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Large Scale Data Analysis Towards Precision Medicine

National Cancer Institute, Bethesda, MD and surrounding area

Position Description:

About The Role:
Radiation Oncology Branch (NCI NIH) is accepting applications for students, post-masters or post-doctoral fellows who are interested in advancing cancer outcomes through large scale data aggregation and analysis. You will work with a small, innovative medical projects team on identifying clinically meaningful features of in house and publicly available large-scale data sets of all subtypes to address clinically challenging scenarios working towards improvement in patient outcomes.
 
About The Team:
The medical team at Radiation Oncology Branch functions within NCI NIH and consists of radiation oncology clinicians, researchers and fellows, medical physicists and student interns that collaborate on data driven oncology projects to deliver high-quality components and solutions for large scale data. As a key part of this small but focused team, you will work together with internal stakeholders and other NCI NIH branches to personalize management and advance the outcomes of patients with cancer in collaboration with our partners in other branches and specialties.
 
What You’ll Be Doing:
Depending on your interests and skill set you may have the opportunity to work on:
  1. Continue ongoing research involving the development of efficient approaches to spatial and nonspatial data.
  2. Maintain and improve the existing data repositories and play a crucial role in ensuring that the functionalities of the connectors are running smoothly and efficiently.
  3. Create new data analysis tools in C++, Python or Matlab to integrate with existing statistics and machine learning packages to enable the team to organize, house and integrate key data features towards computational approaches that involved clinical, imaging and genomic data sets.
  4. Research and integrate existing medical tools and creating workflows to automate processing of medical data to extract valuable and verifiable information that improves patient outcomes.
  5. Together with the team evaluate and fill gaps in the process.
  6. Publish original research in peer reviewed journals.
  7. Aid in supervision of undergraduate and medical students under Dr. Krauze`s supervision.

Qualifications:

We are seeking strong communicators with a passion for oncology and improving patient outcomes and an interest in leveraging large scale data towards this goal. Some of the primary skills and competencies that we are looking for include:
  1. Ideally 2+ years of experience working in cancer research or with large scale data at any level.
  2. Exceptional written and verbal communication skills
  3. Eager to learn new medical terminology, tools, data, and challenges in order to work toward solutions
  4. Great teamwork skills balancing working on projects independently while also collaborating with the team to solve problems
  5. A self-starter – able to set schedules, manage deadlines and risks to deliver on assigned projects
  6. Excellent planning, organizational and time management skills 
Assets for this position:
 
  1. 1+ years of experience developing in Python, with a working knowledge of machine learning and related tools and platforms and statistics.
  2. A Bachelor’s degree in Computer Science, Computer Engineering or related industry experience. 

To Apply:

Please send your CV along with the names of three references to:
 
Andra Krauze, MD
 
 
The NIH is dedicated to building a diverse community in its training and employment programs.  This position is subject to a background investigation. HHS, NIH, and NCI are Equal Opportunity Employers.