Bristol Myers Squibb
Sr Principal Scientist/Principal Scientist
Bristol Myers Squibb, Princeton, New Jersey, us, 08543
Overview
Sr Principal Scientist/Principal Scientist role at Bristol Myers Squibb. This opportunity involves discovery toxicology within the Pharmaceutical Candidate Optimization (PCO) organization. The incumbent will identify and address toxicology issues across discovery programs, leverage computational toxicology tools and big data analytics, and provide actionable insights to guide safety decisions. The DT scientist will work with biology, chemistry and biotherapeutics representatives and collaborate with related disciplines to ensure high-quality drug candidates advance into development. The role requires serving as a core discovery team member and delivering insights related to target and compound safety and other critical attributes of drug candidates. Responsibilities
Design, execute, interpret and report toxicology studies for evaluating potential toxicity of new drug targets, including new approach methodologies, within drug discovery; communicate results across multiple disciplines and governance bodies Perform multifaceted data analysis using specialized software, including large data sets and statistical programming to analyze transcriptomics and proteomics for mechanisms of toxicity Apply appropriate models and testing strategies to elucidate mechanisms of toxicity, assess human relevance, and design tools for proactive evaluation and prediction of liabilities Participate in drug discovery teams as a toxicology expert, including communicating issues, experimental strategies for resolution and interpretation of results Discuss and enable transition of drug candidates into the BMS Development organization Contribute to the DT research expertise and laboratory efforts to advance tools and innovation in mechanistic toxicology research Required Qualifications
PhD with 6+ years of academic/industry experience in toxicology or closely related field Experience with computational toxicology approaches (in silico modeling, predictive toxicology, cheminformatics) and/or large-scale data analysis, including machine learning; ability to translate findings into actionable safety insights for drug discovery Proficiency in computational methods; ability to identify emerging trends and advise on their adoption for early toxicology risk assessment Ability to generate thorough toxicology target liability assessments for proposed targets, including suggested approaches and follow-up if warranted Strong communication skills, collaborative mindset with patient-focused values Preferred Qualifications
A Ph.D. in toxicology or related field with 6+ years of postdoctoral and pharmaceutical industry experience in drug discovery is preferred Broad toxicology knowledge with emphasis on molecular mechanisms of toxicity Experience collaborating with computational teams and IT to enhance toxicology prediction capabilities Practical experience with organoids, microphysiological systems or other new approach methodologies Experience in systems pharmacology or metabolism-mediated toxicity Skill in designing mechanistic toxicology studies and models to support in vivo, ex vivo and in vitro studies; ability to design cross-species in vivo studies is desirable Compensation and Benefits
Locations and compensation ranges: Cambridge, MA; Princeton, NJ; San Diego, CA with respective ranges listed in the original posting (examples: Cambridge Crossing $182,160 - $220,729; Princeton $158,390 - $191,930; San Diego $174,230 - $211,129) The starting compensation range is for a full-time employee; additional incentive cash and stock opportunities may be available Benefits include medical, dental, vision, wellbeing resources, 401(k), and other programs; details vary by location and eligibility On-site and Accessibility
BMS occupancy model may include site-essential, site-by-design, field-based, or remote-by-design roles. Onsite requirements and hybrid eligibility vary by role and location. BMS provides accommodations and has a process for reasonable workplace accommodations; inquiries can be directed to adastaffingsupport@bms.com. Equal Employment Opportunity statements and accessibility information are available on the Careers site. Other Information
Data processing for role applications will be handled per applicable data privacy policies. Site-specific notices for residents (e.g., California residents) may apply depending on location.
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Sr Principal Scientist/Principal Scientist role at Bristol Myers Squibb. This opportunity involves discovery toxicology within the Pharmaceutical Candidate Optimization (PCO) organization. The incumbent will identify and address toxicology issues across discovery programs, leverage computational toxicology tools and big data analytics, and provide actionable insights to guide safety decisions. The DT scientist will work with biology, chemistry and biotherapeutics representatives and collaborate with related disciplines to ensure high-quality drug candidates advance into development. The role requires serving as a core discovery team member and delivering insights related to target and compound safety and other critical attributes of drug candidates. Responsibilities
Design, execute, interpret and report toxicology studies for evaluating potential toxicity of new drug targets, including new approach methodologies, within drug discovery; communicate results across multiple disciplines and governance bodies Perform multifaceted data analysis using specialized software, including large data sets and statistical programming to analyze transcriptomics and proteomics for mechanisms of toxicity Apply appropriate models and testing strategies to elucidate mechanisms of toxicity, assess human relevance, and design tools for proactive evaluation and prediction of liabilities Participate in drug discovery teams as a toxicology expert, including communicating issues, experimental strategies for resolution and interpretation of results Discuss and enable transition of drug candidates into the BMS Development organization Contribute to the DT research expertise and laboratory efforts to advance tools and innovation in mechanistic toxicology research Required Qualifications
PhD with 6+ years of academic/industry experience in toxicology or closely related field Experience with computational toxicology approaches (in silico modeling, predictive toxicology, cheminformatics) and/or large-scale data analysis, including machine learning; ability to translate findings into actionable safety insights for drug discovery Proficiency in computational methods; ability to identify emerging trends and advise on their adoption for early toxicology risk assessment Ability to generate thorough toxicology target liability assessments for proposed targets, including suggested approaches and follow-up if warranted Strong communication skills, collaborative mindset with patient-focused values Preferred Qualifications
A Ph.D. in toxicology or related field with 6+ years of postdoctoral and pharmaceutical industry experience in drug discovery is preferred Broad toxicology knowledge with emphasis on molecular mechanisms of toxicity Experience collaborating with computational teams and IT to enhance toxicology prediction capabilities Practical experience with organoids, microphysiological systems or other new approach methodologies Experience in systems pharmacology or metabolism-mediated toxicity Skill in designing mechanistic toxicology studies and models to support in vivo, ex vivo and in vitro studies; ability to design cross-species in vivo studies is desirable Compensation and Benefits
Locations and compensation ranges: Cambridge, MA; Princeton, NJ; San Diego, CA with respective ranges listed in the original posting (examples: Cambridge Crossing $182,160 - $220,729; Princeton $158,390 - $191,930; San Diego $174,230 - $211,129) The starting compensation range is for a full-time employee; additional incentive cash and stock opportunities may be available Benefits include medical, dental, vision, wellbeing resources, 401(k), and other programs; details vary by location and eligibility On-site and Accessibility
BMS occupancy model may include site-essential, site-by-design, field-based, or remote-by-design roles. Onsite requirements and hybrid eligibility vary by role and location. BMS provides accommodations and has a process for reasonable workplace accommodations; inquiries can be directed to adastaffingsupport@bms.com. Equal Employment Opportunity statements and accessibility information are available on the Careers site. Other Information
Data processing for role applications will be handled per applicable data privacy policies. Site-specific notices for residents (e.g., California residents) may apply depending on location.
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