BS-MS Scientific Associate - in vivo Pharmacology -Aging Group

Job Location
250 Massachusetts Ave
Cambridge, MA 02139
Job Description

The Aging group in Cambridge is looking for a highly motivated Associate-level scientist to join an interdisciplinary team dedicated to work in preclinical pharmacology models of human disease, with a primary focus on diseases associated with aging and frailty. The group is responsible for validating targets implicated in diseases caused by pathway deregulation, and testing drug candidates that modulate these pathways in disease models. 

The successful candidate will take part in: 

- Conducting in vivo and ex vivo experiments on animal models of diseases, including colony maintenance of genetic disease models, development and induction of disease models, delivery of candidate drug regimens, making clinical observations, and harvesting and analyzing samples for the evaluation of drug levels, histology, and molecular endpoints. 

- Assist in developing and implementing of new animal models and assays 

- Planning and performing Pharmacokinetic (PK)/Pharmacodynamic (PD) studies 

- Planning, execution, documentation and analyses of experiments 

- Some knowledge of biochemistry (protein and RNA assays) and/or histology is desirable 
EEO Statement The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.


Minimum requirements • B.A. or B.S. or M.A or equivalent training or experience in pharmacology, physiology 
• Experience in establishing animal models, with an emphasis on diseases associated with aging and frailty 
• Demonstrated expertise in PK/PD/efficacy experimental design and execution 
• Drug discovery experience up through late preclinical programs - leading late stage projects 
• Experience in working with a multidisciplinary team of scientists 
• Basic knowledge of statistics and experience with common statistical software for biomedical research is desirable 
• Proficiency with Microsoft Office (Word, Excel and PowerPoint) 
• Strong written, oral and record keeping skills

An analysis appearing in PeerJ finds that social media mentions of a paper may lead to increased citations.

NIH's Michael Lauer looks at the number of grants, their amount, and funding success rates at the agency for last year.

At Nature, Johns Hopkins' Gundula Bosch describes her graduate program that aims to get doctoral students thinking about the big picture.

Patricia Fara writes about childcare funding, and women in science and science history at NPR.