Research Intern - Genomic and Multiomic Modeling

Last updated one month ago
Location:Redmond, Washington
Job Type:Full Time

Virtual Internship

Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship.

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers. Our researchers and engineers pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

Our organization, Microsoft Health Next, is an interdisciplinary team of scientists, engineers, and medical doctors. We offer a unique vibrant environment that features cutting-edge academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup.

The setting for this internship is the exponential increase in available genotypic and phenotypic data and its implications on the future of medicine. Human genome sequencing and the advent of big data heralds a new era of precision healthcare, where medicine is tailored to individuals, reducing cost, suffering, and missed treatment opportunities. Bioinformatics and machine learning can play a key role in this transformation by discerning knowledge from data and separating signal from noise.

We are specifically looking for a research intern with expertise in genomic association studies, i.e., taking whole genome sequencing data from a large cohort of case/control individuals and seeking markers indicative of disease. The goal of this work would be to extend this type of analysis to multiomic data, using both genotypic and phenotypic data to identify more precise markers of disease, to estimate severity of disease from features, or to model common disease trajectories. We are seeking self-motivated individuals who want to be involved at every stage in the process, from problem formulation to data exploration to model development to analysis and presentation.

#healthcare #healthfutures #msfthealthcare

Responsibilities

Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life. Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, students are paired with mentors and expected to collaborate with other interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

An ideal candidate would have experience working with large genomic datasets, and be sufficiently well versed in data science and related computational tools to build models from such data. Experience working with phenotypic data (EMR, claims data, etc.) would be a plus but is not required.

Qualifications

In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Required Qualifications

  • Must be enrolled in a graduate program in Bioinformatics, Biostatistics, Genetics, Genomics, Bioengineering, Biology, Computer Science, or a related field.
  • Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship

Preferred Qualifications

  • Experience working with genomic data
  • Experience working with genomic association studies
  • Experience with data science
  • Experience with programming (ideally Python)

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.