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Bayesian Modeling Jobs in California (NOW HIRING)

Methodological breadth across comp-bio modeling spectrum - classical and hierarchical statistics, causal inference, Bayesian modeling, network-based and mechanistic approaches, and modern deep ...

Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling-in non-stationary, adversarial environments.

Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models. * Present exploratory findings to both, technical and management ...

Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models. * Present exploratory findings to both, technical and management ...

Staff AI Scientist

Mountain View, CA ยท On-site

$209K - $283K/yr

In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.

In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.

In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.

In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.

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Bayesian Modeling information

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.
What cities in California are hiring for Bayesian Modeling jobs? Cities in California with the most Bayesian Modeling job openings:
Functional Genomics Senior Scientist/Assistant Director

Functional Genomics Senior Scientist/Assistant Director

Ionis Pharmaceuticals

Carlsbad, CA โ€ข On-site, Remote

$178K/yr

Full-time

Posted 23 days ago


Job description

Headquartered in Carlsbad, California, and with offices in Boston, Massachusetts, and Dublin, Ireland, Ionis has been at work for more than three decades discovering medical breakthroughs that have redefined life for people with serious diseases. Weโ€™re pioneers in RNA-targeted medicines, and our platform continues to revolutionize drug discovery and transform lives for patients with unmet needs.ย  With multiple marketed medicines and a leading pipeline in neurology, cardiology and select areas of high patient needs, we continue to drive innovation in RNA therapies in addition to advancing new approaches in gene editing to provide greater value to patients and are well positioned financially to deliver on our strategic goals.

At Ionis, we pride ourselves on cultivating a challenging, motivating and rewarding environment that fosters innovation and scientific excellence. We know that our success is a direct result of the exceptional talents and dedication of our employees.ย 

With an unprecedented opportunity to change the course of human health, we look to add diverse individuals, skill sets and perspectives to our exceptional team. We continue to invest time, money and energy into making our onsite, hybrid and remote work environments a place where solid and lasting relationships are built and where our culture and employees can thrive.ย 

Weโ€™re building on our rich history, and we believe our greatest achievements are ahead of us. If youโ€™re passionate about the opportunity to have meaningful impact on patients in need, we invite you to apply and join us. Experience and contribute to our unique culture while you develop and expand your career!

Functional Genomics Senior Scientist/Assistant Director

Remote or Carlsbad, CA (Hybrid)

ย 

SUMMARY:

We are currently seeking a highly motivated individual for the position of Senior Scientist / Assistant Director in our Functional Genomics group. This posting will be leveled as Senior Scientist or Assistant Director based on candidateโ€™s experience and interview performance. A successful candidate will be a strategic member of a fast-paced and interactive research team contributing to the discovery of novel therapeutics. Well-suited candidates will have a systems level approach to understanding biology that harmonizes multiple interacting functional inputs including transcriptional regulation, protein function and larger order (cellular and tissue) biochemical relationships.

RESPONSIBILITIES:

  • Collaborate with R&D across various disease areas to analyze โ€˜omics data for better understanding of disease biology, preclinical model characterization, drug mechanism of action, biomarker identification, and contribute to the identification of new therapeutic targets
  • Provide input as needed to experimental groups to guide study design for โ€˜omics-based experiments
  • Use expertise as a computational biologist to integrate data from diverse sources (including transcriptome, proteome, DNA sequencing, genome structure data, and other NGS platforms)
  • Work in cross-disciplinary teams and effectively communicate findings to scientific audiences with broad range of backgrounds, including biology, chemistry, and statistics
  • Generalize pipelines for data integration and analysis
  • Organize and document analysis strategies and results

REQUIREMENTS:

  • Ph.D. in Computational Biology, Biological Sciences, Bioinformatics, Biostatistics, or related fields, plus 2+ years of post-PhD experience (Senior Scientist) or 3+ years of industry (Assistant Director)
  • Strong track record of innovative research demonstrated in publications and oral presentations
  • Familiarity with methods for advanced omics analysis such as single cell omics analysis, network inference and analysis, and machine learning
  • Proficiency with Linux, git and scripting languages such as Python or R, and analytical environments/IDEs such as Jupyter, RStudio, or VSCode. Familiarity with AWS/Cloud compute is a plus.
  • Excellent oral and written communication skills
  • An ability to be productive and successful in a fast-paced work environment
  • Knowledge in Cardiovascular, Renal, Pulmonary or Neurology fields is preferred

Please visit our website, http://www.ionis.com for more information about Ionis and to apply for this position; reference requisition # IONIS004015

Ionis offers an excellent benefits package! Follow this link for more details: Ionis Benefits

Full Benefits Link: https://ionis.com/careers#:~:text=Highly%20competitive%20benefits

The pay scale for the Senior Scientist level is $157,542 to 206,759

The pay scale for the Assistant Director level is $178,574 to 214,637

NO PHONE CALLS PLEASE. PRINCIPALS ONLY.

Ionis Pharmaceuticals, Inc. and all its subsidiaries are proud to be EEO employers.