Bioinformatics Engineer II - Genomics Algorithm Development
Memorial Sloan Kettering Cancer Center
Internal Number: 56268
At Memorial Sloan Kettering (MSK), we're not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we're driving excellence and improving outcomes. We're treating cancer, one patient at a time. Join us and make a difference every day.
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.
We are seeking a creative developer with a strong statistics and machine learning background to join Sloan Kettering Institute's Single Cell Research Initiative (SCRI). The team's goal is to develop cutting-edge algorithms to interpret the flood of data emerging from single-cell technologies in order to explore questions in tumor heterogeneity, metastasis and the tumor-immune environment. If you would rather apply your superb programming and analytical skills towards a cancer cure than to finance and shopping carts, our dynamic multi-disciplinary team is the place for you.
SCRI is directed by computational biologist Dr. Dana Pe'er, a pioneer with a strong track record of developing new conceptual approaches and widely used tools in the single-cell analysis field. We collect big biological data, primarily from multi-dimensional single-cell technologies such as single-cell RNA sequencing and high-parameter imaging. You will develop and implement algorithms that process, integrate and visualize the multiple data types, allowing data scientists, biologists and clinicians to interact with and interpret the data. A key focus is the single-cell profiling of patient samples, with the goal of improving immunotherapy and precision medicine. Join us if you are an innovative thinker and want to make an impact!
As a Bioinformatics Software Engineer, you will:
Design and develop algorithms and software to process, normalize, organize, visualize and interpret data from multiple modalities, including from single-cell and imaging technologies
Design and implement novel machine learning algorithms to integrate genomics data collected from clinical cohorts
Implement new features, maintain and test existing SCRI code infrastructure
Evaluate and compare best practices for processing and analyzing different data types
Provide consultation, guidance and training to research scientists using SCRI tools
Bachelor's or Master's degree with strong machine learning or stats components, and 3+ years of programming experience; or PhD in math, physics or computer science; or equivalent experience
Bioinformatics/genomics experience and familiarity with common concepts, terminologies and software currently used in the field
Experience designing large software tools and writing efficient code
Proficiency in the testing process; ability to debug and modify code and use Git workflows
Analytical, reasoning, mathematical and problem-solving skills to develop algorithms
Advanced knowledge of algorithms and statistics
Proficiency in Python (including building distributable Python modules)
Proficiency working in cloud and HPC environments
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.
At Memorial Sloan Kettering (MSK), we’re not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we’re driving excellence and improving outcomes. For the 28th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2018, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2018. We’re treating cancer, one patient at a time. Join us and make a difference every day.