Research Fellow jobs at Memorial Sloan Kettering Cancer Center - 348 jobs

We are seeking a Ph.D. for a Postdoctoral Associate with at least 2 years of experience in cancer immunology and molecular genetics. Specifically, candidates will be expected to be experienced in, but not limited to, genetic engineering approaches, qRT-PCR, cytokine profiling, immunohistochemistry, immunofluorescence, 10+ color immunophenotyping, imaging techniques, and advanced in vitro models (i.e., 3D cultures, organoids). The ideal candidate should have knowledge of ex-vivo immunological assays that can assess activation and functional status of various cell populations within the tumor (or other pathologic) microenvironments. Understanding the immunomodulatory effects associated with an engineered immune and nano-based constructs that promote enhanced therapeutic responses is desirable. Familiarity with theranostic applications in oncology and experience with in vivo immunological procedures is required. The candidate will 1) profile molecular-genetic changes affecting diseased cell populations, as against normal cells, following exposure to immune and/or particle constructs, as well as 2) utilize these readouts to inform desirable in vivo studies and combinatorial treatment strategies. The prospective candidate will be exposed to a dynamic environment focused on product translation to the clinic and will gain invaluable experience across a wide variety of subjects by working closely with a collegial, highly motivated, multidisciplinary team including immunologists, oncologists, pathologists, chemists, and materials scientists. Interested candidates should email their CV and cover letter to ***********************. Diversity is one of Weill Cornell Medicine's core values and is essential to achieving excellence in research, education and patient care. We welcome applications from candidates who share our commitment to fostering a culture of fairness, equity, and belonging. Weill Cornell Medicine is an Equal Employment Opportunity Employer, providing equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information. Salary Range (annually): $66,200- $79,551 based on experience. Weill Cornell Medicine provides the above salary range in compliance with the New York City law on Salary Transparency in Job Advertisements. The above salary range for New York City based roles represents WCM's good faith and reasonable estimate of possible compensation at the time of posting. Industry Hospitals and Health Care Employment Type Full-time

We are seeking an experienced bioinformatician for the Tisch Cancer Center Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead transcriptomics and epigenetics data analysis projects in Cancer biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer Center and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of RAS mutations in the development of Leukemia utilizing single cell RNA- and ATAC-seq; understand the role of histone variants in cancer development utilizing enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are utilizing bulk and single cell, and spatial transcriptomics to understand breast cancer metastasis to bone. Finally, we are utilizing FIBER-seq (third generation PacBio long read sequencing), to better understand how chromatin remodelers shape the chromatin landscape. We are seeking a highly motivated senior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects and a team of bioinformaticians is a must. We feel that BiNGS presents a unique opportunity for senior bioinformaticians who seek to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; their ability to lead a small team of junior of bioinformaticians, and their involvement in reducing racial bias in science through mentorship of URM in Science. **Qualifications** + M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered. + 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets. + Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++. Preferred Skills + MSc or PhD in bioinformatics, computer Sciences or related fields. + Proven experience in analyzing bulk RNA- and ATAC-seq, sc RNA-seq, sc ATAC-seq, and sc Multiome. + Proven experience with Python, R and Linux. Additional experience with standard genomics tools for high-throughput sequencing data analysis (e.g. Bowtie2, Cellranger, Samtools, STAR, MACS2, Seurat, Signac, Cicero, Chromvar, Scenicplus and the UCSC genome browser). + Experience with markup languages such as HTML is preferred. + Proven ability to work on the AWS cloud. + Experience in bash HPC cluster environment with a parallel file system. + Proven ability to research, analyze, recommend, communicate, and implement solutions. + Good understanding of chromatin biology, and NGS technologies. + Must be able to work as an individual while part of a small team. **Responsibilities** + Execute computational analysis for bulk RNA- and ATAC-seq, sc RNA-seq, sc ATAC-seq, and sc Multiome. + Developing, tracking and reporting of ongoing projects including presentation of analysis progress in internal meetings and communications with PI to present results, interpret data and come up with new hypotheses. + Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. For example, correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on. + Provide analyses and visualization for presentations and publications. + Participate in the implementation of new software tools (e.g., MOFA and SNF) to process, analyze and visualize high-throughput multidimensional sequencing data. + The candidate will be required to identify the main requirements based on relevant questions, identifyavailable tools, implement and test. + PManage data and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. The candidate will execute all data analysis on HPC using bash and manage the storage and archiving of all NGS datasets on the MSSM HPC. + Further managing of our HTML reports will be done on Amazon cloud + Provide training to TCC investigators and trainees. **About Us** **Strength through Unity and Inclusion** The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. **About the Mount Sinai Health System:** Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. **Equal Opportunity Employer** The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. **Compensation Statement** Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65885 - $100000 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

We are seeking an experienced bioinformatician for the Tisch Cancer Center Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead transcriptomics and epigenetics data analysis projects in Cancer biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer Center and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of RAS mutations in the development of Leukemia utilizing single cell RNA- and ATAC-seq; understand the role of histone variants in cancer development utilizing enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are utilizing bulk and single cell, and spatial transcriptomics to understand breast cancer metastasis to bone. Finally, we are utilizing FIBER-seq (third generation PacBio long read sequencing), to better understand how chromatin remodelers shape the chromatin landscape. We are seeking a highly motivated senior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects and a team of bioinformaticians is a must. We feel that BiNGS presents a unique opportunity for senior bioinformaticians who seek to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; their ability to lead a small team of junior of bioinformaticians, and their involvement in reducing racial bias in science through mentorship of URM in Science. **Qualifications** + M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered. + 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets. + Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++. Preferred Skillset + MSc or PhD in bioinformatics, computer Sciences or related fields + Proven experience in analyzing bulk RNA- and ATAC-seq, sc RNA-seq, sc ATAC-seq, and sc Multiome + Proven experience with Python, R and Linux. Additional experience with standard genomics tools for high-throughput sequencing data analysis (e.g. Bowtie2, Cellranger, Samtools, STAR, MACS2, Seurat, Signac, Cicero, Chromvar, Scenicplus and the UCSC genome browser). + Experience with markup languages such as HTML is preferred. + Proven ability to work on the AWS cloud. + Experience in bash HPC cluster environment with a parallel file system. + Proven ability to research, analyze, recommend, communicate, and implement solutions. + Good understanding of chromatin biology, and NGS technologies + Must be able to work as an individual while part of a small team. Non-Bargaining Unit, 824 - Oncological Sciences - ISM, Icahn School of Medicine **Responsibilities** + Execute computational analysis for bulk RNA- and ATAC-seq, sc RNA-seq, sc ATAC-seq, and sc Multiome. + Developing, tracking and reporting of ongoing projects including presentation of analysis progress in internal meetings and communications with PI to present results, interpret data and come up with new hypotheses. + Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. For example, correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on. + Provide analyses and visualization for presentations and publications. + Participate in the implementation of new software tools (e.g., MOFA and SNF) to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements based on relevant questions, identify available tools, implement and test. + Manage data and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. The candidate will execute all data analysis on HPC using bash and manage the storage and archiving of all NGS datasets on the MSSM HPC. Further managing of our HTML reports will be done on Amazon cloud + Provide training to TCC investigators and trainees. **About Us** **Strength through Unity and Inclusion** The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. **About the Mount Sinai Health System:** Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. **Equal Opportunity Employer** The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. **Compensation Statement** Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65885 - $100000 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

The Center for Disease Neurogenomics (CDN) at the Icahn School of Medicine at Mount Sinai is seeking a proactive and detail-oriented Bioinformatician II to join a multidisciplinary team supporting the analysis, infrastructure, and data stewardship of large-scale functional genomics datasets. This position is intended for candidates with practical experience managing omics data, maintaining computational infrastructure, and developing efficient solutions to support high-throughput data processing and secure storage. **Qualifications** + M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered. + 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets.; with ≥3 years of experience preferred + Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++. + Proficiency in Python and R; working knowledge of SQL and Linux shell scripting. + Experience processing large-scale omics data (RNA-seq, ATAC-seq, or WGS). + Experience using or developing Nextflow or Snakemake-based pipelines is a strong plus. + Strong problem-solving skills, ability to prioritize, and attention to reproducibility and data integrity. + Preferred Qualifications: + Demonstrated experience maintaining or developing data tracking systems or LIMS solutions. + Familiarity with HPC environments and workload managers (e.g., LSF, SLURM). + Experience with cloud-based genomics analysis platforms such as CAVATICA, Verily Workbench, Google Cloud Platform (GCP), Amazon Web Services (AWS), or comparable environments. + Experience with data privacy standards and compliance in biomedical datasets. **Responsibilities** + Assist in the preprocessing, demultiplexing, and quality control of single-cell and bulk sequencing data across multiple assays (RNA-seq, ATAC-seq, multiome). + Implement and maintain metadata infrastructure for tracking donor/sample provenance and cohort selection across projects using a relational database backend. + Monitor and maintain local high-performance computing resources, including scripting of automated usage summaries, quota alerts, and issue tracking. + Support data transfers, pipeline execution, and user coordination in hybrid cloud environments (e.g., CAVATICA, GCP). + Write and maintain robust, well-documented code (e.g., Snakemake, bash, R, Python) for processing and managing large-scale datasets. + Respond to infrastructure incidents (e.g., disk quota overflows, data loss risks) and proactively implement safeguards. + Contribute to documentation and training materials to enable team-wide system usage. + Other related duties as assigned. **About Us** **Strength through Unity and Inclusion** The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. **About the Mount Sinai Health System:** Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. **Equal Opportunity Employer** The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. **Compensation Statement** Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65885 - $100000 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

We are seeking an experienced bioinformatician for the Tisch Cancer Center Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead transcriptomics and epigenetics data analysis projects in Cancer biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer Center and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of RAS mutations in the development of Leukemia utilizing single cell RNA- and ATAC-seq; understand the role of histone variants in cancer development utilizing enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are utilizing bulk and single cell, and spatial transcriptomics to understand breast cancer metastasis to bone. Finally, we are utilizing FIBER-seq (third generation PacBio long read sequencing), to better understand how chromatin remodelers shape the chromatin landscape. We are seeking a highly motivated senior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects and a team of bioinformaticians is a must. We feel that BiNGS presents a unique opportunity for senior bioinformaticians who seek to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; their ability to lead a small team of junior of bioinformaticians, and their involvement in reducing racial bias in science through mentorship of URM in Science. M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered. 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets. Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++. Preferred Skillset MSc or PhD in bioinformatics, computer Sciences or related fields Proven experience in analyzing bulk RNA- and ATAC-seq, sc RNA-seq, sc ATAC-seq, and sc Multiome Proven experience with Python, R and Linux. Additional experience with standard genomics tools for high-throughput sequencing data analysis (e.g. Bowtie2, Cellranger, Samtools, STAR, MACS2, Seurat, Signac, Cicero, Chromvar, Scenicplus and the UCSC genome browser). Experience with markup languages such as HTML is preferred. Proven ability to work on the AWS cloud. Experience in bash HPC cluster environment with a parallel file system. Proven ability to research, analyze, recommend, communicate, and implement solutions. Good understanding of chromatin biology, and NGS technologies Must be able to work as an individual while part of a small team. Non-Bargaining Unit, 824 - Oncological Sciences - ISM, Icahn School of Medicine Execute computational analysis for bulk RNA- and ATAC-seq, sc RNA-seq, sc ATAC-seq, and sc Multiome. Developing, tracking and reporting of ongoing projects including presentation of analysis progress in internal meetings and communications with PI to present results, interpret data and come up with new hypotheses. Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. For example, correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on. Provide analyses and visualization for presentations and publications. Participate in the implementation of new software tools (e.g., MOFA and SNF) to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements based on relevant questions, identify available tools, implement and test. Manage data and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. The candidate will execute all data analysis on HPC using bash and manage the storage and archiving of all NGS datasets on the MSSM HPC. Further managing of our HTML reports will be done on Amazon cloud Provide training to TCC investigators and trainees.

We are seeking an experienced bioinformatician for the Tisch Cancer Center Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead transcriptomics and epigenetics data analysis projects in Cancer biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer Center and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of RAS mutations in the development of Leukemia utilizing single cell RNA- and ATAC-seq; understand the role of histone variants in cancer development utilizing enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are utilizing bulk and single cell, and spatial transcriptomics to understand breast cancer metastasis to bone. Finally, we are utilizing FIBER-seq (third generation PacBio long read sequencing), to better understand how chromatin remodelers shape the chromatin landscape. We are seeking a highly motivated senior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects and a team of bioinformaticians is a must. We feel that BiNGS presents a unique opportunity for senior bioinformaticians who seek to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; their ability to lead a small team of junior of bioinformaticians, and their involvement in reducing racial bias in science through mentorship of URM in Science. M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered. 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets. Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++. Preferred Skills MSc or PhD in bioinformatics, computer Sciences or related fields. Proven experience in analyzing bulk RNA- and ATAC-seq, sc RNA-seq, sc ATAC-seq, and sc Multiome. Proven experience with Python, R and Linux. Additional experience with standard genomics tools for high-throughput sequencing data analysis (e.g. Bowtie2, Cellranger, Samtools, STAR, MACS2, Seurat, Signac, Cicero, Chromvar, Scenicplus and the UCSC genome browser). Experience with markup languages such as HTML is preferred. Proven ability to work on the AWS cloud. Experience in bash HPC cluster environment with a parallel file system. Proven ability to research, analyze, recommend, communicate, and implement solutions. Good understanding of chromatin biology, and NGS technologies. Must be able to work as an individual while part of a small team. Execute computational analysis for bulk RNA- and ATAC-seq, sc RNA-seq, sc ATAC-seq, and sc Multiome. Developing, tracking and reporting of ongoing projects including presentation of analysis progress in internal meetings and communications with PI to present results, interpret data and come up with new hypotheses. Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. For example, correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on. Provide analyses and visualization for presentations and publications. Participate in the implementation of new software tools (e.g., MOFA and SNF) to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements based on relevant questions, identify available tools, implement and test. PManage data and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. The candidate will execute all data analysis on HPC using bash and manage the storage and archiving of all NGS datasets on the MSSM HPC. Further managing of our HTML reports will be done on Amazon cloud Provide training to TCC investigators and trainees.

The Bioinformatician II partners with researchers/biologists from the Mount Sinai Department of Genetics and Genomic Sciences on innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and bioinformatic approaches to human disease. S/he leads a variety of projects and gains exposure to many productive areas of research, and develops/supports multiple research projects by delivering bioinformatics services for bio-medical data from cutting-edge genomic technologies. This incumbent performs the role of database developer for Varimpact, building a comprehensive impact database of genetic variants through text mining. This database consists of genetic variants with gene, protein, pathway, cellular, drug level functional impact and is a tool to search and highlight genetic variants, drugs and diseases in 30 million abstracts and 3 million full texts. M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered. 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets. Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++. Develops and may perform a lead role for a variety of bioinformatics analysis projects, including development of Varimpact, an impact database of generic variants. Writes custom scripts for analysis of genomic data derived from high-throughput techniques. Manages databases, conducts statistical and genomic analysis, and participates in the preparation of manuscripts and presentations. Collaborates with wet-bench biologists and works independently to analyze data derived from several types of projects using microarrays and high-throughput sequencing. Conducts analysis of microarray and high-throughput sequencing data, genome sequence analysis, experimental design and statistical analysis. Performs quality control and analysis. Other related duties as assigned.

The Center for Disease Neurogenomics (CDN) at the Icahn School of Medicine at Mount Sinai is seeking a proactive and detail-oriented Bioinformatician II to join a multidisciplinary team supporting the analysis, infrastructure, and data stewardship of large-scale functional genomics datasets. This position is intended for candidates with practical experience managing omics data, maintaining computational infrastructure, and developing efficient solutions to support high-throughput data processing and secure storage. M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered. 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets.; with ≥3 years of experience preferred Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++. Proficiency in Python and R; working knowledge of SQL and Linux shell scripting. Experience processing large-scale omics data (RNA-seq, ATAC-seq, or WGS). Experience using or developing Nextflow or Snakemake-based pipelines is a strong plus. Strong problem-solving skills, ability to prioritize, and attention to reproducibility and data integrity. Preferred Qualifications: Demonstrated experience maintaining or developing data tracking systems or LIMS solutions. Familiarity with HPC environments and workload managers (e.g., LSF, SLURM). Experience with cloud-based genomics analysis platforms such as CAVATICA, Verily Workbench, Google Cloud Platform (GCP), Amazon Web Services (AWS), or comparable environments. Experience with data privacy standards and compliance in biomedical datasets. Assist in the preprocessing, demultiplexing, and quality control of single-cell and bulk sequencing data across multiple assays (RNA-seq, ATAC-seq, multiome). Implement and maintain metadata infrastructure for tracking donor/sample provenance and cohort selection across projects using a relational database backend. Monitor and maintain local high-performance computing resources, including scripting of automated usage summaries, quota alerts, and issue tracking. Support data transfers, pipeline execution, and user coordination in hybrid cloud environments (e.g., CAVATICA, GCP). Write and maintain robust, well-documented code (e.g., Snakemake, bash, R, Python) for processing and managing large-scale datasets. Respond to infrastructure incidents (e.g., disk quota overflows, data loss risks) and proactively implement safeguards. Contribute to documentation and training materials to enable team-wide system usage. Other related duties as assigned.

**Geneticist** **Joseph M. Sanzari Children's Hospital** **Hackensack University Medical Center** **Hackensack, New Jersey** Hackensack Meridian _Health_ (HMH) is seeking board certified / board eligible geneticists to join our multidisciplinary team in Hackensack, New Jersey, at the Joseph M. Sanzari Children's Hospital, ranked the #1 Children's Hospital in New Jersey. Our program is one of the largest and most advanced of its kind in the state. Our team of board certified geneticists and licensed genetic counselors sees patients of all ages, providing support and education throughout multiple HMH network hospitals. HMH serves as a referral screening center for the NJ newborn screening program and offers a comprehensive metabolic program. **HIGHLIGHTS:** + Join a dynamic network of experienced physicians, genetic counselors, dietitian, and support staff who foster a culture of collaboration and mentorship with strong clinical support + Collaborate with a network of specialists throughout the state of New Jersey + Be part of the #1 Children's Hospital in New Jersey + Eligibility for faculty appointment to the Hackensack Meridian School of Medicine + Opportunity to conduct clinical research + Monday through Friday, schedule, with call split evenly across providers **REQUIREMENTS:** + M.D./D.O. degree from a recognized Medical or Osteopathic School + BC/BE in appropriate specialty board + Have or the ability to obtain a New Jersey Medical License **Submit Cover Letter and CV for immediate consideration to:** Nancy Massa Physician Recruiter **Email** : ******************** **Phone** : ************ 130671 Minimum starting salary $172,301 Annually HMH is committed to pay equity and transparency for our team members. The posted rate of pay in this job posting is a reasonable good faith estimate of the minimum base pay for this role at the time of posting in accordance with the New Jersey Pay Transparency Act and does not reflect the full value of our market-competitive total rewards package. The starting base salary is provided for informational purposes only and is not a guarantee of a specific offer. The base compensation determined at the time of the offer may be different than the posted base salary based on a number of non-discriminatory factors, including but not limited to: + Specialization: Area of specialization and sub-specialization. + Labor Market Data: Compensation is benchmarked against market data to ensure competitiveness. + Experience: Years of relevant experience in the areas of specialization and sub-specialization. + Leadership: Relevant experience as a department chair or chief, practice group leader, or other leadership roles. + Education and Certifications: Degrees attained, residencies, fellowships, board certifications, research, and publications. + Productivity: Levels of productivity, quality and patient satisfaction. + Skills: Demonstrated proficiency in relevant skills and competencies. + Geographic Location: Cost of living and market rates for the specific location. + Internal Equity: Compensation is determined in a manner consistent with compensation ranges for similar roles within the specialty and/or sub-specialty. + Budget and Grant Funding: Departmental budgets and any grant funding associated with the job position may impact the pay that can be offered. In addition to our compensation for full-time and part-time (20+ hours/week) positions, HMH offers a comprehensive benefits package, including health, dental, vision, tuition reimbursement, and retirement benefits. The final compensation and benefits package will be discussed during the interview process. HACKENSACK MERIDIAN HEALTH (HMH) IS AN EQUAL OPPORTUNITY EMPLOYER All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, breastfeeding, genetic information, refusal to submit to a genetic test or make available to an employer the results of a genetic test, atypical hereditary cellular or blood trait, national origin, nationality, ancestry, disability, marital status, liability for military service, or status as a protected veteran.

Geneticist Joseph M. Sanzari Children's Hospital Hackensack University Medical Center Hackensack, New Jersey Hackensack Meridian Health (HMH) is seeking board certified / board eligible geneticists to join our multidisciplinary team in Hackensack, New Jersey, at the Joseph M. Sanzari Children's Hospital, ranked the #1 Children's Hospital in New Jersey. Our program is one of the largest and most advanced of its kind in the state. Our team of board certified geneticists and licensed genetic counselors sees patients of all ages, providing support and education throughout multiple HMH network hospitals. HMH serves as a referral screening center for the NJ newborn screening program and offers a comprehensive metabolic program. HIGHLIGHTS: * Join a dynamic network of experienced physicians, genetic counselors, dietitian, and support staff who foster a culture of collaboration and mentorship with strong clinical support * Collaborate with a network of specialists throughout the state of New Jersey * Be part of the #1 Children's Hospital in New Jersey * Eligibility for faculty appointment to the Hackensack Meridian School of Medicine * Opportunity to conduct clinical research * Monday through Friday, schedule, with call split evenly across providers REQUIREMENTS: * M.D./D.O. degree from a recognized Medical or Osteopathic School * BC/BE in appropriate specialty board * Have or the ability to obtain a New Jersey Medical License Submit Cover Letter and CV for immediate consideration to: Nancy Massa Physician Recruiter Email: ******************** Phone: ************ Compensation Minimum starting salary $172,301 Annually HMH is committed to pay equity and transparency for our team members. The posted rate of pay in this job posting is a reasonable good faith estimate of the minimum base pay for this role at the time of posting in accordance with the New Jersey Pay Transparency Act and does not reflect the full value of our market-competitive total rewards package. The starting base salary is provided for informational purposes only and is not a guarantee of a specific offer. The base compensation determined at the time of the offer may be different than the posted base salary based on a number of non-discriminatory factors, including but not limited to: * Specialization: Area of specialization and sub-specialization. * Labor Market Data: Compensation is benchmarked against market data to ensure competitiveness. * Experience: Years of relevant experience in the areas of specialization and sub-specialization. * Leadership: Relevant experience as a department chair or chief, practice group leader, or other leadership roles. * Education and Certifications: Degrees attained, residencies, fellowships, board certifications, research, and publications. * Productivity: Levels of productivity, quality and patient satisfaction. * Skills: Demonstrated proficiency in relevant skills and competencies. * Geographic Location: Cost of living and market rates for the specific location. * Internal Equity: Compensation is determined in a manner consistent with compensation ranges for similar roles within the specialty and/or sub-specialty. * Budget and Grant Funding: Departmental budgets and any grant funding associated with the job position may impact the pay that can be offered. In addition to our compensation for full-time and part-time (20+ hours/week) positions, HMH offers a comprehensive benefits package, including health, dental, vision, tuition reimbursement, and retirement benefits. The final compensation and benefits package will be discussed during the interview process. HACKENSACK MERIDIAN HEALTH (HMH) IS AN EQUAL OPPORTUNITY EMPLOYER All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, breastfeeding, genetic information, refusal to submit to a genetic test or make available to an employer the results of a genetic test, atypical hereditary cellular or blood trait, national origin, nationality, ancestry, disability, marital status, liability for military service, or status as a protected veteran. Our Network Hackensack Meridian Health (HMH) is a Mandatory Influenza Vaccination Facility As a courtesy to assist you in your job search, we would like to send your resume to other areas of our Hackensack Meridian Health network who may have current openings that fit your skills and experience. Apply Save Job saved

About Us We're Maimonides Health, Brooklyn's largest healthcare system, serving over 250,000 patients each year through the system's 3 hospitals, 1800 physicians and healthcare professionals, more than 80 community-based practices and outpatient centers. At Maimonides Health, our core values H.E.A.R.T drives everything we do. We uphold and maintain Honesty, Empathy, Accountability, Respect, and Teamwork to empower our talented team, engage our respective communities and adhere to Planetree's philosophy of patient-centered care. The system is anchored by Maimonides Medical Center, one of the nation's largest independent teaching hospitals and home to centers of excellence in numerous specialties; Maimonides Midwood Community Hospital (formerly New York Community Hospital), a 130-bed adult medical-surgical hospital; and Maimonides Children's Hospital, Brooklyn's only children's hospital and only pediatric trauma center. Maimonides' clincal progams rank among the best in the country for patient outcomes, including its Heart and Vascular Institute, Neuroscience Institute, Boneand Joint Center, and Cancer Center. Maimonides is an affiliate of Northwell Health and a major clinical training site for SUNY Downstate College of Medicine. Overview Plans, supervises and performs research relating to paraphysiological changes in the heart and skeletal muscles in consultation with the Research Director Responsibilities * Prepares experimental findings for publication and presentation at conferences and for grant proposals. * Teaches research personnel how to utilize the specialized electrophysiological equipment and computer software packages; provides clinical supervision for Research Assistant, Research Technician and Research Fellow. * Performs in vivo monitoring of various systems in rats. * Performs microdissections to isolate nerve muscle biopsies and hearts from rats. * Utilizes the in vitro EMG chamber and monitors nerve action potential, muscle action potential and other responses to nerve and/or muscle stimulation in rats during fatigue and drug exposure. * Prepares frozen sections of skeletal muscles and measures changes in amplitude and time course of the responses of heart and skeletal muscle using a specialized software package. * Performs all statistical analysis of data using Sigmastat package and generates graphs representing numerical changes in the responses. * Maintains established departmental policies and procedures, objectives, quality assurance program, safety, environmental, and infection control standards. * Checks that equipment is functioning properly; reports any problems or malfunctions to Director. Qualifications Education: Medical Degree or PhD in Biology with specialty field in Physiology. Experience: 3-5 years of experience in electrophysiological studies on function of heart and skeletal muscles. Skills: Good oral and written communication skills. Skilled in the microdissections of tissue. Skilled in operation of computers and electrophysiological equipment. Knowledge of research grant preparation. Broad knowledge of scientific principles, biological structures and laboratory techniques. Pay Range USD $57,500.00 - USD $57,500.00 /Yr. Equal Employment Opportunity Employer Maimonides Medical Center (MMC) is an equal opportunity employer.

Applications to be submitted by January 27, 2026 Compensation Grade: P22 Compensation Details: Minimum: $81,696. 00 - Maximum: $81,696. 00 Annually Positions with a designated work location in New York City, Nassau, Rockland, Suffolk, or Westchester Counties will receive a $4,000 annual downstate adjustment (pro-rated for part-time positions). Department (OPH) CCH - Division of Chronic Disease Prevention - Bureau of Cancer Epidemiology Job Description: Responsibilities Health Research, Inc. is seeking a Research Scientist II to work as part of the Bureau of Cancer Epidemiology's analysis and output unit. The incumbent will be responsible for data analysis using New York State Cancer Registry (NYSCR) data and linked data sources to improve understanding of cancer patterns in NYS. The incumbent will participate in research and evaluation projects using NYSCR data, including the design, analysis, interpretation, and presentation of findings. Research and evaluation projects will address multiple aspects of cancer epidemiology including incidence, stage at diagnosis, treatment, survival, and mortality. The incumbent will also interact with external researchers to provide guidance regarding use of NYSCR data for research and to collaborate on approved projects. Specific tasks will include conducting data linkages, contributing to quality improvement activities including machine learning projects, contributing to annual calls-for-data and other deliverables, and contributing to internal and external research and evaluation projects. Other appropriate related duties as assigned. Minimum Qualifications Bachelor's degree in Public Health, Epidemiology, Data Science, Biostatistics, or a related field and three years of research experience; OR a Master's degree in a related field and two years of research experience; or a Doctorate in a related field. Preferred Qualifications Master's degree in Public Health or a related field. Proficiency in data analysis and interpretation of analysis results. Proficiency using statistical programming and database software such as SAS, R, and SQL. Experience analyzing large public health data files. Experience in cancer surveillance and knowledge of cancer registry standards and operations. Familiarity and experience with machine learning and natural language processing algorithms. Demonstrated excellent oral and written communication skills. Conditions of Employment Grant funded position. Compliance with funding requirements such as time and effort reporting, grant deliverables, and contract deliverables, is required. Visa sponsorship may be available for this position, in accordance with applicable federal requirements. The selected candidate must reside within a reasonable commuting distance of the official work location specified in the job posting and must also be located in or willing to relocate to one of the following states: New York, New Jersey, Connecticut, Vermont, or Massachusetts, prior to hire. This position is eligible for a hybrid work schedule, with a combination of onsite and remote work. HRI participates in the E-Verify Program. Affirmative Action/Equal Opportunity Employer/Qualified Individuals with Disabilities/Qualified Protected Veterans www. healthresearch. org About Health Research, Inc. Join us in our mission to make a difference in public health and advance scientific research! At Health Research, Inc. (HRI), your work will contribute to meaningful change and innovation in the communities we serve! At HRI, we are on a mission to transform the health and well-being of the people of New York State through innovative partnerships and cutting-edge public health initiatives. As a dynamic non-profit organization, HRI plays a crucial role in advancing the strategic goals of the New York State Department of Health (DOH), Roswell Park Comprehensive Cancer Center (RPCCC), and other health-related entities. HRI offers a robust, comprehensive benefits package to eligible employees, including: Health, dental and vision insurance - Several comprehensive health insurance plans to choose from; Flexible benefit accounts - Medical, dependent care, adoption assistance, parking and transit; Generous paid time off - Paid federal and state holidays, paid sick, vacation and personal leave; Tuition support - Assistance is available for individuals pursuing educational or training opportunities; Retirement Benefits - HRI is a participating employer in the New York State and Local Retirement System and offers optional enrollment in the New York State Deferred Compensation Plan. HRI provides a postretirement Health Benefits Plan for qualified retirees to use towards health insurance premiums and eligible medical expenses; Employee Assistance Program - Provides educational and wellness programs, training, and 24/7 confidential services to assist employees, both personally and professionally; And so much more! As the Executive Director of Health Research, Inc. (HRI), I would like to welcome you to HRI's career page. HRI's mission is to build a healthier future for New York State and beyond through the delivery of funding and program support to further public health and research programs in support of the New York State Department of Health, Roswell Park Comprehensive Cancer Center and other entities. This achievement is made possible through the recruitment of highly talented and qualified individuals. As an Equal Opportunity and Affirmative Action employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability, protected veteran status, or any other characteristic protected by law. HRI is committed to fostering an environment that encourages collaboration, innovation, and mutual respect and we strive to ensure every individual feels welcomed and appreciated. We invite you to explore and apply for any open positions that align with your interests. --- If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting HRI Human Resources at hrihr@healthresearch. org or **************.

Applications to be submitted by January 27, 2026 Compensation Grade: P22 Compensation Details: Minimum: $81,696.00 - Maximum: $81,696.00 Annually Positions with a designated work location in New York City, Nassau, Rockland, Suffolk, or Westchester Counties will receive a $4,000 annual downstate adjustment (pro-rated for part-time positions). Department (OPH) CCH - Division of Chronic Disease Prevention - Bureau of Cancer Epidemiology Job Description: Responsibilities Health Research, Inc. is seeking a Research Scientist II to work as part of the Bureau of Cancer Epidemiology's analysis and output unit. The incumbent will be responsible for data analysis using New York State Cancer Registry (NYSCR) data and linked data sources to improve understanding of cancer patterns in NYS. The incumbent will participate in research and evaluation projects using NYSCR data, including the design, analysis, interpretation, and presentation of findings. Research and evaluation projects will address multiple aspects of cancer epidemiology including incidence, stage at diagnosis, treatment, survival, and mortality. The incumbent will also interact with external researchers to provide guidance regarding use of NYSCR data for research and to collaborate on approved projects. Specific tasks will include conducting data linkages, contributing to quality improvement activities including machine learning projects, contributing to annual calls-for-data and other deliverables, and contributing to internal and external research and evaluation projects. Other appropriate related duties as assigned. Minimum Qualifications Bachelor's degree in Public Health, Epidemiology, Data Science, Biostatistics, or a related field and three years of research experience; OR a Master's degree in a related field and two years of research experience; or a Doctorate in a related field. Preferred Qualifications Master's degree in Public Health or a related field. Proficiency in data analysis and interpretation of analysis results. Proficiency using statistical programming and database software such as SAS, R, and SQL. Experience analyzing large public health data files. Experience in cancer surveillance and knowledge of cancer registry standards and operations. Familiarity and experience with machine learning and natural language processing algorithms. Demonstrated excellent oral and written communication skills. Conditions of Employment Grant funded position. Compliance with funding requirements such as time and effort reporting, grant deliverables, and contract deliverables, is required. Visa sponsorship may be available for this position, in accordance with applicable federal requirements. The selected candidate must reside within a reasonable commuting distance of the official work location specified in the job posting and must also be located in or willing to relocate to one of the following states: New York, New Jersey, Connecticut, Vermont, or Massachusetts, prior to hire. This position is eligible for a hybrid work schedule, with a combination of onsite and remote work. HRI participates in the E-Verify Program. Affirmative Action/Equal Opportunity Employer/Qualified Individuals with Disabilities/Qualified Protected Veterans ********************** About Health Research, Inc. Join us in our mission to make a difference in public health and advance scientific research! At Health Research, Inc. (HRI), your work will contribute to meaningful change and innovation in the communities we serve! At HRI, we are on a mission to transform the health and well-being of the people of New York State through innovative partnerships and cutting-edge public health initiatives. As a dynamic non-profit organization, HRI plays a crucial role in advancing the strategic goals of the New York State Department of Health (DOH), Roswell Park Comprehensive Cancer Center (RPCCC), and other health-related entities. HRI offers a robust, comprehensive benefits package to eligible employees, including: Health, dental and vision insurance - Several comprehensive health insurance plans to choose from; Flexible benefit accounts - Medical, dependent care, adoption assistance, parking and transit; Generous paid time off - Paid federal and state holidays, paid sick, vacation and personal leave; Tuition support - Assistance is available for individuals pursuing educational or training opportunities; Retirement Benefits - HRI is a participating employer in the New York State and Local Retirement System and offers optional enrollment in the New York State Deferred Compensation Plan. HRI provides a postretirement Health Benefits Plan for qualified retirees to use towards health insurance premiums and eligible medical expenses; Employee Assistance Program - Provides educational and wellness programs, training, and 24/7 confidential services to assist employees, both personally and professionally; And so much more!

Hackensack Meridian Health (HMH) is seeking board certified / board eligible geneticists to join our multidisciplinary team in Hackensack, New Jersey, at the Joseph M. Sanzari Children's Hospital, ranked the #1 Children's Hospital in New Jersey. Our program is one of the largest and most advanced of its kind in the state. Our team of board certified geneticists and licensed genetic counselors sees patients of all ages, providing support and education throughout multiple HMH network hospitals. HMH serves as a referral screening center for the NJ newborn screening program and offers a comprehensive metabolic program. HIGHLIGHTS: Join a dynamic network of experienced physicians, genetic counselors, dietitian, and support staff who foster a culture of collaboration and mentorship with strong clinical support Collaborate with a network of specialists throughout the state of New Jersey Be part of the #1 Children's Hospital in New Jersey Eligibility for faculty appointment to the Hackensack Meridian School of Medicine Opportunity to conduct clinical research Monday through Friday, schedule, with call split evenly across providers Qualifications M.D./D.O. degree from a recognized Medical or Osteopathic School BC/BE in appropriate specialty board Have or the ability to obtain a New Jersey Medical License Starting Minimum Rate HMH is committed to pay equity and transparency for our team members. The minimum base salary for this position is $196,977. The posted rate of pay in this job posting is a reasonable good-faith estimate of the minimum base pay for this role at the time of posting in accordance with the New Jersey Pay Transparency Act and does not reflect the full value of our market-competitive total rewards package. Job Posting Disclosure The starting base salary is provided for informational purposes only and is not a guarantee of a specific offer. The base compensation determined at the time of the offer may be different than the posted base salary based on a number of non-discriminatory factors, including but not limited to: Specialization: Area of specialization and sub-specialization. Labor Market Data: Compensation is benchmarked against market data to ensure competitiveness. Experience: Years of relevant experience in the areas of specialization and sub-specialization. Leadership: Relevant experience as a department chair or chief, practice group leader, or other leadership roles. Education and Certifications: Degrees attained, residencies, fellowships, board certifications, research, and publications. Productivity: Levels of productivity, quality and patient satisfaction. Skills: Demonstrated proficiency in relevant skills and competencies. Geographic Location: Cost of living and market rates for the specific location. Internal Equity: Compensation is determined in a manner consistent with compensation ranges for similar roles within the specialty and/or sub-specialty. Budget and Grant Funding: Departmental budgets and any grant funding associated with the job position may impact the pay that can be offered. In addition to our compensation for full-time and part-time (20+ hours/week) positions, HMH offers a comprehensive benefits package, including health, dental, vision, tuition reimbursement, and retirement benefits. The final compensation and benefits package will be discussed during the interview process.

From the very beginning, we have been focusing on the science. We came together as a team of experts, committed to quality, driven by excellence, and dedicated to experimentation. Though we faced many challenges, we remained fearless in our research and rigorous in our thinking, pushing ourselves to work harder. However, what affected us the most was the enormous burden patient's bear and the difficulties they face, which drove us to think about what's next. We believe it is time to accelerate and expand that transformation. At Legend Biotech, we are excited to bring clinical trials to patients in our pursuit of a cure. While we are focusing on CAR-T in multiple myeloma, we firmly believe the prospects of cellular therapy stretch beyond just one disease or indication. The spark of hope is lit. At Legend Biotech, we are using that hope to ignite the future of CAR-T cell therapy. Role Overview: Legend Biotech is a clinical stage biopharmaceutical company focused on the discovery and development of novel cell therapies for oncology, immunology and infectious disease indications. We are currently seeking a talented and motivated candidate to join the R&D cell biology and immunology lab at US site. The successful candidate will contribute to the company's efforts to develop next-generation cell therapies in solid tumor malignancies. The successful candidate will have a strong Molecular biology/Cell biology and Immunology background, and expect to work in a collaborative cross-functional team environment, perform experiments, organize and analyze results, communicate effectively and present findings in team meetings. Major Responsibilities: Assist in developing T cell therapy platform, perform cell-based immunoassays, including ex-vivio antigen specific T cell isolation and expansion, Viral-vector based introduction of TCRs / CARs into human T cells, multi-color flow cytometry, ELISA, ELISPOT assays Culture and characterize genetically modified human T cells and tumor cells including gene expression and cell functionalities testing Plan and execute in vitro functional assays with T cells according to project goals and timelines. Effectively communicate plans and results in both oral and written form. Ability to work in a highly dynamic collaborative team environment. Other duties as assigned Qualifications Education: B.S or M.S. in biomedical science field or cell biology and immunology Experience: > 5 year with B.S. or 2-5 year with M.S. Industry/academic experience in Immunology/Cell Biology, preferably Immunotherapy. Key Capabilities, Knowledge, and Skills: Experience with multi-color flow cytometry and data analysis (FACSDiva, FlowJo) required. Experience with primary T cell-based assays preferred. Excellent mammalian cell/tissue culture and sterile technique required. Strong organizational skills and record keeping. Self-motivated and willing to accept temporary responsibilities outside of initial job description. Comfortable in a fast-paced environment and able to adjust workload based upon changing priorities. Excellent interpersonal, verbal and written communication skills are essential in this collaborative work environment. Additional Information Legend Biotech USA Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. Legend Biotech USA Inc. maintains a drug-free workplace.

From the very beginning, we have been focusing on the science. We came together as a team of experts, committed to quality, driven by excellence, and dedicated to experimentation. Though we faced many challenges, we remained fearless in our research and rigorous in our thinking, pushing ourselves to work harder. However, what affected us the most was the enormous burden patient's bear and the difficulties they face, which drove us to think about what's next. We believe it is time to accelerate and expand that transformation. At Legend Biotech, we are excited to bring clinical trials to patients in our pursuit of a cure. While we are focusing on CAR-T in multiple myeloma, we firmly believe the prospects of cellular therapy stretch beyond just one disease or indication. The spark of hope is lit. At Legend Biotech, we are using that hope to ignite the future of CAR-T cell therapy. Job Description Role Overview: Legend Biotech is a clinical stage biopharmaceutical company focused on the discovery and development of novel cell therapies for oncology, immunology and infectious disease indications. We are currently seeking a talented and motivated candidate to join the R&D cell biology and immunology lab at US site. The successful candidate will contribute to the company's efforts to develop next-generation cell therapies in solid tumor malignancies. The successful candidate will have cell biology and immunology background, and expect to work in a collaborative cross-functional team environment, perform experiments, organize and analyze results, communicate effectively to support R & D teams. Major Responsibilities: Prepare cell banks of all the cell lines for R&D department usages Maintain biological reagents inventory stocks for R&D research. Maintain all laboratory instrument records. Comply with the correct procedures, policies, and health and safety regulations. Conduct laboratory tests, analyze results, and document your findings. Stay informed with the latest industry trends, techniques, and best practices. Document all activities, results and report to management as needed. Classify and label samples. Must also work well as a member of a collaborative team, be highly organized, have attention to detail and excellent time-management skills. Other duties assigned Qualifications Education: B.S. in bioscience field or cell biology and immunology Experience: · 0-2 year with B.S. Industry/academic experience in Cell Biology Key Capabilities, Knowledge, and Skills: Prior experience with cell culture and sterile technique Knowledge of cell biology and immunology Knowledge of lab procedures and understand the importance of maintaining a clean workspace by following all lab regulations for health and safety Flexibility to work on another lab support tasks Additional Information Legend Biotech USA Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. Legend Biotech USA Inc. maintains a drug-free workplace.

Department/Unit: Neuroscience & Experimental Therapeutic Work Shift: Day (United States of America) Salary Range: $0.00 - $0.00 The Myelin Lab at Albany Medical College, co-led by Drs. Sophie Belin and Yannick Poitelon, is seeking a Postdoctoral Research Fellow to join an NIH-funded project investigating how PMP2, a fatty-acid chaperone, regulates Schwann cell metabolism and the formation and maintenance of peripheral nerve myelin. The work integrates molecular biology, lipid analysis, imaging, and animal models to understand mechanisms underlying peripheral neuropathies. Albany Medical College offers a focused and highly collaborative biomedical research environment where postdocs work closely with an engaged and approachable faculty. Postdoctoral fellows also receive robust institutional support through programs such as the Postdoctoral Development Program, which enhances training, career development, and community building both within AMC and across the Capital Region. This support is paired with streamlined access to advanced imaging, histology, and bioinformatics cores, ensuring postdocs have the tools they need to excel. The Myelin Lab, jointly led by Dr. Yannick Poitelon and Dr. Sophie Belin, provides a supportive dual-PI mentoring environment with expertise in Schwann cell biology, myelination, nerve development, and regeneration. The lab emphasizes rigorous training, hands-on guidance, and scientific independence, supported by active NIH funding and a dynamic research portfolio. In addition to their main projects, postdocs benefit from opportunities for co-first authorships, strong publication potential, grant-writing support, and individualized career development. Situated in an affordable, livable, and well-connected region, AMC provides an ideal setting to launch a scientific career, combining high-quality mentorship, cutting-edge resources, and a supportive community. Key responsibilities Postdoctoral fellows in the Myelin Lab perform molecular and cell biology techniques, conduct imaging and quantitative analysis of myelin, and work with animal models. They analyze data, prepare figures, and contribute to manuscripts, while also presenting their research at local, national, and international conferences. Fellows participate in the preparation of grants to NIH and foundations under the supervision of Drs. Belin and Poitelon, collaborate closely with both PIs, and assist in mentoring students and research assistants. Required qualifications Candidates must have a PhD in Biology, Molecular Biology, Cell Biology, Biochemistry, Genetics, Physiology, Neuroscience, or a related field with a strong hands-on laboratory skills. They should be able to design experiments, interpret data, and communicate findings clearly. We are seeking candidates that can work both independently and collaboratively in a dynamic research environment. Strong preference will be given to applicants with: Experience with Schwann cells, myelin, or peripheral nerve biology. Background knowledge in lipid metabolism, fatty-acid trafficking, or cell metabolic assays. Experience with mouse models or neurobiology techniques. Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a "need to know" and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

The Molecular Profiling and Data Science Department is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative working environment. You will participate in original studies that span from basic research to translation studies, directly impacting the lives of patients. You will also have the opportunity to develop novel computational methods from internal and external big data resources. You will join a diverse and inspiring team which cultivates discussion across scientists of differing backgrounds at the exciting intersection of multi-omics, technology development, machine learning, and immuno-oncology. We work closely with biological researchers from different scientific functions, especially the departments of Oncology, Immuno-Oncology, and Early Clinical Development to address critical scientific questions. In this role, a typical day might include the following: * Lead computational efforts in the Immuno-Oncology (IO) field by developing or applying cutting-edge methods from bulk RNA sequencing, single cell multi-omics, spatial transcriptomics and other sequencing technologies. * Work in concert with oncology pre-clinical and clinical teams to design and analyze multi-omics sequencing experiments for target identification, target advancement, biomarker discovery, and clinical profiling * Prepare clear, concise presentations for collaborators and senior management. * Publish and present novel findings in peer-reviewed journals and conferences. * Implement and develop analysis pipelines using cutting-edge algorithms and statistically sound methodologies. This job might be for you if: * You are passionate about understanding and utilizing efficient computational techniques to address biological questions. * Bring innovative thinking to multi-omics data analysis. * Have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward within Regeneron. * Can effectively communicate with collaborators of various backgrounds. * Value teamwork and team excellence. To be considered for this role, you must: * Be an enthusiastic and motivated scientist who values independent research in an open and collaborative working environment * PHD 0-2 years experience * MS -4+ years experience Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit ********************************************************************* For other countries' specific benefits, please speak to your recruiter. Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron's roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron's on-site policy and expectations for your role and your location. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $93,900.00 - $153,300.00

**About Us:** 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. **Exciting Opportunity at Memorial Sloan Kettering Cancer Center:** Join **the Lowe Lab** as a Research Technician! Joining the Lowe Lab means contributing directly to research that shapes the future of cancer treatment. Led by Dr. Scott Lowe, a pioneering cancer biologist, the lab is at the forefront of understanding how genetic changes drive cancer development and influence how tumors respond to therapy. This position is an excellent opportunity to be part of that mission. The role focuses primarily on laboratory organization, inventory management, and routine bench tasks under the guidance of senior staff. While foundational in nature, this work is essential to keeping a high-performing research lab running efficiently. The ideal candidate is eager to learn, comfortable in a fast-paced scientific environment, and committed to maintaining the high standards of cancer research. **Role Overview:** + **Laboratory Support** : Maintain overall lab cleanliness and organization, including shared workspaces, storage areas, and equipment stations; Monitor inventory of reagents, consumables, and supplies; assist with ordering and restocking; Properly label, store, and track materials, samples, and chemical inventories; Assist in maintaining safety documentation, MSDS records, and compliance logs; Perform routine equipment upkeep (calibration checks, temperature logs, cleaning). + **Techniques & Assays** : Perform routine cell culture and molecular biology work (e.g., Western blot, ELISA, IHC and/or IF, qPCR etc). + **Animal Handling** : Conduct routine mouse work (e.g., injections, tissue/fluids collection, animal autopsies). + **Data Management** : Record and analyze research data, prepare reports, and provide insights to the research team. + **Collaboration** : Assist peers and researchers with ongoing projects, fostering a team-oriented, supportive environment. **Key Qualifications:** + Bachelor's degree in biology, chemistry or a related life sciences field. + Experience with cell culture and molecular biology work. + Comfort working directly with animal models is required for this role; experience working with mice is preferred. **Core Skills:** + Attention to detail and strong record-keeping habits. + Ability to follow protocols while troubleshooting when needed. + Team-oriented approach to supporting postdocs and fellow researchers. + Adaptability in a dynamic lab environment. **Additional Information:** + Location: NYC; Zuckerman Research Center + Schedule: Onsite, 37.5 hours per week, Monday through Friday 9 am - 5 pm **Helpful Links** : + Compensation Philosophy (****************************************************** + Benefits (******************************* Pay Range: $26.21 - $39.24 FSLA Status: Non-Exempt **Closing** : At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. 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.