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Santa Clara, California, United States
Onsite
Band
Level 3
Job Description Summary
Biomedical Research (BR) is the innovation engine of Novartis, focused on advancing transformative technologies to deliver therapeutic breakthroughs for patients. We are seeking a Senior Scientist to bring deep molecular target biology expertise and rigorous, hypothesis-driven experimentation to support mechanism of action (MoA) deconvolution and target validation in multiple diseases areas.
Job Description
Internal Job Title: Senior Scientist II
Position Location: Cambridge, MA, onsite
The Drug Discovery Biology group in Cambridge is seeking a highly motivated Senior Scientist to advance the discovery of novel therapeutics and targets. As part of the global Discovery Sciences department, you will collaborate across disease areas and disciplines, contributing to diverse projects with measurable impact on drug discovery programs. This role offers a unique opportunity to combine deep biology expertise with data-driven approaches in a highly collaborative and innovative environment.
Key Responsibilities:
Independently plan and execute hypothesis‑driven experiments (with guidance from project leadership) to establish mechanistic clarity for targets and pathways.
Design and run functional biology assays relevant to membrane proteins such as GPCRs, ion channels (e.g., signaling, trafficking, functional readouts), selecting the right model and readout for the mechanistic question.
Build MoA packages by integrating genetic/pharmacologic approaches, phenotypic, and pathway data; propose follow‑up experiments that close key uncertainties and reduce risk in target validation decisions.
Apply digital tools, data analysis, and institutional knowledge to interpret results and refine experimental design. Demonstrate literacy in navigating databases (e.g., genetics/omics/protein resources, internal knowledge bases where applicable) to translate evidence into testable hypotheses and prioritize experiments.
Use AI tools appropriately to improve literature synthesis, hypothesis generation, experiment planning, and analysis workflows; demonstrate foundational AI fluency and responsible use aligned with enterprise expectations. Collaborate effectively with computational partners (data science) to connect model outputs with experimentally testable biology.
Contribute intellectually to project success through problem solving, proposing experimental options, and communicating recommendations clearly in team settings.
Work fluidly across disease areas and across disciplines, maintaining effectiveness independent of reporting lines when needed.
Support and mentor junior colleagues/students through coaching on experimental design, execution, and scientific thinking.
Maintain high-quality documentation in ELN, ensuring reproducibility, compliance, and adherence to safety standards.
Essential Requirements:
Recent PhD (within last 2 years) in Cell Biology, Molecular Biology, Pharmacology, Biochemistry, Chemical Biology, Systems Biology, Bioengineering, or related discipline.
Depth in membrane protein biology experience (GPCRs and/or ion channels).
Demonstrated hands‑on experimental strength in molecular/cell biology (e.g., interrogation of functional readouts).
Evidence of strong hypothesis-driven thinking, experimental troubleshooting, and the ability to translate complex biology into clear next experiments.
Data literacy: comfortable using databases and multiple data sources to support research activities and experimental decisions.
Clear written and oral communication skills in English; can communicate results to cross‑functional teams.
Desirable Requirements:
Prior exposure to human disease relevant biology, or strong motivation to build depth quickly; interest in remaining cross‑disease‑area adaptable.
Experience with multi‑modal evidence integration (e.g., genetics + omics + functional assays) for target validation and MoA.
Compensation and Benefits:
The salary for this position is expected to range between $98,700 and $183,300 USD annually. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
To learn more about the culture, rewards and benefits we offer our people click here.
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
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 in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com 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.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings
Salary Range
$98,700.00 - $183,300.00
Skills Desired
Analytical Thinking, Chemical Biology, Chemistry, Clinical Research, Clinical Trials, Collaboration, Curious Mindset, Data Analysis, Detail-Oriented, Ethics, Gene Therapy, Immunology, Machine Learning (ML), Mammalian Cell Culture, Medical Research, Molecular Biology, Patient Care, Science