Postdoctoral Researcher in Cancer Computational Biology (blood and prostate cancer)

Department of Pathology, Albert Einstein College of Medicine, Bronx, NY

The Verma Laboratory in the Department of Pathology at Albert Einstein College of Medicine is seeking highly motivated Postdoctoral Fellows to join a dynamic, fully funded research program investigating how environmental exposures and inflammation drive hematopoietic stem cell dysfunction, clonal hematopoiesis, and the development of blood and prostate cancers.

Our research bridges basic, translational, and clinical studies to uncover mechanisms linking inflammation, DNA damage, and stem cell aging to cancer initiation and progression. Using murine and humanized models, human patient samples, DNA methylation seq, single-cell multiomics (CITE-seq), advanced flow cytometry, proteomics, and mechanistic studies, we aim to identify therapeutic targets within inflammatory pathways. We are also testing novel investigational drugs targeting inflammatory pathways in preclinical models and early-phase clinical trials, providing an exceptional opportunity for translational impact.

Program/Position Description:

• Analyze next-generation sequencing (NGS) data, including:
• Bulk DNA-seq and RNA-seq
• Whole DNA methylation seq
• Single-cell RNA-seq
• Spatial transcriptomics
• Develop computational and statistical methods for multi-omic and single-cell data
• Integrate diverse molecular data to study tumor evolution and therapeutic response
• Collaborate with clinicians and basic scientists
• Investigate mechanisms of tumor heterogeneity and resistance
• Mentor graduate and undergraduate students and rotation trainees
• Present research at scientific conferences and contribute to peer-reviewed publications

Eligibility requirements for the position.

Required Qualification:

• Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field
• Proficiency in R or Python
• Minimum one year of experience in computational biology or cancer genomics
• Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP)
• First-author peer-reviewed publication
• Strong communication and scientific writing skills

Preferred qualifications:

• Hands-on experience with single-cell and spatial transcriptomic analysis
• Familiarity with multi-omic data integration workflows
• Cancer biology background or translational research experience
• Knowledge of machine learning, Bayesian modeling, or statistical method development

Ideal Personal Attributes:

• Independent, proactive, and scientifically curious
• Detail-oriented and committed to reproducible research
• Strong team player with mentoring and collaborative experience
• Critical thinker with strong problem-solving abilities

Einstein offers a highly collaborative environment with access to state-of-the-art core facilities, mentorship, and career development resources.

To Apply:

The application should include a brief CV (no more than 3 pages), research statement that describes past accomplishments, research interests and career goals (one page) and information of three referees, emailed as a single pdf to Dr. Divij Verma at Divij.verma@einsteinmed.edu

For more information about our work, visit https://divijvermalab.com

Salary: $65,000.00-$75,000.00 (commensurate with qualifications and experience) benefits.

Closing data: Applications will be accepted on a rolling basis until the position is filled.

The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.