Jobs via Dice

Machine Learning Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Scientist on a 12+ month contract in South San Francisco, CA, offering $38.37 - $51.11 per hour. Key skills include Python, cloud deployment, and collaboration on scientific software. A BS/MS/PhD in a relevant field and 3+ years of industry experience are required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
408
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πŸ—“οΈ - Date
February 26, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
South San Francisco, CA
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🧠 - Skills detailed
#GitHub #Generative Models #Cloud #Documentation #ML (Machine Learning) #Python #Version Control #Datasets
Role description
Aptask Global Workforce (AGW) is seeking a Machine Learning Scientist for a Contract position with a Global Biotechnology Company located in South San Francisco, CA. This is a 12+ month contract opportunity. This role is part of a Structure and Simulation team developing modern computational methods to accelerate therapeutic discovery. The successful candidate will work as a machine learning scientist to develop new scientific methodology for the understanding and design of biomolecules, collaborating extensively with computational and experimental researchers to advance the scientific understanding of biomolecules. Responsibilities: β€’ Work as a machine learning scientist to develop new scientific methodology for the understanding, scoring, ranking, generation, and design of biomolecules, especially proteins β€’ Work as an engineer of scientific software, to produce usable, deployable code for these new methods to power the lab-in-the-loop β€’ Use software best practices (version control, testing, modular code development, documentation, etc) to collaborate on a large codebase with our team of methods developers β€’ Deploy workflows on HPC and cloud platforms and deliver user-friendly web-based interfaces to medicinal chemists Requirements: β€’ BS, MS, or PhD degree in a life or physical science or a computational field β€’ Expert in Python and experience with scientific software development β€’ Experience with deploying software workflows on cloud and/or HPC platforms β€’ Experience working on collaborative code bases, including merge requests, code review, writing tests etc β€’ Highly-motivated and independent self starter that is eager to collaborate β€’ Excellent communication and interpersonal skills β€’ Basic understanding of modern machine learning methods including predictive models, generative models, and active learning as applied to molecular generation and optimization β€’ Only candidates available and ready to work directly as Aptask Global Workforce (AGW) employees will be considered for this position. Desired skills: β€’ Public portfolio of projects available on GitHub β€’ Experience with Rosetta, OpenMM, and/or computational chemistry codes β€’ 3+ years of industry experience β€’ Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data Pay range: $38.37 - $51.11 per Hour If you have the described qualifications and are interested in this exciting opportunity, apply today! Aptask Global Workforce (AGW) ApTask Global Workforce (AGW) is a certified Minority and Veteran workforce solutions company. AGW delivers operational, clinical, lab and professional talent with a strong focus on healthcare and life sciences. The company supports clients with reliable staffing, program expertise and a commitment to quality, speed and consistent delivery. Benefits of working with ApTask Global Workforce include: β€’ Medical β€’ Dental β€’ Vision β€’ Sick Pay (for applicable states/municipalities) Our team stays close to the process and is here to guide you every step of the way. To learn more, please visit our website ;br> ApTask Global Workforce is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.