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Data Science Associate Jobs in Napa, CA (NOW HIRING)

Osmind

Life Sciences Associate

San Francisco, CA · On-site

$110K - $125K/yr

Our Biosciences team turns that data and clinical footprint into partnerships with biopharma ... Title: Life Sciences Associate * Reports to: Senior Manager, Life Sciences Partnerships

Osmind

Life Sciences Associate

San Francisco, CA · On-site

$110 - $125/hr

Our Biosciences team turns that data and clinical footprint into partnerships with biopharma ... Title: Life Sciences Associate * Reports to: Senior Manager, Life Sciences Partnerships

Osmind

Life Sciences Associate

San Francisco, CA

$110/hr

Our Biosciences team turns that data and clinical footprint into partnerships with biopharma ... Title: Life Sciences Associate * Reports to: Senior Manager, Life Sciences Partnerships

Pwc

Data Engineer - Senior Manager

San Francisco, CA · On-site

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

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All JobsData Science Associate JobsData Science Associate Jobs in Napa, CA

Data Science Associate information

See Napa, CA salary details

$65.2K

$77.1K

$146.2K

How much do data science associate jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science associate in Napa, CA is $77,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $67,400.00 per year, depending on experience, location, and employer.

What is a data science associate?

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?

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.

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.

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 can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Napa, CA?

The most popular types of Data Science jobs in Napa, CA are:

What job categories do people searching Data Science Associate jobs in Napa, CA look for?

The top searched job categories for Data Science Associate jobs in Napa, CA are:

What cities near Napa, CA are hiring for Data Science Associate jobs?

Cities near Napa, CA with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Napa, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,120 per year, or $37.1 per hour.

Life Sciences Associate

Osmind

San Francisco, CA • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Role overview
Osmind powers the largest network of independent psychiatry practices in the country - 1,000+ clinics - on top of our own EHR and real-world evidence platform. Our Biosciences team turns that data and clinical footprint into partnerships with biopharma companies across our four life sciences product lines: clinical real-world evidence, clinical research, commercial real-world evidence, and sales & marketing solutions. See osmind.org/life-sciences for more information.
Our Biosciences unit is a small, fast-moving team sitting at the intersection of neuropsychiatry, data, and commercial strategy - and this hire will be one of the first few people building it out. You'll have direct exposure to biopharma partners and executive leadership from your first month, and the scope of what you own will expand quickly - from contributing to workstreams, to owning them outright, to eventually shaping the direction of an engagement.
What you'll do
Commercial modeling
  • Build and own commercial models detailing specific market TAMs, expected product revenues, psychiatric clinic revenue modeling, and epidemiological based forecasting
  • Combine clinical trial data, market research, and analyst reports into competitive landscape analyses
  • Build scenario-based models capable of demonstrating first and second order effects of various inputs
Research design and execution
  • Design, edit, program, and field quantitative surveys for a variety of clinician audiences. This includes end-to-end execution across instrument design through analysis.
  • Draft clinician interview guides and lead subsequent interviews
  • Run research operations end to end, from participant recruiting through fieldwork completion
  • Turn primary research and real-world evidence into insights that move a commercial project forward
Data and evidence
  • Analyze real-world datasets spanning claims and EHR data to find actionable insights
  • Design and build both prospective and retrospective data analysis projects
  • Track the competitive and launch landscape for the therapies our partners care about
Partnerships
  • This role is built for someone who will mature into a full end-to-end client lead. You will have high exposure to our partners from the start.
  • Build the deliverables that go to partners: presentation slide decks, handoff-ready models, conference abstracts, and more
  • Manage against real deadlines, including external review windows you don't control
  • Learn Osmind's rights-to-win well enough that you can eventually write a proposal end-to-end - scope, pricing, terms - for a new business opportunity. Sit in client and prospect meetings, help write proposals, support negotiations, and support project execution & upsell discussions.
  • Leverage your client-facing abilities to develop deep relationships, effectively project manage client projects, and identify and execute on cross-sell and upsell opportunities
  • Maintain an understanding of R&D pipelines, M&A activity, funding activity, asset development, etc. of neuropsychiatry drug and device development

Requirements
  • At least 2 years at a life sciences consulting firm (or within a commercial analytics, market research, business operations role within a biotech company)
  • Direct commercial biopharma exposure across product forecasting, launch/GTM strategy, market access, and payer dynamics
  • Advanced Excel skills: You've built complex models from scratch and owned them end to end. Comfortable with scenario logic, sensitivity analysis, and structuring a model someone else can pick up
  • Survey instrument design experience (Qualtrics, Typeform, or similar platforms)
  • Capable of translating both unstructured and structured data into actionable analyses and insights that solve our clients questions
  • Attention to detail and operational excellence
  • Comfort with ambiguity, and the initiative to move a deliverable forward without being told to
  • This role is based in San Francisco and has an in-office requirement of twice a week

Nice to have
  • Advanced analytics experience (Python, R, SQL)
  • Psychiatry, neuroscience, or CNS experience
  • Startup experience or small-team background
  • A degree in a relevant scientific field (neuroscience, biology, biochemistry, bioengineering, biostatistics, etc.)

Role structure and logistics
  • Title: Life Sciences Associate
  • Reports to: Senior Manager, Life Sciences Partnerships
  • Compensation range: $110-125K base salary plus equity program
  • Start date: ASAP
  • Location: San Francisco (required)

$110,000 - $125,000 a year
Depending on experience.
The reasonably estimated national salary range for this position is between $110000 and $125000 per year, plus an equity package for eligible employees. Actual compensation will be commensurate with the candidate's experience and local cost of labor. In addition, Osmind offers a wide range of comprehensive and inclusive employee benefits, including healthcare, dental, vision, generous family leave, FSA/DCFSA, mental health benefits, a 401(k) plan, and flexible paid time off.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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