Senior Principal Scientist, Pharmacology
Cambridge (USA)
Full Time Senior-level / Expert USD 151K - 226K
Novartis
Working together, we can reimagine medicine to improve and extend people’s lives.Job Description Summary
Posting Title:Senior Principal Scientist, Pharmacology
#LI-Onsite
About the role:
The successful candidate will join a dynamic, multi-disciplinary team and play a key role in developing and applying in vivo models to evaluate novel cancer therapies in the early-stage drug discovery pipeline. This is a lab head-based position, where the ideal candidate is expected to lead the design and execution of anti-tumor efficacy and PK/PD studies that evaluate drug candidates in CDX, PDX, and syngeneic models. Applicants are expected to develop novel in vivo models and assays to interrogate key scientific questions and deliver high-value translationally relevant data that can inform clinical development.
Job Description
Key Responsibilities:- Design pre-clinical in vivo studies to explore novel hypotheses, screen candidate molecules, and establish proof-of-concept of new modalities
- Develop in vivo CDX, PDX, and syngeneic models to evaluate anti-tumor activity, PK/PD relationships, relevant biomarkers, and key translational questions
- Manage associate-level scientists
- Collaborate with cross-functional project teams
- Critically analyze and present results within a multidisciplinary team environment
- Careful adherence to animal protocols and proper documentation of data and methods in electronic laboratory notebook
- This position will be located at the Cambridge, MA site and will not have the ability to be located remotely. This position will not require travel.
- PhD with 8-12 years of relevant research experience as a postdoc or in the pharmaceutical/biotech industry, preferably in the field of cancer immunology
- Extensive experience in a variety of molecular biology and flow cytometric skills.
- Strong knowledge of T-cell and/or myeloid biology
- Extensive experience working with CDX and PDX xenograft tumor models and/or syngeneic models
- Expertise in cell culture, PCR, ELISA, western blot, and flow cytometry
- Strong analytical, communication (written and verbal), and organizational skills, including a proficiency with PowerPoint and commonly used data analysis programs, such as Excel and Prism
- A highly motivated, inquisitive, and creative individual, who thrives in a highly matrixed work environment, and can effectively communicate within multidisciplinary project teams.
- A strong background and expertise in cancer immunology is preferred.
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers who are focused on building and advancing a culture of inclusion that values and celebrates individual differences, uniqueness, backgrounds and perspectives. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to fostering a diverse and inclusive workplace that reflects the world around us and connects us to the patients, customers and communities we serve.
Accessibility and reasonable accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Salary Range
$151,200.00 - $226,800.00
Skills Desired
Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Research, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Decision Making, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy- Leadership, Influence, Laboratory, Lifesciences, Machine Learning (Ml), Medical Research, Mentorship {+ 11 more}Tags: Biology Chemistry Data analysis Drug discovery Excel Machine Learning Pharma PhD Postdoc Research
Perks/benefits: Career development Equity / stock options Medical leave Parental leave Salary bonus Signing bonus Startup environment
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