1

Data Science Associate Jobs in California (NOW HIRING)

Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

Quantifind is a data science technology company whose AI platform uncovers signals of risk across ... Associate Data Scientist position on our Data Science team in Palo Alto, California. Our ...

Associate Data Scientist

Palo Alto, CA

$69K - $69K/yr

Quantifind is a data science technology company whose AI platform uncovers signals of risk across ... Associate Data Scientist position on our Data Science team in Palo Alto, California. Our ...

next page

Showing results 1-20

Data Science Associate information

See California salary details

$56.7K

$67.1K

$127.3K

How much do data science associate jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data science associate in California is $67,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $58,700.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in California? The most popular types of Data Science jobs in California are:
What are popular job titles related to Data Science Associate jobs in California? For Data Science Associate jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Data Science Associate jobs? Cities in California with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in California as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $67,148 per year, or $32.3 per hour.
Associate Director/Senior Manager, Data Science (Statistical Programming)

Associate Director/Senior Manager, Data Science (Statistical Programming)

Alumis

South San Francisco, CA

Full-time

Medical, PTO

Posted 7 days ago


Job description

Alumis Inc. is a precision medicines company with the mission to transform the lives of patients with autoimmune diseases. Even with treatment innovations of the last two decades, many patients with immunologic conditions continue to suffer - our goal is to fundamentally change the outcomes for these patients.

Alumis Inc is a precision medicines company with the mission to transform the lives of patients with autoimmune diseases. Even with treatment innovations of the last two decades, many patients with immunologic conditions continue to suffer – our goal is to fundamentally change the outcomes for these patients.

We are seeking a Data Science leader within Statistical Programming to advance analytical insights across clinical development while supporting high-quality, submission-ready deliverables. You will employ modern data science methods and tools such as machine learning, generative AI, and agentic AI to strengthen statistical programming and elevate analytical insight generation. You will contribute to both clinical data science (enhancing analyses, insights, and submissions) and operational/enterprise analytics (improving efficiency, scalability, and decision-making across Biometrics).

Depending on level, this individual will operate as a hands-on study/program contributor (Senior Manager) or a program-level leader influencing strategy and cross-functional execution (Associate Director).

Essential Responsibilities Clinical Evidence Generation, Analytical Insights, and Regulatory Engagement
  • Develop and deliver data science analyses to support clinical development, regulatory submissions, publications, and exploratory analyses.
  • Partner with Biostatistics to support innovative analyses (e.g., simulations, external controls, RWE integration, predictive analytics using ML/GenAI models).
  • Ensure alignment between exploratory analytics and CDISC-based submission deliverables; maintain documentation for inspection readiness.
  • Support analysis of emerging data types (e.g., biomarkers, digital endpoints, real-world data, text, imaging), ensuring interpretability and quality.
  • Contribute to responses to regulatory queries and preparation of submission materials involving advanced analytics.
Technical Execution & Innovation
  • Develop and maintain analysis workflows using SAS and/or open-source tools (R/Python), balancing innovation with compliance.
  • Build reusable tools, macros, templates and pipelines to improve efficiency, reproducibility, and scalability.
  • Contribute to reproducible analysis pipelines (e.g., version control, data engineering and pipeline automation).
  • Support development of dashboards and visualizations (e.g., Shiny, Plotly) to communicate insights effectively.
  • Apply data science methods to improve study execution and operational insights (e.g., enrollment trends, data quality signals, feasibility).
Cross-Functional Collaboration
  • Partner with Biostatistics, Data Management, Clinical Operations, and other stakeholders to support study and program deliverables.
  • Participate in the review of key study documents (e.g., SAPs, CRFs, DMPs, database specifications) for programming and analysis alignment.
  • Serve as a point of contact for programming and data science activities with internal teams and CRO partners.
  • Translate analytical outputs into clear, actionable insights for both technical and non-technical audiences.
Process, Quality, & Compliance
  • Ensure all programming and data science deliverables meet regulatory, industry, and company standards (e.g., CDISC, GxP, 21 CFR Part 11).
  • Contribute to the development and continuous improvement of programming and data science standards, processes, and SOPs.
  • Stay current on evolving regulatory movement related to data science, AI/ML, and analytics in drug development.
Leadership and Scope Differentiation
  • Senior Manager:
    • Lead data science activities at the study level; operate as a hands-on contributor delivering analyses and tools.
  • Associate Director:
    • Provide program-level oversight across multiple studies; influence data science strategy and cross-functional alignment.
    • Contribute to shaping data science standards, tools, and longer-term capabilities within Statistical Programming.
    • Mentor junior team members and guide CRO partners.
The Ideal Candidate
  • Strong experience in SAS, R or Python for data analysis and visualization.
  • Experience in Data Science methods and tools: Machine Learning models and model development lifecycle, GenAI/Agentic AI application development as a plus
  • Experience supporting clinical development and regulatory submissions in a pharma/biotech or CRO setting.
  • Hands-on experience with CDISC standards (SDTM, ADaM) and integration with exploratory analytics.
  • Experience working with diverse data types (clinical, biomarker, or real-world data) and data engineering pipeline development.
  • Experience with reproducible research practices (e.g., version control, structured workflows).
  • Ability to analyze complex datasets and translate findings into actionable insights.
  • Strong communication and collaboration skills across technical and non-technical stakeholders.
  • Detail-oriented with a strong commitment to quality and accuracy.
  • Therapeutic experience in autoimmune/immunology is a plus.
In addition, for Associate Director level:
  • Experience influencing program-level strategy across multiple studies or indications.
  • Demonstrated ability to drive cross-functional alignment and contribute to analytical strategy.
  • Experience mentoring team members and overseeing CRO/vendor deliverables.
  • Exposure to advanced analytics approaches (e.g., causal inference, simulations, RWE integration) in a regulated environment.
Education & Experience
  • Senior Manager:
    • Bachelor's degree (or equivalent) with 8+ years of experience, or Master's with 6+ years
  • Associate Director:
    • Bachelor's degree (or equivalent) with 10+ years of experience, or Master's with 8+ years

This role is located in South San Francisco, CA, with an on-site presence expected Tuesday through Thursday. Remote candidates may remain off-site but should be willing to travel regularly for team collaboration.

Alumis Inc. is an equal opportunity employer.

The salary range for this position is Senior Manager: $180,000 - $200,000 annually and Associate Director: $200,000 - $220,000 annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.

Alumis compensation packages include generous stock option grants for all employees as well as an annual bonus program.

Other benefits include:

  • Health insurance premiums paid at 90% for employee, 80% for dependents
  • Free access to Genentech Bus & Ferry Share program
  • $100 monthly cell phone stipend
  • Unlimited PTO for Exempt employees
  • Free onsite gym and a kitchen stocked with yummy snacks and drinks!

We are a hard-working, collaborative team on a mission to transform patient's lives-- and we aspire to elevate, challenge and nurture one another along the way.