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Senior Principal Scientist, Computational and Systems Pharmacology - San Diego California
Company: Web-atrio Location: San Diego, California
Posted On: 01/22/2025
Senior Principal Scientist, Computational and Systems Pharmacology Status: Archived Company Company Bristol Myers Squibb Location Expiration Expiration 2023-08-01 How to Apply https://careers.bms.com/jobs/R1566175?lang=en-usJob DescriptionWorking with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:careers.bms.com/working-with-us We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team to work on multi-omics perturbation data from compounds in our proprietary library to infer novel mechanism-of-action (MoA) and help build models, facilitating the design of new compounds with desired MoA.This position will work alongside biology and chemistry colleagues and other global Informatics and Predictive Sciences (IPS) teams. The successful applicant will play a key scientific role in analyzing screening data from our compound library to infer their MoA and therapeutic effects on specific disease subtypes. This candidate will also work on developing methods to deepen our understanding of additional protein degradation machinery and work with the chemistry team to incorporate these findings to expand our compound library. This candidate will collaborate extensively with the machine learning and chemoinformatic team to build generative and predictive models to identify rules to design compounds with desired therapeutic effects. We seek a meticulous and scrupulous candidate passionate about learning a new drug discovery paradigm, bringing new medicines to the patients, and comfortable working in a fast-paced and highly collaborative environment.Responsibilities - Interrogate multi-dimensional compound profiling data from proteomics, transcriptomics, and phenomics screens to characterize compounds' MoA.
- Use the compound's MoA to infer their therapeutic effects on specific disease sub-types and design experiments to validate their efficacy in the relevant pre-clinical models.
- Work with other members of the Predictive Sciences team to nominate high-value targets and interrogate our compound library to identify compounds downmodulating them.
- Develop methods to interrogate and deepen our understanding around additional mechanisms to degrade proteins and devise experimental strategies to validate it.
- Devise screening strategies, guide screen execution, and develop corresponding data analytics
- Collaborate with the machine learning team to design de novo molecules with desirable MoA profiles using generative AI approaches.
- Work with informatics and compound management team to manage compound screen and high throughput assay datasets.
- Associate MoA classes of a compound library to its chemical features to elucidate Structure-Activity Relationships.
- Collaborate with internal and external partners to plan and execute various screening and validation strategies for drug discovery programs.
- Author scientific reports and present methods, results, and conclusions to a publishable standard.Basic Qualifications
- Bachelor's Degree in computational biology, or systems biology with 10+ years of academic / industry experience and 2+ years of leadership experience.
- OR Master's Degree in computational biology, or systems biology with 8+ years of academic / industry experience and 2+ years of leadership experience.
- OR PhD in computational biology, or systems biology with 6+ years of academic / industry experience and 2+ years of leadership experience.Preferred Qualifications
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