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Hourly Phd Statistics Jobs in Michigan (NOW HIRING)

$180K - $260K/yr

A broad variety of projects, data types, and statistical approaches, ensuring you never stop ... PhD in Computational Biology, Bioinformatics, Biostatistics, Epidemiology or a related quantitative ...

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Hourly Phd Statistics information

What is an hourly PhD statistics professional?

An Hourly PhD Statistics professional is an expert with a doctoral degree in statistics who offers their services on an hourly basis. They typically assist clients with statistical analyses, research design, data interpretation, and methodological consulting for academic, business, or research projects. These professionals are often hired for their advanced statistical knowledge and ability to solve complex data-related problems efficiently. Working on an hourly basis allows clients to utilize their expertise for specific tasks without a long-term commitment.

What are the key skills and qualifications needed to thrive as an hourly PhD statistician, and why are they important?

To thrive as an Hourly PhD Statistician, you need advanced statistical knowledge, expertise in data analysis, and a doctoral degree in statistics or a related field. Proficiency in statistical software such as R, SAS, or Python, and familiarity with data management systems, is typically required. Strong problem-solving abilities, effective communication, and attention to detail set outstanding statisticians apart. These skills ensure accurate data interpretation, reliable research outcomes, and clear collaboration with clients or interdisciplinary teams.

What are some common challenges faced by hourly PhD-level statisticians, and how can they be addressed?

Hourly PhD statisticians often face challenges such as quickly understanding diverse datasets and research objectives across multiple projects, as well as managing fluctuating workloads. To address these, it's important to maintain clear communication with clients or project leads, clarify expectations at the outset, and utilize efficient project management tools. Building a strong network of collaborators and staying updated on the latest statistical methodologies can also help ensure success in this flexible, dynamic role.

What is the difference between Hourly Phd Statistics vs Data Analyst?

AspectHourly Phd StatisticsData Analyst
Required CredentialsPhD in Statistics or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work EnvironmentResearch settings, academia, consultingBusiness, tech companies, finance
Employer & Industry UsageUniversities, research firms, government agenciesCorporations, startups, marketing firms
Common Search & ComparisonHigh-level statistical analysis, research projectsData interpretation, reporting, visualization

Hourly Phd Statistics roles focus on advanced research and complex statistical modeling, often in academic or research environments. Data Analysts typically handle data processing, analysis, and reporting in business settings. While both roles require strong analytical skills, Hourly Phd Statistics positions demand higher credentials and focus on theoretical work, whereas Data Analysts are more application-oriented.

What are the most commonly searched types of Phd Statistics jobs in Michigan?

The most popular types of Phd Statistics jobs in Michigan are:

What are popular job titles related to Hourly Phd Statistics jobs in Michigan?

For Hourly Phd Statistics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Hourly Phd Statistics jobs in Michigan look for?

The top searched job categories for Hourly Phd Statistics jobs in Michigan are:

What cities in Michigan are hiring for Hourly Phd Statistics jobs?

Cities in Michigan with the most Hourly Phd Statistics job openings:

Research Assistant - Department of Oncology

Wayne State University

Detroit, MI • On-site

$19 - $26.25/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Wayne State University rating

7.6

Company rating: 7.6 out of 10

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Job description

Research Assistant - Department of Oncology
Wayne State University is searching for an experienced Research Assistant - Department of Oncology at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Perform laboratory based scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments/research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research.
Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy.
Assist principal investigator with writing methods and summarizing/organizing data to be used in preparing and presenting presentations for professional, scientific and academic conferences and submittal to academic and scholarly peer-reviewed journals.
Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station.
Perform other related duties as assigned.
Unique duties:
Perform statistical and/or bioinformatics analysis and prepare reports based on plans devised by faculty members. - Assist in preparing manuscripts and abstracts, as well as proofreading accepted manuscripts prior to publication. - Stay up-to-date with statistical/bioinformatics and programming methodologies relevant to cancer research. - Implement assignments with excellence and work collaboratively with staff and faculty. - Compile information from clinical studies and report to ClinicalTrials.gov. - If required, participate in biostatistics/ bioinformatics educational activities related to cancer research for investigators, fellows, residents, and graduate students.
Qualifications:
Education: Bachelor's degree
Bachelor'sdegree in a related field of study, preferred. Requires advanced knowledge predominantlyintellectual in character in a field of science or learning acquired by aprolonged course of specialized intellectual instruction.
Experience: Entry level (less that a year of job-related experience)
Experience performing basic research techniques or interacting with humansubjects, preferred.
Knowledge,Skills and Abilities:
Abilityto work independently. Ability toanalyze, summarize and interpret research findings and data in reports and spreadsheetsand communicate results. Knowledgeof scientific integrity principles. Excellent timemanagement and organization skills. Excellent interpersonal and communication skills anddemonstrated ability to work with others in a collaborative environment. Microsoft office software skills.
Preferred qualifications:
- Master's degree in Biostatistics, Statistics, Biomedical Informatics, Artificial Intelligence, Machine learning, or closely related discipline preferred. - At least 2 years of work experience with R programming, demonstrating excellent proficiency. Any work experience gained during the completion of an MS/PhD degree will be considered as part of this requirement. Statistical and/or bioinformatics work experience in collaborative medical research highly desirable.The candidate must be able to support cancer research across a wide range of biostatistical/bioinformatics domains, provide methodological guidance as needed, and assist with requests received through the Core. A strong desire to learn new statistical/bioinformatics methods is highly expected, given the evolving analytical needs of cancer research. Experience with causal inference, particularly using structural equation modeling, is considered a plus.
School/College/Division:
H06 - School of Medicine
Primary department:
H0632 - Oncology
Employment type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Research
Funding/salary information:
  • Compensation type: Annual Salary
  • Hourly rate:
  • Salary minimum:
  • Salary hire maximum:
Working conditions:
Typical work environment may include a laboratory and/ or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences.
Job openings:
  • Number of openings: 1
  • Reposted position: No
  • Reposted reason: None (New Requisition)
  • Prior posting/requisition number:
Background check requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

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