Machine Learning, MTS

Jobtailor; California (MO); On-site; USD 140,000 - 220,000; Full time

Job summary

Jobtailor seeks an experienced ML Scientist to build models predicting molecular properties from chemical structures and to develop novel algorithms for molecule generation. You will collaborate with chemists and software engineers to integrate models into the software platform.

The role involves building scalable infrastructure for model training, deployment, and monitoring, and engaging with scientific users to influence product direction and strategy.

Qualifications

• 4+ years in ML Scientist/ML Engineer/Data Scientist or similar role.
• Strong scientific background with ML fundamentals and deep learning.
• Proficiency in Python-based ML frameworks: PyTorch, TensorFlow, scikit-learn.

Responsibilities

• Develop ML models to predict molecular properties from chemical structures.
• Create algorithms for generating ideas for new molecules.
• Build scalable infrastructure for model training, deployment, and monitoring.

Skills

Machine Learning Model Development

Python-Based ML Frameworks

Deep Learning Architectures

Collaboration with Chemists

Education

PhD preferred in Chemistry or related field

Graduate-level biology/biochemistry knowledge preferred

Tools

PyTorch

TensorFlow

Scikit-learn

Cloud Serving Infrastructure

Job description

• Develop machine learning models to predict molecular properties from chemical structures
• Develop novel algorithms for generating ideas for new molecules
• Build agents that synthesize complex information from drug programs and apply it strategically toward molecular optimization
• Analyze the proprietary dataset to iterate on modeling ideas and improve model performance
• Collaborate with chemists and software engineers to integrate models into the software platform
• Build and optimize scalable infrastructure for model training, deployment, and monitoring
• Engage directly with scientific users and incorporate their feedback into the product
• Contribute to product strategy and company direction

Requirements

• 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role
• Strong scientific background
• Expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches
• Proficiency in standard Python-based ML frameworks, such as PyTorch, TensorFlow, and scikit-learn
• Ability to write high-quality, reusable code and productionize models for cloud serving
• Excitement to dive deep into the science and practice of drug discovery
• Exceptional written and oral communication skills
• Preferred: PhD in chemistry, biology, physics, or a related field
• Preferred: Graduate-level knowledge of cell/molecular biology or biochemistry and experience collaborating with wet lab scientists
• Preferred: Experience with omics modeling, including transcriptomics, proteomics, or metabolomics
• Preferred: Experience with high-content screening and signal processing from microscopy data

Core Competencies

Demonstrates expertise in developing machine learning models and algorithms for molecular property prediction and drug discovery. Proficient in Python-based ML frameworks and capable of integrating models into software platforms while collaborating with scientific teams.

Highest-signal resume keywords

• Machine Learning Model Development
• Python-Based ML Frameworks
• Deep Learning Architectures
• Collaboration with Chemists
• PhD in Chemistry or Related Field

Hard Skills

• Machine Learning Fundamentals
• Model Evaluation Approaches
• Reusable Code Writing
• Productionizing Models
• Omics Modeling
• High-Content Screening
• Signal Processing
• Data Analysis
• Molecular Optimization
• Algorithm Development

Soft Skills

• Exceptional Written Communication
• Exceptional Oral Communication

Industry Keywords

• Drug Discovery
• Cell Biology
• Molecular Biology
• Biochemistry
• Transcriptomics
• Proteomics
• Metabolomics

Tools & Technologies

• PyTorch
• TensorFlow
• Scikit-learn
• Cloud Serving Infrastructure