Career Opportunities

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The Department is always growing and expanding. Below are some of the open positions in the department with descriptions and methods of applying.

For staff positions, please explore http://careers.mskcc.org/.

Faculty Positions in Computational Oncology

The Computational Oncology Program at Memorial Sloan Kettering Cancer Center (MSK) is inviting applications for tenure track faculty positions at the level of Assistant and Associate Member. Cancer research has firmly moved towards quantitative and data driven science. Responding to this challenge, we are seeking exceptional early to mid-career candidates to develop independent research programs that will grow and advance computationally focused cancer research at MSK. We are seeking candidates to develop innovative research programs to drive computational methods development and applied translational data analysis in cancer biology and clinical care. For example:

  • Single cell dynamics of tumors, covering the contexts of drug response, modeling clonal evolution and the tumor microenvironment. Interests in computational methods for single cell ‘omics, cellular imaging, spatial transcriptomics and proteomics
  • AI and machine learning in oncology including multimodal data integration (e.g. genomics with clinical data), medical and cellular imaging, digital pathology
  • Cancer genomics including clinical germline and somatic genetics, endogenous and exogenous mutational processes, structural variations and genomic instability
  • Longitudinal analysis of timeseries data such as cell free DNA, laboratory medicine data, radiologic data
  • The cancer microbiome
  • Drug sensitivity and resistance mechanisms
  • Other emerging areas in cancer research

This year, MSK is conducting a search for two positions - one with a specific focus in computational pathology, to be recruited jointly with the Warren Alpert Center for Digital and Computational Pathology in the Department of Pathology. 

Eligible candidates will have a PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics or a related discipline. Candidates with strong backgrounds in machine learning/AI, algorithm development, mathematical modeling and/or data science and bioinformatics with proven publication track records in biomedical research and/or data-driven discovery are strongly encouraged to apply.

Our program is located at the newly created Computational Oncology Research Campus of MSK, encompassing the Computational Oncology research laboratories, and flanked by other computational groups such as clinical bioinformatics, radiology informatics, high performance computing, the Marie-Josée and Henry R. Kravis Center for Molecular Oncology (CMO) Computational Sciences and Technology Innovation groups. Our faculty develop fully independent computational research programs, collaborating extensively with clinical colleagues at MSK across all disease areas. Our faculty are eligible to hold appointments in the Gerstner Sloan-Kettering Graduate School of Biomedical Sciences, the Weill Cornell Medical College (WCMC) Graduate School and the Tri-Institutional Computational Biology for Medicine program across MSK and WCMC, providing access to exceptional graduate students. 

We seek candidates committed to advancing diversity, equity and inclusion (DEI) in our research community. At MSK, diversity encompasses the variety of personal experiences, values and worldviews that result from differences in race, ethnicity, gender, age, religion, national origin, language, abilities/disabilities, sexual orientations, socioeconomic status, geographic region and more. Please in one page describe: What are your plans to promote diversity as a faculty member and a lab head in the future. 

 

Please send curriculum vitae, a summary of current and proposed research programs, one page description on your plans to promote DEI as a faculty member, and arrange for three letters of recommendation to be sent to:

Dr. Sohrab Shah, Chief Computational Oncology

c/o Cristina Radu

Memorial Sloan Kettering Cancer Center

321 East 61st Street

2nd floor

New York, NY 10065

E-mail: [email protected]

Applications should be received by January 4th, 2021. To learn more about Computational Oncology, please visit: http://CompOncMSK.org 

 

Post-Doctoral Fellowship in Genetic Epidemiology and Computational Genomics

We seek a postdoctoral fellow in genetic epidemiology and computational genomics to join an expanding research group focused on understanding the molecular underpinnings of inherited cancer susceptibility. The fellow will lead analytical studies of germline susceptibility to esophageal adenocarcinoma and its precursor lesion Barrett’s esophagus, with a primary focus on statistical fine-mapping, single-cell sequencing analysis, and functional bioinformatics. As an active member of an interdisciplinary research group, the fellow will build relationships with a range of scientific colleagues, publish peer-reviewed work, present at national conferences, and gain experience in grant writing.

Qualifications and attributes of the ideal candidate include:

  • A doctoral degree in biostatistics/bioinformatics, epidemiology, or related quantitative discipline.
  • Peer-reviewed publications in genetic epidemiology, statistical genetics/genomics, or related fields.
  • Interest in applying statistical and computational approaches to understand cancer susceptibility.
  • Strong understanding of quantitative methods, study design, and data analysis and interpretation.
  • Excellent coding skills in R and/or Python, and experience working on Linux-based clusters.
  • Familiarity with public bioinformatics resources such as Roadmap/ENCODE, GTEx, TCGA.
  • Self-motivated, resourceful, enthusiastic; solid verbal and written communication skills.

Interested applicants should send inquiries and applications to Dr. Matthew F. Buas ([email protected]), Associate Attending, Departments of Epidemiology/Biostatistics and Clinical Genetics. Please include a brief letter of interest, C.V., and contact information for three references.

 

Post-Doctoral Fellowship in Cancer Genetics and Functional Genomics

We seek a postdoctoral fellow in cancer genetics and functional genomics to join an expanding research group focused on understanding the molecular underpinnings of inherited cancer susceptibility. The fellow will lead laboratory-based studies to identify and characterize functional variants and risk genes at recently identified susceptibility loci for esophageal adenocarcinoma and its precursor lesion Barrett’s esophagus, with opportunities to expand into additional cancer sites. As an active member of an interdisciplinary team, the fellow will build relationships with a range of scientific colleagues, publish peer-reviewed work, present at national conferences, and gain experience in grant writing.

Qualifications and attributes of the ideal candidate include:

  • A doctoral degree in genetics, molecular/cellular biology, biochemistry, or related biomedical discipline.
  • Peer-reviewed publications in molecular genetics, gene regulation, or related fields.
  • Strong interest in understanding the biological/mechanistic basis of inherited cancer susceptibility.
  • Established skills in standard laboratory techniques, e.g., cell culture, molecular cloning,

targeted mutagenesis, transfections, luciferase reporter assays, CRISPR, qPCR, ChIP, 3C.

  • Self-motivated, resourceful, enthusiastic.
  • Strong verbal and written communication skills.

Interested applicants should send inquiries and applications to Dr. Matthew F. Buas ([email protected]), Associate Attending, Departments of Epidemiology/Biostatistics and Clinical Genetics. Please include a brief letter of interest, C.V., and contact information for three references.

 

Postdoctoral Fellow, Biostatistics

We are seeking a highly motivated candidate, interested in statistical and computational cancer genomics, for a position as a postdoctoral fellow. This position will focus on developing statistical models and computational methods for the integration of data from multi-modal tumor-profiling (targeted, whole-exome, whole-genome sequencing, DNA methylation, RNA-seq, spatial transcriptomics), and working with a highly interdisciplinary group of investigators toward understanding cancer biology and disease progression.

 

The ideal candidate should have:

  • PhD degree in biostatistics, statistics, bioinformatics, or a related field
  • experience in NGS sequencing data analysis including whole-exomes and whole-genomes
  • Solid methodological training in statistics, be comfortable working with large data sets, proficient in at least one of the statistical programming languages R/Matlab/Python and have experience working on Unix/Linux systems and basic shell scripting

 

Please send CV, a letter outlining your interest and names/contact information of three references via email to:

Samantha Vasquez

Assistant to the Chairman

[email protected]

 

Postdoctoral Fellow for New Telehealth Research Center at Memorial Sloan Kettering Cancer Center

We are seeking a highly motivated postdoctoral fellow in biostatistics who is interested in statistical and computational methods development and application. This position will provide exciting opportunities to work with large-scale multi-center telehealth data and develop novel methods for causal inference, machine learning, data integration, and precision oncology. Successful candidate will work on development, as well as applications of these methods and will participate in knowledge generation and will be expected to publish findings in top-tier statistical and biomedical literature. This position will be supported by MATCHES (Making Telehealth Delivery of Cancer Care at Home Effective and Safe), a new NCI-funded center (https://grants.nih.gov/grants/guide/rfa-files/RFA-CA-21-029.html) dedicated to building the necessary evidence base to guide the appropriate role of telehealth in the delivery of cancer care. A multi-disciplinary team of investigators at MSK has received a 5-year award to support this work and will launch this project in the fall of 2022.

Applicants should hold a Ph.D. degree in biostatistics, statistics, machine learning, or a related field. The successful candidate should have solid methodological training in statistics, be comfortable working with large data sets, be proficient in R and/or Python, and have experience working on Unix/Linux systems. Prior experience with telehealth data, causal inference, and precision medicine would be an asset.

The successful applicant will be supervised jointly by Drs. Yuan Chen, Katherine Panageas, and Mithat Gönen. This position is open immediately. The initial appointment is for two years with a possibility for renewal. To apply, please send a cover letter, CV, research statement (optional) and the names of 3 references by email to Samantha Vasquez at [email protected].

 

Principal Biostatistician

The Biostatistics Service, a group of 45 doctoral and MS-level biostatisticians, is seeking highly motivated and successful doctoral-level individuals to join them as a Principal Biostatistician.

You will:

  • Participate in collaborative research between the Biostatistics Service and one or more of the clinical, translational, or basic science groups in the institution.
  • Support clinical collaborators in the design of studies, analysis of data, and interpretation and communication of results.
  • Act as either the lead statistician for a project or, depending on the nature of the project, collaborate with a team of biostatisticians.

You have:

  • A doctoral degree in statistics, biostatistics, or a related field.
  • Proficiency in a statistical programming language (such as SAS, Stata, or R).
  • Experience with collaborative research (including creating and maintaining data files, analyzing data, interpreting results, and manuscript writing).
  • Excellent verbal and written communication skills.
  • A strong commitment to statistical collaborations with medical and basic science investigators.
  • The ability to manage multiple projects, collaborations, and deadlines.

The department offers exciting opportunities for growth and development at all levels. The position is located in the heart of Manhattan, a vibrant, multi-cultural city that is home to world-class restaurants, museums, and theater. MSKCC offers comprehensive benefits for individuals and family members. Applicants with any level of experience are invited to apply.

 

Research Biostatistician

Research Biostatisticians work as members of a team of statisticians who are engaged in a wide variety of collaborative projects in clinical, laboratory and cancer prevention research (See Faculty Position in Biostatistics). A three level promotional track supports professional development which is fostered through direct supervision of work and regular participation in Service activities such as the Design Workshop, guest and faculty seminars, and the Journal Club. These positions require a Master’s degree in biostatistics or statistics, proficiency in statistical software packages, database manipulation, and good verbal and written communications skills.
If interested, please contact [email protected].

 

Post-Doctoral Fellowship in Molecular Cancer Epidemiology 

We seek a postdoctoral fellow in cancer epidemiology to join Dr. Helena Furberg Barnes’ team in the Epidemiology Service. Her research program is dedicated to improving clinical outcomes for kidney and bladder cancer patients, with an emphasis on modifiable factors such as body size and smoking. A prominent research focus of her group is investigating the BMI paradox wherein obesity increases risk of developing kidney cancer but appears to confer a survival advantage in clinical studies. The fellow will lead projects to determine the prognostic significance of body composition features derived from CT scans, and integrate tumor gene expression data to elucidate the molecular underpinnings of these associations.  There is also the opportunity to identify factors associated with cancer recurrence using a recently completed, prospective study of non-muscle invasive bladder cancer patients featuring biochemically verified smoking status. The fellow will be an active member of cross-disciplinary research teams, publish peer-reviewed papers, present at scientific conferences, and gain experience in grant writing. Experience with SAS, R, RedCap, genomics/genetics, and causal inference methodology preferred but not required.

 

Interested applicants should send a letter of interest, curriculum vitae, and contact information for three references to:

Samantha Vasquez

Assistant to the Chairman

[email protected]

 

Research Assistant in Epidemiology

We are recruiting for a Research Assistant position in Epidemiology

As a Research Assistant you will assist in performing research activities in collaboration with internal/external personnel to complete science based projects. You will independently craft, plan, and develop new methods and technologies for project advancement. You will maintain a high level of expertise through familiarity with scientific literature and implement a quality assurance plan, as well as participate in scientific conferences and contribute to scientific journals.

Click here to apply.

Research Epidemiologist

Research Epidemiologists work as members of the Epidemiology group, engaged in studying the etiology of cancers, the genetic predisposition for cancers, and other avenues of prevention research (See Faculty Position, Epidemiology). A two level promotional track supports professional development which is fostered through direct supervision of work and regular participation in activities such as seminars, and the Epidemiology Journal Club. These positions require a Master’s degree in Epidemiology and/or Public Health, experience in statistical software packages, database manipulation, and good verbal and written communications skills.

Keep an eye on the page in the future for open positions.

 

MSKCC 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.