Machine Learning Scientist
South San Francisco, CA, US • Posted 2 days ago • Updated 2 days agoContract W2
On-site
$40 - $50/hr
Talent Software Services, Inc
Fitment
Dice Job Match Score™
👾 Reticulating splines...
Job Details
Skills
- COMPUTATIONAL
- BIOINFORMATICS
- MACHINE LEARNING
- ML
- HPC
- CLOUD
- HIGH-PERFORMANCE COMPUTING
- HIGH PERFORMANCE COMPUTING
- PYTHON
- PORTFOLIO
- GITHUB
- GIT-HUB
- DATA
- DATASET
- DATASETS
- PHARMA COMPANIES
- PHARMACEUTICAL
- PHARMACEUTICAL COMPANY
- PHARMACEUTICAL COMPANIES
- PHARMACEUTICAL INDUSTRY
Summary
Machine Learning Scientist
Job Summary: Talent Software Services is in search of a Machine Learning Scientist for a contract position in South San Francisco, CA. The opportunity will be for one year with a strong chance for a long-term extension.
Position Summary: In the Structure and Simulation team within Prescient Design, we develop modern computational methods to accelerate therapeutic discovery across clients'' Research and Early Development (gRED). Methods we deploy propose new molecules, score designs to prioritize the most promising compounds, generate biological hypotheses through exploratory simulation, accelerate physics-based calculations, and more. We are seeking a highly motivated Machine Learning Scientist to join our team to develop new scientific methodology and produce and deploy workflows usable by computational and ultimately wet-lab scientists. The successful candidate will collaborate extensively with computational and experimental researchers within Prescient Design and across gRED to advance our scientific understanding of biomolecules.
Primary Responsibilities/Accountabilities:
Qualifications:
Preferred:
If this job is a match for your background, we would be honoured to receive your application!
Providing consulting opportunities to TALENTed people since 1987, we offer a host of opportunities, including contract, contract to hire, and permanent placement. Let''s talk
Job Summary: Talent Software Services is in search of a Machine Learning Scientist for a contract position in South San Francisco, CA. The opportunity will be for one year with a strong chance for a long-term extension.
Position Summary: In the Structure and Simulation team within Prescient Design, we develop modern computational methods to accelerate therapeutic discovery across clients'' Research and Early Development (gRED). Methods we deploy propose new molecules, score designs to prioritize the most promising compounds, generate biological hypotheses through exploratory simulation, accelerate physics-based calculations, and more. We are seeking a highly motivated Machine Learning Scientist to join our team to develop new scientific methodology and produce and deploy workflows usable by computational and ultimately wet-lab scientists. The successful candidate will collaborate extensively with computational and experimental researchers within Prescient Design and across gRED to advance our scientific understanding of biomolecules.
Primary Responsibilities/Accountabilities:
- Work as a machine learning scientist to develop new scientific methodology for the understanding, scoring, ranking, generation, and design of biomolecules, especially proteins.
- Work as an engineer of scientific software, to produce usable, deployable code for these new methods to power the lab-in-the-loop.
- Use software best practices (version control, testing, modular code development, documentation, etc.) to collaborate on a large codebase with our team of methods developers.
- Deploy workflows on HPC and cloud platforms and deliver user-friendly web-based interfaces to medicinal chemists across gRED and Roche.
Qualifications:
- BS, MS, or PhD degree in a life or physical science or a computational field.
- Expert in Python and experience with scientific software development.
- Experience with deploying software workflows on cloud and/or HPC platforms.
- Experience working on collaborative code bases, including merge requests, code review, writing tests etc.
- Highly motivated and independent self-starter who is eager to collaborate.
- Excellent communication and interpersonal skills.
- Basic understanding of modern machine learning methods, including predictive models, generative models, and active learning, as applied to molecular generation and optimization.
Preferred:
- Candidates may additionally have, but are not required to have:
- Public portfolio of projects available on GitHub.
- Experience with Rosetta, OpenMM, and/or computational chemistry codes.
- 3+ years of industry experience.
- Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data.
If this job is a match for your background, we would be honoured to receive your application!
Providing consulting opportunities to TALENTed people since 1987, we offer a host of opportunities, including contract, contract to hire, and permanent placement. Let''s talk
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: talmn001
- Position Id: 26-02204
- Posted 2 days ago
Company Info
We pride ourselves in making sure that diversity in the workplace is at the forefront of our business. Our Founder, Dave Iacarella, is an Army Veteran who is committed to giving back to fellow Veterans. We are proud of our history of transitioning military Veterans into the workforce with companies that value their service. TALENT helps companies meet their veteran and diversity spend initiatives and requirements. We are committed to supporting veteran and diverse organizations.
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