Bioinformatics Jobs

Bioinformatics Scientist The New York Stem Cell Foundation (NYSCF) is a rapidly growing and highly successful nonprofit whose mission is to accelerate cures through stem cell research. NYSCF is seeking a Bioinformatics Scientist to support the ongoing efforts of both The NYSCF Global Stem Cell Array™ as well as the wider research laboratory. This position reports to VP, Automation Systems and Stem Cell Biology, working closely alongside software engineers, research scientists and operations. The Bioinformatics Scientist will be responsible for the organization, storage and analysis of biological and biochemical data as it pertains to research performed at NYSCF. The position also requires learning essential experimental methods and laboratory science to support cutting-edge stem cell research and communicate with laboratory scientists about points of issue and excitement within their data. Responsibilities: • Design and develop computational tools and pipelines for various bioinformatics tasks including genomic alignment, assembly, variant detection, and expression analysis with data generated across a variety of platforms. • The organization, storage and development of tools to provide optimal access to both raw and processed data. • Development of novel algorithms / models for enabling predictions based on collected data. Minimum Qualifications • Proficiency in Python and/or R, SQL, and UNIX/Linux as well as Experience with Bioconductor or related tools. • Experience with pandas, numpy, and scipy for the efficient parsing, handling, and analysis of numerical and text-based data in Python. • Familiarity with matplotlib and associated libraries in Python, as well as ggplot2 and associated libraries in R, for generating complex graphics based on large data sets. • A solid foundation in hypothesis testing, statistical inference, and predicative modeling is required. • Experience with Amazon Web Services’ RDS, EC2, and S3 cloud computing and web services. • Willingness to learn advanced statistical and algorithmic techniques, such as relevant machine learning models and design of experiment (DoE). • MS in Bioinformatics preferred.

A world-renowned Healthcare System is seeking a Bioinformatics Engineer to perform next-generation sequencing data processing, analysis, and pipeline framework design in a dynamic and exciting academic environment at the nexus of cancer biology, computer science, statistics, and clinical research. The team develops data analysis pipelines and analytic platforms on both local high performance computing clusters and cloud-based resources to facilitate research activities and precision health initiatives. You will contribute toward the evolution of the current infrastructure design that leverage Nextflow and nf-core and a container-based systems approach that enable compute portability and reproducibility.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $112,500 - $244,200 Overview: At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism. Position Summary: We are looking for a skilled Bioinformatics Cloud Engineer, DevOps to join our team of engineers to play a key role in managing our cloud infrastructure, cost optimization, and implement efficient solutions for bioinformatics workflows. The ideal candidate will have hands-on experience with AWS cloud ecosystems, cost optimization strategies, and proficiency in using Terraform, Ansible or other Infrastructure as Code platforms for infrastructure management. Knowledge of bioinformatics is also required. We're seeking team players with strong technical skills, and a positive, respectful attitude to enhance our innovative work environment. Responsibilities: Cloud Infrastructure Management • Design, deploy, and manage scalable and reliable AWS infrastructure to support bioinformatics workflows. • Utilize Terraform, Ansible, or other infrastructure as a service (IaaS) provisioning platforms for service management. Cost Optimization • Implement cost-effective solutions and optimize resource utilization within the AWS cloud environment. • Monitor and analyze cloud resource consumption, identifying opportunities for cost savings. • Interface with users and ensure best practices are being followed to save on costs. Bioinformatics Integration • Collaborate with bioinformatics team members to understand their computational requirements and integrate cloud solutions accordingly. • Work on optimizing and parallelizing bioinformatics workflows in the cloud environment. Security and Compliance • Implement and adhere to security best practices in cloud infrastructure. • Ensure compliance with data protection regulations and internal security policies by working closely with qualification vendors and validation teams. Collaboration • Work closely with cross-functional teams, including bioinformaticians, data scientists, and software developers, to understand their needs and provide technical support. Basic Requirements: • Bachelor’s or Master’s degree in Computer Science, Bioinformatics, or a related field. • Proven experience working with AWS cloud services, including but not limited to EC2, S3, Lambda, AWS Batch, Cost Explorer, Athena, Glue. • Hands-on experience with Terraform, Ansible, AWS Cloud Formation for infrastructure provisioning and management. • Strong understanding of cloud cost models and experience implementing cost optimization strategies. • Familiarity with bioinformatics tools and workflows. • Experience working in the biopharmaceutical or biotech industry. Additional Preferences: • AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics, AWS Certified DevOps Engineer) are a plus. • Experience with workflows (i.e. Nextflow) is a plus but not mandatory. • Experience working cross-departmentally with groups such as Validation, QA, and Information Security a strong plus. • Strong understanding of SQL and NoSQL databases required; big data, data lake management a plus. • Knowledge of data security and infrastructure best practices and compliance standards. • Excellent problem-solving skills and ability to troubleshoot complex issues. • Strong communication and collaboration skills. • We would prefer candidate to be located near our New York City, South San Francisco, San Diego, or Boston sites Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups. Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

VelocImmune (VI) Next is a technology development group at Regeneron that invents and develops state-of-the-art tools for biologic drug discovery. We are seeking a highly motivated Scientist with experience in computational biology to join our bioinformatics research team at the Tarrytown location. The Scientist will operate at the interface of multi-faceted data analyses and computational technology development to support therapeutic advancement in multiple disease fields. The Scientist will be part of a cross-functional and highly collaborative team towards the creation of next generation cell and gene therapies. A typical day in the life of a Scientist would include the following responsibilities: • Develop, apply and tailor computational methods for analyses of multi-omics datasets generated through cutting-edge sequencing technologies, including both single cell and bulk level, as well as shotgun and long read sequencing • Develop computational platforms and models (e.g. machine learning models) driven and trained by data • Work closely with web lab teams and clinicians for data processing, analysis, interpretation and visualization to support research in multiple stages of therapy development spanning discovery, pre-clinic and clinical studies • Self-motivated, passionate about computational data, and conduct research collaboratively in a team setting. This role may be for you if you have the following: • B.S./M.S. in one of the following fields: Computational Biology, Bioinformatics, Systems Biology, Computer Science, Mathematics, Engineering, or other related fields, with 6+ years of experience. • Proficiency in one of the commonly used programming languages, such as R, Python, Perl, Java, or Linux • Hands-on experience with analyses of high-throughput biological data; experience with single cell data or long read sequencing data analysis, or working experience with adaptive immune receptors will be a plus. • Passion for learning and exploring new fields Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! 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) $92,500.00 - $151,100.00

Pay Range $131,800.00-$217,500.00 Company Overview 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. Please review important announcements about vaccination requirements and our upcoming EHR implementation by clicking here. Important Note for MSK Employees: Your Career Hub profile is submitted to the hiring team as your internal resume. Please be sure your profile is fully complete with your skills, relevant experience and education (if required). Click here to learn more. Please note, this link is only accessible for MSK employees. Job Description Exciting Opportunity at MSK: Are you a Software Engineer enthusiastic about helping solve problems in cancer biology, genomics, and their clinical applications? Join us as a Bioinformatics Software Engineer IV! In this role you will lead the software engineering team who is developing the FDA-recognized precision oncology database OncoKB. OncoKB is an integral component of the clinical genomics platform at MSK, codifying MSK’s immense expertise on genomic biomarkers and their clinical applications. OncoKB is currently being used to annotate all patient sequencing reports at MSK as well as thousands of patients in retrospective cohorts for cancer researchers worldwide. The OncoKB software suite has been developed in-house at MSK since 2013. It includes a curation interface that supports content curation, a public website (oncokb.org) that hosts more than 1000 daily user visits worldwide, as well as a database and API that support real-time annotation of genomic variants identified in cancer patients. To better support clinical decisions and cancer research, we are looking to expand features of all OncoKB components. The Center for Molecular Oncology’s (CMO) mission is to promote precision oncology through genomic analysis to guide the diagnosis and treatment of cancer patients. The CMO brings together clinicians and scientists throughout MSK to conduct large-scale translational research involving molecular characterization of patient tumor specimens to identify genomic features that drive clinical outcomes. Role Overview: • Execute and oversee the systems, programs, and computational aspects of OncoKB. This includes leading the development and implementation of new features, ensuring the platform's stability and scalability, and leading all aspects of data management and integration. • Lead and develop a team of software engineers, providing technical guidance, mentorship, and support. This involves fostering a collaborative and productive work environment, setting clear goals and expectations, and conducting performance reviews. • Collaborate with the OncoKB Lead Scientist and SCMT to translate scientific and clinical requirements into technical specifications. This includes participating in meetings, reviewing documentation, and providing input on the feasibility and implementation of new features. • Lead all aspects of the deployment of OncoKB to its various outputs, including the public website (www.oncokb.org), cBioPortal for Cancer Genomics, and MSK-IMPACT clinical reports. This involves working closely with IT and other collaborators to ensure seamless integration and data transfer. • Ensure the security and integrity of OncoKB data, implementing appropriate access controls, data backup and recovery procedures, and data validation protocols. • Stay abreast of emerging technologies and best practices in software engineering, evaluating and adopting new tools and methodologies to enhance the functionality and performance of the OncoKB platform. Key Qualifications: • Master’s degree with 5 years of experience or Bachelor's degree with 7 years of proven ability in computer science, bioinformatics, or a related field, or equivalent professional experience. • Strong leadership and management skills, with the ability to motivate and guide a team of engineers. • Demonstrated expertise in web application development, including proficiency in HTML5, CSS, Java, and Python. • Extensive experience with databases such as MySQL and MongoDB. • Strong understanding of cloud deployment principles and technologies. • Experience with software development in a team environment using Git/GitHub or other source code control systems. • Excellent communication and collaboration skills, with the ability to effectively interact with scientists, clinicians, and other stakeholders. Core Skills: • Experience with Google Firebase or similar platforms. • Knowledge of user interface design principles and best practices. • Prior experience working on open-source projects related to bioinformatics or cancer genomics. • Familiarity with the principles of precision oncology and cancer variant interpretation. Additional Information: • Schedule: 37.5 hours Monday - Friday, hybrid• Location: 323 E. 61st Street (Maclowe)• Reporting to: Attending Associate Pay Range: $131,800.00-$217,500.00 #LI-hybrid Helpful Links: • MSK Compensation Philosophy • Review Our Greats Benefits Offerings Please click to learn more about MSK’s compensation philosophy. Closing 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.

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: The Center for Human Genetics and Genomics is seeking an experienced bioinformatics programmer to join the deciphEHR team, which is pioneering genomic medicine at NYU Grossman School of Medicine. This role is a key part of a dynamic and rapidly growing project to develop software for optimizing and integrating large-scale genome sequence processing linked to EPIC EHR (electronic health records). Specifically, the individual will develop the data infrastructure for processing and querying large genomic datasets by our end users, as well as involved in cutting edge genomic medicine research. We seek and individual who is experienced in writing production grade bioinformatics pipelines with database/data warehouse integration experience, as well as have some experience in independent research. Job Responsibilities: • Develop production genomic workflows on HPC as well as cloud environments • Develop a genomic data warehouse for efficient querying of large data using Glow • Perform data processing and QC for genomic and clinical datasets • Participate in data and software maintenance work for our team • Document all required software code and experiments • Extract and manage multidimensional descriptive numeric and digital data from the EPIC EHR database for phenotype analysis Minimum Qualifications: Master's degree in computer science/data science/bioinformatics/Statistics/Information Science or related technical disciplines. Proven programming skills in Python, Bash/UNIX, R. Proficient in Git for version control. At least one year experience with a big data technology such as Spark, Hadoop, etc. At least 3 years of experience with a workflow language (WDL, Snake-make), Docker/Singularity, and HPC. At least 4 years of experience with standard genomics bioinformatics tools (PLINK, GATK, etc). 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. Must demonstrate excellent communication skills, both oral and written, within the team and end users. Preferred Qualifications: Experience with the Glow framework for genomic variant ingestion to cloud/Spark/Hadoop is a big plus. 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 state Law on Salary Transparency in Job Advertisements. The salary range for the role is $81,325.15 - $100,000.00 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

Organization Overview Our Vertebrate Genome Laboratory conducts research and services for individual and large vertebrate genome projects such as the Vertebrate Genomes Project (VGP/G10K) that aims to sequence high-quality genomes for all 66,000 vertebrate species on the planet. https://vertebrategenomesproject.org/. Overview We seek a highly motivated individual with a strong background in Computer Science and Genomics to join the Bioinformatics team of the Vertebrate Genome Laboratory (www.vertebrategenomelab.org) at the Rockefeller University. This person will generate reference genomes of eukaryotic species as part of the Vertebrate Genomes Project (VGP, www.vertebrategenomesproject.org) and the Earth Biogenome Project (EBP, https://www.earthbiogenome.org/). In particular, the individual is expected to help achieve the following goals: • Work closely with the VGL data production and bioinformatics teams, and the broader international scientific community of the VGP, to actively generate draft high-quality genomes. • Help make the current pipeline, which is already heavily streamlined, fully automated, such that the sequencing data is automatically processed into draft assemblies along with QC, ready for manual curation. • Consistently improve the pipeline for genome assembly quality and efficiency, based on feedback from genome curators, incorporating novel data types, and adding or help in designing novel tools. Our current workflow involves: 1) in-house generation of a variety of long- (PacBio, Nanopore) and short- (Hi-C, Element, Illumina) read data; 2) in-house generation of reference-grade draft genome assemblies; 3) manual curation of the draft assemblies; 4) submission of the final, curated assemblies to the public archives. The individual will be integrated in step 2, and will be responsible to run, maintain, further develop, and improve the VGL genome assembly pipeline currently implemented in Galaxy (Lariviere et al. 2024 Nature Biotechnology DOI: 10.1038/s41587-023-02100-3). Responsibilities Responsibilities include: • Genome assembly • Genome assembly pipeline maintenance Qualifications The ideal candidate will have a sound knowledge of genomics, ideally with insights into genome assembly, genome curation and genome analysis. Required: • Master's degree required, Ph.D. preferred • Educational emphasis in computer science or computational biology • Strong programming skills, includin knowledge of computational data-analysis workflows (e.g. CWL) • Familiarity with Unix and HPC environments • The ability to work both independently and as part of a team Preferred: • Previous experience with Galaxy workflows is a plus • The ability to organize, prioritize and plan a diverse range of work to meet deadlines • An investigative and solution-orient mindset • Good communication skills • Skilled in working effectively within large national and international scientific consortia 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 $62,400.00/Yr. Compensation Range: Max USD $80,000.00/Yr.

Adjunct Faculty in Bioinformatics Open Rank - Natural Sciences FACULTY VACANCY ANNOUNCEMENT Founded in 1971 in Long Island City, Queens, LaGuardia Community College is one of seven community colleges of the City University of New York/CUNY. LaGuardia offers more than sixty associate degree and certificate programs, as well as dozens of workforce training, ESOL, GED, and pre-college programs. In 2023, LaGuardia served approximately 25,000 students. More than one-third of our degree-seeking students were born outside of the United States, coming to LaGuardia from 136 countries and speaking forty-three heritage languages. More than half are first-generation college students. Sixty-nine percent live in Queens; the rest live in Brooklyn and beyond. Approximately two-thirds of our degree students receive financial aid. Since forty-five percent of them identify as Hispanic, the US Department of Education has designated LaGuardia a Hispanic-Serving Institution. Please visit www.laguardia.edu to learn more. The Natural Sciences Department of LaGuardia Community College of the City University of New York invites applications for part-time faculty members to teach a one-semester Genomics & Bioinformatics (SCB207). SCB 207 is a computer-based interdisciplinary course that introduces the principles of genomics and bioinformatics. Topics include genomics science, computer-based data analysis, practical computer concepts for bioinformatics, and genome mining projects. This class meets in person every Thursday from 1:00 – 4:25 PM during the Spring I semester (3/6/25 to 6/16/25). The successful candidate will be required to perform teaching and guidance duties in the areas of expertise. This includes teaching, creating, administering, and grading assessments (quizzes, exams, lab reports), holding office hours, and providing student guidance. QUALIFICATIONS For Adjunct Assistant Professor, Adjunct Associate Professor and Adjunct full Professor: Ph.D. or Master’s degree in Biological Sciences, Bioinformatics, Computer Science, or a related field. OTHER QUALIFICATIONS • The ability to teach successfully, demonstrate scholarship or achievement, and cooperate with others for the institution's good. • Proficiency and active professional experience in the bioinformatic field or related field, as well as in mining and analyzing genome data. • Proficiency in basic computing and data analysis concepts using R and Python programming languages is preferred. • Teaching experience at the college level is highly desirable. COMPENSATION For Adjunct Assistant Professor: $100/hour For Adjunct Associate Professor: $108.33/hour For Adjunct Full Professor: $112.50/hour CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development. HOW TO APPLY From our job posting system, select "Apply Now", create or log in to a user account, and provide the requested information. If you are viewing this posting from outside our system, access the employment page on our web site and search for this vacancy using the Job ID or Title. Candidates should provide a CV/resume and statement of scholarly interests. CLOSING DATE February 9th, 2025 JOB SEARCH CATEGORY CUNY Job Posting: Faculty EQUAL EMPLOYMENT OPPORTUNITY CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer. Job ID 29642 Location LaGuardia Community College

Organization Overview Cancer remains a daunting problem despite decades of active research into its molecular causes. Such studies have predominantly focused on the earliest stages of cancer progression,such as the formation of a cancer or genes involved in the growth of the primary tumor. In humans afflicted by cancer,the primary tumor is typically surgically resected or eliminated by radiation. Vast numbers of patients,nonetheless,die of cancer as a result of metastasis or the spread of cancer cells from the primary tumor site to distal organs. This process is,in fact,the overwhelming cause of death from cancer,and its occurrence changes a patient's prognosis to incurable. Despite its vast clinical significance and inherently fascinating underlying biology,the metastatic program is poorly understood both at the molecular level and at the cellular/tissue micro-environment levels. Our laboratory employs a multi-disciplinary approach involving molecular,biochemical,computational,imaging,and clinical association methods to characterize the critical regulatory pathways that mediate the steps of this process. By implanting human cancer cells obtained from patients with breast or colon cancer into recipient mice,we study and interfere with the various stages of metastasis. By comparing human cancer cells that are highly metastatic to those that fail to metastasize,we have uncovered a set of small RNA molecules (microRNAs) that suppress metastasis. Our future work is aimed at gaining a better understanding of the mechanisms by which these microRNAs block metastasis. Our hope is that a better understanding of this process will enhance our therapeutic arsenal against it. Overview As a Bioinformatics Assistant II, you will be trained in the analysis and interpretation of next-generation sequencing (NGS) data, originating from mouse experiments of cancer metastasis as well as patients, under the guidance of postdoctoral scientists and bioinformaticians. Responsibilities Responsibilities include: • 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 • Assist and collaborate with internal and external researchers in interpretation of sequencing data • Other responsibilities, as assigned Qualifications Requirements: • Bachelor's degree is required; Master's degree or equivalent experience preferred • Team-oriented • Excellent written and verbal communication skills • Collaboration skills and an eagerness to learn • A working understanding of code and script Preferred: • Exposure to NGS data analysis preferred • Training in statistics or machine learning is a plus. 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 $55,000.00/Yr. Compensation Range: Max USD $65,000.00/Yr.

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 state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $71,000.00 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