- Job ID:
- 450 Brookline Ave, Boston, MA 02215
- Research Laboratory
- Employment Type:
- Full time
- Work Location:
- Onsite:Up to 1 day remote/wk
Computational Research Technician
The laboratory of Zuzana Tothova, MD, PhD is a multi-disciplinary team of physician scientists, scientists and computational biologists at the Dana-Farber Cancer Institute and the Broad Institute. Our laboratory uses genomics and a range of molecular and cellular biological techniques to elucidate the molecular basis of cancer and hematologic disorders and to develop novel therapeutics. Our specific focus is to understand the role of chromatin modifiers and epigenetic factors and find novel therapeutic opportunities in myeloid malignancies, including myelodysplastic syndromes and acute myeloid leukemia.
A full-time Computational research technician position is available in the laboratory of Zuzana Tothova, MD, Ph.D. at Dana-Farber Cancer Institute.
We are seeking enthusiastic, self-motivated individuals who thrive in a fast-paced, challenging research environment, and can interact well with others as part of a cohesive team. If you have a desire to make a significant impact in healthcare and have the fortitude to work hard, you will succeed within this team.
This is an ideal entry-level position into the world of cutting-edge laboratory research. A growth mindset and a willingness to take on challenging learning opportunities will be sought out traits. Ideal candidates will possess strong interpersonal skills along with a desire to help others to succeed.
Previous team members have gone on to successful academic and career opportunities; graduate/medical school, independent faculty, consulting, and industry.
The candidate will be involved in a series of research activities, including computational analysis of large-scale data sets generated in vitro and in vivo human disease relevant models and use of next generation sequencing with a special emphasis on understanding the biology of human myeloid malignancies.
The candidate is expected to work largely independently on a daily basis after training, and will be closely mentored by a physician scientist. They will interact and collaborate closely with other scientists, biologists, chemists and computational biologists.
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.
- Works closely with computational biology colleagues and collaborators at the Dana-Farber Cancer Institute and the Broad to analyze biological data sets, including but not limited to DNA sequencing, gene expression and transcriptome analysis, chromatin landscape profiling, and analysis of microscopy/imaging data.
- Modifies and maintains existing data-processing pipelines in the lab, and develops new pipelines and tools to analyze novel forms of data, including data cleaning, normalization, and visualization.
- Integrates multiple data sets to answer targeted scientific questions.
- Documents and compiles findings in oral and written reports.
- Attends team meetings to share results, plan projects and experiments.
- Maintains and improves technical knowledge base.
- Other related tasks as required.
- Bachelor degree in computational biology or related field required.
- Experience with programming and large-scale data analysis required.
- Experience with principles of molecular biology and genetics are required.
- Excellent written, documentation and oral communication skills required.
- Strong organizational skills, including the ability to handle a variety of tasks in a fast-paced environment required
- Passion for science and strong motivation required.
- Must be a strong team player.
- Strong interpersonal, communication and organizational skills, including the ability to handle a variety of tasks in a fast-paced environment, positive attitude and attention to detail, as well as ability to think on one’s feet are required.
- Must possess a high level of initiative, curiosity and dedication, proactivity in identifying problems and solutions to address them.
- Proficiency in R or Python and adaptability to new programming languages required.
- Experience navigating Linux/Unix systems required.
- Familiarity with bioinformatics data types (e.g. FastQ, BAM, BigWig) and software (e.g. DeepTools, MACS, HOMER) preferred.
We are looking for candidates with at least 2 years of availability.
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 groups as protected by law.