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Postdoctoral In Bayesian Statistics Jobs in Massachusetts

MORSE Corp

Bayesian Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics, probabilistic modeling, data analysis, data science, and algorithm development in one or more of a variety ...

PhaseV

Biostatistics Researcher

Cambridge, MA · On-site

Support real-time clinical trial implementation as requested by clients or CROs less familiar with Bayesian and other modern statistical approaches * Write and co-present final reports in both oral ...

PhaseV

Biostatistics Researcher

Cambridge, MA

Support real-time clinical trial implementation as requested by clients or CROs less familiar with Bayesian and other modern statistical approaches * Write and co-present final reports in both oral ...

AstraZeneca

Associate Director, Biostatistics

Boston, MA · On-site

$120 - $160/hr

PhD in Statistics/Biostatistics is preferred * Project management skills * Proficiency in SAS and R languages * Knowledge of Bayesian statistics from theory to computation is a plus Equal Employment ...

Jobtailor

Senior Director, Biostatistics

Cambridge, MA · On-site

$150 - $190/hr

Advanced knowledge of statistical methods in clinical study designs (adaptive, Bayesian), statistical analysis methods including Bayesian method, missing data imputation, multiplicity adjustment

Worcester Polytech

Postdoctoral Scholar

Worcester, MA · On-site

$65K - $70K/yr

JOB TITLE Postdoctoral Scholar LOCATION Worcester DEPARTMENT NAME Mathematical Sciences DIVISION ... D. in Mathematics or Statistics, or a related area. The appointment will be for up to three years ...

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Postdoctoral In Bayesian Statistics information

What is a postdoctoral position in Bayesian statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in Bayesian statistics?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Massachusetts?

For Postdoctoral In Bayesian Statistics jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Massachusetts look for?

The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Massachusetts are:

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Cities in Massachusetts with the most Postdoctoral In Bayesian Statistics job openings:

Postdoctoral In Bayesian Statistics jobs near you

Bayesian Data Scientist

Cambridge, MA • On-site

MORSE Corp
See more jobs at MORSE Corpexternal

$90K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics, probabilistic modeling, data analysis, data science, and algorithm development in one or more of a variety of fields including generative AI, computer vision, , natural language processing, machine translation, time sequenced data, big data, and advanced metrics. You will join teams performing rigorous Test and Evaluation (T&E) of AI and machine learning systems to give national security customers insights into AI capabilities for solving real-world challenges. Your work will directly contribute to developing technologies that ensure responsible and effective AI deployments across the national security sector.
Responsibilities:
  • Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems,
  • Develop and implement advanced probabilistic models to identify limitations within AI models and enhance their explainability.
  • Work with MORSE's current team of engineers to transition algorithms to software applications and real-time embedded systems.
  • Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB.
  • Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results.
  • Present a path forward and solutions to solve complex data problems.
  • Research and identify new methods, from statistical techniques to AI-powered analyses, that analyze and best characterize the performance of in-development and deployed systems.
Requirements:
  • US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
  • Masters or Ph.D in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field
  • 5+ years of experience in Data Science or Analysis
  • Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods
  • Proficiency in one or more programming languages like Python, Matlab, C, or C++
  • Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations
  • Good communication skills
  • Self-starter and driven
  • Prior experience in defense is a plus

MORSE Corp's salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an "open" leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an "unlimited" paid leave policy.
Compensation
$90,000-$210,000 USD
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.

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