[bioundgrd] FW: Fully funded UK internships for MIT Bio students

[Joshua Stone]

Begin forwarded message:

From: Stephen Barnes <barness at mit.edu<mailto:barness at mit.edu>>
Subject: Fully funded UK internships for MIT Bio students
Date: January 19, 2022 at 11:38:38 AM EST


I run the MIT-UK program at MISTI, and I was wondering whether you might be interested in letting MIT Biology students know about some of our summer internship opportunities that they would be eligible for. We have a number of exciting biotech start-ups as well as more traditional research partners in the UK who are looking to work with MIT students this summer.

All of these internship opportunities are fully-funded. The companies and project descriptions are linked below. Any students who are interested can reach out to me directly.

Many thanks,

Stephen



Oxford Nanoimaging (ONI):<https://oni.bio/> Biotech company working on super-microscopy technology. Business development and market research project<https://drive.google.com/drive/u/0/folders/1kq7L4MdCJd5jEwggR0uDBiOQ3S1b93iN>.

Congenica: Digital health company enabling genomic medicine through AI and Data Science. Projects in AI and ML, for juniors and above fluent in Python and with previous ML UROP/internship experience.<https://www.congenica.com/>

OMass Therapeutics<https://www.omass.com/>: Bioinformatics drug discovery project<https://drive.google.com/drive/u/0/folders/1piiMvrnX0-Vfw0GiHEhTaEw3FhXy4aaK>

Eagle Genomics<https://www.eaglegenomics.com/>: 4 different projects<https://drive.google.com/drive/u/0/folders/1zPfBSL26Q9kyntiiXYxuyAdENW9CoA5r> in data science, biology, biodata, and bioinformatics at London-headquartered genomics company, with operations in Cambridge

Alder Hey Children’s Hospital Innovation Hub (NHS):<https://www.alderheyinnovation.com/> ML project to calculate predicted discharge<https://drive.google.com/drive/u/0/folders/1KvtTDutoJxagKoj9DWTEywDTgEfmLCfz> date of patients (in partnership with University of Liverpool).

Open Targets<https://www.opentargets.org/>: human genetics and genomics data for systematic drug target identification and prioritisation. Two projects available<https://drive.google.com/drive/u/0/folders/1Kt5Yj_zUWxZnIA-rAKRYgZJtnf3sxdRz>, working with Prof. Gosia Trynka from the Sanger Institute.

Research project<https://drive.google.com/drive/folders/1H0i0ausDYE9JI3BB_1SjOWlARk8rLm0J> from Imperial College London’s school of public health. The Chindelevitch Lab<https://www.imperial.ac.uk/people/l.chindelevitch> focuses on preventing the threat of antimicrobial resistance by leveraging mathematics, data science and machine learning as they apply to biological and epidemiological data.

Centre for Process Innovation<https://www.uk-cpi.com/>: multiple projects<https://drive.google.com/drive/u/0/folders/1IhW1ioWZmEfOxwZgasYGZIqqPZsmGvTp> in Materials, ChemEng, BioEng, BioChem, Data Science; MrNA; Nanopharmaceuticals.

Costello Medical<https://www.costellomedical.com/>: scientific consulting projects for medical, biotech, pharmaceutical industry. Apply directly through their website<https://apply.workable.com/costello-medical/j/2BFDAABF6B/> after discussing with Stephen. Deadline: Jan 23rd.


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