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!
探花合集 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.
探花合集 is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. 探花合集 is acting as an Employment Agency in relation to this vacancy.
By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - /privacy-policy
.png)
.png)
