Responsible for implementing machine learning models and work collaboratively with data scientists and research scientists leveraging available datasets and influencing new dataset generation.
Responsibilities:
• Be an active member of a highly interdisciplinary and cross-organizational team.
• Stay current with the rapid advancements in machine learning applied to biomolecular analysis, with a focus on modelling techniques.
• Develop collaboratively a high-quality toolkit for data processing and machine learning of biomolecular data.
• Develop new ideas, owning and pursuing a research agenda to carry out long-running projects.
• Conceive, execute and evaluate models and experiments, interpret the results and present them in various cross functional meetings.
• Help other researchers use machine learning in their daily discovery activities.
• Strengthen external visibility and scientific excellence through publishing, open source code, and engaging with the scientific community.
Who you are:
• PhD degree (or M.Sc. with 4 years of working experience) in computer sciences, computational chemistry, computational biology, physics or related fields.
• Experience with state-of-the-art advanced mathematical models, machine learning methods and model selection concepts; previous experience with deep learning, transformer-based methods, and diffusion models would be of advantage
• A sincere interest for biology and the life sciences with knowledge of proteins.
• Excellent programming and software engineering skills in Python are essential!
• Proficiency in writing code and experience in cloud computing.
• Highly creative, independent, fast-learning person with outstanding problem-solving ability and the willingness to undertake challenging analysis tasks autonomously and in a timely fashion.
• Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams
• Communication skills are essential.
Additional Information
Envision, LLC is proud to be an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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