SOPHiA GENETICS is aware that individuals not affiliated with our company have used our name, employee names, and branding to run fraudulent recruitment schemes, including fake interviews and job offers.
SOPHiA GENETICS never requests payment, equipment purchases or banking details from candidates at any stage of recruitment. All genuine communication from our recruiting team comes exclusively from @sophiagenetics.com email addresses, or verified profiles.
If you have been contacted by someone claiming to represent SOPHiA GENETICS and are unsure whether the communication is genuine, do not share any personal or financial information, and contact us at recruitment@sophiagenetics.com to verify before responding further.
SOPHiA GENETICS accepts no responsibility for losses arising from engagement with parties fraudulently impersonating the company.
What if your internship project could influence how genomic variants are detected in a real clinical technology?
At SOPHiA GENETICS, we are building the future of AI-assisted, data-driven medicine. Our technology helps healthcare professionals make sense of complex multimodal data, with the ambition of improving outcomes for patients with cancer and rare diseases.
Behind that mission are some difficult scientific and computational questions.
One of them is this: how do we make sure our algorithms identify complex genomic variants as accurately and efficiently as possible?
That is where you come in.
Join our Data Science – Algorithm Development team in Rolle, Switzerland, for a six-month internship as a Junior Algorithm Developer.
You will work on a real challenge within our Whole Genome Sequencing (WGS) product: benchmarking our in-house structural variant (SV) calling solutions against leading external tools for germline variant calling.
The evidence you generate will help our team understand where different approaches perform well, where they do not, and ultimately inform decisions about how our WGS technology should evolve.
You will get hands-on with genomic data, algorithms and production-scale computational infrastructure.
You will:
Requirements
You might be studying bioinformatics, computational biology, computer science, statistics or a related field. You do not need to arrive knowing everything about structural variant calling - we care just as much about how you think and how quickly you learn.
You will probably enjoy this internship if:
Benefits
Six months from now, we want you to leave knowing considerably more than when you arrived.
You will learn how an end-to-end NGS data-analysis workflow is built and used in an industrial setting, develop a deeper understanding of state-of-the-art structural variant calling tools and algorithms, and gain practical experience designing a rigorous benchmarking study.
More importantly, you will see how scientific evidence becomes a product decision.
You'll work in an environment where genomics, data science, AI and cloud technologies come together, alongside people solving these problems every day.
Company-wide events and activities - take part in company events, Town Halls, internal initiatives and social activities alongside the rest of our employees.
All our internships and apprenticeships are paid, with compensation aligned with local market practices and standards.
Location: Rolle, Switzerland
Start: As soon as possible
Contract type: Internship contract, full time, 6 months.
Apply with your CV and any supporting information you'd like us to consider.
Selected candidates will meet members of our Talent Management Coordinator, the hiring leader and relevant colleagues and stakeholders during the interview process.
English is our primary working language, so please submit your CV in English.
Recent blogs & articles related to this role
This website uses cookies. We use cookies to personalise content such as job recommendations, and to analyse our traffic.
If third-party cookies such as social networks add:
We also share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information you've provided to them or that they've collected from your use of their services.
You consent to our cookies if you click "I Accept".
If you click on "I Do Not Accept", then we will not use cookies other than necessary but you may have a deteriorated user experience. You can change your settings by clicking on the Candidate Settings link on the top right of the device.
Please view our privacy policy here.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookie we will not know when you have visited our site, and will not be able to monitor its performance.