactions. The candidate will help drive our efforts in understanding dysregulated host pathways in infectious disease, including (but not limited to) sepsis, acute respiratory distress syndrome (ARDS), pneumonia, and COVID-19. This is a laboratory-based position that requires hands-on experience in immunology, microbiology, and cell biology. The successful candidate will be a member of a dynamic and highly motivated team committed to discovering novel therapies in infectious disease.

Qualifications

• PhD in Immunology, Microbiology, Cell Biology, or related field

• Track record of independent research and creativity, as demonstrated by high impact publications

• Excellent communication skills and experience working in a highly collaborative environment

• Familiarity with immune cell culture and/or in vivo models, multicolor flow cytometry, cellular immunological assays, single cell genomics, and gene perturbation technologies (CRISPR ko/i/a)

Preferred Expertise

• Strong background in cellular immunology and experience studying gene function in primary immune cells, particularly myeloid cells

• Previous experience in modeling and studying interactions between immune and non-immune cells (endothelial, epithelial cells, or fibroblasts) is desirable

• Background in systems immunology and experience with computational analysis of -omic datasets is a plus

Find a link to the job posting here.

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 (amy_fry[at]unc[dot]edu).

POSTDOCTORAL OPPORTUNITY - RAKESH JAIN LAB - MGH

TumorMicroenvironment, Vascular Biology, Matrix Biology, Immunology, Molecular & Cellular Biology, Metabolism, Intravital Microscopy and Biomedical Engineering

TheJAIN LAB (https://steelelabs.mgh.harvard.edu/rakesh_jain/pi_bio) in the STEELE LABORATORIES OF TUMOR BIOLOGY (https://steelelabs.mgh.harvard.edu) at the Massachusetts General Hospital, Harvard Medical School invites applications for Postdoctoral Research Fellow positions. Multiple positions are available in tumor microenvironment, vascular biology, matrix biology, immunology, molecular/cellular biology, metabolism, intravital microscopy and biomedical engineering. Ideal candidates should have a strong academic background, peer-reviewed publications, strong English language proficiency and writing skills. Candidates with a strong background in single-cell-sequencing, bioinformatics, Python, and R statistical computing are also encouraged to apply.

The Steele Labs have a diverse faculty and offer a lively and supportive environment in which to perform cutting-edge interdisciplinary research. Our research goals are (i) to understand how the abnormal tumor microenvironment confers resistance to various cancer treatments (e.g., molecular therapeutics, nanotherapeutics, radiation and immunotherapy), (ii) to develop and test new strategies to overcome this resistance, and (iii) to translate these strategies from bench to bedside through multi-disciplinary clinical trials. This tight integration between bench and bedside and application of engineering/physical science principles to oncology is a hallmark of our research.

Responsibilities:We seek creative thinkers who take risks in defining and addressing important problems, and who use quantitative molecular, genetic, cellular, and computational approaches in their work. Research fellows are encouraged to apply for post-doctoral fellowships and to write their own transition grants to launch their independent research careers following their training period. Salary will be commensurate with qualifications and experience with additional funding for conferences and training seminars.

Requirements:A PhD or MD/PhD is required. To apply, please send your CV, a career statement, a summary of your most significant research accomplishments (300 words) and the contact information of three references to: Steele Labs Recruiting jobs [at] steele.mgh.harvard.edu (jobs[at]steele[dot]mgh[dot]harvard[dot]edu).

MULTIPLE POSTDOCTORAL FELLOWSHIPS IN PHYSIOLOGICAL SIGNAL PROCESSING AND MACHINE LEARNING - MGH

Organization:Massachusetts General Hospital, Cardiovascular Research Center
Location:Boston, MA
Deadline:till the positionsarefilled

Description:
The projects involve thedevelopment ofnovel signal processingalgorithmsand hardwaretoimprove health care deliveryin:

(1)the Intensive Care Unit

(2) smart-phone based diagnostics

The interested individual(s) will function as part of a multi-disciplinary team of life scientists, engineers and clinicians.

Environment:
The mission of the laboratory is to develop advanced computational approaches to study the mechanisms of cardiac arrhythmias from the myocyte to the whole organ level. Massachusetts General Hospital (MGH) is a major research center, affiliated with Harvard Medical School and the Brigham and Women’s Hospital. Collectively, these institutions represent one of the largest aggregations of biomedical researchers in the world. Opportunities exist for scientific interaction and collaboration with an extensive program of seminars, symposia and other organized meetings focused on a large array of topics. These seminars are weekly and include local, national, and international speakers on topics of general relevance for cardiovascular science and medicine. The Cardiovascular Research Center (CVRC) has an internationally recognized research program in cardiovascular, vascular, and pulmonary disease and development. The CVRC is home to over 100 researchers, in two locations - the Charlestown Navy Yard and the new Richard B. Simches Research Building. The MGH Division of Cardiology and the CVRC have a proven track record in training leaders in the fields of applied cardiac electrophysiology, pulmonary and vascular biology.

Qualifications:
The ideal candidate should have a PhD in biomedical engineering or other relevant areas of biomedical sciences.She/heshould possess excellent written and verbal communication skills, be independent, self-motivated, and should have solid knowledge ofmachine learningandsignal processing,and significant programming experience inMATLABand Python.

Contact:
AntonisA. Armoundas, PhD
MassachusettsGeneral Hospital/Cardiovascular Research Center
149 13^thStreet
Charlestown, MA 02129

TEL: 617-726-0930, FAX: 617-726-5806

Email: aarmoundas [at] partners.org (aarmoundas[at]partners[dot]org)

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://mv-ezproxy-com.ezproxy.canberra.edu.au/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://mv-ezproxy-com.ezproxy.canberra.edu.au/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.ezproxy.canberra.edu.au/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.ezproxy.canberra.edu.au/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."