• Lead and oversee the design and implementation of high-quality AI solutions • Define architectural frameworks and integrate AI systems with existing infrastructures • Design robust software development processes • Participate in cross-functional projects ensuring alignment with organizational goals and support implementation of innovative AI architectures

Title: Associate Scientist - Protein Biochemistry (siRNA Therapeutics, Lipid Nanoparticles) remote type Hybrid locations TARRYTOWN time type Full time job requisition id R46533 Job Description: Regeneron's Product Biochemistry group, located in Tarrytown NY, is seeking an Associate Scientistwho will be responsible for providing in-depth characterization of nucleic acid therapeutics and Lipid Nanoparticles (LNP). In this exciting role, you will be expected to participate in technology innovation efforts aimed at enhancing our understanding of oligonucleotides and LNPs in solution and address both pre-clinical and late-stage program needs. A Typical Day in the Role of Associate Scientist Might Look Like: - Develop analytical methods and conduct biochemical and biophysical characterization experiments to elucidate quality attributes of gene therapy candidates. Help solve problems in real time. - Provide support for basic research efforts. Ability to adapt and/or optimize methods described in the literature. - Conduct time-sensitive biochemical and extended characterization of siRNAs to meet regulatory timelines. - Provide input on experimental design and suggest method adaptations to address specific needs of a program or attributes of colloidal systems. - Additional responsibilities will include method development of advanced technologies that evaluate the purity and/or thermodynamic and hydrodynamic interactions of siRNAs, mRNAs, CRISPR gRNA and LNP-nucleic acid complexes. - Support forced degradation studies evaluating environmental stressors and their impact on the stability of siRNA, LNPs and their cargos. - Document experiments, results, and findings in electronic laboratory notebook; presents work at group and departmental meetings, contributes to drafting of protocols, method development reports, regulatory submission sections, and peer-reviewed publications. - Maintain instruments, troubleshoots instrumental/experimental problems, and order/maintain supplies. This Role Might Be For You If You Have: - Excellent oral and written communication skills - Strong initiative and drive to complete challenging tasks with a sense of urgency - Ability and desire to learn new technologies - A desire to work both independently and within a collegial and collaborative environment BS or MS in Biophysics, Biochemistry, Chemistry, Chemical Engineering, or related field with a minimum of 0-2 years or BS with 2+ years of relevant experience. A fundamental understanding of practical biophysical chemistry of macromolecules in solution is essential. Basic knowledge of oligonucleotide properties, lipid biochemistry and gene editing therapeutics is important. Good laboratory practice skills preparing samples, calculating concentrations, documenting, and maintaining cleanliness are critical. Basic practical experience in automated chromatography (FPLC, H/UPLC), spectroscopy (UV-Vis, fluorescence, FTIR and CD) and/or multi-angle/dynamic light scattering (MALS/DLS) of macromolecules is important. Experience with mass spectrometry (MS), NMR, ELSD/CAD, charge-based methods, and/or advanced imaging skills are a bonus. The position is primarily on-site with partially remote (hybrid) schedule. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $70,300.00 - $110,100.00

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves  While each project involves unique tasks, contributors may:  - Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) - Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn) - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction - Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility - Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency - Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) - Incorporate big data processing scenarios requiring scalable computational approaches - Verify solutions using Python with standard data science libraries and statistical methods - Document problem statements clearly with realistic business contexts and provide verified correct answers What we look for This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - 5+ years of hands-on data science experience with proven business impact - Portfolio of completed projects and publications showcasing real-world problem-solving - Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) - Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications - Expert with SQL and database operations for data manipulation and analysis - Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) - Understanding of MLOps practices and model deployment workflows - Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) - Strong written English (C1+). How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $90 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves  While each project involves unique tasks, contributors may:  - Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) - Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn) - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction - Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility - Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency - Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) - Incorporate big data processing scenarios requiring scalable computational approaches - Verify solutions using Python with standard data science libraries and statistical methods - Document problem statements clearly with realistic business contexts and provide verified correct answers What we look for This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - 5+ years of hands-on data science experience with proven business impact - Portfolio of completed projects and publications showcasing real-world problem-solving - Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) - Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications - Expert with SQL and database operations for data manipulation and analysis - Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) - Understanding of MLOps practices and model deployment workflows - Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) - Strong written English (C1+). How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $90 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.