Job Description Summary

We are seeking a highly motivated and experienced Principal Scientist / Biophysicist to join our dynamic team in La Jolla, CA. You will work on-site full-time and bring deep expertise in biophysical assay development and high-throughput screening. If you have a passion for advancing scientific discovery and thrive in a fast-paced, collaborative, and cross-disciplinary environment, we encourage you to apply.

Job Description

Internal Job Title: Principal Scientist I/Principal Scientist II

Position Location: onsite, La Jolla, CA #LI-onsite

We are seeking a highly motivated and experienced Principal Scientist / Biophysicist to join our dynamic team in La Jolla, CA. You will work on-site full-time and bring deep expertise in biophysical assay development and high-throughput screening. If you have a passion for advancing scientific discovery and thrive in a fast-paced, collaborative, and cross-disciplinary environment, we encourage you to apply.

Key Responsibilities:

• Design, develop, and optimize biophysical assays (e.g., SPR, BLI) for characterization of small molecules.

• Execute routine assays for defining structure-activity relationships.

• Implement and manage automation solutions to enhance assay throughput and data quality.

• Collaborate with cross-functional teams to integrate new technologies and workflows into ongoing research projects.

• Analyze, interpret, and present scientific data to internal and external stakeholders.

• Maintain detailed laboratory records, contribute to the preparation of research reports and publications, and represent the team through internal presentations.

Essential Requirements:

• Ph.D. (post-doc preferred), in a relevant scientific discipline (e.g., Biophysics, Biochemistry, Bioengineering, or a related field), with 2+ years of industrial experience in drug discovery

• Deep expertise in designing, validating, executing and troubleshooting biophysical assays.

• Ability to manage multiple projects independently and adapt to evolving research priorities.

• Ability to innovate, keep up with the expanding field, recommend and bring in new technologies.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent communication and teamwork abilities.

Desirable Requirements:

• Experience in integrating novel or emerging technologies into [high-throughput] screening workflows.

• Familiarity with data analysis software and electronic laboratory management systems.

• Hands-on experience with laboratory automation platforms and liquid handling systems.

The salary for this position is expected to range between $108,500 and $201,500 per year for Principal Scientist I, and between $119,700 and $222,300 per year for Principal Scientist II. The final salary offered is determined based on factors like, but not limited to, relevant skills andexperience, and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of therole, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life anddisability benefits, a 401(k) with company contribution and match, and a variety of other benefits. Inaddition, 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.

Salary Range

$108,500.00 - $201,500.00

Skills Desired

Analytical Skill (Inactive), Analytical Skill (Inactive), Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills (Inactive), Curious Mindset, Data (Inactive), Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory (Inactive), Leading Project Teams, Lifesciences (Inactive), Machine Learning (ML), Management (Inactive), Medical Research {+ 10 more}