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Cancer Genomics Phd Jobs (NOW HIRING)

Dana-Farber Cancer Institute

$53K - $72K/yr

A PhD in computational biology, bioinformatics, statistics, computer science (Machine Learning ... Experience with cancer genomics, computational analysis, algorithm development, statistics and ...

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Cancer Genomics Phd information

What is the difference between Cancer Genomics Phd vs Cancer Research Scientist?

AspectCancer Genomics PhdCancer Research Scientist
Required CredentialsPhD in genomics, molecular biology, or related fieldBachelor's or Master's in biology, biochemistry, or related field; often requires PhD for advanced roles
Work EnvironmentAcademic labs, research institutions, biotech companiesResearch labs, pharmaceutical companies, academic institutions
Industry UsageDesigns and conducts genomics-focused research on cancerConducts broader cancer research, including experimental and clinical studies

While both roles involve cancer research, Cancer Genomics Phds specialize in genomic data analysis and sequencing technologies, whereas Cancer Research Scientists may focus on broader experimental approaches. The Phd provides advanced expertise in genomics, often leading to more specialized positions in research teams.

What is a Cancer Genomics PhD and what do professionals in this field do?

A Cancer Genomics PhD is an advanced academic and research degree focused on studying the genetic and genomic factors that drive the development and progression of cancer. Professionals in this field use cutting-edge technologies to analyze cancer genomes, identify genetic mutations, and uncover how these changes contribute to tumor growth and treatment resistance. Their work helps to improve cancer diagnosis, inform personalized treatment strategies, and develop new therapeutic approaches. Graduates often work in academic research, biotechnology companies, pharmaceutical industries, or clinical settings, contributing to advances in cancer prevention, detection, and therapy.

What are the key skills and qualifications needed to thrive as a Cancer Genomics PhD, and why are they important?

To thrive as a Cancer Genomics PhD, you need a deep understanding of molecular biology, genetics, and bioinformatics, typically supported by a doctoral degree in a relevant field. Proficiency with next-generation sequencing (NGS) technologies, data analysis software like R or Python, and experience using genomic databases is crucial. Strong analytical thinking, problem-solving skills, and effective scientific communication help you collaborate and share findings with multidisciplinary teams. These skills are essential for advancing cancer research, interpreting complex genomic data, and contributing to personalized medicine.

What are some common challenges faced by Cancer Genomics PhDs when transitioning from academia to industry roles?

Cancer Genomics PhDs often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing translational research goals, and working within cross-functional teams. Unlike academia, industry settings frequently require balancing scientific rigor with practical business objectives and regulatory considerations. Effective communication with colleagues from non-scientific backgrounds and learning about product development pipelines are also key adjustments. Proactively developing project management and interdisciplinary collaboration skills can ease this transition and open up diverse career advancement opportunities.
Infographic showing various Cancer Genomics Phd job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 81% Full Time, 10% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.
Postdoctoral Fellow in Bioinformatics a" Chemoproteomics & Cancer Functional Genomics

Postdoctoral Fellow in Bioinformatics a" Chemoproteomics & Cancer Functional Genomics

H. Lee Moffitt Cancer Center

Tampa, FL

$44K - $60K/yr

Full-time

Posted 29 days ago

Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

72nd of 867 rated healthcare providers

Job description

Postdoctoral Fellow in Bioinformatics – Chemoproteomics & Cancer Functional Genomics

Position Overview

A postdoctoral fellow position is available for a highly motivated scientist with expertise in bioinformatics, chemoproteomics, and functional genomics. The successful candidate will participate in research projects leveraging large-scale chemoproteomics datasets, integrating these with public cancer genomics resources, and mining CRISPR screening data to advance cancer biology and therapeutic discovery.

Key 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

Required Qualifications:

  • 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 Qualifications

• Experience with drug development and/or chemistry

• Familiarity with AI/ML approaches for biological data analysis.

• Prior experience in cancer research or translational bioinformatics

Application Instructions:

Interested applicants should submit a CV, a cover letter outlining research experience and interests, and contact information for three references. Applications will be reviewed on a rolling basis.

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