Data Scientist

Data Scientist

About Multus

Our Mission is to enable cultivated meat to be the sustainable and affordable choice, for everyone. Growth media costs block cultivated meat companies from scaling up, contributing 60-80% of production costs. Media development is slow and expensive, and the pool of qualified ingredients is insufficient. We make it faster and cheaper to develop and source media that scales, helping companies accelerate on the path from lab to market.

We win by solving difficult growth media problems faster, better, cheaper and safer than anyone else.

Having rapidly grown over the last few years and completed our Series A funding, we are looking for a hardworking and driven go-getter to join our engineering team.

Job description and key responsibilities

Multus is seeking a Data Scientist passionate about leveraging advancements in data science to innovate in the field of engineering biology. As a rapidly growing company, we aim to develop affordable and scalable cultivated meat using animal-free, food-grade growth media.

As a crucial member of our engineering team, you will help steer our technical direction and utilize cutting-edge technologies including machine learning, robotics, automation, Next-Generation Sequencing (NGS), and more.

Key Roles & Responsibilities:

• Lead Design and Development: Drive the development and integration of data-driven solutions to improve our research and operational systems.
• Stakeholder Communication: Serve as the primary technical liaison for internal and external stakeholders, ensuring clear communication of technical progress and project milestones.
• Team Leadership and Support: Mentor team members and foster a culture of excellence and continuous improvement.
• Project Ownership: Manage the entire lifecycle of data-centric projects, ensuring timely delivery, budget adherence, and alignment with strategic objectives.
• Innovative Problem Solving: Employ advanced technologies and innovative methods to tackle complex problems in engineering biology.
• Collaborative Research and Development: Partner with multidisciplinary teams to blend computational tools with laboratory processes, enhancing our R&D efforts.
• Quality Assurance and Documentation: Ensure the highest standards of quality and compliance, with thorough documentation and system integrity.

Target candidate profile: e.g., skills, training, experience required

Technical Skills:

• PhD or equivalent experience in Computer Science, Mathematics, Bioengineering, Bioinformatics, Physics, or a related field, strongly preferred.
• Skilled in data manipulation and analysis, including data cleaning, feature engineering, and model evaluation. Proficient in data visualization tools such as Streamlit, Dash, or Shiny.
• Extensive experience with machine learning and deep learning frameworks like JAX, TensorFlow, PyTorch, and Keras.
• Experience in probabilistic modeling, e.g., Gaussian processes, Bayesian optimization.
• Strong foundation in mathematical and statistical principles, including linear algebra, calculus, and probability.

People Skills:

• Proactive, with a strong initiative in problem-solving.
• Able to work independently and navigate ambiguity effectively.
• Thrives in a fast-paced, interdisciplinary setting.
• Detail-oriented, with a commitment to modernizing and enhancing code through regular reviews and refinements.
• Continually seeking to learn new technologies and explore unfamiliar domains.

Salary and benefits:

• Work with state-of-the-art technologies in life sciences and data sciences.
• Competitive salary with share options and annual inflation adjustments
• Flexible Paid Time Off (PTO) with 25 paid holidays per year (on top of bank holidays)
• Flexible work locations and hours.
• Access to ultra-high-performance computing capabilities and resources.
• Collaborative and supportive work environment.
• Opportunity to make a significant impact in a mission-driven company, working in a quickly growing and exciting environment.
• An inspiring team to work and grow with!

Our aim is to help people and the planet by unleashing the potential of engineering biology, so you must be motivated by the size of the challenge we are tackling in our pursuit. Our culture is casual, but the work is serious. We expect you to be a flexible and focused team player.

How to apply

The applications are considered on a rolling basis, we are closing this role on 31 May. Applications are reviewed throughout the working week and therefore we encourage you to apply soon, as we wish to fill the role soon. Advertising will close quickly when suitable applicants have applied and could be before the closing date.

Multus is an equal-opportunity employer committed to providing a working environment that embraces inclusion, diversity and belonging. If you believe you would add value to our company but don’t meet all the criteria, we would still love to hear from you.