Job Description

Duration: 6 months Contract

Job Description:

The successful candidate will be 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.
• Come up with 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.
• Work in collaboration with peers located in the Regulatory Divisions.
• Strengthen external visibility and scientific excellence through publishing, open source code, and engaging with the scientific community.

Experience:

• 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.
• Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams
• Fluency in English, both written and spoken

Skills:

• 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.

Education:

• PhD degree (or M.Sc. with 4 years of working experience) in computer sciences, computational chemistry, computational biology, physics or related fields.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity,

national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: James Peruka

Email: pjames@ustechsolutionsinc.com

Internal Job ID: 25-38121

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