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Computational Biology Internship at Microsoft Research (2020)

Our Biological Computation group in Cambridge is developing theory, methods and software for understanding and programming information processing in biological systems. Our research currently focuses on three main areas: Molecular Programming, Synthetic Biology and Stem Cell Biology. We need someone who can develop and apply computational methods to help us transform our experimental data into a mechanistic understanding of biological processes, helping create the foundations of a platform for programming biological systems.

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Microsoft Research in Cambridge, UK is leading the way in applying techniques from diverse fields such as biology, machine learning, human-computer interaction, systems, security and programming languages to explore new domains of research in areas such as healthcare, cloud computing, and programming biological systems.

We are looking for an intern to join us in the last of these. Our Biological Computation group in Cambridge is developing theory, methods and software for understanding and programming information processing in biological systems. Our research currently focuses on three main areas: Molecular Programming, Synthetic Biology and Stem Cell Biology. We need someone who can develop and apply computational methods to help us transform our experimental data into a mechanistic understanding of biological processes, helping create the foundations of a platform for programming biological systems.

There is no closing deadline for this post. The post will be filled once suitable candidates are found so if you are interested please apply as soon as possible.

Responsibilities

Integrate experimental data from the MSR lab or from external collaborators. Develop mechanistic models using the biological modelling tools developed at MSR and extend the computational methods when needed. Apply inference methods to constrain model parameters against experimental data.

 

Qualifications

Computational modelling of biological systems, data handling and processing; Experience with software development and functional programming languages such as F# would be an advantage

 

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. 

 

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About

The Synthetic Biology Strategic Research Initiative provides a hub for anyone interested in Synthetic Biology at the University of Cambridge, as well as commercial partners and external collaborators.