R Developer with Life Science Background

June 26

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Appsilon

Data Science and Machine Learning Solutions for Fortune 500 Companies

Data Science • Software Development • Machine Learning • Technology • Deep Learning

51 - 200

Description

• Every few months, start new projects diving into a new world analyzing satellite images, and getting super interesting data from the residential market for analysis • Projects are an opportunity to test skills in difficult statistical, algorithmic, and technological problems, and learn how many different industries work from the inside • Growing fast, looking for a new R/Shiny Developer with a Life Science Background to join the team • Opportunity to work with Fortune 500 clients across the globe on innovative projects

Requirements

• Proficient in R • Experience in processing, analyzing, and visualizing biological data • Experience with version control systems such as Git • Experience in building web applications or websites using R/Shiny or JavaScript • Experience in creating and maintaining R packages • Experience in requirements gathering and backlog management • Master’s degree in bioinformatics or a related discipline (e.g., computer science, data science, biostatistics, mathematics) or equivalent work experience

Benefits

• 26 days of paid holidays + an equivalent of public holidays in Poland, est. 13 days in 2024 • +5% of salary in Professional Development Budget to spend on activities that help you grow • 33 days (paid 80%) per year on B2B when on a sick leave • 4 paid days per year to be used for training/conferences, events, or workshops • Remote work-first working culture with flexible working hours to adjust to your family life • Private health care insurance for you and your family • Life insurance for you and your family • FitProfit or FitSport membership card (in Poland) • AskHenry – a personal assistant works great in large Polish cities, elsewhere limited to online support • Opportunity to work with prestigious brands where you can see how data science is used • Opportunity to develop yourself as an independent Shiny expert in a data science community

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