Bioinformatics Jobs

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular... • End Date if Temporary: • Hours Per Week: 35 • Standard Work Schedule: • Building: • Salary Range: $120K-$135k The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The Center for Infection and Immunity at Columbia University Irving Medical Center (CUIMC) and the Mailman School of Public Health is hiring for the position of Sr. Programmer Analyst, in Bioinformatics, to join one of the world’s largest and most advanced center for basic and translational science, with a global network of researchers, focused on microbial surveillance, discovery and diagnosis in humans and wildlife. The successful candidate will be part of a team that works on development and maintenance of pipelines for New York State CLIA certification of microbial diagnostic assays, microbiome analysis, large-scale studies on autism and chronic fatigue syndrome/myalgic encephalomyelitis with focus on understanding host response mechanisms using high-throughput protein arrays, RNA-Seq, proteomics and metabolomics platforms, and data integration of multi-omics platforms. The candidate will participate in the Global Alliance for Pandemic Prevention program and help with development of a secure cloud-based system, using AWS, for data processing, analysis and sharing with global researchers. The scientist will analyze next generation sequencing (NGS) data using on-site high-performance clusters (HPC) and AWS and help with migration of pipelines on Amazon Cloud. The candidate will work closely with statisticians and contribute to the publications and proposal writing. The candidate is expected to demonstrate the following skills and experience: • Advanced knowledge of commonly used bioinformatics tools and algorithms, writing pipelines for analysis of NGS datasets, generated using Illumina sequencing platform, along with strong programming and analytical skills. • Thorough knowledge of NGS experimental design, data quality control, mapping software such as Bowtie and STAR, genome annotations from major bioinformatics resources (EMBL, NCBI). Count generation using featureCounts, normalization and downstream analysis with DESeq2. Experience with tools such as Salmon, Kallisto etc. would be considered a plus. • High proficiency in scripting languages, such as Shell, Python, Perl and R in an academic or industrial environment. • Ability to work in Linux environments consisting of high-performance clusters or Amazon Cloud. Familiarity with SGE or Slurm schedulers, resource management, multi-threading tools. • Familiarity with Gene Set Enrichment Analysis or Ingenuity Pathway analysis Responsibilities • Provide bioinformatics support for multi-omics analysis in a large and dynamic laboratory - 50% • Provide support for projects related to microbial detection and discovery - 30% • Manage databases and data - 10% • Contribute to publications and research grants - 5% Minimum Qualifications • Bachelor's degree in computer science, bioinformatics, related field or equivalent in training and education with at least four (4) years of related experience. Preferred Qualifications • Master’s degree or PhD degree in computer science, bioinformatics, or related field with at least 2 years of related experience. Knowledge of statistical and machine learning techniques is a plus. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents

Organization Overview Our lab has developed novel CRISPR-based tools for functional genomics in the globally important pathogen, Mycobacterium tuberculosis. At Rockefeller, you will join a dynamic research team to investigate the mechanisms that enable this bacterium to cause disease and evade current antibiotics, with the long-term goal of developing new strategies to improve control of this... pandemic. Overview The Bioinformatics Assistant will contribute to the laboratory's research on tuberculosis, with the long-term goal of developing new strategies to improve control of the disease. The Bioinformatics Assistant will be responsible for the implementation of established next generation sequencing (NGS) data analysis pipelines, as well as the design, development, and implementation of custom NGS data analysis pipelines. Responsibilities The work will include, but is not limited to: • High-throughput genomics approaches to study tuberculosis pathogenesis, including analysis of CRISPR-based genome scale screens, single cell RNA sequencing, RNAseq, and microbial genomics • Working with commonly used algorithms for alignment, assembly, variant calling, and differential expression/count analysis • Collaborations with lab members • The opportunity to lead independent research projects • Extensive interaction with the vibrant NYC tuberculosis research and Rockefeller communities Qualifications Bachelor's degree and a minimum of 2 years of bioinformatics experience required; Master's degree in bioinformatics, computational biology, statistics, computer science or related field preferred. Must have experience working with next generation sequencing data, as well as existing bioinformatics tools and biological databases. Proficiency in Python and R required. Advanced knowledge of Python programming preferred, and experience with one or more programming languages such as Perl, Java, or C/C++ appreciated. Must have experience working in Linux and running tasks in a cluster environment. Must have experience working in teams centered around an important question and be comfortable making progress independently on individual tasks. The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD $48,000.00/Yr. Compensation Range: Max USD $56,000.00/Yr

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments... for the right patients, at the right time. We are seeking a highly motivated and capable bioinformatics scientist with experience and interest in translational cancer research and clinical genomics. This position requires experience with scientific programming, relational data systems, algorithms development, and statistical modeling. Top candidates will also have experience deploying bioinformatics code within a clinical setting. Duties And Responsibilities • Develop and optimize algorithms used to gain insight into cancer variation through analysis of next generation sequencing data • Design and conduct analysis to evaluate improvements in variant calling, classification, data modeling, and analysis systems. • Validate oncology assays to orthogonal methods. • Collaborate with scientists and clinicians to design and perform analyses on cancer clinical sequencing data in order to improve quality of care. • Work in interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients. • Produce high quality and detailed documentation for all projects. Preferred Qualifications • A completed Ph.D. in Cancer Biology or Molecular Biology related to cancer or relevant experience. • Computational skills using Python, R, and/or Bioconductor. Ideal Candidates Will Possess • Experience in cancer genetics • Experience working with next-generation sequencing data • Experience using workflow languages such as CWL and/or WDL • Experience using cloud systems such as AWS, Azure, and/or GCP • Self-driven and works well in interdisciplinary teams • Experience with communicating insights and presenting concepts to a diverse audience • Background in predictive or prognostic algorithm development The expected salary range below is applicable if the role is performed from [New York] and may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits, depending on the position. New York Pay Range $120,000—$140,000 USD We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Bioinformatics Data Manager POSITION SUMMARY... SFARI Cohorts and Data Collections Since its beginning, SFARI (Simons Foundation Autism Research Initiative) has partnered with families and clinical centers across the country to build large and diverse cohorts of well-characterized individuals with autism or with specific genetic alterations associated with neurodevelopmental risk. These include the Simons Simplex Collection (SSC), Simons Searchlight, Autism Inpatient Collection, and SPARK. The principles of community-based participatory research have been key to all cohort activities. The Simons Foundation Informatics group manages the collection and distribution of large-scale aggregate and deidentified clinical and genomic data from these cohorts, which are made available to autism researchers through SFARI Base, a clearinghouse for autism and autism-related research data and biospecimens supported by SFARI. Bioinformatics Data Manager The Bioinformatics group at the Simons Foundation is seeking a dedicated full-time bioinformatics data manager. The ideal candidate has outstanding attention to detail, with experience in data science or bioinformatics, and will be at the forefront of the Foundation's open data initiatives. This critical position is responsible for overseeing an extensive and ever-expanding collection of genomics (over 170K whole-exomes and genomes) and biomedical data across Simons Foundation autism cohorts and neuroscience collaborations. The data manager will be instrumental in enhancing data accessibility and utility for both internal staff and external investigators, aligning with the principles of open data and science. The data manager will be part of the bioinformatics team and will collaborate with informatics' engineering team, the SFARI science team, and external investigators. Key responsibilities include meticulous handling and processing of incoming data, such as genomic sequencing or biosensor data, as well as performing detailed quality control checks and downstream bioinformatics analyses. Additionally, the candidate will be responsible for preparing regular data releases and facilitating coordination among different teams, contributing to the Foundation's dynamic and collaborative environment. ESSENTIAL FUNCTIONS/RESPONSIBILITIES Data releases Maintain the Bioinformatics quality control pipeline, used to verify consistency with phenotypic data and ensure the integrity of released genomic data Execute existing variant calling pipelines, which will be included in data releases Package whole-exome and whole-genome data for regular curated and rapid releases Manage ad hoc genetic data releases for various SFARI cohorts and datasets Data organization Coordinate data receipt from external investigators, vendors, and research groups Perform incoming data cleaning, including deidentifying sample identifiers, organizing data files, and ensuring consistent metadata Manage the organization of raw, cleaned, and released data on our local cluster environment Harmonize our large collection of heterogeneous datasets hosted on SFARI Base Data sharing and support Support data sharing for SFARI investigators and collaborations, such as the Autism Rat Consortium (ARC), and Simons Sex Differences Collaboration (SSDC) Respond promptly to dataset questions from external investigators Support data access for cloud platforms MINIMUM QUALIFICATIONS Education B.S. or M.S. in data science, bioinformatics, or a related discipline. Required Experience At least 4+ years' relevant work experience Extensive experience with Linux/bash Experience working in an HPC environment Experience with Python Experience with version control using git / GitHub Basic skills in data analysis and statistics Strong organizational skills and outstanding attention to detail Effective oral and written communicator Ability to thrive in collaborative environments Desired Experience Enthusiasm for open science and collaboration Experience with genomics data processing and analysis Experience writing technical documentation Experience with cloud storage solutions (AWS, Google Cloud, Terra) Working knowledge of SQL Familiarity with data privacy and security regulations in the healthcare or research domain REQUIRED APPLICATION MATERIALS Resume Cover letter stating your interest in the position. Links to code repositories or GitHub, if available COMPENSATION AND BENEFITS The full-time annual compensation range for this position is $130,000 – $145,000, depending on experience. In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package. THE SIMONS FOUNDATION'S DIVERSITY COMMITMENT Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law. To apply, visit: https://simonsfoundation.wd1.myworkdayjobs.com/simonsfoundationcareers/job/160-Fifth-Avenue/Bioinformatics-Data-Manager_R0001472-1 Copyright 2022 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-de464cd3bfa68740ae6589b41f02285c

Overview New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent... private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university’s community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu. NYIT’s College of Arts and Sciences seeks Bioinformatics Research Technicians, Scientists, or equivalents on the Manhattan Campus. Responsibilities The laboratory of Prof. Shenglong Zhang (http://rnamodifications.org) at the New York Institute of Technology (NYIT) invites applications for a grant opportunity, which focuses on the development of next generation mass spectrometry-based RNA sequencing methods. This includes development of methods to directly sequence RNAs, to examine their associated modifications, and to explore the potential roles of RNA modifications, e.g., in COVID-19, cancer biology, and metabolic diseases. The candidate will join an NIH-funded interdisciplinary research project, and a team of scientist and engineers, e.g., from Columbia University in NYC. The candidate will have ample opportunities to acquire and develop new skills, work closely in a supportive, highly collaborative, and energetic environment with the PIs and collaborators in both academia and industry, and communicate results to the scientific community through conference presentations, patents and peer-reviewed publications. Qualifications • A MS, PhD (or equivalent) with strong background in computational sciences, bioinformatics or computer programming using Python/Java, and/or algorithmic development • Experiences in sequencing technique, liquid chromatography and mass spectrometric methods is strongly preferred. • Excel in communication and writing • Experience in data sciences, computer programming using Python/Java, and/or algorithmic development is a plus Application information: The position is open immediately, although the start date is flexible To apply, please send your 1) cover letter with your career interests, 2) curriculum vitae, 3) description of previous research and research accomplishments in a single pdf file, and 4) arrange three references. New York Institute of Technology offers numerous opportunities to enhance personal and professional growth and provides employees with a competitive compensation and benefits program inclusive of generous paid time off, holidays, tuition remission, and retirement plans with employer contributions. New York Institute of Technology is an Equal Opportunity Employer – All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Other Information In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. Minimum Salary USD $50,000.00/Yr. Maximum Salary USD $80,000.00/Yr

• Job Type: Officer of Administration • Bargaining Unit: n/a • Regular/Temporary: Regular... • End Date if Temporary: n/a • Hours Per Week: 35 • Salary Range: $58,500 - $65,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are actively seeking a motivated and experienced microbiome/omics data analyst to join our team. The successful candidate will work collaboratively with clinicians and computational biologists to undertake microbiome analysis in diverse clinical settings, with an emphasis on gastrointestinal cancers. This position offers a unique combination of training in computational biology with independence and responsibility in leading research projects, in an environment committed to cutting-edge research and collaboration. Responsibilities • Create, maintain, and apply computational pipelines for multi-omics analyses in microbiome-related investigations. • Lead data analysis efforts within collaborative research initiatives. • Interact with laboratory personnel to explain experimental findings and to develop additional analyses based on feedback. • Contribute to the preparation of research manuscripts and grant proposals. • Perform additional related duties as needed. Minimum Qualifications • Bachelor’s degree in Computational Biology, Bioinformatics, Genetics, or Statistics, or equivalent in education and experience. • Strong aptitude for teamwork and excellent communication skills. • Capacity for creative thinking and effective problem-solving. Preferred Qualifications • At least two years of related work experience. • Proficiency in programming languages such as Python, R, and UNIX. • Familiarity with source code version control systems and experience with AWS. Other Requirements • Successful completion of applicable compliance and systems training requirements Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents

The New York Stem Cell Foundation (NYSCF) Research Institute is a rapidly growing and highly successful nonprofit whose mission is to accelerate cures through stem cell research. As a (Senior) Staff Scientist, Computational Biology / Bioinformatics, you will be responsible for building custom tools and developing novel algorithms for analyzing genomic and (single-cell) transcriptomic data... created at the NYSCF Research Institute. Your expertise should encompass a strong foundation in statistics, deep/machine learning and data science, coupled with in-depth knowledge of molecular biology and genetics. You will also have experience building pipelines for high-throughput molecular sequencing technologies and a proven track record of data analysis method development. We encourage applications from individuals with knowledge of stem cell / developmental biology or any diseases studied at NYSCF. In this role, you will report to the VP, Computational Biology. What you'll do: • Develop deep/machine learning models for the integration and interrogation of multimodal data sets comprising molecular sequencing, health records, microscopic imaging, and other modalities • Create tools for the optimization of cell fate engineering protocols and screening experiments • Maintain and improve tools for ancestry inference from genotyping arraysImprove the detection of genomic abnormalities from sequencing and genotyping data to support QC of cell line production • Prototype, develop, deploy, and document pipelines for quality control, analysis and annotation of high-throughput sequencing data • Keep track of recent developments in computational biology, benchmark newly published methods and incorporate them into gold standard pipelines • Develop and implement novel data visualization strategies to summarize results and QC features • Migrate data storage and analysis pipelines to cloud-computing infrastructure (AWS) • Connect molecular profiling data with cell line metadata database • Support experimental groups with data organization and analysis and advise on experiment design for sequencing and other high-throughput assays • Report new methods and scientific results in presentations and publications What we're looking for: • PhD in Biology, Bioinformatics, Genomics, Computational Biology or a similar field, or MS degree and 5+ years of relevant work experience • A firm grasp of statistics, deep/machine learning and bioinformatics • Programming experience in Python and/or R and knowledge of software design principles • Experience with Linux command line tools and shell scripts • Basic database skills (SQL) and experience with database integration • Grasp of molecular biology and genetics • Knowledge of sequencing technologies such as (single-cell) RNA-seq, WGS/WES, ATAC-seq, etc. • Familiarity with standard tools for QC, alignment, quantification and downstream analysis of sequencing data • Ability to work in a multi-disciplinary environment of computational biologists, wetlab biologists and translational scientists • Familiarity with cloud computing infrastructures (ideally AWS) • Experience with visualization tools such as matplotlib or ggplot2 is a plus • Knowledge of or a keen interest in stem cell and disease biology is a plus • Level will be commensurate with experience $85,000 - $150,000 a year The base starting salary range for the Staff Scientist position is $85,000 - $110,000 USD. The base starting salary range for the Senior Staff Scientist position is $110,000 - $150,000 USD. NYSCF has a 35-hour workweek. The (Senior) Staff Scientist level is classified as exempt. Multiple factors, including your experience, determine final offer amounts and levels and may vary from the amounts listed above. At NYSCF, we believe diversity in all forms makes us a better team, and we celebrate it. Yet studies have shown that women, people of color, and other minoritized individuals in STEM may be less likely to apply to jobs where they do not meet all of the criteria. Therefore, if you are excited about this role but your past experience does not align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. We offer all full-time employees a comprehensive benefits package that goes into effect on the first of the month following your start date. It includes a choice of medical, dental, and vision insurance (with 100% of the premiums paid for employees and subsidies for any dependents), 403b retirement plan with 5% employer match (immediate vesting schedule which starts after your first 90 days), short and long term insurance, life insurance, inclusive paid parental leave program, pretax transit and parking, legal aid benefits and wellness benefits. Our paid time off includes vacation, sick, personal days, flexible holidays, summer flex program, and all company holidays. If a visa is required, NYSCF will cover all of those costs. Relocation will sometimes be necessary; therefore, we will provide you with an allowance. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification upon hire. NYSCF is an equal opportunity employer, and we value diversity in our organization. We provide equal opportunities to all applicants for employment 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, veteran status, or any other characteristic protected by law. The position is based at our location in Manhattan. Recruitment Phishing Scams: Fake job advertisements and offers are increasingly appearing on the internet. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond and report it to the Federal Trade Commission and the FBI at https://www.ic3.gov/Home/ComplaintChoice.You can also contact our team jobs@nyscf.org to report details of your experience. Please be mindful of the following: · NYSCF will only reach out to you through an “@nyscf.org” email address. · Other than your email address or telephone number, which you may provide via a job application portal, NYSCF will never ask you to provide personally identifiable information about yourself (such as a Social Security Number or Driver’s License Number) via a messaging application (like that used on the LinkedIn platform or Microsoft Teams or Zoom). · NYSCF will conduct interviews face-to-face over Zoom or in person. · All job postings will be listed on NYSCF's official career page (nyscf.org/careers). If someone contacts you about a job or position that is not listed on the official career page, please contact the NYSCF recruitment team at the contact information below. · If you have any questions regarding the validity of a recruitment inquiry or an interview, please contact the NYSCF’s recruitment team at jobs@nyscf.org to confirm before proceeding

Postdoctoral Research Scientist Position in Bioinformatics A Postdoctoral position in Bioinformatics is available in the laboratory of Dr. Zhiguo Zhang at the Institute for Cancer Genetics, located in the Columbia University Irving Medical Center. We are interested in epigenetic inheritance and cancer epigenetics. We are generating a large amount of omic-based data including RNA-Seq, CUT&RUN... eSPAN, and MeDIP-Seq, and genome-wide CRISPR-Cas9 screens to address questions related to epigenetic inheritance and cancer epigenetics. We are seeking a highly motivated scientist with a strong background in Bioinformatic analysis who will analyze epigenomic datasets generated in the laboratory, generate novel hypotheses via data analysis, and collaborate with other fellows in the laboratory to complete projects in a timely manner. Zhang Lab and Research information can be found at: https://zgzhanglab-columbia.com To apply for this position, please go to: https://academic.careers.columbia.edu/#!/134827?keywords=postdoctoral%20research%20scientist&sortKey=keywordScore Interested candidates should email their CV and names of three references to: zz2401@cumc.columbia.edu 部分发表论文列表： 1. Li Z, Duan S, Hua X, Xu X, Li Y, Menolfi D, Zhou H, Lu C, Zha S, Goff S, Zhang Z. Asymmetric distribution of parental H3K9me3 in S phase silences L1 elements (2023). Nature, 623:643–651. 2. Xu X, Duan S, Hua X, Li Z, He R, and Zhang Z. Stable inheritance of H3.3-containing nucleosomes during mitotic cell divisions (2022). Nature Communications, 13:2514. 3. Mo Y, Duan S, Zhang X, Hua X, Zhou H, Wei HJ, Watanabe J, McQuillan N, Su Z, Gu W, Wu CC, Vakoc CR, Hashizume R, Chang K and Zhang Z. Epigenome programing by H3.3K27M mutation creates a dependence of pediatric glioma on SMARCA4 (2022). Cancer Discovery, 12:2906–2929. 4. Yu, C., Gan, H., Serra-Cardona, A., Zhang, L., Gan, S., Sharma, S., Johansson, E., Chabes, A., Xu, R.M., Zhang, Z. A mechanism for preventing asymmetric histone segregation onto replicating DNA strands (2018). Science, 361:1386–1389. 5. Zhang, L., Serra-Cardona, A., Zhou, H., Wang, M., Yang, N., Zhang, Z.* and Xu, R.* Multisite substrate recognition in Asf1-dependent acetylation of histone H3K56 by Rtt109 (2018). Cell, 174(4):818–830 6. Fang D, Gan H, Lee J, Han J, Wang Z, Riester SM, Jin L, Chen J, Zhou H, Wang J, Zhang H, Yang N, Bradley EW, Ho TH, Rubin BP, Bridge JA, Thibodeau SN, Ordog T, Chen Y, van Wijnen AJ, Oliveira AM, Xu R, Westendorf JJ, Zhang Z (2016). The histone H3.3K36M mutation reprograms the epigenome of chondroblastomas. Science, 352:1344–1348. Columbia University is an equal opportunity employer / disability / veteran

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human... condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Imielinski Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research conducted in the Imielinski Lab and Perlmutter Cancer Center. Job Responsibilities: Assist in preparing concise presentations of computational results. Work with the Perlmutter Cancer Center cancer genomics team to integrate different types of genomics data. Adapt genomic data analysis pipelines in a rapidly evolving research environment. Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. Assist in the design, implementation, and execution standard pipelines for routine genomics data analyses Perform robust data quality control and validation. Develop expertise in various types of sequencing data analysis (e.g. , whole genome sequencing and 3D chromatin data from short and long reads, optical mapping, and single-cell sequencing.). Other duties as assigned. Work closely with bench scientists to understand and help accomplish their research goals. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines Experience in Unix/Linux systems including HPC environments Scripting languages: Python or Perl Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine 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, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health 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 $63,935.04 - $65,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, 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. To view the Pay Transparency Notice, please click here

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular... • End Date if Temporary: • Hours Per Week: 35 • Standard Work Schedule: M-F 9am-5pm • Building: • Salary Range: $75,000 - $90,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are looking for an enthusiastic and energetic individual to join our research effort investigating genetic and molecular variation in the context of human aging, with a focus on brain tissue. This position will work with the Menon lab and other inter-disciplinary teams as part of consortium-wide projects to incorporate existing and new experimental data on the trajectory of human aging and neurological disease. The candidate will develop, execute, and maintain bioinformatics pipelines to process and analyze genetic, imaging, transcriptomic (bulk and single-nucleus RNA-seq), epigenetic, and proteomic data from mouse and human brains. In addition, the candidate will incorporate analysis results into a parse-able format for non-bioinformatics experts. The ideal candidate should have a quantitative background (Computer Science, Statistics, Biostatistics, Computational Biology, Applied Mathematics, Computational Neuroscience, Genomics, or Bioinformatics), and extensive experience in standard workflows for analysis of large-scale molecular and imaging data, specifically to answer questions about aging associated changes in human and model system data. In-depth knowledge of at least one flavor of data (genetics, transcriptomics, epigenetics, or proteomics) is required, as well as prior experience with image analysis. Successful applicants will receive on-the-job training for other data modalities in the Menon lab. The candidate should have good knowledge of programming languages for implementing computational algorithms on large-scale data (R, Python, Perl), as well as experience working in Linux/Unix on high-performance computing/cluster platforms. The successful candidate will be part of an integrated team of neurologists, data scientists, and cell biologists who come together to perform team-based projects. The position therefore offers a stimulating and multi-disciplinary environment and the opportunity to work with a variety of researchers at Columbia University and beyond. There will be many opportunities to contribute to multiple ongoing national and international collaborative projects. Responsibilities • Responsible for assembling, executing, and developing the latest bioinformatics pipelines for primary analysis of ‘omics data in the context of aging. • Responsible for importing, developing, and implementing image analysis pipelines for tissue-level analysis of cell signatures • Contribute to QA/QC of published and newly generated data sets. • Develop analysis workflows to answer targeted questions about changes in molecular profiles in healthy aging or disease in human. • Display initiative and independence in providing rapid results to various investigators generating experimental data. • Communicate results to non-bioinformatics experts and develop novel analysis approaches in response to new questions or insight. • Prepare summary reports of data and results for dissemination to colleagues and collaborators. • Directly respond to inquiries regarding projects being managed. Produce subsets of data for distribution to collaborators as approved by the principal investigators. Minimum Qualifications • Requires bachelor’s degree or equivalent in education and experience, plus three years of related experience. Preferred Qualifications • Master’s Degree or PhD in bioinformatics, computational biology, applied mathematics, computational neuroscience, computer science, statistics, biostatistics, physics, or related area. Other Requirements • Demonstrated programming skills • Demonstrated experience with building pipelines for at least one “omics” data modality (genetics, transcriptomics, epigenetics, proteomics). • Strong organizational skills in managing and analyzing large datasets • Programming experience in R, Python, Perl, or C/C++ • Ability to work independently, display initiative within a team environment, and respond rapidly to requests Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents