Senior Machine Learning Engineer

Antiverse

Engineering the future of antibody drug development to change the course of people’s lives! 

Do you want to be part of an ambitious techbio start-up successfully tackling an issue nobody thought possible? 

Antiverse is seeking a Senior Machine Learning Engineer to help develop new medicines and an enabling biologics discovery technology against challenging targets for 30+ indications. If you're self-motivated and able to work without step-by-step guidance with a real drive to get things done - we want to hear from you. 

Join us to grow and evolve with a company transforming drug discovery!

Culture and Values

We believe in the power of autonomy nurtured in a culture with the following values. 

People first 

We work to make things better for everyone: both on a societal level and a personal level. We will thrive, as a team, as a company and as a society by combining smartness with thoughtfulness across everything we do.

Rigour & agility

We move fast and innovate in our thinking, yet combine this agility with utter rigour and robustness. We are dedicated to delivering rock-solid solutions.

Interdisciplinarity

An ugly word for a beautiful idea. Our interdisciplinary approach goes deeper than our science. We believe that the best ideas and the most interesting conversations often come from synthesising diverse expertise and experiences. 

Dignity & nurture

We fundamentally believe in the value of each individual and the worth of their contribution regardless of the outcome. We believe that we all thrive best in a nurturing environment, and everything in our power is committed to building this supportive culture. 

Go where there's a need

We have the potential to transform lives. We will not let ourselves be sidetracked in this calling. We will not fail those whose future we can save.

How can you contribute

You will use your inquisitive, analytical mind to develop insights from complex, multi-modal datasets and a deep understanding of the domain. You'll use these insights to build novel machine-learning algorithms that will become critical components in the future of antibody drug discovery.

The interactions between our machine learning, laboratory and engineering teams are crucial to the success of Antiverse. You'll be interfacing with these teams to ensure we're making the best use of the data produced in our lab and working with our engineering team to integrate our models into production pipelines and systems.

Day-to-day activities

• Each day can look very different at Antiverse, with new priorities coming in quickly. Below is a rough outline of the work you'll be involved in
• Developing machine learning models, improving and critically assessing models to meet core business objectives.
• Statistical analyses and exploratory analysis of biological data.
• Research on SOTA techniques and approaches to issues. Engaging in team collaborations to enhance understanding and to realise the goal of rationally designed therapeutics.
• Reporting and presenting research and developments clearly and succinctly to stakeholders.
• Writing high-quality, well-documented code.
• Cross-functional work with the Data Engineering, Software Engineering and DevOps, and laboratory team.
• Ad-hoc responsibilities to meet needs.

Who you are

N.B. If you look at this list and think you could do this and are excited by the opportunity but don't tick every box, please get in touch anyway! We believe it's much easier to develop technical experience than develop motivation & excitement, and we're willing to invest our time and expertise in the right individual with the right motivations.

• A motivated individual who is passionate about the vision of Antiverse.
• Experienced in Python / R / Julia for data analysis and biological data analysis would be a huge plus. We're currently Python-based, but open to broadening our horizons. We are more focused on being able to meet our core objectives, the language of choice is secondary.
• Mathematically minded approach to solving problems and passionate about bringing clarity to complicated subject matter.
• Experience in Deep Learning frameworks such as PyTorch.
• Experience with antibody structures or protein structures or drug discovery
  
• A critical approach to the issues at hand. We want people who can suggest the best course of action, this does not always mean agreeing with the status-quo.
• Curious and inquisitive. Our line of work is relatively niche, a lot of experimenting and research has led us to our current state, we hope you can help us do more.
• Comfortable reading academic papers and explaining them to the team.

Bonus Points for

• Experience in applying research with software engineering principles, whether working within an agile methodology or utilising version control for incremental code improvement.
• Experience with cloud platforms.
• Experience with Ubuntu/Debian flavours of Linux.

Benefits

• Become part of a top team working at the forefront of Machine Learning and Drug discovery.
• Commitment to invest in your development, both technical and professional.
• Salary DOE
• Great team spirit
• Stock Options
• 25 days + public holidays
• Flexible working hours
  
• Opportunity to join an exciting startup with real growth potential
• Allowances for equipment both for home and office
• Discounted Gym and Pool membership
• Referral Bonus
  

Keywords; Protein Design, Antibody Design, Peptide Design, Protein Language Models, Protein Graph Neural Networks, Drug-Target Interaction Prediction, Computational Biology, Machine Learning, Deep Learning

No recruiters, please.