**Senior Scientist – Biotransformation** 18 month engagement Our client in Groton, CT, a leader in drug discovery and development, is seeking a **Senior Scientist – Biotransformation** to join their Pharmacokinetics, Dynamics, and Metabolism (PDM) team focused on small molecule drug discovery. In this role, you will support and guide the understanding of human drug metabolism through curation and interpretation of large-scale experimental metabolite ID data to drive predictive modeling efforts to maximize the value of the curated data. This is a long-term engagement offering the opportunity to contribute to cutting-edge research with real-world therapeutic impact. **Key Responsibilities:** + Analyze high-resolution mass spectrometry data (HRMS), including MS2 fragmentation for small molecule structural elucidation. + Interpret metabolic pathways using knowledge of human drug-metabolizing enzymes and common metabolite types. + Collaborate with computational ADME staff to develop and apply computational models to support biotransformation research in small molecule drug discovery. + Leverage spreadsheets and/or BI tools (e.g., Excel, Spotfire, Tableau, JMP) for data visualization and analysis. + Apply statistical methods to derive insights from complex datasets. + Contribute to internal discussions and presentations of data insights and recommendations. **Required Qualifications:** + PhD in a relevant field (e.g., Pharmaceutical Sciences, Chemistry, Biochemistry) or MS with 2+ years of relevant industry experience. + Strong understanding of: + Human drug metabolism enzymes + Common metabolite structures + General organic chemistry + Experimental systems for assaying metabolism + Demonstrated experience analyzing HRMS data, including MS2 fragmentation patterns. + Keen interest in computational approaches and data-driven science. + Proficiency with data visualization tools (Excel, Spotfire, Tableau, JMP). + Solid foundation in statistical principles (through coursework or practical application). + Strong analytical and problem-solving skills. **Preferred Qualifications:** + Experience with automated analysis of HPLC-HRMS or HPLC-UV-HRMS datasets. + Familiarity with HPLC-UV data analysis. + Proficiency in at least one programming language (e.g., Python, R). **Why Join Us?** + Be part of a collaborative and innovative team at the intersection of drug metabolism and data science. + Contribute directly to projects that advance therapeutic development. + Enjoy opportunities for scientific growth and long-term professional engagement. **About ManpowerGroup, Parent Company of:** **Manpower, Experis, Talent Solutions, and Jefferson Wells** _ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands –_ **_Manpower, Experis, Talent Solutions, and Jefferson Wells_** _–_ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent. ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.