RESEARCH FELLOW IN DIGITAL HEALTH - BIDMC
Research Fellow in Digital Health: Beth Israel Deaconess Medical Center Division of Digital Psychiatry
(co-sponsored, dual appointment with the Department of Biomedical Informatics at Harvard Medical School)
This unique research fellowship at the intersection of digital health, smartphone apps, digital phenotyping, biostatistics, and patient care offers the opportunity to work at the frontier of mobile health at Harvard Medical School. This fellowship focuses on evaluation, analysis, and dissemination of clinically focused insights derived from novel data obtained from clinical research studies focusing on college mental health and serious mental illnesses.
The Digital Psychiatry Division (https://www.digitalpsych.org/) of the Department of Psychiatry at Beth Israel Deaconess Medical Center, a Harvard Medical School Affiliated Teaching Hospital, is leading efforts to translate advances in digital phenotyping and smartphone interventions for mental health to clinical solutions to improve the care of patients with illnesses like schizophrenia, bipolar disorder, and depression. The team is led by John Torous MD, board certified in both psychiatry and clinical informatics and offers the opportunity to make a strong impact and improve mental health with new technologies.
Start: Can be immediately and negotiable
With this current opening we are seeking a candidate with strong quantitative skillsets applicable to digital mental health including time series analysis, imputation, creation of novel models, and application machine learning methods. Longitudinal patient level data is today generated from smartphone sensors, surveys, and metadata with the opportunity to combine neuroimaging and genetic data sets. Immediate goals include creating models of relapse prediction based on smartphone data to provide patients with early warning of elevated risk. The successful candidate would be expected to lead several projects at the intersection of digital mental health, global health, and clinical care that would result in first author publications. Finally, the successful candidate would be expected to work with our team in pursuing both industry and academic grants to expand this work.
An ideal candidate has been awarded or has nearly completed the requirements for a doctoral degree or foreign equivalent and is a trainee pursuing advanced studies beyond the doctoral level in preparation for an independent career in quantitative data science. In collaboration with and under the mentorship of the Principle Investigator (PI), a successful Research Fellow will engage in activities in the digital mental health space that will further his or her professional development. The position can be co-sponsored with the Division of Biomedical Informatics at Harvard Medical School and offer protected time there as well as at the medical center.
Doctoral degree related to computer science, biostatistics, or data science
Strong publication history and writing skills
Strong quantitative and analytical skillset with R or Python experience.
Prior experience reviewing, analyzing, and summarizing scientific literature.
Excellent attention to detail and interpersonal, organizational, writing, and project management skills.
Strong organizational and data management skills.
Prior healthcare related research or team experience
Data visualization experience
For more information, please email John Torous MD: jtorous [at] bidmc.harvard.edu.
MARTINOS CENTER RESEARCH FELLOW IN SIMULTANEOUS PET/MR NEUROIMAGING
Martinos Center Research Fellow in Simultaneous PET/MR Neuroimaging
Athinoula A. Martinos Center for Biomedical Imaging MGH, HMS
We are seeking two postdoctoral fellows to join our team to pursue research in simultaneous PET/MR imaging in neuroscience applications. Our research focuses on developing and applying novel PET/MRI methods to investigate the neurochemical underpinnings of psychiatric and neurological disorders. We have projects and training opportunities in the following area: (1) Quantify neuroreceptor dynamics and evaluate functional consequences with pharmacological imaging in animal models and human subjects, with applications in pain, addiction, and other psychiatric disorders; and (2) Assess the impacts of neurovascular coupling/function on PET radiotracer kinetics, with applications in neurodegenerative disorders.
Our research programs are highly translational spanning from animal models, first-in-human studies, to clinical applications. The appointment as a Massachusetts General Hospital, Harvard Medical School research fellow will be for 1 year with possibility for extension based on performance and the availability of funding. The positions are available immediately.
The successful candidate will be a highly motivated researcher with a desire to begin an independent career related to or involving neuroimaging. The position requires a PhD degree in Medical Physics, Biomedical Engineering, Computer Science, Neuroscience or a related field. However, we will consider candidates of any scientific background. This position requires experience in analysis of medical imaging data. Experience with MRI or PET is a plus. Extremely strong candidates with minimal imaging experience are still encouraged to apply. Strong written and oral English communication skills are required.
The job requires a candidate who is mature, responsible and flexible with excellent organizational and people skills. S/He must be able to work with in a fast-paced environment and should be able to problemsolve/troubleshoot, juggle and prioritize multiple tasks and seek assistance when appropriate.
Interested applicants should send a cover letter describing research interests and experience, an updated CV, and names and contact information of three references to: Hsiao-Ying (Monica) Wey, Ph.D. (E-mail: hsiaoying.wey [at] mgh.harvard.edu). Please contain “Research Fellow Application: Your Name” in the e-mail subject line.
The Massachusetts General Hospital and Harvard Medical School are equal opportunity and affirmative action employers.
NEW CAREER OPPORTUNITIES AT AKATECH.TECH
We are pleased to provide you with current job openings across the globe at AKATECH.tech, your network of careers in the field of Computer Science and Engineering. Visit our website at https://akatech.tech/.
POSTDOCTORAL POSITION IN SYSTEMS MODELING (PFIZER/CAMBRIDGE, MA)
Postdoctoral Fellow – Mathematical Modeling and Simulation
Quantitative Systems Pharmacology (QSP) is a discipline that uses mechanistic mathematical models and disease platforms to enhance the robustness and quality of decision-making from exploratory research through clinical development. The QSP group at Pfizer is seeking a highly motivated postdoctoral candidate to develop and analyze mechanistic mathematical models of gene therapy for clinical applications. This Postdoctoral Fellowship is an opportunity to work within a dynamic group who are at the forefront of the application of mechanistic systems models to address critical uncertainties in drug discovery and development.
Pfizer is working to pioneer gene therapy breakthroughs that change patients’ lives. We hope to unlock the promise of gene therapy for patients worldwide living with rare genetic diseases for whom the current standard of care falls short.
A successful candidate will develop and analyze mathematical models of adeno-associated virus (AAV) based gene therapy that integrates biological knowledge and available data from Pfizer’s clinical programs, with the goal of providing tools for pre-clinical to clinical translation, dose selection, and clinical trial design. The Postdoctoral Fellow will work collaboratively with biologists, clinicians, clinical pharmacologists, pharmacometricians, and QSP and nonclinical modelers to improve designs for effective and durable gene therapies in multiple therapeutic areas, with an initial focus on rare genetic diseases.
The Postdoctoral Fellow will participate in Pfizer’s Worldwide Research and Development (WRD) Postdoctoral Program. Postdoctoral Fellows pursue their research and career training in a culture steeped in the translation of basic science discovery into difference-making medicines for patients of all ages and geographies. One of the core missions of Pfizer’s WRD Postdoctoral Program is to match high-quality trainees with outstanding mentors and promising research projects in a setting that places a premium on your preparation for the next stage of your career whether it is a career in industry or academia.
The Postdoctoral Fellow will develop and utilize mathematical models toward enhanced quantitative understanding of the effectiveness and durability of a gene therapy treatment based on literature and internal data from our clinical trials. This may include but is not limited to:
- Employing modeling and simulation techniques for predicting gene therapy outcomes
- Identifying relevant data (in vitro and in vivo preclinical and clinical study data) for model development, optimization, and validation
- Designing nonclinical experiments aimed towards generating data for model validation and testing of relevant hypotheses
- Effectively communicating model results and outcomes to scientists in both quantitative and non-quantitative disciplines
- Primary authorship on scientific publications and presenting at internal and external scientific meetings
- Recent Ph.D. (0-3 years) in Applied Mathematics, Mathematical Biology, Chemical Engineering, Biomedical Engineering, Physics, or related discipline with strong numerical components focusing on mathematical modeling and simulation.
- Training and/or experience in mechanistic modeling of biological or physiological systems is required
- Understanding of theory, principles, and statistical aspects of mathematical modeling and simulation, including parameter estimation techniques
- In-depth understanding of ordinary differential equations (ODEs) and how these can be applied in the development of complex models of biological pathways and systems
- In-depth, hands-on knowledge of modeling and simulation software (MATLAB, C/C++, julia preferred)
- Keen interest in learning new areas of biology and building on a solid foundation of quantitative and computational skills
- Self-directed with ability to work independently
- Team player
- Excellent communication and writing skills
- Primary authorship on relevant publications in peer-reviewed scientific journals
- Must be willing to relocate to Cambridge, MA, USA
Please submit both a cover letter and your CV when applying for this position.
For further inquiries regarding this position, please contact Nessy Tania (nessy.tania [at] pfizer.com).
INSIGHT FELLOWS PROGRAM
We’re now accepting applications from graduating students for our fall sessions.
*While Fellows can attend the program from anywhere, they will still interview for roles in their chosen program location. All eligibility criteria still applies. Visit our FAQ page for more information.
Apply to our fully remote fall session: https://apply.insightdatascience.com
What is Insight?
The Insight Fellows Program is a seven-week professional training fellowship for graduating students and working professionals looking to transition to thriving careers as data scientists, engineers, and other cutting-edge professionals. Insight takes a unique approach, working closely with partner companies to match Fellows with the hiring teams that represent the best fit for their skills and experience.
Gain a Network
Since 2012, Insight has helped over 3,000 Fellows transition to thriving careers in a variety of data and tech fields. By joining the Fellowship, you’re also joining an extensive community of industry leaders, and gaining connections to thousands of data and tech professionals from hundreds of companies. This is an investment in your future that pays dividends for years to come.
88% of Insight Fellows accept a job offer in their chosen field within 6 months of finishing the Fellows Program, and the median time to hire is 8 weeks.
The average starting base salary for Insight Fellows across all our locations is $126,000. Average bonus is $12,000, and almost all Fellows receive either equity or stock grants. The average stock grant for publicly-traded companies is $26,000 per year.
Insight alumni are now working at Facebook, LinkedIn, The New York Times, Apple, Airbnb, Netflix, Memorial Sloan Kettering Cancer Center, CVS Health, 23andMe, Bloomberg, NBC, Bosch, American Express, Microsoft, and 700+ other top companies.
Beyond the seven week program, Insight Fellows get access to a structured, highly-personalized post-program experience. This personalized post-program experience that we’re introducing as of Summer 2020, helps Insight Fellows get jobs 40% faster and earn $10,000-15,000/year more than the results quoted above. Learn more here.
Available Programs: Artificial Intelligence, Data Engineering, DevOps Engineering, Decentralized Consensus, Security, Data Science*, Health Data Science*,
*Please note that our programs are open to all degree levels, except our Data Science and Health programs, which have a PhD requirement.
Sessions will take place remotely, but Fellows will interview for jobs in the following cities:
San Francisco, New York, Boston, Seattle, Toronto, Los Angeles, Austin, Chicago, Denver, Portland, Washington DC
Upcoming Deadline & Start Date:
- Next application deadline: July 20, 2020
- Session begins: September 14, 2020
Want to learn more about Insight and our programs? Visit: https://www.insightfellows.com
Not ready to apply? Sign up for our notification list: https://notifiy.insightdatascience.com/notify
Questions? Email us at info [at] insightdatascience.com
NIH FUNDED POSTDOC TRAINING FOR UNDERREPRESENTED AND MINORITY PHD STUDENTS
NIH Funded Postdoc Training in Informatics, Genomics, Machine Learning, Artificial Intelligence, and Biomedical Data Science at Boston Children's Hospital
The Computational Health Informatics Program (CHIP) at Boston Children’s Hospital is now accepting applications for an NIH Funded Postdoc Training opportunity. The program has been committed to recruiting and retaining postdoctoral trainees who are URiM. We have maintained our commitment to diversity through prioritizing applications from diverse and disadvantaged backgrounds.
We are excited to announce the launch of LabShares Newton, the first collaborative laboratory and biotech incubator in Newton, Massachusetts. LabShares provides a fully equipped laboratory, office space, and shared services to entrepreneurial biotechs without the hassle, lag time, and high upfront costs associated with building and managing their own labs.
Through participation in the LabShares community, members receive a wide range of benefits and services. LabShares is conveniently located in a light-filled, modern office park near the Charles River -- just 15 minutes from Kendall Square with free parking, a gym, and a Fooda cafeteria.
LabShares is near capacity for its current space and has begun an expansion to double in size. We expect to open our newly renovated second floor in early 2019 and are accepting reservations now.
Check out the links below for more information. If you would like to schedule a tour contact Hannah Schram (jenna [at] labshares.com, 857-222-5817).
LabShares Upcoming Events
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
Clinical and Translational Research Course for PhD Students
Two-week intensive introductory course to demonstrate the role of PhD scientists in clinical and translational research, provide an overview and examples of how basic science and clinical observations lead to translational research, and increase awareness and access to Ph.D. role models, research resources, and potential career opportunities at the NIH. https://cc.nih.gov/training/phdcourse/index.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
Core Curriculum in Clinical Research
Free courses offered include: Introduction to the Principles and Practice of Clinical Research (IPPCR); Principles of Clinical Pharmacology (PCP); and Ethical and Regulatory Aspects of Clinical Research. These courses are offered as distance learning courses. https://cc.nih.gov/training/training1.html
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."