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.

Computational Biology Product Manager, London Your impact Bring your computational biology and product management experience to bear on some of the toughest problems in drug discovery. 50% of drug failures in clinical trials can be attributed to working on the wrong biological target. Lack of efficacy and toxicity are leading causes of program failures. You will help us define and build ground-breaking AI products for target identification and biomarker development to attack both sides of this problem.

Your deep understanding of computational biology will help guide research in the right direction, and your product management experience will help ensure that research outcomes will translate into powerful product capabilities.

Reporting to the Product Director, you will be working in a small but high performing Product team and will collaborate closely with key stakeholders from across the company.

There is some degree of flexibility around the level of seniority in these positions; this will depend on your skills and experience.

What You Will Do

• Develop a comprehensive product strategy and road map, aligning with overall company goals, partner needs and research road map.
• Define and prioritise features, functionalities, and enhancements based on requirements and model advancements.
• Collaborate with cross-functional teams (Computational Biology, Machine Learning, Drug Design, Engineering, Business Development) to drive the development, testing, and launch of new capabilities.
• Communicate complex technical aspects of the platform with internal and external stakeholders.
• Gather and analyse partner or scientific feedback to inform platform improvements and research direction.
• Work with the data team to identify and acquire the necessary data to drive model performance.
• Define and track key metrics to measure performance, satisfaction and business impact.

Skills And Qualifications Essential:

• Post-graduate qualifications or extensive experience working in computational biology space.
• 3+ years of experience in product management, preferably in the biotechnology or pharmaceutical industry.
• Built out scientific computational tools or platform(s) in the past.
• Experienced in common software development practices.
• Experience with experimental design, and data generation, quality control and statistical analysis.
• Familiarity with data processing pipelines and analytical tools.
• Ability to effectively communicate complex scientific concepts to a variety of audiences.
• Excellent communication, presentation, and interpersonal skills.
• Strategic thinking, problem-solving, and decision-making abilities.
• Entrepreneurial drive, with the ability to achieve ambitious goals in a fast-paced and rapidly changing environment.

Nice to have:

• Experience working with machine learning technology and teams.
• Familiarity with a variety of assaying techniques, including NGS, cell-based assays, functional genomics, single-cell techniques, and image-based assays with expertise in their respective data analysis approaches.
• Experience working with clinical data.
• Expertise in developing computational biology methods for problems relevant to 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.

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