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Role Summary
Senior Scientist, Discovery & Translational Research at Alnylam. This role focuses on skeletal muscle or cardiovascular research within the Discovery and Translational Research team, spanning from discovery through clinical development, including preclinical disease models and leading Development Candidate discovery efforts. Onsite in Cambridge, MA.
Responsibilities
- Work closely with Target Discovery, Human Genetics, Multi-Omics, Platform, and Clinical Research teams
- Acquire deep knowledge of target biology to serve as a Research Lead for specific target(s)
- Design and execute proof-of-concept experiments in animal and in vitro disease models to support targets at various stages of development
- Design studies, coordinate activities, and lead from the bench
- Oversee lead discovery activities for the selection of drug candidates for further development
- Develop assays to monitor target engagement/pharmacodynamic responses
- Work with multifunctional teams to shepherd a drug candidate through the lead selection and development process to the clinic
- Initiate and manage relationships with CROs and/or academic collaborators, including development of research plans and data analysis
- Mentor junior scientists
- Collaborate and communicate results with key stakeholders throughout the organization
Qualifications
- PhD + postdoc in Cell Biology, Molecular Biology, Biochemistry, Immunology, Genetics, or a related field
- At least 3+ years of industry experience, or equivalent
- Expertise in skeletal muscle (e.g., rare muscle diseases) or cardiovascular basic research or translational medicine (e.g., heart physiology, heart failure, arrhythmias)
- Existing focus on disease biology and prior experience with mammalian disease models
- Strong publication record
- Solid organizational skills and the ability to multitask
- Strong interpersonal and communication skills, experience working on teams, willingness to learn new biology, passion for lab work
Skills
- Target biology knowledge, experimental design, and data analysis
- Ability to mentor and lead scientific teams
- Collaborative communication across multidisciplinary groups