Postdoctoral Fellowship in Biostatistics

We are seeking a highly motivated candidate interested in developing and applying novel statistical methods in MSK’s interdisciplinary microbiome research program for a position as a postdoctoral fellow. The successful candidate will work on developing innovative high-dimensional statistical methods, scalable computational algorithms, and accessible software packages for MSK’s unique and continuously growing clinical microbiome database of more than 10,000 longitudinal stool samples with comprehensive metadata. This position presents exciting opportunities to advance our understanding of microbial associations with patient outcomes, medications, nutrients, or multi-omics, and to answer impactful clinical research questions in a data-driven approach. The successful candidate will collaborate with a closely-knit microbiome research team consisting of physician-scientists, computational biologists, and wet-lab research technicians, fostering mutual supports across various domains. The postdoctoral fellow will be co-mentored by Drs. Teng Fei and Li-Xuan Qin for an initial period of two years, with the potential for extension into a third year.

The ideal candidate should possess:

• A doctoral degree in biostatistics, statistics, computational biology, bioinformatics, or a related discipline.
• Experiences in one or more of the following areas: high-dimensional data, compositional data, longitudinal/survival data, and mixture modeling.
• Experiences in high performance computing system and/or statistical software development.
• Excellent communication and teamwork skills.

This position is open immediately until filled. Prospective applicants are invited to submit their CV, along with a letter expressing their interest and addressed to Drs. Teng Fei and Li-Xuan Qin, as well as the names and contact information of three references. Submissions should be sent to:

Maria Andrade Aray

Assistant to the Chairman

[email protected]

Postdoctoral Fellowship in Biostatistics

We are seeking a highly motivated candidate, interested in statistical cancer genomics, for a position as a postdoctoral fellow. The position will take advantage of the InterMEL study, an international consortium effort that has generated a large primary melanoma tissue resource and multi-modal tumor-profiling (DNA sequencing, DNA methylation, RNA-seq, multiplexed tissue imaging, and spatial transcriptomics). An example of a potential project relates to identifying driver mutations within and across oncogenic pathways, and their association with epigenomic, transcriptomic output, and tumor microenvironment characteristics. The candidate will develop statistical methodologies using the InterMEL data resource and work with a highly interdisciplinary group of investigators toward understanding cancer biology and disease progression. The position will be co-mentored by Drs. Ronglai Shen and Colin Begg.
 

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 preferred but not required
• 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:
Andrade Aray, Maria
Assistant to the Chairman
[email protected]

Postdoctoral Fellowship in Biostatistics

We are seeking a highly motivated candidate interested in developing and applying novel statistical methods in the quickly emerging area of data integration for a position as a postdoctoral fellow. The candidate will be involved in various collaborations with a multidisciplinary research team to develop innovative statistical methods to address various challenges of integrating data from different observational epidemiologic studies and population-based surveys with only partial information, for mediation analysis. This position will provide exciting opportunities to work on statistical techniques for non- and semi-parametric statistical models with moderate/high-dimensional mediators while dealing with the practical complexities of large, complex studies with multiple data sources used by modern scientists. The postdoctoral fellow will be co-mentored by Drs. Andriy Derkach and Chaya Moskowitz and for a period of two years, with the possibility of extension for a third year.

The ideal candidate should have:

• PhD degree in biostatistics, statistics, bioinformatics, or a related field
• Experience in methodology in the areas of missing data, public health studies under various sampling designs and high-dimensional data is desired but not required
• 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

Interested applicants should please email their CV, a letter addressed to Drs. Andriy Derkach and Chaya Moskowitz outlining their interest, as well as names/contact information of three references to:
Maria Andrade Aray
Assistant to the Chairman
[email protected]
 

Postdoctoral Fellowship in Biostatistics

We are seeking a highly motivated candidate, interested in statistical and computational methods development and application in immuno-oncology studies, for a position as a postdoctoral fellow. This position will focus on analyzing high-dimensional flow cytometry data, single-cell RNA sequencing, multiplex imaging, and spatial transcriptomics in patients treated with immune checkpoint blockade (ICB) with rich clinical annotation. The candidate will have the opportunity to lead the development of novel statistical and computational approaches and work with world’s leading immuno-oncology experts.

Applicants should hold a Ph.D. degree in biostatistics, statistics, bioinformatics, or a related field, ideally with experience in high dimensional data analysis. The successful candidate should have 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. Prior experience with single-cell data would be an asset.

The successful applicant will be supervised jointly by Drs. Ronglai Shen, Katherine Panageas and Margaret Callahan. To apply, send a cover letter, cv, and the names of 3 references to Ronglai Shen ([email protected]): Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, New York, NY 10017.

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].

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].

Faculty Position in Computational Oncology, Memorial Sloan Kettering Cancer Center

The Computational Oncology Program at Memorial Sloan Kettering Cancer Center (MSK) is inviting applications for tenure track faculty positions. We are seeking exceptional candidates to join our faculty and develop independent investigator-led, computationally-focused cancer research programs. Computational Oncology at MSK has grown to ten faculty members who have created a vibrant, dynamic and collaborative scientific community in the field of computational oncology. Successful candidates will be supported to develop world-leading independent scientific programs to advance our understanding of cancer biology and conduct next generation translational research driven by data science, artificial intelligence, machine learning, computer science, computational biology and other quantitative fields. You will have the opportunity to collaborate with exceptional clinician-scientists, generate unique experimental data, analyze unique real-world datasets and to study biospecimens derived from the MSK patient population.

Areas of particular interest include but are not limited to:

• Single cell dynamics of tumors
• Anti-tumor immunity and immuno-oncology
• Drug sensitivity and resistance mechanisms
• Computational pathology, medical and cellular imaging
• Large language models for cancer data
• Multimodal data integration (e.g. genomics with clinical data & pathology images)
• Longitudinal analysis of real world data from patients
• The cancer microbiome
• Computational method development for any of the above areas
• Other emerging areas in cancer research

Eligible candidates will have a PhD or MD/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, data science or data-driven discovery are strongly encouraged to apply.

Our program is located at the newly created Computational Oncology Research Campus of MSK on the Upper East Side of New York, in close proximity to Memorial Hospital, Weill Cornell Medical College, and Rockefeller University. 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 & Medicine program across MSK and WCMC, providing access to exceptional graduate students.

We seek candidates committed to advancing equity, diversity, and inclusion (ED&I) 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 send your cover letter, curriculum vitae, a summary of current and proposed research programs, and arrange for three letters of recommendation to be sent to: Dr. Sohrab Shah, Chief of Computational Oncology, c/o Cristina Radu, Memorial Sloan Kettering Cancer Center, 321 East 61st Street 4th floor, New York, NY 10065; E-mail: [email protected].

Applications should be received by 12/01/2023. To learn more about recent advances from our Computational Oncology labs, please visit: http://CompOncMSK.org/news.

Postdoctoral Fellow in computational single-cell genomics

The newly formed Soldatov lab is seeking to recruit Postdoctoral Fellows to join us at Memorial Sloan Kettering Cancer Center (MSKCC) in New York. The lab is part of a dynamic and highly collaborative Computational Oncology Program, a significant new initiative in the field of Computational Oncology.   Motivated by new advances in machine learning and high-resolution sequencing and imaging technologies, the group is focused on important questions arising in understanding normal tissue function and disease dynamics of cancers. Successful candidates will drive key research questions that cross cut the themes of somatic evolution, regulation of cell fate decisions, and organization of the microenvironment. The projects will involve analysis of multi-omics, pooled perturbations and spatially-resolved datasets. The candidates will have an opportunity to focus on developing computational methods, work on ambitious collaborative projects and develop new projects. Lab website: https://componcmsk.org/quantitative-cell-dynamics-soldatov.

Positions are available for candidates who have or will soon have a PhD and a demonstrated track research record in the fields of functional genomics, transcriptomics, computational biology, bioinformatics or related discipline (computer science, physics, data science, statistics). Applications will be considered on scientific merit and we seek to support gender, racial, ethnic, and other underrepresented groups in biomedical sciences, including exceptional candidates for The Henry and Alexia Fernandez Computational Oncology Fellowship. MSK provides strong support for the development of postdocs, competitive salaries and benefits.

Click here to apply: https://careers.mskcc.org/vacancies/2023-66684-postdoctoral-fellow-in-computational-single-cell-genomics/ 

Postdoctoral Fellowship in Molecular/Genetic Epidemiology

We are seeking a highly motivated candidate interested in joining an NCI-funded research group focused on understanding the genetic architecture of breast cancer and identifying novel molecular biomarkers for gastrointestinal cancers. The postdoctoral fellow will be mentored by Dr. Xiang Shu for a period of two years, with the possibility of extension for a third year. There are three major ongoing research areas at Dr. Shu’s lab: 1) Metabolomics/proteomics studies of gastrointestinal cancer using prediagnostic blood samples or pre-cancer tissues; 2) Single cell omics and functional investigation to identify putative causal variants, susceptibility transcription factors, and genes underlying triple negative breast cancer; 3) Mendelian randomization analysis related to cancer etiology. Full list of publications: https://www.ncbi.nlm.nih.gov/myncbi/1-Wzd30p7ZKQG/bibliography/public/

The ideal candidate should have:

• PhD degree in epidemiology, bioinformatics, data science, or a related field
• Solid methodological training in molecular/genetic epidemiology, be comfortable working with large data sets, proficient in at least one of the statistical programming languages R/Python and have experience working on Unix/Linux systems and basic shell scripting
• Experience in GWAS and (bulk/single cell) omics data analysis
• Experience in handling data from large population-based cohort, UK Biobank, EHR is desired but not required

Interested applicants should please email their CV, a letter addressed to Dr. Shu outlining their interest, as well as names/contact information of three references to:

Maria Andrade Aray

Assistant to the Chairman

[email protected]