Director, Translational Medicine, Oncology, Cambridge, MA

Isomorphic Labs•Cambridge, MA

2d•Hybrid

About The Position

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. About Iso Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

Requirements

Ph.D. or similar in biology or related field
7+ years of translational experience within biotech or pharma including oncology.
Proven success implementing and executing translational strategy, clinical biomarkers and diagnostic development in oncology studies.
Experience working cross-functionally with key stakeholders internally as well as external vendors and collaborators.
Significant expertise in cancer biology and drug development
Strong appetite to work in an AI-first environment.
Willingness to go beyond traditional assays and approaches, incorporating cutting edge methodologies that may enhance therapeutic probability of success and velocity.
Sense of urgency and accountability to operate in a fast-paced environment.
Flexibility to adapt to changing timelines and priorities.
Strong leadership and excellent communication skills.

Nice To Haves

Experience working on global oncology studies across multiple clinical phases, tumor types and drug modalities (small molecules, biologics, peptides, glues)
Companion diagnostic experience across countries and through regulatory approval
Ability to conduct analysis across multi-omic datasets independently and in collaboration with biometrics
Experience utilizing AI to enhance translational work

Responsibilities

Lead and execute the Translational Medicine strategy across oncology programs.
Ensure readiness of clinical biomarker assays and delivery of corresponding data to address mechanism of action, predictive and prognostic insights, mechanisms of drug resistance and to inform future indications and combinations.
Serve as a core member of the oncology program teams and subject matter expert for cancer biology.
Collaborate with cross-functional teams to set the program strategy and clinical trial design across tumor types and drug modalities.
Deliver clinically validated assays and advance companion diagnostic development for biomarker selected studies.
Work closely with the early portfolio scientific teams to ensure clinical input is incorporated at the start of the drug development process, and preclinical insights are translated into the clinical design.
Collaborate with AI and Computational Biology teams to identify, create and utilize innovative tools for analysis of biomarker and translational datasets, accelerate diagnostic advances and explore new approach methodologies (NAMs).
Serve as a key contributor to the translational sections of clinical and regulatory documents including INDs, IBs, clinical protocols, lab manuals, and briefing books.
Collaborate across internal and external stakeholders to represent and communicate the translational strategy.
Oversee and manage external CROs to ensure on time and robust data delivery.