Post-Doctoral 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.

Post-Doctoral 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/ 

Post-Doctoral Fellowship in Genetic Epidemiology and Computational Genomics

We seek a postdoctoral fellow in genetic epidemiology and computational genomics to join an NIH-funded research group focused on understanding the molecular underpinnings of inherited cancer susceptibility. The fellow will lead an array of analytical studies aimed at identifying functional/causal variants and risk genes at novel susceptibility loci for esophageal adenocarcinoma, a highly lethal cancer, and its precursor lesion Barrett’s esophagus. These studies will incorporate single-cell sequencing, quantitative trait locus mapping, statistical colocalization and enrichment testing, 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 contribute to 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 Epidemiology: Memorial Sloan Kettering Cancer Center

We seek a postdoctoral fellow in cancer epidemiology to join the team of Dr. Elizabeth Kantor in the Epidemiology Service. The fellow will dedicate substantial effort to a large, multi-disciplinary NCI-funded study of breast cancer, the Optimal Breast Cancer Chemotherapy Dosing (OBCD) Study, with a specific focus on toxicity and characterizing its impact on subsequent patient care. The fellow will have the opportunity to lead a breadth of research projects and will be an active member of cross-disciplinary research teams, publish peer-reviewed work, and gain experience in grant writing.

The ideal candidate will have:

• A doctoral degree in epidemiology or related quantitative discipline, including but not limited to biostatistics, public health, or health outcomes/pharmaceutical outcomes research.
• Enthusiasm and creativity for understanding cancer epidemiology, pharmacoepidemiology, and/or epidemiologic methods.
• Peer-reviewed publications in epidemiology or related quantitative field.
• Strong understanding of quantitative methods, study design, data analysis, and interpretation.
• Comfort working with large data sets and proficiency in a statistical programming language, including but not limited to R, Stata, or SAS.
• Strong verbal and written communication skills.

Please direct inquiries to [email protected] and [email protected]. Interested applicants should send a letter of interest, curriculum vitae, and contact information for three references to:

Elizabeth Kantor, PhD

Associate Attending Epidemiologist

[email protected]

&

Yasmeen Mustafa

Epidemiology Administrative Assistant

[email protected]

Post-Doctoral Fellowship in Cancer Genetics and Functional Genomics:
Memorial Sloan Kettering Cancer Center

We seek a postdoctoral fellow in cancer genetics and functional genomics to join an expanding, NIH-funded 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.