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Msl Jobs in California (NOW HIRING)

Ipsen Group

Field Medical Director

Berkeley, CA · On-site

$250 - $290/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Direct MSL Team to optimize USMA strategy, field responsibilities, scientific knowledge & performance to support TL/HCP engagements.* Provide oversight to employee development, year-end & midyear ...

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MSL information

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$19

$73

$113

How much do msl jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for msl in California is $73.37, according to ZipRecruiter salary data. Most workers in this role earn between $34.42 and $100.82 per hour, depending on experience, location, and employer.

What is an MSL?

Medical Science Liaisons (MSLs) are specialized professionals within the pharmaceutical, biotechnology, and medical device industries who act as scientific experts and links between the company and the medical community. Their primary role is to communicate complex scientific information to healthcare providers, answer clinical questions, and support research initiatives. MSLs often engage in educational activities, provide insights from the field to their company, and help ensure that products are used safely and effectively based on the latest scientific evidence.

What does an MSL do?

As a medical science liaison (MSL), you work in the pharmaceutical, biotechnology, or medical device industries, concentrating on a specific therapeutic area, such as biotechnology, oncology, cardiology, or women’s health. Your responsibilities revolve around ensuring that health care products are effective, and you collaborate with researchers, marketing teams, and business leaders throughout the company to fulfill your duties. Additionally, you develop relationships with prominent physicians at leading universities and hospitals and serve as a liaison between them and stakeholders within your company. You may host advisory boards and solicit their opinions and insights regarding the development of medicines, devices, and other therapies.

What are the key skills and qualifications needed to thrive as an MSL, and why are they important?

To thrive as a Medical Science Liaison, you need a strong background in life sciences or pharmacy, often supported by an advanced degree such as a PharmD, PhD, or MD. Familiarity with CRM systems, scientific databases, and clinical trial data is vital, along with relevant certifications like MSL-BC being advantageous. Exceptional communication, relationship-building, and presentation skills help MSLs effectively engage with key opinion leaders and healthcare professionals. These skills ensure credible scientific exchange, foster trust, and support the strategic objectives of the organization in a complex healthcare environment.

How does an MSL typically collaborate with healthcare professionals and internal teams?

Medical Science Liaisons (MSLs) play a crucial role in bridging scientific knowledge between pharmaceutical companies and healthcare professionals. They frequently interact with key opinion leaders (KOLs) to provide up-to-date clinical information and gather insights from the field. Internally, MSLs collaborate closely with medical affairs, regulatory, and commercial teams to ensure scientific consistency and support product launches. This collaborative environment requires strong communication skills and the ability to translate complex data into practical insights for both external and internal stakeholders.

What is the difference between Msl vs Medical Science Liaison?

AspectMedical Science Liaison (MSL)Medical Science Liaison (MSL)

Since the comparison is between the same job title, the key differences often lie in specialization, therapeutic focus, or company-specific roles. Generally, MSLs are responsible for scientific exchange, education, and supporting clinical trials within pharmaceutical or biotech companies. They typically hold advanced degrees like PhDs or PharmDs and work in a highly scientific environment. The role involves collaboration with healthcare professionals and internal teams to ensure accurate scientific communication. Overall, MSLs are vital for bridging scientific knowledge and medical practice in the industry.

What degree do you need for MSL?

A Medical Science Liaison (MSL) typically needs at least a master's degree in a relevant field such as life sciences, pharmacy, or medicine. Many MSLs also have a doctoral degree like a PhD or PharmD, and strong communication skills are essential for the role.
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MSL jobs near you
Infographic showing various Msl job openings in California as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Temporary, and 1% Contract. Highlights an 70% Physical, 9% Hybrid, and 21% Remote job distribution, with an average salary of $152,610 per year, or $73.4 per hour.

AI Research Scientist, Pre-training Data - MSL FAIR

Meta

Menlo Park, CA • On-site

$184K - $257K/yr

Full-time

Re-posted 20 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for researchers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL.
Responsibilities
Collaborate with cross-functional teams to develop Meta's next foundational models
• Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
• Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
• Architect efficient and scalable data curation systems and pipelines
• Execute on high priority projects in pre-training, mid-training, or post-training data curation
• Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
• Lead complex technical projects end-to-end
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Computer Science or a related technical field
• 2+ years of industry research experience in LLM/NLP or related AI/ML models
• Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
• Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs
• Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI
Preferred Qualifications
• Experience working on frontier-quality/state-of-the-art Large Language Models
• Multiple first-author publications in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
• Hands-on experience with modeling frameworks like PyTorch
• Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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