At a Glance
- Tasks: Lead innovative drug discovery projects using AI and translational biology.
- Company: Join Isomorphic Labs, a pioneering company in AI-driven drug discovery.
- Benefits: Enjoy a hybrid work model, competitive salary, and a collaborative culture.
- Other info: Be part of a diverse team committed to solving diseases with cutting-edge technology.
- Why this job: Make a real impact on global health by developing life-changing medicines.
- Qualifications: Ph.D. in relevant scientific fields and extensive drug discovery experience required.
The predicted salary is between 70000 - 85000 £ per year.
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.
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 Translational Biology sub-team, within our Translational Sciences team. This role is ideal for an experienced translational biologist with a skill for designing fit-for-purpose screening cascades to provide robust experimental evidence that our ML-designed medicines will have the desired therapeutic product profiles (TPPs).
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 in disease to drive our projects forward. You will be responsible for establishing and implementing translational strategies, advancing our oncology, immunology and partnership portfolios from early drug discovery through to candidate selection and ultimately to clinical phase work. You will serve as a vital link between computational biology and experimental validation, driving progress within a fully externalized model supported by CRO partnerships. 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
- Oversee the comprehensive planning, methodology development, fiscal management, and implementation of target-specific in vivo pharmacology, PK/PD, and safety assessments throughout our project portfolios.
- Design robust translation strategies explicitly geared toward clinical translation, leveraging datasets and biomarkers to inform patient selection frameworks.
- Play a critical role in defining the most appropriate model paradigm (in vivo, ex vivo patient-derived tissue etc) for each project’s translational package, including developing a biomarker strategy to deliver early clinical proof of concept.
- Work with CROs to design decision-making experiments, and deliver the highest quality biological data to inform the path to the clinic.
- Provide scientific expertise to the ML and computational biology teams, to support the development of world-leading models of biological systems.
- Distill biological data into useful insights and recommendations for project leaders, project team members, and partners.
- Be closely integrated within or lead projects to provide strategic input to deliver project success.
- Analyze and interpret experimental data to deliver high-quality reports that drive go/no-go decisions and support IND regulatory filings.
- Act as a vital bridge between computational prediction and experimental reality, collaborating closely with:
- ML and Data Science Teams: To translate in silico predictions into physical validation protocols and provide clean data loops to train future models, iteratively improving the predictive accuracy of our proprietary drug design platform.
- Discovery Biology and Lead Optimization: To seamlessly transition hits generated by our drug design engine into advanced preclinical characterization and guide SAR-driven design cycles with rapid, reliable preclinical efficacy data.
- DMPK and Toxicology: To align in vivo efficacy with ADME and exposure data, informing safety windows and dose selection.
- Clinical Development and Program Management: To translate preclinical PK/PD hypotheses into first-in-human trial designs, biomarker strategies, and patient inclusion criteria.
Skills and qualifications
Essential:
- Ph.D. in Pharmacology, Immunology, Cancer Biology, Molecular Biology, or a related scientific discipline.
- Deep understanding of target, mechanism, and disease interdependencies, preferably in oncology or immunology.
- Expert knowledge of innovative translational models, particularly in oncology and/or immune disorders.
- Extensive pharma/biotech experience developing Target Product Profiles (TPPs) and converting them into biological screening cascades, to guide impactful drug development.
- Proven track record in constructing translational data packages and biomarker strategies to inform clinical trial design.
- Experience in designing PK/PD experiments for human dose prediction and collaborating with ADMET, formulation, and clinical specialists to refine strategies.
- Ability to phase translational biology activities collaboratively, considering interdependencies to generate relevant data efficiently.
- Proven track record managing multi-vendor CRO networks (including contract negotiation, timeline accountability, and data quality oversight) and the ability to lead and influence teams without direct authority, setting technical direction and driving execution across matrixed, externally-dependent programs.
- Dynamism and agility, with ability to work across several projects and therapeutic areas.
- Exceptional project management skills with the ability to manage multiple complex external studies simultaneously.
- 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.
- Track record of driving strategic de-risking and SAR strategies, collaborating effectively across disciplines, including medicinal chemistry and DMPK.
- Good understanding of medicinal chemistry concepts.
- General knowledge of machine learning modelling applied to biological systems and drug discovery.
- Solid understanding of the competitive landscape in oncology and/or immunology or inflammation.
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.
Senior Scientist (In vivo Pharmacology & Translational Sciences), Cambridge, MA employer: Isomorphic Labs
Isomorphic Labs is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to contribute to groundbreaking advancements in drug discovery. Located in London, the company offers a unique opportunity for professional growth within a rapidly scaling environment, alongside competitive benefits and a commitment to diversity and inclusion. Join us to be part of a mission-driven team dedicated to transforming human health through the power of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Scientist (In vivo Pharmacology & Translational Sciences), Cambridge, MA
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We think you need these skills to ace Senior Scientist (In vivo Pharmacology & Translational Sciences), Cambridge, MA
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Isomorphic Labs that you have the hands-on skills they need.
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How to prepare for a job interview at Isomorphic Labs
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Isomorphic Labs. You might even be asked to demonstrate your understanding of these processes.
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Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
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