Research Assistant | Laboratory of Systems Cancer Biology

Research Assistant | Laboratory of Systems Cancer Biology Rockefeller University - 4.1 New York, NY Job Details Full-time $50,000 - $55,000 a year 3 hours ago Benefits On-the-job training Qualifications Statistical analysis tools

Full Job Description Organization Overview:

Cancer remains a daunting problem despite decades of active research into its molecular causes. Such studies have predominantly focused on the earliest stages of cancer progression, such as the formation of a cancer or genes involved in the growth of the primary tumor. In humans afflicted by cancer, the primary tumor is typically surgically resected or eliminated by radiation. Vast numbers of patients, nonetheless, die of cancer as a result of metastasis or the spread of cancer cells from the primary tumor site to distal organs. This process is, in fact, the overwhelming cause of death from cancer, and its occurrence changes a patient's prognosis to incurable. Despite its vast clinical significance and inherently fascinating underlying biology, the metastatic program is poorly understood both at the molecular level and at the cellular/tissue micro-environment levels. Our laboratory employs a multi-disciplinary approach involving molecular, biochemical, computational, imaging, and clinical association methods to characterize the critical regulatory pathways that mediate the steps of this process. By implanting human cancer cells obtained from patients with breast or colon cancer into recipient mice, we study and interfere with the various stages of metastasis. By comparing human cancer cells that are highly metastatic to those that fail to metastasize, we have uncovered a set of small RNA molecules (microRNAs) that suppress metastasis. Our future work is aimed at gaining a better understanding of the mechanisms by which these microRNAs block metastasis. Our hope is that a better understanding of this process will enhance our therapeutic arsenal against it.

Overview:

The Tavazoie Lab at the Rockefeller University is looking for a highly motivated, detail-oriented Research Assistant to join our efforts to study the basic principles of cancer metastasis, genomics and gene regulation in cancer. As a research assistant you will be trained in a broad range of in vitro , in vivo and in silico experimental techniques to support collaborative research projects. The successful candidate will play an active role in experimental execution, data generation, and quality control, working closely with a senior scientist.

Responsibilities:

Responsibilities include: Maintain cell cultures and perform cell based in vitro assays Perform molecular assays including but not limited to protein and RNA analysis, qPCR, W-blots, ELISA and library preparation Maintain mice colonies including genotyping and breeding Perform tumor growth studies in mouse models, administration of test articles, sample collection and tissue processing Learn and assist in analyzing sequencing data using established pipelines Maintain detailed experimental records of laboratory procedures and results Assist and collaborate with internal and external researchers in interpretation of the data Support general lab operations, including reagent management, ordering and the generation and maintenance of lab inventories Participate actively in lab meetings and scientific discussions The successful applicant will be part of a fast-paced and dynamic research team. The Tavazoie Lab will provide significant on-the-job training and supervision. We seek a candidate who is motivated and can take independent initiative. This is an excellent opportunity for someone looking to gain experience to move into a PhD or MD-PhD program within a couple of years, based on the new skillset they develop at The Rockefeller University.

Qualifications:

REQUIRED QUALIFICATIONS

BS or MS degree in Biology, Biochemistry, or related field Strong organizational skills and attention to detail Ability to work both independently and collaboratively in a fast-paced research setting Clear communication skills and a high level of scientific integrity Team-oriented with excellent written and verbal communication skills, collaboration skills and an eagerness to learn Basic experience with standard and/or advanced data analysis software tools (Excel, R, or similar)

PREFERRED QUALIFICATIONS

Prior laboratory experience and demonstrated familiarity with basic molecular biology techniques Experience with RNA isolation and tissue culture Familiarity with handling research animals (mice)

COMPETENCIES

Technical and Professional Skills:

Consistently demonstrates knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments.

Collaborative & Communicative:

Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so.

Adaptable & Innovative:

Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Compensation Range:

Min:

USD $50,000.00/Yr.

Compensation Range:

Max:

USD $55,000.00/Yr.