{"id":2450,"date":"2022-02-10T12:27:54","date_gmt":"2022-02-10T12:27:54","guid":{"rendered":"https:\/\/ukqsar.org\/?p=2450"},"modified":"2022-09-25T20:56:15","modified_gmt":"2022-09-25T19:56:15","slug":"job-opportunity-at-turbine-ai-budapest","status":"publish","type":"post","link":"https:\/\/ukqsar.org\/index.php\/2022\/02\/10\/job-opportunity-at-turbine-ai-budapest\/","title":{"rendered":"Job opportunity at Turbine AI, Budapest"},"content":{"rendered":"\n

Principal Scientist, Computational Chemistry<\/strong>, Turbine<\/strong> AI<\/strong>;
Job location: Budapest <\/em>;<\/p>\n\n\n\n

Starting date Q2 2022<\/em>;<\/p>\n\n\n\n

Status: Full-time <\/em>;<\/p>\n\n\n\n

Industry Biotechnology, Pharmaceutical<\/em><\/p>\n\n\n\n

Contractual status: Employee<\/em>;<\/p>\n\n\n\n


Turbine AI is a foremost innovative start-up company deploying AI technologies to push the boundaries of next generation drug discovery. We welcome candidates who are willing to develop cutting-edge ideas for our newly formed in vitro laboratory thereby contributing to the diversity and excellence of our community.<\/p>\n\n\n\n

About the role<\/em><\/strong>
You\u2019ll join our Drug Discovery Team that is responsible to run Turbine’s drug discovery efforts. As a principal scientist in computational chemistry, you\u2019ll be working with medicinal chemists and biologists to support the design of novel bioactive molecules and future potential drugs. <\/p>\n\n\n\n

You\u2019ll be actively supporting the target prioritization process with your structural biology skills in order to select the most promising targets for modulation.<\/p>\n\n\n\n

Your tasks will also include using various computational tools for running virtual screening campaigns (both ligand-based and structure-based), compound property prediction, and assessing new cheminformatics software regarding their potential impact on drug discovery workflows at Turbine.<\/p>\n\n\n\n

Key responsibilities<\/strong><\/em>
\u2022 Work effectively in a multidisciplinary team to evaluate and prioritize new disease targets using computational and in particular binding site detection methods (based on both experimental and predicted protein structural information)
\u2022 Apply ligand-based and structure-based drug design approaches at all stages of the drug discovery pipeline
\u2022 Develop computational methods and workflows to support drug discovery projects
\u2022 Interact proactively with the medicinal chemistry team as well as external organizations to drive compound design
\u2022 Evaluate new computational techniques for applicability in company processes
\u2022 Documentation of work in written form, and oral presentation of results<\/p>\n\n\n\n

What we offer<\/strong><\/em>
\u2022 Cutting-edge in vitro target validation technology \u2013 with potential of publishing
\u2022 Unique in silico-in vitro bioplatform
\u2022 Place to develop and materialize own ideas, with creativity being the only limiting factor
\u2022 Dynamic interdisciplinary and international team of biologists, MDs, data scientists, developers and world class scientific advisory board
\u2022 Competitive salary (EUR\/HUF) and support for professional development
\u2022 Relocation package if needed<\/p>\n\n\n\n

About you<\/strong><\/em>
\u2022 Degree in a life science or computer science discipline (PhD preferred)
\u2022 Post-degree experience in a crossfunctional drug discovery environment (preferably in pharmaceutical industry) applying various methods of computeraided drug discovery to advance drug discovery projects
\u2022 Experience with state-of-the-art modelling techniques and software packages
\u2022 Broad understanding of chemical, biological and pharmacological data
\u2022 Ability to communicate compound design ideas and strategies fluently and clearly
\u2022 Able to work within a multi-disciplinary team to define a path forward
\u2022 Excellent communicator, especially when working with colleagues from other specialities
\u2022 Ability to work alone and mentor others, results-oriented thinking-
\u2022 A habit to create comprehensible but scientifically accurate documentations
\u2022 People management experience either in the academia or in the industry
\u2022 A strong external network of contacts across industry and academia to engage in ideas and knowledge share<\/p>\n\n\n\n

If you are interested in this offer, please apply on our website:<\/strong>
https:\/\/turbineai.typeform.com\/to\/FNMZLTP7<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Principal Scientist, Computational Chemistry, Turbine AI;Job location: Budapest ; Starting date Q2 2022; Status: Full-time ; Industry Biotechnology, Pharmaceutical Contractual<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[3],"tags":[],"class_list":["post-2450","post","type-post","status-publish","format-standard","hentry","category-jobs"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t