Research Scientist AI/ML Biologics - Contract - East Coast
Help bring science to life and join a leading biotech company where you will play a key role in delivering impactful research that drives healthcare innovation!
À±½·ÊÓƵ is seeking a Research Scientist specializing in AI and Machine Learning for biologics. In this role, you will contribute to the development of advanced computational frameworks.
Primary Responsibilities:
This position will be required to support the design and optimization of antisense oligonucleotides (ASOs) and biologics. You will play a key role in integrating machine learning and artificial intelligence into therapeutic discovery processes, helping to accelerate innovation across multiple modalities.
Skills & Requirements:
- Advanced degree (PhD preferred) in Computational Chemistry, Biology, Machine Learning, Biomedical/Chemical Engineering, or a related field.
- Strong background in oligonucleotide chemistry and antibody design/characterization.
- Proven experience in computational modeling of antibody-antigen interactions, including sequence and structure analysis.
- Expertise in probabilistic learning, deep learning models (e.g., RNNs, GNNs, Transformers), and generative AI.
- Proficiency in programming languages such as Python, R, and SQL, with experience using frameworks like PyTorch, TensorFlow, or scikit-learn.
- Experience developing machine learning models for DNA, RNA, and proteins, including language models and structure prediction.
- Familiarity with large-scale computing, cloud infrastructures, and database systems (e.g., AWS, GitHub, Docker).
- Strong communication and collaboration skills to work effectively with multidisciplinary teams.
- Commitment to continuous learning and a team-oriented mindset.
The Research Scientist's responsibilities will be:
- Design and implement advanced AI/ML approaches for antibody discovery, including fine-tuning protein language models and creating generative protein design workflows.
- Develop and scale machine learning methods for optimizing antibodies, antigens, ADCs, and other biologic modalities.
- Build predictive models to prioritize ASO designs based on exon-skipping response across various targets and modalities.
- Create reproducible computational frameworks for biologics, including data ingestion, feature engineering, model training, validation, and deployment.
- Curate and harmonize datasets from internal and external sources, defining robust sequence and structure features to enhance model performance.
- Establish benchmarks and conduct prospective tests to assess model accuracy, robustness, and scalability. Collaborate with experimental teams to validate predictions.
- Evaluate and adopt proprietary and open-source tools to improve modeling workflows and decision-making processes.
- Maintain a clean, well-documented codebase and provide user guidance for cross-functional teams.
- Perform additional related tasks as needed.
Compensation:
If you are having difficulty in applying or if you have any questions, please contact Alex Bill at a.bill@proclinical.com
If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.
À±½·ÊÓƵ is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. À±½·ÊÓƵ is acting as an Employment Agency in relation to this vacancy.
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