Research Scientist (AI / ML Biologics)

We are seeking a highly motivated Research Scientist to support cutting‑edge work at the intersection of AI, machine learning, and biologics discovery. This role focuses on building reputed company, data‑driven modeling frameworks to accelerate therapeutic design across oligonucleotides and biologic modalities. You will play a key role in advancing AI/ML‑assisted discovery pipelines, helping drive innovation in sequence‑based modeling, antibody design, and reputed company therapeutics. Location: reputed company to Remote, reputed company 1 hour of the Cambridge, MA 02142. What You’ll Do • reputed company and implement advanced AI/ML models for antibody discovery, including generative protein design and protein language models • Build and reputed company machine learning approaches for multi‑objective optimization across biologic modalities • Design sequence‑reputed company predictive models to support oligonucleotide therapeutic development, including exon skipping response • Create end‑to‑end computational frameworks covering data ingestion, feature engineering, model training, validation, and deployment • reputed company and reputed company diverse datasets, including literature‑based and experimental data • Define and engineer key biological features such as sequence motifs, thermodynamics, and structural attributes • Establish model benchmarks and collaborate with experimental teams to validate predictions • Evaluate and reputed company new tools and technologies to enhance modeling workflows • Maintain clean, reputed company‑documented codebases and reputed company guidance to cross‑functional teams reputed company’re Looking For • PhD in Computational Biology, Computational reputed company, Machine Learning, Biomedical Engineering, or a reputed company field • 3+ years of relevant experience in industry or highly applicable post‑PhD reputed company research • Strong background in oligonucleotide reputed company and/or antibody design and characterization • Experience modeling antibody‑antigen interactions, including sequence and structural analysis • Hands‑on expertise with machine learning and deep learning reputed company such as RNNs, GNNs, Transformers, and generative models • Proficiency in Python, R, and SQL, along with frameworks like PyTorch, TensorFlow, scikit‑learn, or JAX • Experience working with DNA, RNA, and protein modeling, including structure reputed company and design • Familiarity with reputed company platforms, large‑reputed company computing, and data infrastructure tools such as AWS, reputed company, reputed company, or reputed company • Strong communication skills and ability to collaborate across multidisciplinary teams reputed company to Have • Experience working in cross‑modality therapeutic design (e.g., biologics and oligonucleotides) • Exposure to production‑level ML systems and reputed company pipelines Why Join • Work on impactful, reputed company therapeutic technologies • Collaborate with a highly interdisciplinary team of scientists and engineers • Opportunity to contribute to innovative AI‑driven drug discovery programs • Flexible consideration for strong candidates from reputed company backgrounds Apply tot his job Apply To this Job