Director, Data Science – Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics - Boston
1 month ago
Job Description
We are seeking a visionary leader for the position of Director, Data Science within our Pharmacokinetics Dynamics Metabolism and Bioanalytics department.This role is responsible for driving the overarching data science strategy leading a world-class team of data scientists pioneering the development deployment of cutting-edge AI/ML innovations.
Key Responsibilities
- Define execute comprehensive data science strategy Coach mentor lead high-performing data science team to deliver transformative solutions Maintain strong relationships with partner functions oversee development deployment novel data science innovations deploy Generative AI Large Language Models create scalable platforms R D analytics develop generative models scientific applications GNNs Transformers design computational frameworks enhance predictivity augment decisions complex therapeutic portfolios forge collaborative partnerships internal R D leaders across Chemistry Biology DMPK Bioanalysis Toxicity Formulation Translational Medicine engage cross-functional stakeholders identify manage high ROI projects identify opportunities strategic external collaborations academic institutions institutes represent company AI events Required Qualifications Experience Ph.D MS scientific computational discipline e.g Biochemistry Biophysics Computational Biology Chemistry Engineering Computer Science related STEM field PhD minimum years experience pharmaceutical industry proven track record progressing leadership roles OR MS years experience domain knowledge multiple R D functions including molecular design bioanalysis ADME PKPD translational digital clinical trials expert-level knowledge modern AI ML Generative AI LLMs Graph Neural Networks GNNs Transformers applied scientific challenges excellent communication skills explain complex concepts appropriate audiences demonstrated experience building leading developing high-performing teams project leadership management experience strong record publication top-tier peer-reviewed machine learning conferences journals Preferred Skills Current Employees apply HERE Contingent Workers apply HERE US Puerto Rico Residents Only Our company committed inclusion ensuring candidates engage hiring process exhibits true capabilities Please click here need accommodation application hiring process As Equal Employment Opportunity Employer provide equal opportunities all employees applicants employment prohibit discrimination race color age religion sex sexual orientation gender identity national origin protected veteran status disability status applicable legally protected characteristics federal contractor comply affirmative action requirements protected veterans individuals disabilities EEOC Know Your Rights EEOC GINA Supplement We proud company embraces value bringing talented committed people diverse experiences perspectives skills backgrounds breakthrough innovation when people diverse ideas broad experiences backgrounds skills come together inclusive environment encourage colleagues respectfully challenge one anothers thinking approach problems collectively Learn more rights California Colorado US State Acts U S Hybrid Work Model Effective September employees office-based positions will working Hybrid work consisting total days Monday Thursday although specific days may vary site organization Friday designated remote-working day unless business critical tasks require on-site presence This Hybrid work model does not apply field-based positions facility-based manufacturing research positions located Company site covered collective-bargaining agreement agreement provides hybrid work please no phone calls emails Employee Status Regular Relocation Domestic International VISA Sponsorship Yes Travel Requirements No Travel Required Flexible Work Arrangements Hybrid Shift Not Indicated Valid Driving License No Hazardous Material(s) n/a Job Posting End Date January January *A job posting effective until PM day BEFORE listed job posting end date Please ensure you apply to job posting later than day BEFORE job posting end date Requisition ID R378875}
Job description
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