Computational Biologist/Biochemist

Nobell Foods is creating cheese and other dairy products from plant-derived dairy proteins for the 99% of people who are unwilling to compromise on taste and price. Nobell is made up of a team of passionate scientists, explorers, and storytellers on a mission to radically change the way we make food, so it’s better for you, the animals and the planet.  We are backed by Bill Gates’ climate fund Breakthrough Energy Ventures, Andreessen Horowitz, and Robert Downey Jr. If you believe in our mission and  are excited about our work, we would love to hear from you!

Nobell is seeking a computational biologist to join our team of scientists to contribute to the development of the Nobell Plant Grown Protein (PGP) platform. This effort will create the next generation of plants that will transform the food system. Success in this position will have a direct impact on the speed of discovery and the company’s growth in this space.

Your Contribution

• Drive computational analysis in collaboration with wet-lab scientists to optimize molecular biology workflows and molecular designs in plants.
• Develop and implement algorithms across a range of in-house acquired data including, but not limited to genetic sequences, RNA expression, protein expression and protein structure.
• Design, build, and operate data pipelines that perform core scientific analyses and provide reports to technical and non-technical stakeholders.
• Contribute insights that will drive our technology strategies, and find ways to improve molecular designs by training and developing predictive models.
• Collaborate with the data engineering team to define the  tools that our data platform should adopt to achieve our goals.

Qualifications

• PhD in a quantitative field (e.g., mathematics, computer science, engineering, statistics, bioinformatics, molecular biology, biochemistry etc.) with 2-4 years of relevant industry experience.
• Knowledge of molecular biology and biochemistry/structural biology is a requirement.
• Knowledge of applied statistics and quantitative modeling
• Experience with Machine Learning and predictive analytics
• Experience with programming in Python or R
• A track record of achievements in designing and performing computational investigations
• Good analytical and problem-solving abilities.
• Experience visualizing data to answer complex scientific questions
• Proven track record for sound decision-making
• Excellent verbal and written communication skills, interpersonal, and presentation skills
• Ability to lead, influence and work well with people at all levels of our company