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Postdoctoral In Bayesian Statistics Jobs in Levittown, PA

Physics Expert - Remote

Philadelphia, PA ยท Remote

$80 - $160/hr

Statistical Physics * Condensed Matter Physics * AMO / Quantum Optics * Gravitation * Cosmology ... students, postdoctoral researchers , or equivalent research leadership in an industry setting.

Clinical Pathologist II

Horsham, PA ยท On-site

$180K - $200K/yr

Experience in the contract research or pharmaceutical industry with Postdoctoral experience or ... and statistical interpretation. Compensation Data The pay range for this position is $180,000 ...

Showing results 41-58

Postdoctoral In Bayesian Statistics information

See Levittown, PA salary details

$24K

$56.7K

$80.2K

How much do postdoctoral in bayesian statistics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for postdoctoral in bayesian statistics in Levittown, PA is $56,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $63,900.00 per year, depending on experience, location, and employer.

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 cities near Levittown, PA are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities near Levittown, PA with the most Postdoctoral In Bayesian Statistics job openings:

Senior Biostatistician

Madrigal Pharmaceuticals

Conshohocken, PA โ€ข Hybrid

$150K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH.

Madrigal's medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR- agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c).

Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way.

Madrigal Pharmaceuticals is a biopharmaceutical company delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, and premature mortality. Our medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR- agonist designed to target F2/F3 MASH.

The Senior Biostatistician is an individual contributor working across biostatistics, translational development, and data science. The role supports biostatistical activities in clinical development - with a focus on early development (Phase IIa) and in causal inference using real-world data - and contributes to biomarker development, statistical modeling, and analysis of high-dimensional data. Title and scope are commensurate with experience. Reports to the VP of Biostatistics.

Responsibilities

  • Develop and apply statistical and machine-learning models to high-dimensional data to support biomarker strategy and clinical evidence generation.
  • Work with multi-omic profiling, PK/PD biomarkers, and biobank- or EHR-linked genomic data
  • Ability to apply human genetics methods (e.g., GWAS, polygenic risk scores, sequencing) to inform translational strategy is a plus.
  • Generate real-world evidence from observational data and apply causal-inference methods to draw robust conclusions from non-randomized studies.
  • Support the design and analysis of clinical trials and real-world data (claims, EHR, registries); contribute to protocols and Statistical Analysis Plans.
  • Partner across translational science, early clinical research, Real-World Evidence generation, and contribute to publications and conferences.

Qualifications

  • Ph.D. in (Bio)statistics, Statistics, Data Science, or a related quantitative field, with at least 2 years of relevant experience (or equivalent internship, co-op, or postdoctoral research). Ideal candidates will have between 3-5 years of relevant work experience. Level may be commensurate with experience.
  • Proficiency in R and SAS, with working knowledge of Python and machine-learning libraries (scikit-learn, PyTorch, TensorFlow).
  • Building data pipelines that transform high-dimensional and real-world datasets into analysis-ready form.
  • Ability to communicate complex analyses to non-statisticians and influence decisions across scientific and clinical teams.
  • Experience with real-world data sources and knowledge of regulatory guidelines a plus.
  • Familiarity with multi-omic and PK/PD biomarker data and with biobank- or EHR-linked genomic datasets a plus.

Location

This is a hybrid role based in Conshohocken, PA - three days per week in the office and two days remote. Some travel may be required (< 10%).

Madrigal's Total Rewards strategy is based on a biotech industry peer group comparator and is inclusive of base pay, bonus and equity. Our equity offers meaningful opportunity allowing our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.

All employees receive equity, which we believe reinforces our ownership culture. Base salary is determined by several factors including the candidate's qualifications, skills, education, experience, business needs and market demands. As of the date of this posting, a good faith estimate of the current pay scale for this position, applicable to all candidates, is $150,000 - $182,500 per year. We comply with all applicable minimum wage laws.

All full-time employees receive equity, which reinforces our ownership culture and offers meaningful opportunity for our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.

Full-time employees are also eligible for comprehensive benefits, including flexible paid time off, medical, dental, vision and life/disability insurance, and 401(k) offerings (i.e., traditional, Roth, and employer match) in accordance with applicable plans. We also offer additional voluntary benefits like supplemental life insurance, legal services, and other offerings. In addition, we offer mental health benefits through our Employee Assistance Program for employees and their family. The company also provides other benefits in accordance with applicable federal, state, and local laws.

We are committed to providing reasonable accommodations for individuals with disabilities throughout the hiring process. If you need assistance, please contact HR@madrigalpharma.com.

Madrigal is an Equal Opportunity Employer. All employment is decided on the basis of qualifications, merit, and business need. Applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex gender identity, sexual orientation, national origin, age, disability, protected veteran or disabled status, or other characteristic protected by applicable federal, state, or local law.

Unsolicited resumes from agencies should not be forwarded to Madrigal. Madrigal will not be responsible for any fees arising from the use of resumes through this source. Madrigal will only pay a fee to agencies if a formal agreement between Madrigal and the agency has been established.

Applications are being accepted on an ongoing basis and can be submitted through our Madrigal Careers site.

Please be aware that we have received reports of individuals misrepresenting themselves as Madrigal Pharmaceuticals' Hiring Managers, seeking to engage with job candidates through fraudulent online advertisements or job posting sites. These unauthorized individuals are using Madrigal's name and logo in an attempt to solicit up-front fees and obtain personal information from interested job candidates. Please know that Madrigal does not conduct interviews via text or in chat rooms; conduct interviews via Skype, RingCentral or solely via telephone; charge candidates an advance fee of any kind (e.g., fees for purchasing equipment); nor does it offer positions of employment without undergoing a thorough recruiting process.

Please also note that any correspondence with regard to employment would come from an authorized madrigalpharma.com email address or from an email address from one of our trusted search firm partners. We are aware that incorrect/fraudulent email addresses, with Madrigal misspelled, have been utilized in these most recent fraud attempts. If you receive unsolicited employment offers from people claiming to work for or on behalf of Madrigal, we recommend that you: do not respond to their questions; do not open any attachments; and do not click on any hyperlinks. Any questions regarding the legitimacy of job-related contacts can be directed to HR@madrigalpharma.com.