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Overnight Computer Science Postdoc Jobs in Florida

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Overnight Computer Science Postdoc information

What is the difference between Overnight Computer Science Postdoc vs Research Scientist?

AspectOvernight Computer Science PostdocResearch Scientist
CredentialsPhD in Computer Science or related fieldMaster's or PhD, often with specialized expertise
Work EnvironmentAcademic or research institution, often with flexible hoursIndustry labs or corporate R&D, standard working hours
Employer & IndustryUniversities, research institutesTech companies, R&D divisions
Search & Comparison IntentUnderstanding academic vs industry roles, work hours, credentialsCareer transition, industry-specific roles

The Overnight Computer Science Postdoc typically involves academic research with flexible hours and a focus on advancing knowledge in computer science. In contrast, a Research Scientist usually works in industry, with standard hours and applied research goals. Both roles require advanced degrees, but their work environments and career paths differ significantly.

What are the key skills and qualifications needed to thrive as an Overnight Computer Science Postdoc, and why are they important?

To thrive as an Overnight Computer Science Postdoc, you need a PhD in computer science or a related field, strong research skills, and expertise in your chosen area of study. Experience with programming languages (such as Python, Java, or C++), data analysis tools, and version control systems like Git is critical, along with familiarity with relevant computational frameworks. Excellent problem-solving abilities, self-motivation, and strong written and verbal communication skills help you excel in independent and collaborative research, especially during non-standard hours. These competencies enable you to contribute original findings, manage complex projects, and effectively communicate results within the academic community.

What is an Overnight Computer Science Postdoc?

An Overnight Computer Science Postdoc is a postdoctoral researcher in computer science who primarily works during nighttime hours. These positions typically involve conducting advanced research, collaborating on academic papers, and contributing to ongoing projects in areas like artificial intelligence, machine learning, or cybersecurity. Working overnight may be required to align with global research teams, utilize available computing resources, or accommodate personal schedules. Applicants generally need a recent Ph.D. in computer science or a closely related field. The role helps postdoctoral researchers gain further experience and prepare for faculty or industry positions.

What are the typical challenges faced by an Overnight Computer Science Postdoc and how can they be managed effectively?

An Overnight Computer Science Postdoc often faces the challenge of maintaining productivity and focus during non-traditional working hours, which can impact work-life balance and collaboration with daytime colleagues. Managing these challenges involves establishing a structured routine, utilizing collaboration tools to stay connected with team members, and setting clear communication expectations. Additionally, it's important to prioritize self-care and leverage flexible scheduling when possible to maintain overall well-being and research effectiveness.
What are the most commonly searched types of Computer Science Postdoc jobs in Florida? The most popular types of Computer Science Postdoc jobs in Florida are:
What cities in Florida are hiring for Overnight Computer Science Postdoc jobs? Cities in Florida with the most Overnight Computer Science Postdoc job openings:
Overnight Computer Science Postdoc jobs near you
Postdoctoral Fellow for Computational Oncology and AI in Cellular Immunotherapy and Immuno-Oncology

Postdoctoral Fellow for Computational Oncology and AI in Cellular Immunotherapy and Immuno-Oncology

H. Lee Moffitt Cancer Center

Tampa, FL • On-site

$44K - $60K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

70th of 870 rated healthcare providers

Job description

The Intelligent Cancer Omics and Immuno-Oncology (ICON) Lab, led by Dr. Xuefeng Wang, within the Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Center—an NCI-designated Comprehensive Cancer Center and one of the nation’s top-ranked cancer research institutes—is recruiting a Postdoctoral Fellow.

Position Highlights:

The fellow will contribute to cutting-edge projects leveraging artificial intelligence and advanced bioinformatics to drive innovation in cancer genomics and biomarker discovery. This position offers interdisciplinary training in both computational and translational oncology, with resources and supervision provided jointly by the Department of Biostatistics & Bioinformatics, Department Blood and Marrow Transplant and Cellular Immunotherapy and Moffitt Immuno-Oncology Program. The position is available immediately and will remain open until filled.

The Ideal Candidate:

  • Research background/experiences in artificial intelligence, bioinformatics, biostatistics/statistics, computational biology, or genomics.
  • A highly motivated and independent researcher with a strong quantitative scientific background.
  • Prior experience in cancer genomics in not required, but a strong willingness and ability to learn new fields is highly desirable.
  • Committed to producing high-quality, high-impact research and contributing to publications and grant proposals.

Responsibilities:

  • Discover and validate new predictive biomarkers using large-scale cancer omics datasets, including single-cell and spatial omics data.
  • Develop and extend computational, statistical and machine learning methods to advance cancer clinical and translational research.
  • Design and implement novel visualizing tools to facilitate interpretation of complex omics results.
  • Collaborate with clinicians and scientists across Moffitt clinical and research programs.

Credentials and Qualifications:

Required: PhD in Bioinformatics, Computer Science, Computational Biology, Statistics/Biostatistics, Data Science, or related quantitative fields.

Preferred:

  • Strong programming skills in languages such as Python and R.
  • Research background in AI and machine learning.
  • Experience of processing and integration of multi-omics data including single-cell RNA-seq, spatial omics, etc.
  • Excellent communication and writing skills.

Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, current CV with recent publications, and contact information of at least two references to xuefeng.wang@moffitt.org. Informal inquiries are also welcome and may be directed to Drs. Wang (Xuefeng.Wang@moffitt.org) or Locke (Frederick.Locke@moffitt.org).

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