Computational Chemistry Senior Research Scientist

Computational Chemistry Senior Research Scientist Join to apply for the Computational Chemistry Senior Research Scientist role at Vertex Pharmaceuticals Computational Chemistry Senior Research Scientist Join to apply for the Computational Chemistry Senior Research Scientist role at Vertex Pharmaceuticals Get AI-powered advice on this job and more exclusive features. Job Description We are seeking a highly motivated Computational Chemistry Senior Research Scientist to join Vertex’s research site in San Diego, California. This individual will be responsible for contributing to both lead identification and optimization programs using methods encompassing all computational aspects of drug discovery. This individual will work collaboratively with interdisciplinary project teams to provide expertise in cheminformatics, physics-based methods, and molecular design to deliver drug candidates. Contributing to improving foundational computational capabilities across the department is preferred and achieved through collaboration with the global DCS group. Job Description We are seeking a highly motivated Computational Chemistry Senior Research Scientist to join Vertex’s research site in San Diego, California. This individual will be responsible for contributing to both lead identification and optimization programs using methods encompassing all computational aspects of drug discovery. This individual will work collaboratively with interdisciplinary project teams to provide expertise in cheminformatics, physics-based methods, and molecular design to deliver drug candidates. Contributing to improving foundational computational capabilities across the department is preferred and achieved through collaboration with the global DCS group. Responsibilities Collaborate with scientists at our San Diego drug discovery site and across our network to maximize the impact of computational efforts on drug discovery projects Ensure effective interdepartmental communication and implementation of in-silico work streams related to drug discovery Work with others in Computational Drug Design and the Chemical Data Science group to identify and apply new methodologies to increase impact of computation on drug discovery teams Incorporate innovative strategies and methodologies to address critical project issues Education And Experience Ph.D. (or equivalent degree) in engineering, science or math and 2-5 years of productive, relevant post-doctoral employment experience, or Master's Degree (or equivalent degree) in similar fields and 5+ years of productive, relevant employment experience, or Bachelor's Degree (or equivalent degree) in similar fields and 8+ years of productive, relevant employment experience Strong experience in applying molecular modeling methods to structure, ligand and fragment-based drug discovery Expert knowledge of the state-of-the-art for computational chemistry and its application in drug discovery, such as FEP and ML techniques Experience with commercial molecular modeling and data mining software Excellent oral and written communication skills Ability to multi-task and set priorities on multiple projects Preferred Requirements Expertise with a wide array of computational methods preferably including structure and ligand-based virtual screening, programming, statistics, data analysis, QSAR derivation and application, and ADME modeling Pay Range $123,400 - $185,100 Disclosure Statement The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status In this Hybrid-Eligible role, you can choose to be designated as: Hybrid: work remotely up to two days per week; or select On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at View email address on click.appcast.io Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Other Referrals increase your chances of interviewing at Vertex Pharmaceuticals by 2x Get notified about new Senior Research Scientist jobs in San Diego, CA . 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