ML Protein Design - Senior Scientist to Director Level

Position Title : Senior Scientist to Director Level - ML Protein Design (Cell Therapy Focus)

Location : Boston, MA

About Us :

A cutting-edge biotech company operating in stealth mode and focused on revolutionizing CAR-T cell therapies for solid tumors. By leveraging machine learning (ML) workflows and advanced gene-editing technologies, we aim to tackle some of the biggest challenges in immuno-oncology. Join us at the forefront of science, where innovation meets impact, as we develop next-generation therapies to transform patient outcomes.

Role Overview :

We are seeking a highly motivated Ph.D.-level Senior Scientist (flexible to Director) with a mixed wet and dry lab background to join our dynamic and collaborative team. The successful candidate will be pivotal in designing and optimizing CAR-T cell therapies using an interdisciplinary approach that integrates computational and experimental techniques. This role is ideal for a scientist passionate about cell therapies, with experience in ML workflows, gene-editing systems, and immunology.

Key Responsibilities :

Design and Optimization : Develop and implement strategies to improve CAR-T cell efficacy, persistence, and safety in solid tumors, utilizing gene-editing technologies (e.g., CRISPR / Cas9, base editing, or similar).

Machine Learning Integration : Collaborate with computational scientists to incorporate ML workflows in analyzing datasets and optimizing gene-editing targets for CAR-T cells.

Wet Lab Contributions : Perform hands-on experiments, including T-cell culture, functional assays (cytotoxicity, cytokine secretion), flow cytometry, and genomic assays.

Data Analysis : Analyze multi-dimensional datasets (e.g., transcriptomics, proteomics, single-cell data) to identify potential pathways and targets for enhancing CAR-T cell therapies.

Innovation & Problem-Solving : Drive creative solutions to overcome immunosuppressive tumor microenvironments and antigen heterogeneity in solid tumors.

Collaboration : Work cross-functionally with immunologists, computational biologists, and synthetic biologists to advance research projects.

Scientific Communication : Present findings and contribute to internal publications, patents, and conferences.

Qualifications :

Education : Ph.D. in Immunology, Cell Biology, Molecular Biology, Computational Biology, or a related field.

Experience :

2 years of postdoctoral or industry experience in cell therapy, immuno-oncology, or related fields preferred.

Proven expertise in CAR-T cell engineering and / or gene-editing systems (e.g., CRISPR, TALEN, base editing).

Familiarity with machine learning techniques and their applications in biology is highly desirable.

Hands-on experience with T-cell assays, flow cytometry, and omics data analysis.

Technical Skills :

Strong knowledge of immunology, particularly T-cell biology and tumor immunology.

Proficiency in wet lab techniques, including T-cell culture and functional assays.

Competency with computational tools for data analysis (e.g., Python, R, or similar).

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