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Regarding the position
Concerning Appsilon
With Fortune 500 clients worldwide, Appsilon is a forward-thinking, rapidly expanding software company and consulting firm that specializes in machine learning and activities support systems. Our unique company is motivated by the desire to improve society and the environment.
Companies of various sizes utilize R and Shiny, which we are a worldwide leader in, to create data applications. Businesses turn to Appsilon when they want to start large-scale corporate initiatives or when they encounter challenging issues.
Please read our code of conduct before applying.
Every few months, we take on new projects and discover new universes. We discover the trade secrets of retail chain marketing one day, examine satellite imagery the next, and then evaluate really fascinating data from the home market. Our projects provide us the chance to understand firsthand how many different sectors operate in addition to testing our abilities in challenging statistical, computational, and technological difficulties.
We are now seeking a new R/Shiny Developer with a background in life science to join our team because we are expanding quickly.
We anticipate that:
. you will be proficient in R.
.Knowledge of requirements gathering and backlog management;
. proficiency with Git and other version control systems;
. ability to handle, evaluate, and display biological data, especially clinical data;
. proficiency with R/Shiny or JavaScript for creating websites or web apps;
. and familiarity with creating and managing R packages
. PhD in bioinformatics or a similar field (such as computer science, data science, biostatistics, or mathematics) or comparable professional experience
. If you are based in Poland, you have a valid ID; if you are based outside of Poland, you have a valid passport.
We would also value the following:
. Knowledge of basic molecular biology and bioinformatics concepts;
. proficiency with bioinformatics tools and databases (e.g., Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed);
. proficiency in designing and maintaining reproducible data processing pipelines (e.g., Nextflow);
. proficiency in applying data science approaches (data engineering, machine learning) to business problems;
. and the capacity to use sophisticated JavaScript to create aesthetically striking applications.
. Understanding and proficiency with Shiny's advanced mechanisms, such as bindings, register DataObj, performance, promises, single-threading, etc.
. familiarity with cloud computing platforms (AWS, Azure, GCP)
. familiarity with database management systems like MongoDB, MySQL, or PostgreSQL
. Experience working with scientists and conducting clinical studies
Benefits include:
. Up to 25.200PLN/month + VAT on a B2B contract (up to $5650/month);
. please refer to our career path document for information on salary levels and systems;
. 26 paid holidays plus an estimated 13 days of Polish public holidays in 2024;
. +5% of salary in Professional Development Budget to spend on growth-promoting activities;
. 33 days (paid 80%) of sick leave annually on B2B;
. 4 paid days annually for training, conferences, events, or workshops;
. a remote work-first culture with flexible work schedules to accommodate your family;
. and private health insurance for you and your relatives
. You and your family should get life insurance.
. Membership card for FitProfit or FitSport (in Poland)
. Large Polish cities are ideal for AskHenry, a personal assistant that only offers online assistance elsewhere.
. The chance to collaborate with well-known companies and observe how data science is applied
. Possibility of becoming a self-sufficient Shiny specialist in the data science field
We encourage applicants from a variety of backgrounds, cultures, genders, experiences, abilities, and perspectives to apply; all qualified candidates will be given consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time unemployed. What to expect during the recruitment process includes: screening call, home assignment, tech interview, domain knowledge, and culture fit interview (you can read more about our values here: https://appsilon.com/careers/).