Senior Scientist (In vitro / Cellular Pharmacology), Cambridge, MA
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.
Your impact
Isomorphic Labs are seeking exceptional individuals to join a highly impactful In vitro and Cellular Pharmacology sub-team, within our Translational Sciences team. This role is ideal for an experienced in vitro pharmacologist with significant working knowledge of biophysical, biochemical and/or cell-based functional assays, and extensive experience of providing quantitative in vitro pharmacology expertise within drug discovery projects.
This is an exciting opportunity to work closely with world-leading ML and drug discovery experts to develop imaginative new ways to test biological hypotheses, building a deep mechanistic understanding of drug target interactions to drive our projects forward. You will play a key role in defining the screening cascades for our drug design projects, advancing our oncology, immunology and partnership portfolios from early drug discovery through to candidate selection and ultimately to clinical phase work. By overseeing externalized CRO activities, you will close the loop between computational biological insights and real-world laboratory validation. You will have experience of working broadly across drug discovery projects and have the ability to think originally and critically, knowing when to apply innovative ideas, and think with a fresh approach.
What you will do
- Design efficient and comprehensive biological screening cascades for a variety of internal and partnered drug design programs.
- Guide the optimization and implementation of biophysical and biochemical assays, including SPR, ITC, and enzymatic methodologies, to rigorously evaluate target interaction, pharmacological potency, and molecular specificity.
- Direct the development and refinement of functional and phenotypic cellular assays, bridging the gap between biochemical engagement and biological potency to advance target validation and mechanistic understanding.
- Work with CROs to design decision-making experiments, and deliver the highest quality biological data to inform the path to the clinic.
- Evaluate, interpret, and synthesize complex binding, kinetic, and dose-response information; generate precise technical documentation to guide strategic decision-making and support IND-enabling data packages.
- Act as a vital bridge between computational prediction and experimental reality, collaborating closely with:
- AI/ML and Data Science teams: To translate in silico predictions into testable hypotheses and provide clean data loops to train future models.
- Medicinal Chemistry: To guide SAR-driven design cycles with rapid, reliable potency and selectivity data.
- Structural Biology: To align biophysical binding data with structural insights informing lead optimization.
- In vivo Pharmacology and Translational Sciences: To ensure a seamless handoff of validated leads into in vivo efficacy and translational study design.
Skills and qualifications
Essential:
- Ph.D. in Pharmacology, Biochemistry, Cell Biology, Biophysics, or a related scientific discipline.
- Extensive experience in the design and implementation of biological screening cascades applied to drug design projects from hit identification to candidate selection phases.
- Deep knowledge of experimental in vitro pharmacology techniques including biophysical, biochemical and/or cellular assays.
- Ability to provide technical guidance within matrixed organizations, effectively steering cross-functional programs and execution through collaboration.
- Experience working with CROs in acquiring and interpreting high quality biological data in a timely manner.
- Dynamism and agility, with ability to work across several projects and therapeutic areas.
- Effective communication across a broad interdisciplinary team, working with key stakeholders with different skills and backgrounds.
Nice to have:
- Experience of leading biology within drug discovery programs, ideally from inception to clinical candidate delivery.
- Experience partnering with Data Science groups in setting up systems for ingestion of biological data.
- Track record of contributing to drug design projects which have then delivered Clinical Candidates.
- Working knowledge of designing and implementing assays and screening cascades for alternative modalities or alternative chemistries e.g peptides or molecular glues.
- General knowledge of machine learning modelling applied to biological systems and drug discovery.
Culture and values
We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.
Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.
Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.
Determined
Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.
Together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.
Creating an extraordinary company
We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.
We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Hybrid working
It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.
Please note that when you submit an application, your data will be processed in line with our privacy policy.