Bioinformatics Jobs

Job Summary The Bioinformatics department has an opening for a Data Scientist I. This role will employ a highly skilled data scientist with expertise in developing machine learning models to curate and analyze large, multi-modal datasets generated by the SimCenter at UT Southwestern Medical School. Experience with using machine learning for analyses of video-based data sets is a plus. They will... work closely with our software and AI engineers to ensure that the models are integrated into actionable user interfaces. Job Duties • Analyzes and develops formalisms, algorithms and software for applications in biomedical research. • Develops and maintains software tools and infrastructure for resolving specific problems. • Assists in the development, testing and revision of programs in a team with diverse bioinformatics expertise. • Performs other duties as assigned. Responsibilities: • Clean, organize, and analyze large, multi-model data sets • Build, train, test, and evaluate machine learning models on our proprietary data sets • Understand and implement the latest video-based machine learning models • Continuously improve the performance of the models by analyzing results and experimenting with different techniques • Collaboratively ensure the models are integrated into the user interfaces. Experience and Education M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field OR B.S. with demonstrated experience in broadly defined areas of bioinformatics. 0 - 2 years post-graduation experience in data analysis and/or scientific software development. Technical Skills/Specifications: • Strong experience with Python and related data science libraries such as Pandas, Numpy, Scikit-learn. • Strong experience with machine learning frameworks such as Tensorflow or PyTorch. • Experience with video analysis with machine learning, specifically with CNNs and other deep learning models. • Experience with data visualization tools such as Matplotlib or Seaborn. • Strong understanding of data science and machine learning principles and best practices. • Experience with cloud platforms such as AWS or GCP. • Strong debugging and problem-solving skills. Why UT Southwestern? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. At UT Southwestern, we invest in you with opportunities for career growth and development that align with your future goals and help to provide security for you and your family. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more that are all available on the day you start work. UT Southwestern is honored to be a Veteran Friendly work environment that is home to approximately 800 veterans. We value your integrity, dedication, and the commitment you’ve made to our country. We’re proud to support your next mission. Ranked by Forbes as one of the Top 10 National Employers, we invite you to be a part of the UT Southwestern team where you’ll discover teamwork, professionalism, and consistent opportunities for growth. This position is security-sensitive and subject to Texas Education Code §51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion

The Landau Lab at the New York Genome Center is looking for a highly motivated, detail-oriented individual to join our efforts to study the basic principles of cancer evolution. As a Bioinformatics Associate, you will be trained in the analysis and interpretation of next-generation sequencing (NGS) data, originating from patient samples, as well as experimental modeling of cancer evolution, under... the guidance of advanced bioinformaticians. The Lab The Landau Lab develops computational and experimental tools to study cancer evolution. Our research is geared towards uncovering basic principles in evolutionary biology, using both patient-derived samples and experimental systems for modeling cancer evolution. In addition, we seek to apply this knowledge to designing the next generation of precision medicine tools to overcome cancer evolution, as a central challenge to cancer cure today. Job Duties • Learn and assist in analyzing sequencing data using established pipelines; • Learn and perform appropriate QC measures; • Learn and develop/benchmark new tools for sequencing data analysis (single cell and liquid biopsy technology); • Assist and collaborate with internal and external researchers in interpretation of sequencing data. The successful applicants will be part of a fast-paced and dynamic team. The Landau Lab will provide significant on-the-job training. We seek a candidate who is motivated and can take independent initiative. This is an excellent opportunity for someone looking to gain experience to move into a PhD program within a couple of years, based on the new skillset they develop at New York Genome Center (though, this is not a requirement). This position requires a track record in genomics or Machine learning. Position Requirements • BS or MS degree, or equivalent experience required; • Team oriented with excellent written and verbal communication skills, collaboration skills and an eagerness to learn required; • Exposure to NGS data analysis preferred; • A working understanding of code and script required; • Training in statistics, advanced maths, computer science or machine learning required. Competencies • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. • Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary & Benefits The pay range for this position is $60,000-75,000 per year; the base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. About The New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer’s, Parkinson’s, Huntington’s), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Please note: We care greatly about our employees’ wellbeing, so NYGC has moved to a fully COVID-19 vaccinated work environment. You must be vaccinated against COVID-19 to work at NYGC, even if you are working partially remotely. If you are selected to interview for this role, we will explain our vaccination policy (including medical and religious exemptions) and ensure you are comfortable moving forward with further interviews. Equal Opportunity Diversity, equity, and inclusion are central to NYGC’s core mission. We strive to create a workplace environment that is welcoming and fair to all regardless of race, ethnicity, gender, sexual orientation, physical ability, or religion. We believe that when people of various backgrounds, life experiences, and perspectives work together in an inclusive and equitable environment we gain new and valuable perspectives that otherwise would have been missed. Valuing and supporting all NYGC employees as individuals while helping them realize their full potential is critical to promoting greater collaboration, innovation, and discovery – fostering a sense of belonging for our greatest strength, our people. We recognize that there is still work to be done that will require sustained commitment from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. FLSA Status – Exempt This position is not eligible for visa sponsorship. Required Skills Required Experience

The Reitz Lab and Alzheimer’s Disease Research Center (ADRC) Genetics Core at the Taub Institute for Research on the Aging Brain at Columbia University are seeking Postdoctoral Research Scientists interested in analysis of high-throughput multi-dimensional -omics data to study neurodegeneration and diseases of the central nervous system, with emphasis on Alzheimer’s disease and related dementias... The ultimate goal is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutical targets. The Taub Institute for Research on the Aging Brain at Columbia University is a world-leader in research of neurodegenerative diseases and the nucleus of a dynamic, translational, multidisciplinary endeavor bringing together Columbia University researchers and clinicians to uncover the causes of Alzheimer's, Parkinson's and other age-related brain diseases. It is renowned for its large-scale research cohorts of neurodegenerative disorders, which include various population and family-based large-scale datasets of various ancestries with deep phenotyping including clinical, neuroimaging, and fluid biomarker phenotypes and genomic and multi-omic assessment. We are seeking highly motivated researchers with strong analytical skills to join our effort and generate novel insights of neurodegeneration using these unique multi-omic datasets, while working in a highly dynamic multidisciplinary and collaborative environment. Dr. Reitz, Director of the Genetics Core and Associate Director of the Taub Institute for Research on the Aging Brain, is well funded with several grants from the National Institute of Ageing. Responsibilities: - Analyses of GWAS, whole-exome and whole genome sequencing data of neurodegenerative disorders including blood, cerebrospinal fluid (CSF) and neuroimaging biomarkers - Analysis of other omics data (transcriptomics, proteomics, metabolomics etc) - Composition of scientific articles Requirements: The successful applicant will hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human genomic or other omics datasets is expected. The candidate would have solid skills in at least one programming language (R, python or perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity with interrogating publicly available resources will be highly beneficial

Title: Bioinformatics Analyst Location: Upper East Side... Org Unit: Newborn Medicine Work Days: Exemption Status: Exempt Salary Range: $75,000.00 - $129,600.00 • As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices Position Summary Performs computational analysis of genomic data; writes computer code and scripts to implement analytical pipelines. Job Responsibilities • Performs custom bioinformatics and statistical analyses involving genomic and transcriptomics data. • Assists with developing new software tools and writes code for specific analyses. • Implements analytics pipeline using scripting and coding. • Performs other related duties as assigned. Education • Bachelor's Degree in related field Experience B.S. in molecular biology, genetics, bioinformatics, biomedical engineering or computer science desired. MS or PhD in systems biology, bioinformatics or computer biology is highly desired. Approximately 2 years of related experience. Knowledge proficiency in Unix. Programming experience in at least one of the following languages: R C, C++, Python, Perl, Java. Experience in biology and/or cancer biology is preferred. Experience working in an academic environment is highly desired. Previous experience in designing and building bioinformatics workflows preferred. Previous experience analyzing and summarizing genomic datasets preferred. Knowledge, Skills and Abilities • Experience with R and Python programming, statistical analyses and use of next generation sequencing tools such as STAR, TopHat, CuffLinks, BWA, GATK and others. • Ability to work with minimal supervision, and excellent written and oral communication skills, required. • Demonstrated ability to achieve results in a fast paced, deadline driven environment with multiple priorities and multiple stakeholders. • Experience with genomics and bioinformatics in a clinical laboratory including setting up, testing and maintaining bioinformatics workflows • Ability to learn and deliver work in fast-paced and diverse environment Licenses and Certifications Working Conditions/Physical Demands Weill Cornell Medicine is a comprehensive academic medical center that's committed to excellence in patient care, scientific discovery, and the education of future physicians in New York City and around the world. Our doctors and scientists-faculty from Weill Cornell Medical College, Weill Cornell Graduate School of Medical Sciences, and the Weill Cornell Physician Organization-are engaged in world-class clinical care and cutting-edge research that connect patients to the latest treatment innovations and prevention strategies. Located in the heart of the Upper East Side's scientific corridor, Weill Cornell Medicine's powerful network of collaborators extends to its parent university Cornell University; to Qatar, where an international campus offers a U.S. medical degree; and to programs in Tanzania, Haiti, Brazil, Austria and Turkey. Our medical practices serve communities throughout New York City, and our faculty provide comprehensive care at NewYork-Presbyterian Hospital/Weill Cornell Medical Center, NewYork-Presbyterian/Lower Manhattan Hospital, and NewYork-Presbyterian/Queens. At Weill Cornell Medicine, we work together to treat each individual, not just their conditions or illnesses, as we strive to deliver the finest possible care for our patients - the center of everything we do. Weill Cornell Medicine is an Equal Employment Opportunity Employer. Weill Cornell Medicine provides 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

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 Programmer. In this role, the successful candidate The Applied Bioinformatics Laboratories (ABL) and Tsirigos Lab (Precision Medicine) at the New York University Langone Health are searching for a Bioinformatics Programmer. NYU Langone Health is a world-class, patient-centered, integrated, academic medical center, and one of the nation's premier centers for excellence in clinical care, biomedical research and medical education. The highly motivated, creative and passionate candidate will be responsible for conducting independent biomedical research under Dr. Tsirigos' mentorship, and must commit 2 years minimum. The candidate will have scientific and career development support, and access to all opportunities offered by NYU Langone Health. The applicant must have have excellent verbal and written communication skills, maintain accurate and highly-organized data repositories and code notebooks, and work efficiently and collaboratively as part of a team. The successful candidate will be responsible for the analysis of various types of genomic, epigenomic and transcriptomic data, development and maintenance of computational pipelines. Excellent work will lead to publications and we will support you to present in national conferences. This is a great opportunity to quickly acquire high-in-demand bioinformatics skills, develop and publish new analysis tools/pipelines, analyze challenging datasets, and be a co-author on multiple peer-reviewed manuscripts. Job Responsibilities: Research topics • Cancer epigenetics and 3D chromatin organization • AI deep learning methods to analyze Hi-C and HiChIP datasets • Chromatin organization at single-cell resolution Duties and Responsibilities • Use existing bioinformatics pipelines to analyze patient and pre-clinical model data generated in the lab and downloaded from published datasets • Perform different types of data analysis relating to the genomics-based approaches utilized by the lab • Organize and maintain code notebooks to facilitate code reusability and study reproducibility • Collaborate with other research staff in lab for common research goals • Develop new methods for multi-omics data analysis and integration, and interpretation of results in context of disease pathology • Prepare of figures and schematic diagrams for publication and presentations • Write and edit manuscripts and grant proposals with PI • Maintain confidentiality of all research information • Professional development: attend seminars, lectures and training courses to acquire new skills and remain up to date; learn new tools and techniques as necessary • Other duties as assigned Minimum Qualifications: To qualify you must have a Highly motivated and productive individual with a M.Sc. in Bioinformatics, System Biology, Computer Science or related field. The position requires a minimum 2 year commitment. Knowledge of biology and understanding of key biological concepts (genes, pathways, and/or stem cells) Attention to detail and ability to work on multiple projects Experience in Unix/Linux systems including high-performance computing environments Strong programming skills in R and/or Python Expert in sequencing data analysis, creating customized sequencing analysis pipelines Expert in executing standard bioinformatics pipelines Excellent communication skills with proficiency in written and oral English Ability to work independently (e.g., find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results). Ability to function in a multidisciplinary team including MD's and PhD's. Ability to work under stress/deadlines Preferred Qualifications: Knowledge of algorithms, data structures, machine learning, and statistics Ph.D. in in Bioinformatics, System Biology, Computer Science or related field 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 $61,475.67 - $83,200.00 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

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 Senior Bioinformatics Programmer. NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nation's premier centers for excellence in clinical care, biomedical research and medical education, is a seeking highly motivated, enthusiastic individual to join the Applied Bioinformatics Laboratories (ABL). The Applied Bioinformatics Laboratories (ABL) and the NYU School of Medicine Cancer Center are seeking a highly motivated, enthusiastic, and creative individual to work on a variety of high-impact research projects. The successful candidate will be responsible for the analysis of various types of genomic, epigenomic and transcriptomic data, customization of computational pipelines, data integration and advanced analyses including tumor evolution, neoantigen identification, and single-cell and spatial transcriptomics. Job Responsibilities: • Perform quality analysis of the generated sequencing data and develop solutions to enhance future performance • Support the team in its common research goals • Present results of analyses to team members • Work with lab users to analyze biomedical data and address clinical needs using bioinformatics techniques and tools • Develop new methods for multi-omics data analysis and integration • Develop new bioinformatics pipelines to support new molecular assays • Maintain and troubleshoot existing bioinformatics pipelines • Perform different types of data analysis relating to genomics-based approaches utilized by various laboratories in a largely independent fashion. Minimum Qualifications: To qualify you must have a Ph.D. or M.Sc. in Bioinformatics, System Biology, Computer Science or related field Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, cancer and/or stem cells) Attention to detail and ability to work on multiple projects Experience in Unix/Linux systems including high-performance computing environments Strong programming skills in R and Python Knowledge of algorithms, data structures, machine learning, and statistics Expert in sequencing data analysis Expert in executing standard bioinformatics pipelines Expert in creating customized sequencing analysis pipelines Excellent communication skills with proficiency in written and oral English Ability to prepare reports and presentations Strong analytical skills Ability to work independently (e.g., find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results) Ability to function in a multidisciplinary team including MD's and PhD's Flexibility ability to work under stress/deadlines 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 $89,000.00 - $115,000.00 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

Strength Through Diversity Ground breaking science. Advancing medicine. Healing made personal... We are seeking an Associate Bioinformatician for cancer research position at the TCI newly established Bioinformatics for Next Generation Sequencing core facility (BiNGS). The mission of BiNGS is to enhance scholarship and facilitate research in the TCI community by providing access to state-of-the-art bioinformatics analysis, and training. The BiNGS stuff support a broad range of bioinformatics analyses for multiple applications spanning genomics, transcriptomics and epigenomics research, through standard and custom analysis, data management, bioinformatics tools development, access to biocomputing resources, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. We are seeking a highly motivated Bioinformatics Scientist who wants the opportunity to significantly impact the growth and success of our cancer research programs, the Bioinformatics core and the service we provide to the TCI investigators. The candidate will work closely with TCI investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-detail, and ability to work independently are critical competencies for the role. Roles & Responsibilities: • Execute computational analysis for scRNA-seq, RNA-seq, ChIP-seq, Cut&Run, ATAC-seq and HiC/Hi-ChIP, using existing standard analysis pipelines. • Integrate data from publically available resources (e.g. ENCODE, PCAWG, TCGA, ICGC and GTEx). • Provide analyses and visualization for presentations and publications. • Participate in development of new software tools to process, analyze and visualize high-throughput multidimensional sequencing data. • Manage the core online database and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. • Tracking and reporting of ongoing projects. • Provide bioinformatic support and training to TCI investigators. Requirements: • Education: B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline. M.S. in related field preferred. • Proven experience in analyzing and integrating scRNA-seq and bulk RNA-seq data and more broadly; genomics, transcriptomics and epigenomics data sets in the context of cancer. • Proven experience with Python, Perl, R and Unix. Additional experience with standard genomics tools for high-throughput sequencing data analysis (e.g. Bowtie2, deepTools, Samtools, and the UCSC genome browser). Experience with markup languages such as HTML is preferred. • Experience in batch HPC cluster environment with a parallel file system. • Proven ability to research, analyze, recommend, communicate, and implement solutions. • Good understanding of genomics, cancer, chromatin biology, and technologies such as qPCR and next-generation sequencing. • Must be able to work as an individual while part of a small team. Strength Through Diversity The Mount Sinai Health System believes that diversity, equity and inclusion are drivers for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together and participate actively as a leader within the Mount Sinai Health System by: • Serving as the primary resource management representative of the Mount Sinai leadership teams, committees, etc., and acting as the primary executive leader interface between Mount Sinai and key executives from the health systems’ vendors and partners. • Engaging with relevant thought leaders and policy-makers at the federal and state levels, and representing the Health System as assigned. • Using a lens of equity in establishing and promoting policies and procedures and providing opportunities for all to thrive. • Confronting racist, sexist or other inappropriate behavior and challenges exclusionary organizational practices and serving as a role model to promote anti-racist behaviors. • Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers. We work hard to acquire and retain the best people, and to create a welcoming, nurturing work environment where you can develop professionally. We share the belief that all employees, regardless of job title or expertise, can make an impact on quality patient care. Explore more about this opportunity and how you can help us write a new chapter in our story! Who We Are Over 42,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve. Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospital campuses, including Mount Sinai Beth Israel, Mount Sinai Beth Israel Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai Morningside (formerly Mount Sinai St. Luke’s), and New York Eye and Ear Infirmary of Mount Sinai. The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. EOE Minorities/Women/Disabled/Veterans Compensation The 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 $58,661.00 - $82,400.00 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

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 Associate Bioinformatics Programmer. The Associate Bioinformatics Programmer is a critical member of Dr. Aravinda Chakravarti's lab and will perform intensive analysis of human genome genotype and sequence data for gene discovery in complex human disease. The laboratory has recently been funded on a major project to understand the genetic basis of sex differences in autism in, collaboration with the laboratories of Evan Eichler, Huda Zoghbi and Tom Nowakowski. We seek an individual to analyze whole genome sequence and brain transcriptomic, open chromatin and sex-hormone-dependent gene expression data, from patients and reference samples, for deciphering the sex-specific and sex-independent brain regulatory machinery in autism. The individual will adapt existing and develop novel software applications for a growing computing and analysis development team in human disease genomics; work collaboratively with other lab members, but also complete projects on time and independently; and develop computational expertise in genetics. Job Responsibilities: • 1 Participate in application and software maintenance work and provides trouble shooting services to user groups. 2 Participate in writing related technical reports and/or publications. 3 Ensure the integrity and security of data, code, and experiments. 4 Document for all software, code, and experiements. 5 Help to design and implement for the developing web-base applications. 6 Participate in the deployment of Web-based software applications, and related information search and retrieval systems. 7 Develop computational expertise in genetics and develop technology to support analysis dynamically using Perl, JavaScript’s, JAVA, and ColdFusion. 8 Adapt existing and develop novel software applications for a growing computing and analysis development team in human disease genomics. 9 Perform intensive analysis of human genome genotype and sequence data for gene discovery in complex human disease, and other application and system programming as needed. 10 Collect and analyze lab member’s requirements, design and build data and function flows and participate in programming work, including the implementation of information systems and participation in the formulation of procedures as they relate to functional areas. 11 Participates in special programs and performs other duties as assigned. Minimum Qualifications: To qualify you must have a Bachelor's Degree in Computer Science/ Math/ Statistics/Physics/Information Science or related technical discipline. Strong programming skills in Matlab, R, C/C++, Perl/Python. Must be able to work in a demanding and dynamic team environment and work independently. Knowledge of algorithms and data-structures. Experience with Web-based application development languages such as HTML/JavaScript, ColdFusion, ASP/JSP. Experience with windows and Unix/Linux operating systems; ability to read and write technical documentation; proficiency in the use of software applications, databases, spreadsheets, and/or word processing required. Excellent communication skills, both oral and written required. Preferred Qualifications: None 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 $58,500.00 - $70,000.00 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: • 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

Send a brief bios with few sentences about you Bioinformatics skills and years of work experience (RNAseq, WES, Metabol, Prot..OMICs). We are looking for mainly an analyst with not less than 4-5 years of bioinformatics experience with advanced R or Python programming skills.