Strong programming and logic skills (working knowledge of SAS) * Ability to apply drug development ... Mathematics discipline or related field, masters or PhD preferred, or many years of related ...
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Strong programming and logic skills (working knowledge of SAS) * Ability to apply drug development ... Mathematics discipline or related field, masters or PhD preferred, or many years of related ...
Mathematical Logic Phd information
What is the difference between Mathematical Logic Phd vs Data Scientist?
| Aspect | Mathematical Logic Phd | Data Scientist |
|---|---|---|
| Required Credentials | PhD in Mathematics or Logic, strong analytical skills | Bachelor's or Master's in Data Science, Statistics, or related fields |
| Work Environment | Academic, research institutions, or specialized think tanks | Corporate, tech companies, or consulting firms |
| Industry Usage | Research, academia, theoretical development | Data analysis, machine learning, business insights |
| Common Search/Comparison | Mathematical Logic Phd vs Data Scientist |
The Mathematical Logic Phd typically focuses on theoretical research and academic roles requiring advanced mathematical and logical expertise. In contrast, a Data Scientist applies statistical and computational skills to analyze data and solve practical business problems. While both roles require strong analytical skills, their work environments and industry applications differ significantly.
Are math phds in demand?
Mathematical Logic PhDs are in demand in academia, research institutions, and certain technology sectors that require advanced analytical and problem-solving skills. Opportunities often involve research, teaching, or roles in data analysis, cryptography, and artificial intelligence, with demand influenced by industry needs for highly specialized quantitative expertise.
What are the key skills and qualifications needed to thrive as a Mathematical Logic PhD, and why are they important?
To thrive as a Mathematical Logic PhD, you need advanced knowledge of mathematical logic, formal systems, set theory, and proof techniques, typically supported by a doctoral degree in mathematics or a related field. Proficiency with mathematical software (such as LaTeX, Coq, or Mathematica) and experience with academic research tools are highly valuable. Strong analytical thinking, perseverance, and clear written and verbal communication skills help you excel in both independent research and collaborative academic environments. These competencies are crucial for advancing theoretical understanding, producing publishable research, and contributing to the broader mathematical community.
What can I do with a PhD in Mathematics?
A PhD in Mathematics prepares individuals for careers in academia, research, data analysis, cryptography, and quantitative analysis. Graduates often work as university professors, research scientists, or in industries such as finance, technology, and government agencies, utilizing advanced problem-solving and analytical skills.
What are the typical research and collaboration opportunities available to someone with a PhD in Mathematical Logic?
A PhD in Mathematical Logic opens doors to research positions in academia, technology companies, and research institutes, where collaboration is key. You may work as part of interdisciplinary teams with computer scientists, mathematicians, and philosophers on projects like formal verification, artificial intelligence, or foundations of mathematics. Challenges often include communicating complex ideas to those outside your specialty and balancing independent research with collaborative projects. These roles frequently provide opportunities to publish, attend conferences, and mentor students, fostering both personal growth and professional networking.
What is a Mathematical Logic PhD?
A Mathematical Logic PhD is a doctoral degree focused on the study of formal systems, reasoning, and the foundations of mathematics. Students in this program research topics such as set theory, model theory, recursion theory, and proof theory. Graduates often pursue careers in academia, research, or industry roles that require advanced logical reasoning and mathematical skills. The program typically involves coursework, comprehensive exams, and original research culminating in a dissertation.
How much do PhD mathematicians make?
PhD mathematicians typically earn between $70,000 and $150,000 annually, depending on experience, industry, and location. Academic roles may pay less initially, while positions in finance, technology, or research often offer higher salaries and additional benefits.
Does NASA hire pure mathematicians?
NASA employs mathematicians, including those with expertise in pure mathematics, for research and problem-solving roles related to space science, engineering, and data analysis. These positions often require advanced degrees such as a PhD in mathematics or related fields and involve applying theoretical concepts to practical challenges. Pure mathematicians may work in areas like cryptography, modeling, or algorithm development within NASA's projects.
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What job categories do people searching Mathematical Logic Phd jobs in Indiana look for? The top searched job categories for Mathematical Logic Phd jobs in Indiana are:
What cities in Indiana are hiring for Mathematical Logic Phd jobs? Cities in Indiana with the most Mathematical Logic Phd job openings:
Job description
About MMS
Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
Senior Biostatistician:
Responsibilities:
- Create randomization and kit schedules independently, collaborate with sponsor, randomization and drug supply management teams.
- Develop phase 1-4 SAPs and make significant contributions to iSAPs. Create SAP TLFs shells for all phases and studies.
- Review ADAM and TLFs; work with client and programmers to resolve comments.
- Strong programming and logic skills (working knowledge of SAS)
- Ability to apply drug development knowledge during production of high quality statistical analyses.
- Perform sample size calculations for a variety of scenarios and study designs.
- Leads projects (all phases and even a program of studies) and smaller submissions, manages client meetings, CRMs, collaborates well with regulatory, PMs and sponsor.
- Strong knowledge of CDISC (especially SDTM and ADaM), looks to understand guidance from FDA from the different therapeutical areas.
- Understand the various tools that we work with
- High level knowledge of drug development as it pertains to biostatistics.
- Provides support to Data Safety Monitoring Boards (DSMB) by preparing and presenting output as the unblinded statistician.
- Review the statistical section of a Sponsor’s protocol and ensure that the appropriate statistical methods are proposed for the study design and objectives. Provide valuable feedback to the Sponsor on the statistical aspects of the study. Create the statistical section of the Sponsor’s protocol with minimal support
- High proficiency with MS Office applications
- Demonstrate an understanding of project management-related tasks such as timelines, scope and resource requirement estimation.
- Provide ICH guideline based input as applicable to statistics.
- Prepare and review statistical methods and results sections for the CSR with minimal support in collaboration with in-house medical writers.
- College graduate in Biostatistics, Statistics, or Mathematics discipline or related field, masters or PhD preferred, or many years of related experience required.
- Minimum of 5 years’ experience in Biostatistics or similar field required.
- Expert knowledge of scientific principles and concepts.
- Has high level knowledge of drug development as it pertains to biostatistics; has the ability to apply drug development knowledge during production of high quality statistical analyses.
- Strong SAS programming, SAS base, SAS macro experience.
- Thorough knowledge and understanding of clinical data preferred.
- Strong experience with data and production of TLGs.
- Excellent scientific writing skills.
- Strong resource for biostatistics; willing to guide others in a variety of biostatistical techniques.
- Proficiency with MS Office applications.
- Hands-on experience with clinical trial and pharmaceutical development preferred.
- Good communication skills and willingness to work with others to clearly understand needs and solve problems.
- Excellent problem-solving skills.
- Good organizational and communication skills.
- Familiarity with 21 CFR Part 11, FDA, and GCP requirements.
- Basic understanding of CROs and scientific & clinical data/terminology, & the drug development process.
Please consider your application unsuccessful if we do not reach out to you within 14 days of your submission.
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About M. M. S.
Sourced by ZipRecruiter
Industry
Pharmaceutical and medicine manufacturing
Company size
1 - 10 Employees
Headquarters location
Los Angeles, CA, US
Year founded
1980