$290K/yr
PhD Degree in Biostatistics, Statistics, or a related field with at least 10-12 years of experience ... Working knowledge of Bayesian methodology is preferred. * Experience with regulatory submissions ...
$290K/yr
PhD Degree in Biostatistics, Statistics, or a related field with at least 10-12 years of experience ... Working knowledge of Bayesian methodology is preferred. * Experience with regulatory submissions ...
... degree (MS/PhD) in a quantitative discipline. * Experience building, validating, and operationalizing Marketing Mix Models (preferably Bayesian approaches using PyMC, Stan, or similar) and ...
... degree (MS/PhD) in a quantitative discipline. * Experience building, validating, and operationalizing Marketing Mix Models (preferably Bayesian approaches using PyMC, Stan, or similar) and ...
PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
PhD in Mechanical Engineering or closely related field with strong emphasis in Computational Fluid ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
PhD in Mechanical Engineering or closely related field with strong emphasis in Computational Fluid ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
PhD in Mechanical Engineering or closely related field with strong emphasis in Computational Fluid ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
PhD in Mechanical Engineering or closely related field with strong emphasis in Computational Fluid ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
Bayesian Phd information
What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?
Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.
What are the key skills and qualifications needed to thrive as a Bayesian PhD?
To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.
What is the difference between Bayesian Phd vs Data Scientist?
| Aspect | Bayesian Phd | Data Scientist |
|---|---|---|
| Required Credentials | PhD in Statistics, Mathematics, or related field | Bachelor's or Master's in Data Science, Statistics, or related field |
| Work Environment | Research-focused, academic or specialized industry roles | Business-focused, tech companies, or consulting firms |
| Industry Usage | Academic research, advanced analytics, specialized modeling | Data analysis, machine learning, business insights |
| Common Search/Comparison | Yes | Yes |
While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.
What is a Bayesian PhD?
A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.
What are popular job titles related to Bayesian Phd jobs in Oregon? For Bayesian Phd jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Bayesian Phd jobs in Oregon look for? The top searched job categories for Bayesian Phd jobs in Oregon are:
$290K/yr
Full-time
Medical, Retirement, PTO
Re-posted 13 days ago
Job description
About Spyre Therapeutics
Spyre Therapeutics is a clinical-stage biotechnology company pioneering long-acting antibodies and antibody combinations to redefine the standard of care for inflammatory bowel disease ("IBD") and rheumatic diseases. Spyre's pipeline includes investigational extended half-life antibodies targeting 47, TL1A, and IL-23.
Role SummaryThe Sr. Director of Biostatistics will provide leadership and strategic input for clinical development programs assigned. The selected individual will be responsible for statistical activities supporting clinical trials, including contributing to trial designs, authoring statistical sections of protocols, preparing statistical analysis plans, and reviewing and interpreting the analysis of clinical trial data. This is a hands-on role where you will interact with internal and external cross-functional study teams, support interactions with Health Authorities globally, conduct ad-hoc analyses, and manage biometrics vendors in preparing analysis files, performing statistical analyses, and delivering analysis results and data files.
Key Responsibilities- Lead the biometrics team including statistician, data manager, and statistical programmer at a program level
- Provide statistical input to strategic planning, study design, protocol development, sample size calculation, CRF, Results Interpretation, clinical study report, and address questions from regulatory agencies
- Promote research of advanced and innovative statistical methods to increase probability of success of clinical studies
- Author and develop SAPs, and work with extended team or vendor in developing specification for derived variables, templates of statistical tables, figures, and listings
- Provide guidance to study team on all aspects of statistical activities; collaborate closely with data manager to ensure high-quality data
- Participate in cross-functional study-related activities; Work collaboratively with Clinical Development, Clinical Operations, Clinical Data Managers, Pharmacovigilance Epidemiology, Regulatory, Project Management, Translational Medicine, and other staff and vendors to meet project deliverables and timelines
- CRO / Vendor Oversight: Establish procedures through regular interaction, setting expectations on deliverables and timelines. Ensure deliverables are accurate and delivered according to timelines
- Global Health Authority Interaction: Contribute to documents submitted to Health Authorities globally by providing input for the interaction or by writing the interaction document. May participate in meetings or teleconferences with Health Authorities
- Coordinate with internal and external team members to prepare the statistical analyses for IB, DSUR updates, periodic safety updates, and other ad hoc analyses
- Build and develop efficient biostatistical processes and standards, when appropriate
- PhD Degree in Biostatistics, Statistics, or a related field with at least 10-12 years of experience in biostatistics within the pharmaceutical, biotech, or CRO industry.
- Strong knowledge of statistical methodologies and their application in clinical trials and health research. Working knowledge of Bayesian methodology is preferred.
- Experience with regulatory submissions and interactions with regulatory agencies.
- Proficiency in statistical software (e.g., SAS, R) and data management systems.
- Experience with CDSIC including SDTM, ADaM, CDASH
- Successful track record of working independently in a matrixed organization and providing solutions to emerging problems.
- Excellent communication and interpersonal skills, along with organizational skills.
- Ability to work collaboratively in a multidisciplinary team environment.
- Opportunity to work in a fast-paced, dynamic environment where you help shape the culture of our young company, contribute broadly to advance meaningful medicines, and learn quickly.
- Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits.
- Unlimited PTO
- Two, one-week company-wide shutdowns each
- Commitment to provide professional development opportunities.
- Remote working environment with frequent in-person meetings to address complex problems and build relationships.
The expected salary range offer for this role is $ 275,000 to $290,000. Actual pay offered may vary depending on job related knowledge, experience, education, and geographic location.