Research Scientist, AI /ML Biologics

Advanced Clinical; Springfield (MA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health coverage

401k benefits

Life insurance

Disability insurance

Job summary

Advanced Group seeks a Research Scientist specializing in AI/ML to accelerate computational drug discovery across biologics and related modalities. You will design predictive and generative models, build scalable ML workflows, and collaborate with biologists, chemists, and data engineers to advance therapeutic design.

The role emphasizes deep learning, protein language models, and cross-disciplinary research in a fast-moving life sciences environment.

Qualifications

• PhD in Computational Biology, Computational Chemistry, ML, Bioinformatics or related discipline.
• 3+ years in life sciences or biotech applying AI/ML.
• Strong background in therapeutic discovery and ML for biological systems.
• Experience modeling biomolecular sequences, structures, interactions.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, JAX).

Responsibilities

• Design and implement AI/ML models for therapeutic discovery and optimization.
• Develop predictive models for sequence-based design and candidate prioritization.
• Build ML workflows for biologics, antibodies, and nucleic acid modalities.
• Apply deep learning, generative AI, and protein language models.
• Maintain reproducible analytical workflows and pipelines.

Skills

Deep learning

Transformer architectures

Graph neural networks

NLP

Generative AI

Python

Data analysis

Communication

Education

PhD in Computational Biology/ML/related field

Tools

PyTorch

TensorFlow

scikit-learn

JAX

Docker

GitHub

Job description

We are seeking an innovative Research Scientist specializing in Artificial Intelligence and Machine Learning (AI/ML) to support computational drug discovery initiatives across multiple therapeutic modalities. This role will focus on developing predictive and generative modeling approaches to accelerate the design, optimization, and evaluation of biologics, oligonucleotides, and related therapeutic platforms.

The ideal candidate will combine deep expertise in machine learning, computational biology, and therapeutic discovery with a passion for applying data-driven approaches to solve complex scientific challenges. This position offers the opportunity to collaborate with multidisciplinary teams and contribute to cutting-edge research programs at the intersection of biology, chemistry, and AI.

Key ResponsibilitiesAI/ML Model Development

• Design and implement advanced AI and machine learning approaches to support therapeutic discovery and optimization.
• Develop and refine predictive models for sequence-based therapeutic design, activity prediction, and candidate prioritization.
• Build and deploy machine learning workflows for the optimization of biologics, antibodies, oligonucleotides, and other therapeutic modalities.
• Apply deep learning, generative AI, and protein language models to develop novel approaches for therapeutic design and discovery.
• Develop computational methods to model molecular interactions, sequence-function relationships, and structure-function relationships.

Position Overview

We are seeking an innovative Research Scientist specializing in Artificial Intelligence and Machine Learning (AI/ML) to support computational drug discovery initiatives across multiple therapeutic modalities. This role will focus on developing predictive and generative modeling approaches to accelerate the design, optimization, and evaluation of biologics, oligonucleotides, and related therapeutic platforms.

The ideal candidate will combine deep expertise in machine learning, computational biology, and therapeutic discovery with a passion for applying data-driven approaches to solve complex scientific challenges. This position offers the opportunity to collaborate with multidisciplinary teams and contribute to cutting-edge research programs at the intersection of biology, chemistry, and AI.

Key ResponsibilitiesAI/ML Model Development

• Design and implement advanced AI and machine learning approaches to support therapeutic discovery and optimization.
• Develop and refine predictive models for sequence-based therapeutic design, activity prediction, and candidate prioritization.
• Build and deploy machine learning workflows for the optimization of biologics, antibodies, oligonucleotides, and other therapeutic modalities.
• Apply deep learning, generative AI, and protein language models to develop novel approaches for therapeutic design and discovery.
• Develop computational methods to model molecular interactions, sequence-function relationships, and structure-function relationships.

Computational Frameworks & Data Science

• Build scalable and reproducible computational frameworks for data ingestion, feature engineering, model development, validation, and deployment.
• Curate, integrate, and harmonize internal and external datasets to support machine learning initiatives.
• Develop and evaluate sequence-, structure-, and chemistry-based features to improve model performance.
• Establish benchmarking strategies and validation frameworks to assess model accuracy, robustness, and scalability.
• Maintain well-documented and reproducible analytical workflows, codebases, and scientific pipelines.

Discovery & Cross-Functional Collaboration

• Support therapeutic discovery efforts through data-driven prediction, prioritization, and decision-support tools.
• Partner with experimental scientists to validate model predictions and refine computational approaches.
• Evaluate and implement emerging AI, machine learning, and computational biology technologies to enhance research capabilities.
• Collaborate closely with biologists, chemists, computational scientists, and data engineers to advance scientific objectives.
• Communicate scientific findings, technical approaches, and recommendations to cross-functional stakeholders.
• Contribute to scientific strategy discussions and innovation initiatives.
• Perform additional scientific and computational research activities as needed.

Required Qualifications

• PhD in Computational Biology, Computational Chemistry, Machine Learning, Bioinformatics, Biomedical Engineering, Chemical Engineering, Computer Science, or a related discipline.
• Minimum of 3 years of relevant industry experience applying AI/ML approaches to life sciences, biotechnology, pharmaceutical research, or related scientific fields.
• Strong background in therapeutic discovery, computational biology, and machine learning applications for biological systems.
• Demonstrated experience developing predictive and/or generative machine learning models for biological data.
• Experience modeling biomolecular sequences, structures, and interactions.
• Strong understanding of modern machine learning techniques, including:
  
  • Deep Learning
  • Transformer Architectures
  • Graph Neural Networks (GNNs)
  • Recurrent Neural Networks (RNNs)
  • Natural Language Processing (NLP)
  • Probabilistic Learning Methods
  • Generative AI Models
• Expertise in Python and familiarity with scientific computing and data analysis tools.
• Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, JAX, or similar platforms.
• Experience working with DNA, RNA, protein, or other biological sequence data.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities.

Preferred Qualifications

• Experience in biologics, antibody, protein, oligonucleotide, or nucleic acid therapeutic discovery.
• Knowledge of structure prediction, protein engineering, molecular modeling, or computational design methodologies.
• Experience developing large-scale machine learning solutions in production environments.
• Familiarity with cloud computing platforms, high-performance computing, or distributed computing architectures.
• Experience working with AWS or similar cloud environments.
• Knowledge of database technologies, containerization tools, and software development best practices.
• Experience with Git, GitLab, GitHub, Docker, or related development tools.
• Background in integrating computational and experimental research workflows.
• Experience supporting multidisciplinary drug discovery programs.

Key Competencies

• Strong scientific curiosity and innovative mindset.
• Ability to translate complex biological questions into computational solutions.
• Excellent collaboration and stakeholder management skills.
• Strong organizational and project management abilities.
• Ability to work effectively in a dynamic, fast-paced research environment.
• Commitment to continuous learning and scientific excellence.
• Strong communication skills with the ability to present complex concepts to both technical and non-technical audiences.

#MSPTalent

Full-time employees are also eligible for benefits options such as health coverage, life insurance, disability insurance, and 401k benefits.

At Advanced Group, our commitment to diversity and inclusion in every part of our organization is crucial to fulfilling our mission and demonstrating our REAL values. Advanced Group is committed to providing employment opportunities without regard to sex, race, color, age, national origin, religion, gender identity or expression, sexual orientation or sexual preference, pregnancy or maternity, genetic information, marital status, disability, veteran status, or any other basis protected by applicable federal, state or local law.

Advanced Group complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please contact [e-mail].