Summary
About the Role
Job Summary:
As part of the Chemical and Analytical Development (CHAD) organization, you will join the Biocatalysis / Protein Engineering Team to unlock the next breakthroughs in biocatalysis. The position is a perfect opportunity for enthusiastic scientists to apply their own expertise in an exciting and innovative pharmaceutical environment. With a solid understanding of enzyme mechanisms and a strong background in (bio)chemistry and molecular biology, you will support the development of novel enzymes to establish efficient and sustainable synthetic routes to key building blocks and APIs of our development portfolio.
Responsibilities
Generate reliable 3D models of enzymes and perform in silico docking for substrates/products/transitions states in the active site of an enzyme.
Design libraries of mutants and timely analyze high throughput data for protein engineering projects.
Conduct genome mining to identify novel biocatalysts.
Carry out quantum mechanics calculations on reaction trajectories to evaluate the feasibility of chemical transformations.
Manage the LIMS system of the Biocatalysis Team and assist the storage of experimental data by developing upload protocols, creating new projects in the database with appropriate user access control and monitoring them to guarantee adherence to best practices for data annotation.
Act as single point of contact for internal and external IT support to ensure smooth update and debugging of software installation.
Define appropriate testing strategies and complete user acceptance tests for new software tools and software updates.
Develop and maintain data analysis pipelines and workflows tailored to high throughput screening data (including ML/AI), considering ease of use in daily operations by multidisciplinary team.
Support molecular biologists with NGS data analysis upon request.
Train team members on best use of software suite developed for enzyme engineering.
Minimum requirements
PhD in computational or structural biology with a minimum of 2 years of postdoctoral or industrial experience
Hybrid profile with both wet and dry lab experience preferred
Experience in protein engineering and/or biocatalysis
Comfortable in the use of structure visualization software such as MOE, Discover Studio, Pymol etc. and experienced in computational protein design software
Solid understanding of statistics
Python and R programming experience
Ability to work with multiple operating systems, including Linux (AWS instance or locally) and Windows
Knowledge of SQL databases (Oracle)
Strong organizational skills
Excellent written and oral communication skills in English essential, basic knowledge of German desired
Team player mindset, comfortable to collaborate with many individuals across disciplines and in multidisciplinary teams
Why Novartis?
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
You’ll receive:
You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards
Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Accessibility & Accommodation : Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
