Director, Data Science, AI, & Genome Sciences, AI/ML Platform/Methodology Lead (REMOTE) at Merck in Boise, Idaho, United States Job Description Job Description Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission to delivering towards inventing new medicines that save and improve lives. Core to the Data, AI and Genome Sciences (DAGS) function is an AI/ML-first approach to improving target and biomarker discovery, validation and selection and elucidating complex disease mechanisms. As Director of Data Science, AI/ML Platform Lead you Develop and architect a modular framework to align, integrate, develop, and deploy different AI/ML modeling approaches to streamline insight generation. You will be part of a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and machine learning engineers that strive to identify therapeutic targets. You will report to the Executive Director, Head of AI/ML Primary Responsibilities: + Develop and architect a modular framework to align, integrate, develop, and deploy different AI/ML modeling approaches to streamline insight generation. + Develop and architect a modular framework to align and integrate experimental data and ML/AI modeling results to facilitate wet-lab and dry-lab collaboration/integration. + Collaborate with cross-functional teams to understand project goals and design data-driven framework for target discovery. + Utilize advanced statistical methods, develop machine learning models and methodologies to identify potential drug targets, leveraging large-scale omics data, images, and clinical information. + Develop methodologies to integrate and impute diverse datasets, including omics, images, and clinical information to uncover disease biology and novel drug targets. Required Experience and Skills: + PhD in quantitative field (computer science, math, physics, engineering) and 8+ years experience in developing and deploying ML/AI models and methodologies, including statistical methods, machine learning approaches such as variational autoencoder, probabilistic approaches, deep learning, and foundation models OR MS in quantitative or related field and 10+ years of experience OR BS and 14+ years of experience + Strong experience with Python libraries for data analysis (e.g. Pandas, NumPy, Matplotlib) and machine learning (e.g. scikit-learn, PyTorch) + Experience with ML model life cycle, MLOps, and/or SDK development. + Experience with healthcare and life science data is a plus. + Interest in learning disease biology is a must, prior experience with healthcare and life science data is preferred. + Excellent communication skills and ability to work collaboratively in multi-disciplinary team. #EligibleforERP #DATASCIENCE2020 NOTICE FOR INTERNAL APPLICANTS In accordance with Managers’ Policy – Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions. 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Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission. Current Employees apply HERE (Current Contingent Workers apply HERE (US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. 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This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as ‘remote’. Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education. Expected salary range: $184,800.00 – $290,900.00 Available benefits include bonus eligibility, health care and other insurance To view full details and how to apply, please login or create a Job Seeker account
