Postdoctoral Research Fellow - Computational Genomics, Hovestadt Lab

Dr. Volker Hovestadt is seeking a Postdoctoral Research Fellow - Computational Genomics to join his team.

The Hovestadt Lab in the Department of Pediatric Oncology at Dana-Farber Cancer Institute (https://hovestadtlab.github.io, affiliations with Boston Children’s Hospital and the Broad Institute of MIT and Harvard) is seeking a highly motivated computational postdoctoral research fellow. Our lab studies childhood brain tumors and leukemias, two of the most common cancers in children. We aim to better understand tumor biology using cutting-edge experimental and computational approaches. Translational goals of our research include the development of more accurate patient classification systems and novel treatment strategies.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Requirements

The postdoctoral fellow will perform computational analyses of novel single-cell epigenomic datasets (incl. DNA methylation) generated from different types of childhood cancers. The goal of these analyses is to identify tumor-specific alterations relative to their respective cellular origins and to understand their role in tumor formation. The project provides ample opportunity to advance scientific skills and to collaborate with world renowned experts in the fields of childhood brain tumor research and epigenomics. Candidates need to be passionate about cancer research and intrinsically motivated. Creativity and innovative/independent thinking are a must.

Qualifications

• A PhD in Cancer Biology, Epigenetics/Genetics, Computational Biology, or related discipline

• Experience in developing computational methods to analyze and visualize new types of genomic data

• Understanding of human developmental biology and recent single-cell profiling efforts

• Demonstrated ability to work collaboratively with scientists from other disciplines

• Good oral and written communication skills

• An outstanding academic track record

Interested applicants must apply to the role and send a cover letter and their CV to James McLean (JamesA_McLean@dfci.harvard.edu). Letters of support will be asked for later

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

EEO Poster

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Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).

$72,000.00 - $76,385.00