> Markdown version of [/jobs/ext/2074520-scientist-dmpk](https://www.wearedevelopers.com/jobs/ext/2074520-scientist-dmpk). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Scientist, DMPK - **Company:** Alnylam Pharmaceuticals, Inc. - **Location:** Cambridge, MA, United States - **Experience:** Expert - **Salary:** $110,400.0 - $165,600.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Programming Tools, WinNonlin Software - **Published:** August 15, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88049564/1 ## About the Role The ideal candidate will have a strong background in quantitative pharmacology, PK/PD modeling, and pharmacokinetic data analysis, a solid understanding of ADME and drug disposition, and exceptional problem-solving and communication skills to successfully collaborate with multiple project teams in a matrixed and fast-paced environment. This is an exciting opportunity to join a vibrant team and interact with highly motivated scientists across a broad array of disciplinary expertise areas., * Ph.D. in pharmaceutical sciences, pharmacology, chemical or biomedical engineering, or a related quantitative discipline with 0+ years of relevant experience; or exceptional non-PhD (Masters degree with 5+ years, or Bachelors degree with 10+ years of relevant industry experience in DMPK or quantitative pharmacology. * Strong foundation in quantitative pharmacology and PK/PD modeling, with hands-on experience in non-compartmental and compartmental data analysis. * Exposure to PBPK, population PK, or systems/mechanistic pharmacology modeling is a strong plus. * Proficiency with modeling, simulation, and programming tools (e.g., Phoenix WinNonlin, Monolix, R). * Solid understanding of ADME principles and the drug discovery and development process; knowledge of oligonucleotide therapeutics (e.g., siRNA, ASO) or other novel modalities is a plus. * Demonstrates strong problem solving ability and adaptability, in and out of their comfort zone * Detail-oriented with exceptional organizational skills, and the ability to handle multiple projects, and thrive in a fast-paced, team-oriented environment * Has strong interpersonal skills to enable collaboration with cross-functional teams. Possesses excellent verbal and written communication skills. ## Description * Support DMPK strategy across drug discovery and development by designing, executing, and interpreting in vitro and in vivo ADME and PK/PD studies for siRNA and other therapeutic modalities. * Apply quantitative pharmacology approaches-including non-compartmental analysis, compartmental PK/PD, PBPK, and mechanistic/systems modeling-to characterize drug disposition and exposure-response relationships. * Integrate PK, PD, and biomarker data to inform candidate selection, human dose projection, and first-in-human dose predictions. * Build, qualify, and clearly document models and simulations using tools such as Phoenix WinNonlin, Monolix, R, and other equivalent tools. * Contribute to the design of preclinical and translational studies that support progression of candidates from discovery through clinical development. * Collaborate with cross-functional project teams (bioanalysis, chemistry, biology, toxicology, and clinical pharmacology) to analyze data and communicate quantitative pharmacology insights. * Prepare clear, well-documented analyses, reports, and presentations, and contribute to regulatory submissions as needed. * Complete projects in a timely and clearly documented manner while maintaining high scientific and data-quality standards. * Stay current with emerging modeling methodologies and scientific literature to continuously strengthen the team's quantitative capabilities. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI Pair Programming with GitHub Copilot at SAP: Looking Back, Looking Forward!](https://www.wearedevelopers.com/videos/1546-ai-pair-programming-with-github-copilot-at-sap-looking-back-looking-forward) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Designing How Work Feels: The Science Behind Sanofi’s Workplace Experience](https://www.wearedevelopers.com/videos/1848-designing-how-work-feels-the-science-behind-sanofi-s-workplace-experience) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [5 Future Technologies Coming in 2025](https://www.wearedevelopers.com/magazine/380-5-future-technologies-coming-in-2025)