Pharmaceutical Industry jobs in United Kingdom

London

We are here to advance human health, by reimagining drug discovery with the power and pace of artificial intelligence.
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 by better and faster drug discovery.
Our values exist in service of that future. We think they’ll help us bring it closer, too.
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.

Isomorphic Labs (IsoLabs) was founded in 2021 and is led by Sir Demis Hassabis. Our aim is to usher in a new era of biomedical breakthroughs and find cures for some of humanity’s devastating diseases.
Our foundations are built on the success of Google DeepMind’s AlphaFold, but we didn’t stop there! We are continuing to develop and implement state-of-the-art technologies as we move towards our goal of dramatically accelerating and improving the process of designing and bringing new medicines to patients.
We have built a world-leading drug design engine comprising foundational AI models that are capable of working across multiple therapeutic areas and drug modalities. The company is continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

We’re looking for a Product Manager who is passionate about the use of AI research and software development to solve complex scientific problems in the life sciences. This is a unique opportunity to apply cutting edge AI research in root-cause scientific exploration to bring huge potential impacts to the world.

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.

• Develop a comprehensive product strategy and roadmap, aligning with overall company goals, partner needs and research roadmap.
• 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.

• 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.

• 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.

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.

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.

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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We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are working to build teams that reflect and represent the populations we are striving to serve. As part of this effort we would like to better understand our candidate audience, so that we can continue to improve.

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