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Machine Learning Researcher

Skills Alliance

United States

Remote

USD 180,000 - 920,000

Full time

9 days ago

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Job summary

An innovative biotech startup is seeking a Machine Learning Scientist to join their remote team. This role involves developing cutting-edge ML models to accelerate drug discovery, leveraging advanced techniques like diffusion models and Bayesian optimization. Ideal candidates will have a Ph.D. and a strong background in machine learning, with a passion for tackling complex challenges in biotechnology. Join a forward-thinking company committed to transforming the drug discovery process and making a significant impact in the field of AI and healthcare.

Benefits

Medical Insurance
Vision Insurance
401(k)

Qualifications

  • Ph.D. in relevant fields required.
  • Expertise in ML techniques with focus on generative models.

Responsibilities

  • Develop ML models for generating small molecules.
  • Collaborate with teams to optimize drug discovery workflows.
  • Drive adoption of advanced deep learning techniques.

Skills

Machine Learning
Generative Models
Deep Learning
Bayesian Optimization
Diffusion Models
Transformers

Education

Ph.D. in Computer Science
Ph.D. in Applied Mathematics
Ph.D. in Statistics
Ph.D. in Physics

Job description

Direct message the job poster from Skills Alliance

Artificial Intelligence, Computational Sciences & Engineering Staffing (US, UK & EU) at Skills Alliance

Job Title: Machine Learning Scientist (Remote)

Location: Remote

About Us:

We are a rapidly growing biotech startup at the forefront of advancing the intersection of AI/ML and drug discovery. Our mission is to accelerate the development of small molecules for drug discovery, reducing the timeline and cost compared to traditional methods. We have partnered with leading pharmaceutical companies to deliver state-of-the-art solutions in computational drug design.

Role Overview:

We are seeking a highly talented and motivated Machine Learning Scientist to join our dynamic, remote team. The ideal candidate will contribute to the development of innovative ML models aimed at generating small molecules, particularly for early-stage drug leads. This position is ideal for someone passionate about leveraging machine learning to tackle complex challenges in drug discovery and eager to push the boundaries of AI in this exciting field. No prior biology knowledge is required!

Key Responsibilities:

  • Research & Development: Develop and advance foundational ML models for generating small molecules, particularly drug leads
  • Collaboration: Work closely with internal teams and pharmaceutical partners to integrate ML models and optimize drug discovery workflows.
  • Pre-trained Models: Enhance and contribute to pre-trained models tailored to generating drug molecules and improving computational drug discovery methods.
  • Innovation: Drive the adoption of state-of-the-art deep learning techniques, including diffusion models, transformers, and Bayesian optimization, to solve pressing challenges in drug discovery.

Qualifications:

  • Ph.D. in Computer Science, Applied Mathematics, Statistics, Physics, or a related discipline (prior knowledge of chemistry is not required).
  • Expertise in machine learning techniques, with a strong focus on generative models, including diffusion models, Transformers, and Bayesian optimization.
  • Demonstrated expertise through first-author publications in top-tier conferences such as NeurIPS, ICLR, and ICML.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Science
  • Industries
    Biotechnology Research and Pharmaceutical Manufacturing

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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