Below is a list of jobs, internships, and grants available to anyone with a background in computation science. Any questions in regards to these listings should be directed to the employer.

2020 Repperger Summer Research Internship Program

Opportunity: The Repperger Research Intern Program is a 10-week educational experience, providing research opportunities for students at one of two Air Force research facilities under the mentorship of an Air Force scientist.

Program Dates: June 1 – August 7, 2020 (arrive May 31 – depart August 8)

Locations: Wright-Patterson AFB, Dayton, Ohio or Fort Sam Houston, San Antonio, Texas

Deadline: January 31, 2020 at 8:00 a.m. EST.

Program Overview: The Repperger Research Intern Program is a 10-week educational experience, providing research opportunities for students at one of two Air Force research facilities under the mentorship of an Air Force scientist. This program posthumously honors Dr. Daniel W. Repperger, who mentored many young people during his 35 year research career with the Air Force Research Laboratory. Scientists have been hand selected to mentor, because of their technical knowledge, experience, and willingness to help science and engineering students enhance their learning through participation in an actual Air Force research project. The available research opportunities span nearly all STEM fields, from Biology, Mathematics, Computer Science, Cognitive Science, Kinesiology, Physics and many more areas of study. Along with gaining first-hand research experience, students will learn the inner workings of an operational laboratory and develop contacts and friendships that will last a lifetime.

The U.S. Air Force Research Laboratory (AFRL) leads the discovery, development and integration of affordable warfighting technologies for America’s air, space and cyberspace forces. AFRL is a full-spectrum laboratory, responsible for planning and executing the Air Force’s science and technology program. AFRL leads a worldwide government, industry and academic partnership in the discovery, development and delivery of a wide range of revolutionary technologies. The laboratory provides leading edge warfighting capabilities keeping our air, space and cyberspace forces the world’s best.

The 711th Human Performance Wing advances human performance in air, space, and cyberspace through research, education, and consultation, accomplished through the synergies created by the wing’s three distinct but complementary entities: U. S. Air Force School of Aerospace Medicine, Human Systems Integration Directorate and Airman Systems Directorate. For more information about the Air Force Research Laboratory, visit Air Force Research Lab.

Funding: $12,000 for 10-week period

Application Requirements:

  • Be a U.S. citizen (evidence of U.S. citizenship must be submitted to ORISE at the time appointment is accepted)
  • Be enrolled as an undergraduate or graduate student at an accredited institution of higher education during the 2019-2020 academic year. Applicants must provide proof of enrollment during the Fall 2019 term at the time of application. Candidates selected for an internship appointment will be required to provide proof of enrollment during Winter/Spring 2020
  • Be pursuing a degree in a science, technology, engineering or mathematics (STEM) discipline.
  • Have a cumulative GPA of 2.50 or higher on a 4.00 scale as of Fall 2019.

How to Apply:

  • All required fields in both the profile and application form. Within the application, you may select up to five research opportunities for consideration. The opportunity locations vary between Dayton, OH and San Antonio, TX. Please review the “STUDENT LEVEL/DISCIPLINE NEEDED” on each research opportunity as locations and desired educational background vary.
  • Transcripts – Unofficial transcripts may be submitted. Transcripts must include name of the academic institution, name of the student, completed coursework and grades through Summer 2019 and courses in progress/completed during Fall 2019.
  • A current resume/Curriculum Vitae
  • Two academic recommendations completed by either faculty adviser or school faculty received by February 7, 2020, 8:00 a.m. EST

Other Important Information:

  • Incomplete applications will not be considered.
  • Submitted documents must have all social security numbers, student identification numbers, and/or dates of birth removed (blanked out, blackened out, made illegible, etc.) prior to uploading into the application system.
  • All documents must be in English or include an official English translation.

If you have questions, send an email to

Apply Here

National Cancer Institute, The National Institutes of Health

Opportunity: NCI-sponsored Systems Biology and Physical Oncology Undergraduate Summer Research Program

Program Dates: June 2020 through August 2020

Location: Multiple opportunities are available at 14 research institutions across the United States

Deadline: February 7th, 2020

Program Overview: The National Cancer Institute’s (NCI) Cancer Systems Biology Consortium and Physical Sciences in Oncology Network are offering rising Junior and Senior undergraduates with outstanding research potential the opportunity to work closely with faculty mentors from NCI-supported institutions. The program is designed specifically for students who wish to gain experience in the interdisciplinary fields of systems biology and physical oncology. Students who are especially interested in cancer research careers are encouraged to apply. Opportunities are available at 14 research institutions across the United States.

Each student participant will be working with a faculty mentor whose lab is pursuing a multi-disciplinary approach to cancer research. Projects include experimental and computational studies of the mechanisms underlying cancer processes. Systems biology and physical oncology approaches to cancer research often bring together disparate fields, such as cancer biology, biochemistry, and genetics, with engineering, physics, mathematics, and computer science. Students will either assist the faculty member’s lab in an ongoing research project or work collaboratively with the mentor and/or lab members on a new project of mutual interest.

In addition to performing research at their selected institution, students will have the opportunity to travel to the NIH campus in Bethesda, MD for a two-day undergraduate research conference. The conference will include a scientific poster session, career mentorship keynote talks, and the opportunity to meet other students from around the country. The summer program will also feature weekly webinars centered around collaborative activities that will introduce and improve research skills.

Funding: The NCI Systems Biology and Physical Sciences in Cancer Summer Research Program provides housing at each institution for up to 10 weeks, travel to and from the research location and the NIH summer undergraduate research conference, as well as a stipend to cover living expenses.

Application Requirements:

  • Open to Rising Junior & Senior Undergraduates
  • Applicant must be currently enrolled in an accredited U.S. college or university
  • Applicant must be eligible to work in the United States

Apply here


Opportunity: Senior Scientist in Deep Data Analytics 

Location: Cambridge, MA, United States

Qualifications & Requirements:

  • Apply artificial intelligence and machine learning approaches (e.g. classification, clustering, artificial neural networks, deep learning) on clinical data sets (biomarker profiles, genome-wide datasets, medical imaging data, continuous data from wearable devices)
  • Support patient classification by generating hypothesis for biomarkers to identify treatment responders, align with biostatisticians for hypothesis validation
  • Update and report relevant results to interdisciplinary project teams and stakeholders
  • Develop and maintain strong working relationship with other modeling groups within TI organization, as well as with biostatisticians outside of the TI organization.
  • Maintain a keen awareness of developments in data technologies, analytics, methods and systems especially for AI&ML approaches for the analysis of clinical data, special interest for analysis on data from wearable devices and imaging data
  • Evaluate and coordinate academic collaborations and outsourcing partners (CROs) in area of application of AI&ML for clinical data analysis, in particular for analysis of data from wearable devices and imaging data

Qualifications & Requirements:

  • An MS or PhD in a field related to Data Analytics, AI or Machine Learning such as: Computer Science, Mathematics, Statistics or Physics
  • 3+ years experience in in the pharmaceutical industry with a strong record of accomplishments and experience in evaluation, development and application of AI&ML approaches
  • Familiarity with Deep Learning techniques, various network architectures (CNNs, GANs, RNNs, Auto-Encoders, etc.), regularization, embeddings, loss-functions, optimization strategies, or reinforcement learning techniques such as REINFORCE, DQN, PPO, etc.
  • Familiarity with one or more typical deep learning or reinforcement learning frameworks: TensorFlow, Keras, Caffe, MxNet, TORCH, OpenAI Gym, Keras-RL etc.
  • Good knowledge of R, Python and MATLAB
  • Knowledge of Extract, Transform and Load (ETL) frameworks
  • Knowledge of Enterprise Data Warehouse (EDW) and data management systems
  • Specific knowledge & experience in one or more of the following would be a plus: image analysis, natural language processing, automated document generation, reinforcement learning, control theory, knowledge representation (semantic models, graph databases, etc.), distributed systems and high-performance computing methods.
  • Demonstrated leadership experience and demeanor to spearhead implementation of novel data science-related methods

Apply here

The Simons Foundation Flatiron Research Fellow, Developmental Dynamics, Center for Computational Biology

Location: This position will be based, and have a principal office or workspace, at the foundation in New York City.

Program Overview: The primary mission of the Center for Computational Biology is to create new computational frameworks that will enable scientists to analyze the large and complex data sets that are being generated by new experimental technologies.  Tremendous opportunities for discovery are emerging in the biological and biomedical sciences, as well as in traditional physical and social sciences, but they will require the combined power of theory, data analysis, and simulation. In the biomedical sciences, for example, researchers are being confronted by an explosion of information from genome sequencing, gene expression profiling, proteomics, multi-electrode recording, and multiple high-resolution imaging modalities.  The focus remains on problems arising in biophysical modeling, genomics, neuroscience, and structural biology, collaborating closely with experimental colleagues.

Reporting to the Group Leader for Developmental Dynamics in the Flatiron Institute’s Center for Computational Biology, the Flatiron Research Fellow will be responsible for the following: data-driven biophysical modeling of spatiotemporal processes in developing embryos; processing and statistical analysis of multimodal imaging data; formulation and application of dynamical systems and machine learning strategies to reconstruction of developmental trajectories; formulation, analysis, and application of computational approaches to detection of developmental defects; design of numerical methods for accurate and efficient simulation of tissue patterning and morphogenesis, using continuum and discrete modeling approaches. Flatiron Research Fellows are generally two year-appointments, and can be renewed for a third year, contingent on performance.

Qualifications & Requirements:

  • Developing new methods for integrating and analyzing spatially resolved data in all modalities of the central dogma using current state of the art technologies;
  • Coordinating efforts across different groups within CCB, the Flatiron Institute, as well as external institutes and universities;
  • Actively participating in the preparation of manuscripts for publication and present at scientific conferences;
  • Assisting in peer- and student-mentorship; and,
  • Sharing expertise and providing training and guidance to group members as needed.

Application Requirements:

  • Ph.D in applied mathematics, biostatistics, computational biology, computer science, engineering, physics, or related disciplines.
  • At least 3 years of experience in computational science
  • Exceptional abilities in analysis, software and algorithm development, modeling and/or scientific simulation
  • Prior experience with numerical optimization, dynamical systems, and time series analysis
  • In-depth understanding of modern high-throughput technologies in the life sciences required;
  • At least 3 years of experience in computational science
  • Exceptional abilities in analysis, software and algorithm development, modeling and/or scientific simulation
  • Prior experience with numerical optimization, dynamical systems, and time series analysis
  • In-depth understanding of modern high-throughput technologies in the life sciences required;
  • Prior experience with Bayesian inference, network inference and image analysis are preferred, but exceptionally creative and driven scientists with an interest will be seriously considered;
  • Strong oral and written communication, data documentation, and presentation skills required;
  • Ability to handle multiple projects at the same time required; and,
  • Excellent collaborative and interpersonal skills required.

Apply here

The Data Incubator

Opportunity: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists.

Program dates:

Locations: In addition to the below in-person locations, we will have a remote online session:
New York City
San Francisco Bay Area
Washington, DC.

Deadline: February 11, 2020

Program Overview: The Data Science Fellowship Program from The Data Incubator is one of the most rigorous, intensive programs available today. Designed to create the data scientists of tomorrow from qualified STEM academics, this full-time, eight-week program provides the skills needed to succeed in the “best job in America.” Apply today to learn the most in-demand tools and programs from leading data scientists with years of experience at some of the world’s most innovative companies and universities. Become an expert in Python, Spark and TensorFlow while refining your coding and deployment abilities. By the end of the program, you’ll have the skills and tools you need to become one of the leading data scientists of the future.

Funding: Scholarships are available to highly-qualified, exceptional candidates. Put your best foot forward in your application for a chance to earn one of our coveted full scholarships.

Costs: In-person (NYC, SF, DC) – $17,000. Online Cost – $9,000
Discounts available for students who pay their tuition in advance.

Application Requirements: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session

Apply Here

Janelia Theory Fellow Program

Opportunity: The Janelia Theory Fellow Program. A program for early-career scientists with exceptional promise in mathematics, physics, computer science, and engineering.

Program Dates:

Location: Janelia Research Campus, 19700 Helix Dr, Ashburn, VA 20147

Deadline: Wednesday, April 1, 2020

Program Overview: The Computation & Theory (C&T) group at Janelia invites applications for the newly created Janelia Theory Fellow program. Our group brings together expertise in computational and mathematical biology, machine vision and learning, and theoretical neuroscience. We tackle fundamental questions in biology by maximizing the insight extracted from biological data and closing the loop between theory and experiment.

The Theory Fellow program aims to attract early-career scientists with exceptional promise. Fellows are expected to think independently yet have a keen interest in contributing to the interdisciplinary research environment at Janelia. They will be mentored by one or more C&T group leaders, collaborate broadly within the C&T group, and have the opportunity to initiate collaborations with experimental groups, with the goal of testing their ideas by guiding the design and execution of new experiments. HHMI and Janelia have a strong commitment to diversity and inclusion.

Funding: Fellows are granted a generous computer and travel budget, access to state-of-the-art computational infrastructure, and a competitive salary and benefits.

Application Requirements: Applicants with a strong quantitative background in mathematics, physics, computer science, and engineering — including newly minted PhDs — are encouraged to apply. Appointments are made for a term of 3 years.

Apply here

BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed)

  • Due Date: September 3rd, 2019

Enabling Technologies to Accelerate Development of Oral Biodevices

  • Due Date: September 5th, 2019

Advancing Imaging, Device Production, and Clinical Capabilities in Digital Dentistry

  • Due Date: September 5th, 2019

Simulation Modeling and Systems Science to Address Health Disparities (R01 Clinical Trial Not Allowed)

  • Due Date: September 8th, 2019

Fiscal Year (FY) 2020 Department of Defense Multidisciplinary Research Program of the University Research Initiative N00014-19-S-F005

  • Due Date: September 13th, 2019

Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences

  • Due Date: September 18th, 2019

NIH HEAL Initiative Funding Announcements and Opportunities

For other upcoming funding opportunities visit the Funding Opportunities Page on the IMAG Wiki.