Sales and Marketing Student

Salary Competitive

Sales and marketing student

Are you interested in sales and marketing? Does the idea of working at a smaller AI start-up excite you?  Do you have trust in science, and do you want to help us revolutionize the speed of creating scientific evidence, fight fake news, and increase evidence-based innovation? Then you might be the student we are looking for!

We are looking for a part time student for marketing and sales to help Silvi.ai on the next step of our business journey.

 

Who is Silvi.ai? Silvi.ai is a software platform which summarizes scientific evidence in a fast and scientifically rigorous way using machine learning and artificial intelligence. More specifically, the Silvi.ai platform enables faster and fully updated systematic literature reviews to support evidence generation by scientists. We need you to help us spread that message and increase our sale.

 

What will you do?

 

Your primary goal will be to encourage the use of our software license. Silvi.ai is currently sold both to Pharma companies, health authorities, universities, and to individual scientists and students. We need you to help us spread that message and increase our sales.

 

·       You will be involved in all parts of the sales and marketing processes from Market Research to contacting potential customers.

·       You will lead our market research and sales analyses.

·       You will develop and maintain our homepage and SoMe accounts.

·       You will contribute to the further development of our sales strategy globally.

·       You will support our direct contact and sale to potential customers.

·       You will support a holistic approach to marketing and sales of our license.

 

 

Who are you?

  • You have a couple of years left of your studies in business administration, marketing, or sales at CBS, UCPH, KEA, or a similar institution.

·        You have a sea of ideas and the ambitions and confidence to go through with them.

·        You may have experience from a similar position or have worked with marketing and sale of licenses before.

  • You understand and communicate fluently in both English and Danish.

·        You are comfortable with the large amount of independence which comes from working in a start-up where everybody’s contribution is super important.

·        You live within commuting distance to our office in Islands Brygge, Copenhagen

·        You enjoy following a task from beginning to end and you don't stop until the task is done.

·        You love to laugh with your colleagues at the office.

·        You have a global view on business and want to understand many different markets.

 

We offer you:

·       10-20 hours a week

·       A company culture with huge freedom, no micromanagement, and 100% focus on results.

·       A company where we have a clear vision on ‘doing good’ by improving the availability of scientific evidence.

·       A "family first" company culture where a good work-life balance is a priority, with room for flexible hours around exams etc.

·       A diverse company at its core that celebrates all ages, genders, geographies, and qualifications.

 

Salary: Starting salary 170 DKK an hour, depending on your qualifications

Preferred start: as soon as possible.

Silvi.ai is based at Islands Brygge in Copenhagen, where you will be expected to spend most of your working hours. You can read more about Silvi here: silvi.ai

 

Application and contact Send an application and a CV here on The Hub. For further information call CEO Tove Holm- Larsen at the number below.

Deadline for application: October 6th 2023

For more information or questions please contact us at dch@silvi.ai or phone number +45 30 30 55 26

Perks and benefits

This job comes with several perks and benefits

Near public transit
Near public transit

Free office snacks
Free office snacks

Paid holiday
Paid holiday

Remote work allowed
Remote work allowed

Social gatherings
Social gatherings

Free coffee / tea
Free coffee / tea

See all 10 benefits

Working at
Silvi.ai

Silvi is an end-to-end screening and data extraction tool supporting Systematic Literature Review and Meta-analysis. Silvi.ai was founded in 2018 by Professor in Health Economic Evidence, Tove Holm-Larsen, and expert in Machine Learning, Rasmus Hvingelby. The idea for Silvi stemmed from their own research, and the need to conduct systematic literature reviews and meta-analyses faster. The ideas behind Silvi were originally a component of a larger project. In 2016, Tove founded the group “Evidensbaseret Medicin 2.0” in collaboration with researchers from Ghent University, Technical University of Denmark, University of Copenhagen, and other experts. EBM 2.0 wanted to optimize evidence-based medicine to its highest potential using Big Data and Artificial Intelligence, but needed a highly skilled person within AI. Around this time, Tove met Rasmus, who shared the same visions. Tove teamed up with Rasmus, and Silvi.ai was created. Silvi uses AI to increase the speed of collecting and analyzing published data to created meta-analyses and systematic literature reviews. When using Silvi, the researcher still makes all the scientific decisions, but with AI supporting data extraction, the speed of doing meta-analyses increases immensely. Silvi is directly connected to literature engines to ensure that the results are always up to date. These core qualities of Silvi ensures a tool that quickly helps you create high quality evidence that stays relevant. Silvi helps create systematic literature reviews and meta-analyses that follow Cochrane guidelines in a highly reduced time frame, giving a fast and easy overview. It supports the user through the full process, from literature search to data analyses. Silvi is directly connected with databases such as PubMed and ClinicalTrials.gov and is always updated with the latest published research. It also supports RIS files, making it possible to upload a search string from your favorite search engine (i.e., Ovid). Silvi has a tagging system that can be tailored to any project. Silvi is transparent, meaning it documents and stores the choices (and the reasons behind them) the user makes. Whether publishing the results from the project in a journal, sending them to an authority, or collaborating on the project with several colleagues, transparency is optimal to create robust evidence.

Read more about Silvi.ai

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