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What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Plant Genomics, and why are they important?

To thrive as a Postdoctoral Researcher in Plant Genomics, you need a PhD in plant biology, genetics, or a related field, with expertise in genomics and molecular biology techniques. Proficiency with bioinformatics tools, next-generation sequencing platforms, and data analysis software like R or Python is typically required. Strong problem-solving abilities, critical thinking, and effective scientific communication skills help you collaborate and share findings. These skills ensure rigorous research, accurate data interpretation, and impactful contributions to advancing plant genomics knowledge.

What is a postdoctoral researcher in plant genomics?

A postdoctoral researcher in plant genomics is a scientist who has completed their Ph.D. and is engaged in advanced research focused on the genetic makeup of plants. Their work typically involves designing and conducting experiments, analyzing genomic data, and publishing findings related to plant genetics, evolution, or biotechnology. Postdocs in this field often work in academic, government, or industry labs, contributing to our understanding of plant biology and helping to develop improved crop varieties. They may also mentor students and collaborate with other researchers.

What are the typical collaborative opportunities for a Postdoctoral in Plant Genomics within academic or research institutions?

Postdoctoral researchers in Plant Genomics often work in interdisciplinary teams, collaborating closely with molecular biologists, bioinformaticians, and agronomists. These collaborations can involve joint research projects, co-authoring publications, and participating in grant applications. Engaging with diverse experts not only enhances research outcomes but also provides valuable networking and learning opportunities, which can be crucial for career advancement. Many institutions also encourage postdocs to mentor graduate or undergraduate students, further developing leadership and communication skills.
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Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

Moffitt Cancer Center

Tampa, FL • On-site

$46K - $62K/yr

Full-time

Posted 10 days ago

Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

68th of 890 rated healthcare providers

Job description

Job Summary:
Moffitt Cancer Center is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, dedicated to the prevention and cure of cancer. They are seeking a Postdoctoral Fellow in Bioinformatics to participate in research projects leveraging chemoproteomics and cancer genomics data to advance cancer biology and therapeutic discovery.
Responsibilities:
• Analyze and integrate high-dimensional chemoproteomics datasets with multi-omotic data (e.g., genomics, transcriptomics, proteomics) from public repositories such as DepMap and TCGA
• Develop, implement, and maintain robust computational pipelines in R and other programming languages (e.g., Python) for data processing, statistical analysis, and visualization
• Mine and interpret large-scale CRISPR screening datasets to identify novel cancer dependencies and therapeutic targets, utilizing resources such as DepMap and published CRISPR screens
• Collaborate with interdisciplinary teams of biologists, chemists, and clinicians to design and execute integrative studies, and contribute to the functional validation of computational predictions
• Present research findings at internal meetings and national/international conferences; publish results in high-impact journals
• Mentor junior researchers and contribute to grant writing and manuscript preparation
Qualifications:
Required:
• PhD in Bioinformatics, Computational Biology, Cancer Biology, Genomics, or a related field is required
• Demonstrated expertise in R and proficiency in other programming languages (e.g., Python)
• Experience working with and mining large public cancer genomics databases, such as DepMap and TCGA
• Proven track record in analyzing and integrating chemoproteomics and/or functional genomics datasets, especially CRISPR screening data
• Strong understanding of statistics and machine learning concepts as applied to biological data
• Excellent written and verbal communication skills, with a history of publishing in peer-reviewed journals
• Ability to work independently and collaboratively in a multidisciplinary research environment
Preferred:
• Experience with drug development and/or chemistry
• Familiarity with AI/ML approaches for biological data analysis
• Prior experience in cancer research or translational bioinformatics
Company:
Moffitt Cancer Center are contribute to the prevention and cure of cancer. Founded in 1984, the company is headquartered in Tampa, USA, with a team of 10001+ employees. The company is currently Late Stage.

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