Scientist, Computational Biophysics and Data Analytics
Organisation Name: Johnson & Johnson Family of Companies
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Job Description:
At Johnson & Johnson, we use technology and the power of teamwork to discover new ways to prevent and overcome the world’s the most significant healthcare challenges. Our Corporate, Consumer Health, Medical Devices, and Pharmaceutical teams leverage data, real-world insights, and creative minds to make life-changing healthcare products and medicines. We're disrupting outdated healthcare ecosystems and infusing them with transformative ideas to help people thrive throughout every stage of their lives. With a reach of more than a billion people every day, there’s no limit to the impact you can make here. Are you ready to reimagine healthcare? Here, your career breakthroughs will change the future of health, in all the best ways. And you’ll change, too. You’ll be inspired, and you’ll inspire people across the world to change how they care for themselves and those they love. Amplify your impact. Join us! Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting for a Scientist, Computational Biophysics and Data Analytics for our site in Malvern, PA. At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working to create a world without disease. Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us. We bring together the best minds and pursue the most promising science. We are Janssen. We collaborate with the world for the health of everyone in it. Learn more at www.janssen.com and follow us @JanssenGlobal. Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies. The successful candidate will work in the large molecule Drug Product Development (DPD) department. This role requires qualified candidate with expertise in Computational Biophysics and Data Analytics, who will apply computational methods, including homology modeling of antibodies, molecular dynamics, intrinsic property calculations, coarse-grained modeling, and machine learning/artificial intelligence (ML/AI) to guide formulation selection/optimization. The candidate will support various drug development projects and will participate in multi-disciplinary teams including biologists, chemical engineers, and pharmacists providing key expertise in the use and interpretation of structural data related to drug development. Key Responsibilities: Design and execute computational studies to understand how antibodies interact with their environment for stability, processing, and administration. Design computational models to predict protein-protein and protein-excipient interactions. Communicate clearly the results of computational experiments to team members facilitating the formulation selection/optimization of new antibodies. Build algorithms for machine learning of formulation data sets and generate statistical models with predictive ability Support experimental design though advanced DOEs and statistical data analysis. Correlate predicted protein behaviors/interactions to real time experimental outputs and stability. Identifies new scientific/technical opportunities, external partnerships for drug product development and outsourcing of non-core activities; Qualifications Experience And Skills: Required: A minimum of a PhD in Computational Science or related discipline with 0-2 years. Familiarity with one or more standard computational chemistry/biophysics packages (examples might include: Gromacs, Maestro/Schrodinger, MOE/Chemical Computing Group tools) Experience in computational biophysics, modeling and advanced data analytics to support large molecule drug product development Ability to use, build, and optimize computational models to predict protein-protein and protein-excipient interactions. Strong understanding and knowledge of protein stability and biophysical techniques for characterization. Technical writing skills, including the ability to maintain high quality documentation and prepare reports, SOPs or other technical reports is required. Preferred: Programming in a Linux environment using a scripting language such as Python Ability to script work-flows and implement new algorithms Experience working with multi-disciplinary teams Expertise in large scale data handling (i.e.. extraction, manipulation, and merging multiple data sources) Experience with machine learning/artificial intelligence (ML/AI) Strong track record of publication in topics involving protein structure analysis Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Primary Location United States-Pennsylvania-Malvern- Organization Janssen Research & Development, LLC (6084) Job Function R&D Requisition ID 7854200708
