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Bayesian Statistics Jobs in California (NOW HIRING)

Applied Data Scientist

Santa Rosa, CA · On-site

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on expertise in tree-based ML techniques and statistical modeling . * Familiarity with Bayesian Optimization and feature engineering for time-series or signal data . * Ability to move fluidly ...

Statistical learning theory, optimization, probability theory, and information theory; Causal inference, decision theory, game theory; Online learning, bandits, RL, Bayesian methods. • Strong ...

Statistical learning theory, optimization, probability theory, and information theory; Causal inference, decision theory, game theory; Online learning, bandits, RL, Bayesian methods. • Proficient ...

Senior Research Engineer

Santa Clara, CA · On-site

$200K/yr

  • Medical

  • PTO

Formulate and solve complex inference problems using Bayesian estimation, filtering, optimization, and related statistical techniques * Prototype, evaluate, and refine algorithms using large-scale ...

Showing results 41-60

Bayesian Statistics information

See California salary details

$5

$14

$15

How much do bayesian statistics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for bayesian statistics in California is $14.96, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $14.95 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in Bayesian statistics?

A typical day for a professional specializing in Bayesian Statistics often involves designing and running statistical models, analyzing datasets using Bayesian methods, and programming in tools like R or Python. You may collaborate with data scientists, researchers, and subject matter experts to define problems and interpret statistical results. Responsibilities can also include presenting findings to non-technical stakeholders, developing new modeling techniques, and staying updated with advances in Bayesian methodology. The role offers a dynamic mix of technical analysis, problem-solving, and teamwork, making each day intellectually engaging.

What is Bayesian statistics?

A Bayesian Statistics job involves using Bayesian methods to analyze data, update probabilities, and make inferences based on prior knowledge. Professionals in this field apply Bayesian techniques in areas like machine learning, finance, healthcare, and scientific research. They typically work with probabilistic models, statistical software, and programming languages such as Python or R. These roles require strong mathematical skills and are often found in academia, industry, and government research.

What is a Bayesian statistician?

A Bayesian statistician is a professional who applies Bayesian methods to analyze data, update probabilities, and make inferences. They often use statistical software and require strong mathematical skills to develop models that incorporate prior knowledge and evidence.

What are the key skills and qualifications needed to thrive in the Bayesian statistics position, and why are they important?

To thrive in Bayesian Statistics, you need a deep understanding of probability theory, statistical modeling, and strong programming skills, usually supported by an advanced degree in statistics, mathematics, or a related field. Familiarity with technical tools like R, Python, Stan, and software for Bayesian inference, as well as relevant certifications, is often required. Analytical thinking, attention to detail, and the ability to clearly communicate complex concepts are essential soft skills. These skills and qualities ensure accurate and interpretable statistical analyses, effective collaboration with cross-functional teams, and reliable data-driven decision making.

What can you do with Bayesian statistics?

A professional in Bayesian statistics applies probabilistic models to analyze data, make predictions, and update beliefs based on new information. This skill is used in fields like data science, machine learning, and research to improve decision-making and model accuracy, often utilizing tools such as R or Python. Bayesian methods are valuable for tasks involving uncertainty quantification and sequential data analysis.

What jobs use Bayesian statistics?

Bayesian statistics is used in a variety of roles including data scientist, quantitative analyst, biostatistician, machine learning engineer, and research scientist. These jobs often require skills in statistical modeling, programming languages like R or Python, and experience with probabilistic methods to analyze data and inform decision-making.

What are the most commonly searched types of Bayesian Statistics jobs in California?

The most popular types of Bayesian Statistics jobs in California are:

What are popular job titles related to Bayesian Statistics jobs in California?

For Bayesian Statistics jobs in California, the most frequently searched job titles are:

Infographic showing various Bayesian Statistics job openings in California as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $31,120 per year, or $15 per hour.

Sr. Director - Biostatistics, Neurology

GondolaBio Service Co, Inc.

Palo Alto, CA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago


Job description

Description:

Location: Remote U.S. with travel as needed to Bay Area


About GondolaBio

GondolaBio is a clinical-stage biopharmaceutical company focused on developing breakthrough therapeutics for genetic diseases. GondolaBio is an independent sister company to BridgeBio, originally carved out in 2024 after securing $300M in private financing from external investors. GondolaBio aims to leverage cutting-edge biological research to discover, create, test, and deliver transformative medicines to treat patients who suffer from genetic diseases.


Who You Are

You are an experienced biostatistician with deep expertise in rare disease clinical development. You thrive in lean, cross-functional settings and bring both methodological rigor and pragmatic judgment to study design and analysis. You are energized by the challenge of extracting meaningful, credible signal from small, heterogeneous patient populations, and you understand that in rare disease, thoughtful statistical thinking is itself a competitive advantage.


Key Responsibilities

  • Statistical leadership for ASO programs (Phase 1/2 to PoC readiness): Serve as the lead statistician for GondolaBio's ASO assets, owning statistical strategy from early FIH through proof-of-concept. Develop and defend fit-for-purpose statistical analysis plans (SAPs) that account for small sample sizes, placebo and open-label designs, and high inter-patient variability.
  • Seizure endpoint strategy: Design robust statistical approaches for seizure frequency and responder analyses in Developmental and Epileptic Encephalopathy populations, where within-patient variability, seizure clustering, and non-normality require non-standard methods. Partner with clinical colleagues to define scientifically credible and regulatorily acceptable primary and secondary endpoints.
  • Rare disease-adapted trial design: Apply specialized methods appropriate for small N studies including Bayesian frameworks, adaptive designs, n-of-1 elements, and natural history benchmarking. Proactively identify and mitigate risks from high variability, missing data, and limited statistical power, communicating trade-offs clearly to program leadership.
  • Regulatory statistical support: Prepare and contribute to statistical sections of INDs, briefing documents, and FDA/EMA meeting packages. Support pre-IND and Type B/C meetings, and respond to agency questions on statistical methodology.
  • Biomarker and exploratory analysis: Collaborate with Pharmacology, Translational, and Clinical teams to develop analysis plans for PD biomarkers, target engagement endpoints, and patient stratification. Apply appropriate multiplicity controls and exploratory frameworks to preserve interpretability.
  • Cross-functional collaboration: Partner closely with Clinical Development, Regulatory, Clinical Operations, and external CROs/vendors to ensure statistical considerations are embedded early in protocol development, CRF design, data management, and study conduct. Represent Statistics in cross-functional program team meetings.
Requirements:

Preferred Education & Experience

  • M.S. or Ph.D. in Biostatistics, Statistics, or a closely related field.
  • 8+ years of pharmaceutical/biotech industry experience, with meaningful early-phase (Phase 1/2) rare disease exposure.
  • Demonstrated experience designing and analyzing seizure trials (e.g., DEE, TSC, Dravet, LGS) or other high-variability neurological endpoints.
  • Deep familiarity with statistical challenges specific to rare disease: small sample sizes, open-label designs, natural history controls, and high inter-patient variability.
  • Hands-on proficiency with SAS and/or R; ability to program and review analysis datasets and outputs independently.
  • Experience authoring and defending SAPs, study reports, and regulatory-facing statistical documents.
  • Comfort operating in lean, fast-paced biotech environments with significant autonomy and accountability.

Nice-to-Haves

  • Experience with Bayesian or adaptive design methodologies in rare or neurological disease trials.
  • Familiarity with PRO/ClinRO endpoint development and validation in pediatric or rare disease populations.
  • Experience with responder analyses, seizure diary data, and mixed-effects models for repeated measures (MMRM) in epilepsy studies.
  • Exposure to seamless Phase 1/2 designs or platform trials.
  • Experience interfacing directly with FDA or EMA on statistical methodology for rare disease.

No matter your role at GondolaBio, successful team members are

  • Patient Champions who put patients first, uphold strict ethical standards, and anchor decisions in clinical and scientific integrity.
  • Entrepreneurial Operators who take ownership and drive toward practical solutions, while exercising sound judgment, respecting established processes, and aligning with teammates and leadership.
  • Truth Seekers who are rigorous, detail-oriented, and intellectually honest—comfortable challenging assumptions, engaging with data, and updating their views based on evidence.
  • Collaborative Thinkers who work effectively in data-driven, interdisciplinary environments; listen actively; and welcome questions, debate, and constructive challenge as essential to better decision-making.
  • Individuals Who Inspire Excellence in themselves and those around them.
  • High-quality Executors who deliver against goals and milestones with precision, accountability, and appropriate urgency—without compromising scientific rigor or team alignment.

What We Offer

  • Patient Days, where we are fortunate to hear directly from individuals living with the conditions we are seeking to impact throughout the year and learn how we can improve our efforts
  • A culture inspired by our values: put patients first, think independently, be radically transparent, every minute counts, and let the science speak
  • An unyielding commitment to always putting patients first
  • A decentralized model that enables our program teams to focus on advancing science and helping patients. Our affiliate structure is designed to eliminate bureaucracy and put decision-making power in the hands of those closest to the science
  • A place where you own the vision – both for your program and your own career path
  • A collaborative, fast-paced, data-driven environment where we inspire ourselves and each other to always perform at the top of our game
  • Access to learning and development resources to help you get in the best professional shape of your life
  • Robust and market-competitive compensation & benefits package (Base, Performance Bonus, Equity, health, welfare & retirement programs)
  • Flexible PTO
  • Rapid career advancement for strong performers
  • Potential ability to work on multiple GondolaBio Pharma programs across multiple therapeutic areas over time
  • Commitment to Diversity, Equity & Inclusion

The base pay range for this position is $300,000 to $360,000 per year. The actual compensation offered will be determined based on a number of job-related factors, including experience, skills, qualifications, and location. A bonus plan and equity will also be offered.


GondolaBio ServiceCo is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Employees of BridgeBio and all affiliated companies should work through their managers to inquire about and learn more about this role.