Senior Analyst, Data Science

About Acadia Pharmaceuticals   Acadia is committed to turning scientific promise into meaningful innovation that makes the difference for underserved neurological and rare disease communities around the world. Our commercial portfolio includes the first and only FDA-approved treatments for Parkinson’s disease psychosis and Rett syndrome. We are developing the next wave of therapeutic advancements with a robust and diverse pipeline that includes mid- to late-stage programs in Alzheimer’s disease psychosis and Lewy body dementia psychosis, along with earlier-stage programs that address other underserved patient needs. At Acadia, we’re here to be their difference.

Please note that this position can be based in San Diego, CA OR San Francisco, CA OR Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

 

Position Summary

The Sr. Analyst, Data Science transforms complex, high-volume data into actionable insights that support informed decision-making across the organization. Applying advanced statistical methods, machine learning, and rigorous analytical approaches, this role partners with product, engineering, marketing, and operations to address high-impact business questions. The focus is on producing reliable, decision-ready analyses that connect data to measurable outcomes and guide strategic execution.

 

Primary Responsibilities

• Design, develop, and implement predictive models and machine learning algorithms to solve complex business problems

• Analyze large, complex datasets to uncover trends, patterns, and opportunities for optimization, including Medical Claims, Procedure, HUB, SP, SD, LTC and Prescription data sets

• Ensure data accuracy and integrity by performing regular system audits and resolving discrepancies to maintain reliable datasets for analytics and decision-making

• Conduct A/B tests, statistical analyses, and causal inference to evaluate business initiatives and product changes

• Translate business needs into data requirements and collaborate with data engineering to ensure high-quality data availability

• Communicate data-driven insights and recommendations clearly and effectively to both technical and non-technical stakeholders

• Develop dashboards and data visualizations to monitor key performance indicators (KPIs) and business health

• Stay current with industry trends, tools, and best practices in data science and analytics

• Other responsibilities as assigned

 

Education/Experience/Skills

Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, Economics or a related field.  Targeting 3 years of progressively responsible experience in data science or an advanced analytics role, preferably in a pharmaceutical or biotech environment.  An equivalent combination of relevant education and experience may be considered.

 

Key Skills:

• Proficiency in Python or R for data analysis and modeling

• Strong SQL and Snowflake skills and experience working with large-scale data systems

• Experience with statistical modeling, machine learning, and A/B testing methodologies

• Excellent communication and presentation skills

• Ability to work independently and manage multiple priorities in a fast-paced environment

• Experience with cloud platforms such as AWS, GCP, or Azure

• Familiarity with data visualization tools like Tableau, Power BI, or Looker

• Knowledge of modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow)

• Background in a specific domain (e.g., pharmaceutical, healthcare) is a plus

• Ability to manage multiple priorities and work cross-functionally in a fast-paced environment

• Must be able and willing to travel on occasion

 

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

 

 

#LI-Hybrid #LI-SL1

In addition to a competitive base