Job details

Senior Computational Biologist I - CMO Lung Cancer

Pay Range: $107,400.00-$171,800.00 Company Overview:

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. One of the world’s most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.

In compliance with applicable State regulatory authorities, COVID-19 vaccination is mandatory for all MSK staff. Staff are considered fully vaccinated upon completion of a primary vaccination series for COVID-19 (i.e., one dose of a single dose vaccine or a final dose of a multi-dose vaccine series). Exceptions from the COVID-19 vaccine requirement are permitted for those who request and receive an approved medical or fully remote exemption. Requests for medical exemption can take up to two weeks to review. Vaccination or an approved medical exemption is required to start work.

Staff working at a MSK New Jersey location must be up to date with COVID-19 vaccination, which includes having completed the primary COVID-19 vaccination series and booster once eligible as mandated by New Jersey State. All New Jersey staff not yet eligible for a booster must receive a booster within 3 weeks of becoming eligible as a condition of continued employment at MSK.

Note: Individuals are eligible to receive a COVID-19 booster two months after completion of a primary vaccination series for COVID-19. Because vaccine-induced immunity can wane over time, MSK continues to strongly urge all staff to get a COVID-19 booster as soon as they become eligible to maintain their protective immunity for a longer period.

Job Description:

Are you an experienced computational biologist with a passion for cancer genomics? Do you want to work with an innovative team to help unlock the secrets of tumor heterogeneity and dynamics? If you answered yes, then join us here at MSK! We have an exciting opportunity for you! We are seeking a talented computational scientist to join our group dedicated to investigating lung cancer biology. Our group is dedicated to better understanding the biology of lung cancer through the analysis of large-scale sequencing data, including WGS, WES, RNAseq, ctDNA NGS. As a Senior Computational Biologist, you will play a critical role in driving forward our research efforts and collaborating with clinical and industrial partners. You will work with a dynamic and highly collaborative team of experts in the field to develop innovative approaches and techniques, to better understand the complexities of cancer biology. Join us and help make a difference in the fight against cancer.

You Will:

Collaborate with clinical and biological scientists to advance and execute hypothesis-driven research
Dive deeply into sequencing datasets and address novel and clinically relevant questions
Prepare and contribute to scientific manuscripts for publication in journals and conferences
Collaborate with academic and industrial partners at other institutions
Liaise with MSK internal and external collaborators to manage software and databases

You Are:

A highly motivated individual with a passion for cancer genomics and computational biology.
Excited by new datasets and the opportunity to look at data in new ways; adept at learning quickly, applying insights from past efforts to new situations
A team player with excellent communication skills
Adept at building partnerships and working collaboratively with others to meet shared objectives and goals
A good decision-maker, able to manage multiple projects and deliver quality work in a timely manner.
Able to influence others and demonstrate management potential.

You Have:

A Master's or higher degree in a quantitative or biological field (bioinformatics, computer science, statistics, mathematics, molecular biology, or related field).
A minimum of 3 years of experience with high-throughput sequencing data.
Research experience in statistical genetics/genomics; cancer research is strongly preferred.
An understanding of principles behind contemporary computational techniques and basic cancer biology.
Strong programming skills and experience with scientific computing software and scripting languages.
Proven experience in delivering oral scientific presentations and writing scientific articles is also strongly preferred

#LI-HYBRID - Flexibility to come onsite twice a month or as needed. Location : 323 E 61st Street (Macklowe)

Are you ready to learn more about our Benefits?

Pay Range $107,400.00-$171,800.00

Please click to learn more about MSK’s compensation philosophy.

Closing:

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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