Bioinformatics Jobs

Join a Legacy of Innovation 125 Years and Counting! Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. Job Summary: This role is part of Daiichi Sankyo Translational Science Oncology department and will participate in research towards utilizing digital and computational pathology approaches and related biomarker data for understanding drug mechanism of action, patient selection and patient enrichment strategies for programs across the clinical portfolio. The successful candidate for this position will provide technical and scientific leadership in conducting histopathology and digital & computational pathology-based biomarker data analysis in support of translational science goals for oncology programs. The primary datasets will be derived mostly from analysis of Daiichi Sankyo sponsored clinical trials as well as pre-clinical data and may require bringing in additional sources of information. S/he will contribute to the translational and precision medicine strategies by influencing methodologies, technologies and analysis utilized in translational research and deliver insights that will influence and drive clinical development decision-making. Besides global Bioinformatics teams, this role will require collaborating across functions and geographies with Translational Science Strategy leads, Clinical Pathology, Clinical Biomarkers and Biostats. Additionally, S/he will identify and interact with key external experts and collaborators and monitor progress toward goals of research programs. Responsibilities • Collaborate with translational scientists to develop translational study and analysis plans supporting biomarker research and development across our pipeline with focus on digital and computational pathology approaches, • Plan and deliver bioinformatics and correlative analyses to project teams in support of the translational science and digital and computational pathology goals., • Collaborate with the cross-functional stakeholders to shape our ecosystem both by improvements in data and analysis platforms as well as processes for data and analyses delivery. • Evaluate data resources and analysis methodologies, initiate or participate in collaborations to enhance bioinformatics and translational research capabilities globally at DS relating to digital and computational pathology. Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation. Education • PhD, MD or master’s degree in STEM or related areas required Experience: • 7 or more years with PhD or MD, 12 years with master’s degree required. • Experience in bioinformatics / computational biology required • Experience in oncology drug development at a biopharmaceutical company in Translational Sciences or Medicine preferred Competencies: • Expertise in correlative and integrative analyses using data from digital and computational pathology (IHC, H&E) and clinical outcomes data for informing patient selection and patient stratification approaches. Expertise in datasets and methods in areas such as spatial profiling, and digital and computational pathology. Knowledge of various bioinformatics and statistical methodologies utilized in biomarker research. • Experience in correlative analysis using data from genomics platforms (e.g. Gene panels, WGS/WES sequencing, RNA sequencing etc.) as well as other clinical biomarkers (e.g. IHC, Cytokine profiling, Flow cytometry etc.) and clinical outcomes data. • Hands on programming skills using R, Python or other commonly used scripting and programming languages in bioinformatics and developing dashboards to share results. Knowhow of clinical data formats and commonly utilized biomarker data formats for digital and computational pathology. • Excellent working knowledge of cancer biology, cancer genomics/genetics and related data resources and application of various omics and digital pathology technologies to understand disease and disease heterogeneity and its application in enabling translational research. • Excellent collaborative and communication skills in cross-functional setting Travel: 0-10% Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Job description: We are seeking a motivated Bioinformatics Scientist to join our cross-function team and support target identification and evaluation efforts. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of genetics data. Roles & Responsibilities: • Master's degree with 2+ years experience or PhD in quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). • Experience with genome-wide association studies, particularly fine mapping and QTL colocalization from GWAS summary data is a plus. • Familiarity with methods to prioritize genes per GWAS locus given multiple lines of evidence is a plus. • Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. • Demonstrated experience in the analysis and integration of NGS data. • Familiarity with the construction and execution of bioinformatics workflows. • Strong proficiency in R and/or Python programming for bioinformatics workflows. • Knowledge and proficiency in basic statistical concepts. • Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment. • Experience with code reproducibility, e.g. managing github repositories. • Prior research experience in studying immunological diseases areas is a plus. • Experience with Nextflow is a plus. Skills: • Experience with genome-wide association studies, particularly fine mapping and colocalization from GWAS summary data is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. • bility to critically evaluate experimental design, QC and suggest improvements. • Strong proficiency in R and/or Python programming for bioinformatics workflows • Experience working in HPC and cloud environment.

Description We are seeking a junior bioinformatician for the Tisch Cancer Institute Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead genomics, transcriptomics and epigenetics data analysis projects related to Cancer and Developmental biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of biostatistics and bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer institute and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of the histone variant MacroH2A in the regulation of chromatin organization in melanoma utilizing micro-C analysis, enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are working to develop a computational classifier for risk assessments from cancer patients’ biopsies, utilizing WES and ultra-low pass WGS and ML tools. We are seeking a highly motivated junior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with TCI investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects is a must. We feel that BiNGS presents a unique opportunity for junior bioinformaticians who seek to work with like-minded professionals to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; and their involvement in reducing racial bias in science through mentorship of URM in Science. Responsibilities • Implement bioinformatics pipelines and perform analysis for WES and WGS datasets. • Utilize existing pipelines for the analysis of bulk RNA-seq. • Integrate data across different datatypes and from publicly available resources (e.g., PCAWG, TCGA, ICGC and GTEx), with experimental data generated by PIs. for example; correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on. • Provide analyses and visualization for presentations and publications. • Participate in the implementation of new software tools to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements, identify available tools, implement and test. • 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 training to TCI investigators and trainees. Qualifications • B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline; M.S. preferred • 3 years experience required • Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++. Employer Description Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65000 - $87610 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Overview The Bioinformatics/Research Software Development group in the Lewis-Sigler Institute for Integrative Genomics (LSI) at Princeton University is hiring a Senior Research Software Development Manager, reporting to the Assistant Director of the Lewis-Sigler Institute for Integrative Genomics. The Bioinformatics/Research Software Development group provides computational research expertise to the faculty, staff, and students in the Lewis-Sigler Institute for Integrative Genomics. The Institute, housed in the Icahn Laboratory, offers a diverse, interdisciplinary intellectual environment with a wide range of research opportunities. The Research Computing team emphasizes collaboration, best practices in software engineering, and flexibility to accommodate the evolving requirements of researchers. The Senior Research Software Development Manager will lead a team of four Research Software Engineers, Bioinformatics specialists, and Database developers, who provide dedicated expertise to researchers to create efficient, scalable, and sustainable research software and services that enable advancements in research. The Senior Research Software Development Manager will have the opportunity to work directly with researchers and faculty to create tailored solutions for a diverse range of projects such as sequence assembly, single cell RNA-Seq, mass spectrometry, and microscopy image analysis. The Senior Research Software Development Manager will play a pivotal role in supporting the research community (Genomics and BioInformatics) in the LSI and will collaborate closely with faculty, researchers, and graduate students to understand their computational research needs and develop innovative solutions. Responsibilities Responsibilities will include: • Team Leadership: Manage and mentor a team of Research Software Engineers, guiding their professional development and ensuring the efficient delivery of projects. • Product Ownership: Represent the team and its efforts to researchers, and the requirements and strategy to developers, assuming responsibility for prioritization of tasks and requirements to keep efforts aligned with goals. • Technical Expertise: Provide technical guidance and expertise to the team, staying up-to-date with the latest advancements in sequencing data analysis and computational biology. • Collaboration: Foster strong working relationships with researchers and faculty, understanding their specific needs and translating them into effective software solutions. • Innovation: Encourage a culture of innovation within the team, exploring new technologies and approaches to address emerging research challenges. • Technical Consultation: Provide expert guidance and support to researchers on software best practices, coding standards, and algorithm optimization. • High-Performance Computing: Assist researchers in utilizing the institution's high-performance computing resources effectively for their computational tasks. • Workflow Automation: Create automated workflows to streamline research processes and improve data analysis efficiency. Qualifications Essential: • Bachelor's or Master's degree in Computer Science, Bioinformatics, or a related field. • 10+ years experience (e.g., graduate school, industry experience, open-source software development, etc.) • Strong programming skills in languages such as Python, R, or C++. • Demonstrated successes working in a collaborative software development environment as well as working independently. • Excellent problem-solving and analytical skills. • Ability to collaborate effectively with researchers from various scientific disciplines. • Experience managing development projects and teams. Preferred: • Experience with specific research domains, such as genomics, mass spectrometry, or data science. • Experience with high-performance computing environments and clusters. • Knowledge of data management principles and tools. • Familiarity with cloud computing platforms and services. • Contributions to open-source software projects. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS Standard Weekly Hours 36.25 Eligible for Overtime No Benefits Eligible Yes Probationary Period 180 days Essential Services Personnel (see policy for detail) No Physical Capacity Exam Required No Valid Driver’s License Required No Experience Level Director #LI-JJ1

Job Detailsnbowman2025-03-28T08:24:37+00:00 1137964_RR00100361 Bioinformatics Analyst * Must have experience with WGS – whole genome sequencing analysis * Job ID: 1137964_RR00100361 Facility: NYU Grossman School of Medicine (SOM) Position Type: Full-Time/Regular Shift: Day Department: Hospital Administration, NYU Grossman School of Medicine, Perlmutter CancerCtr-Research (S1468), Apply for This Position Apply as Current Employee 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: • Help our team realize the promise of whole genome oncology. • Develop, optimize, and implement computational algorithms and software tools for the analysis of whole genome sequencing (WGS) and other high-throughput cancer genomics data. • Work with the Perlmutter Cancer Center cancer genomics team to integrate and analyze diverse types of cancer genomics data, including short- and long-read sequencing, optical mapping, and single-cell sequencing. • Adapt and enhance cancer genomics data analysis pipelines in a rapidly evolving research environment. • Design, implement, and execute novel algorithms to support lab-centered and collaborative research projects in cancer genomics and cancer biology. • Establish, maintain, and improve standardized pipelines for routine cancer genomics data analyses, ensuring efficiency, reproducibility, and scalability. • Perform robust data quality control, validation, and benchmarking to ensure the accuracy and reliability of cancer genomics results. • Develop expertise in cutting-edge sequencing technologies and computational approaches, particularly those related to WGS, 3D chromatin structure, structural variation analysis, and cancer mutation profiling. • Collaborate closely with bench scientists to understand their research needs in cancer biology and translate them into computational solutions. • Assist in preparing clear and concise presentations of computational results for internal and external stakeholders. • Stay up to date with emerging computational and genomics methodologies, contributing to the innovation and advancement of cancer genomic data analysis. • Other duties as assigned. 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. Preferred Qualifications: • B.S./M.S. (3-4 year relevant experience, publications, or a PhD preferred) in computational biology, bioinformatics, mathematics, biological sciences, computer science, or a related discipline. • Strong experience with whole genome sequencing (WGS) analysis, including variant calling, structural variation detection, and genome assembly, particularly in cancer genomics applications. • Knowledge of cancer genomics and cancer biology, including key molecular mechanisms and pathways involved in cancer development and progression. • Strong background in mathematics or other quantitative sciences, including linear algebra, physics, algorithms, statistics, and/or machine learning preferred. • Proficiency in Unix/Linux environments, including experience with high-performance computing (HPC) systems. • Strong programming skill in R preferred. Strong programming skills in scripting languages such as Python. • Familiarity with modern bioinformatics tools, databases, and frameworks for cancer genome analysis. • Demonstrated ability to develop and optimize computational algorithms and software pipelines for cancer genomics applications. • Experience with data visualization and presentation of cancer genomics results. • Excellent problem-solving skills and ability to work independently and collaboratively in a multidisciplinary team. • Enthusiasm, energy, and ambition in tackling tough problems and overcoming obstacles. • Strong 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 Apply for This Position Apply as Current Employee Salaries shown on independent jobs related websites reflect market averages and do not represent information obtained directly from NYU Langone. We invite and encourage each candidate to discuss salary/hourly specifics during the application and hiring process. Share this job: Save this job View Job Cart Related Job Listings Other Jobs That May Interest You • Program Manager - Medicine-Cardio DivisionHospital Administration New York, NY • Per Diem Associate Research Coordinator - CSTARHospital Administration New York, NY • Program AssociateHospital Administration New York, NY About NYU Langone Health Be Where Everyone Is Dedicated to Exceptional Care NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s diverse and inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients. Our Hiring Process Joining Our Team Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine. Step 1 Apply Online The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed. Step 2 Schedule Interviews If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews. Step 3 Receive Offer If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date. Step 4 Training & Orientation You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager. Our Awards Reflect a Commitment to Excellence at Every Level Hear From Our Team • Joseph O. • Jane F. • Noa L. • Victoria L. • Nazneen H. • Joseph O. • Joseph O. Refrigeration Engineer Helper In my role, I provide a favorable atmosphere for our patients, visitors, employees, and students by ensuring their safety against fire hazards and by maintaining conducive temperatures throughout the seasons. I'm proud to work alongside my teammates to provide excellent service at a world-class organization that offers great opportunities to deserving candidates. Jan 2018 Security Officer Nov 2022 Refrigeration Engineer Helper • Jane F. • Jane F. Dental Assistant NYU Langone Health is a great place to work. I enjoy working with my colleagues as a team. NYU Langone offers training programs that allow us to grow within the organization. I feel valued as an employee. Feb 2009 Senior Nursing Assistant – Stroke Unit MAR 2022 Dental Assistant Trainee FEB 2023 Dental Assistant • Noa L. • Noa L. Supervisor, Patient Access Center When I first began working at NYU Langone Health, I felt a sense of belonging and realized this is where I want to spend the rest of my professional career. Since joining, I've pushed myself to do well in every position I have and to advance. I not only enjoy my current role, but I also enjoy learning about new topics. I am excited to explore what else NYU Langone has to offer me in my career. Nov 2021 Access Center Representative I Aug 2022 Access Center Representative II Oct 2023 Lead Access Center Representative Sept 2024 Supervisor, Patient Access Center • Victoria L. • Victoria L. Senior Social Worker Growing up in New York City, I was aware of the prestige that NYU Langone Health held, so I decided to pursue a career at the premier health system after graduation. I enjoy helping, treating and supporting everyday New Yorkers and feeling like I make a difference. Working here, I feel like I am able to show up as my authentic self to assist our patient community. Nov 2016 Social Worker Jul 2022 Senior Social Worker • Nazneen H. • I was fortunate to receive firsthand training from some of the founding team members of my department. This made my onboarding experience invaluable, and now I will get to pass on my knowledge and experience to future new hires within the department and pay it forward. The collaborative spirit at NYU Langone Health has created an excellent work culture where I can work alongside colleagues who share our same company vision to serve, teach and discover. Nazneen H. Clinical Charge Nurse Auditor in Revenue Management Initiatives Frequently Asked Questions What are the employment options offered at NYU Langone? We offer different employment options to fit every schedule and talent area of interest. These options include full time, part time, per diem, internship, and temporary. What if the opportunity I’m looking for is not available? We are growing rapidly and are always looking for exceptional people to join our organization. New positions are posted to our careers site daily. How often are your jobs updated? We update our job postings daily. How do I apply for a job at NYU Langone? All applications should be submitted by clicking the “Apply for This Position” button on any job listing. How do I apply for a temporary position? To search and apply for our available temporary opportunities, use the Job Search function, which is accessible on the home page and other careers site pages. NYU Langone has various temporary opportunities, including our In-House Temporary Staffing Program. The Program is designed to place highly skilled individuals in temporary assignments throughout NYU Langone to help our departments meet their commitment to quality patient care, research, and operations. These individuals are temporary employees within NYU Langone and adhere to all NYU Langone policies and guidelines. How do I apply for an internship opportunity? Paid internship opportunities can be found on our careers site by searching via the Job Search function. Unpaid internships are organized by department. You can explore our departments at NYU Langone to find an internship opportunity that suits your educational endeavors. Additionally, please visit the internship page to learn more about our internship opportunities. Do I need an email address to apply for positions at NYU Langone? Yes, an email address is required to complete the online application. You must have an active email account, as you will receive email notifications once your application has been received. What format should my resume be in? In order for your resume to be submitted successfully, it should be in one of the following supported formats: .pdf, .txt, .rtf, .doc, .docx, or .html. How will I know if my application was successfully submitted? You will receive an email confirmation after you have completed the online application process. To ensure that the information you submitted was completed accurately, you are encouraged to log in to your account and review your information. You will also receive an email confirmation after successfully applying for a specific position. To check the status of your application, please click Check Application Status . Current employees can check application status on the Steps for Success Career Portal .

Division/Program Summary Description: The Division of Disease Control’s mission is to safeguard the health of New Yorkers through identification, surveillance, treatment, control, and prevention of infectious diseases, which is achieved through varied and interrelated endeavors of its seven Bureaus. The NYC Public Health Laboratory (PHL) is one of the largest local public health laboratories in the United States where employees contribute to the health and safety of NYC residents by providing clinical and environmental laboratory testing services. PHL is committed to its mission to safeguard the health of all NYC residents by providing quality laboratory testing services that support the priorities of DOHMH and its community partners to prevent and respond to clinical and environmental public health concerns. The Public Health Laboratory (PHL) seeks a qualified candidate to serve as a Bioinformatics Scientist. This position will work primarily in PHL’s Bioinformatics Unit. This position will develop and maintain analysis pipelines as well as perform bioinformatics analyses for high throughput sequencing (HTS) data. It will play an integral role in genomics analysis aimed at responding to public health threats, including but not limited to COVID-19, vaccine preventable diseases, HIV, Legionella as well as respiratory, foodborne, and waterborne disease outbreaks. This is an excellent opportunity to join our multidisciplinary team, and collaborate with local, state, federal, and academic partners. Job Duties and Responsibilities: Conducting bioinformatics analyses for sequencing data that support public health efforts Developing or improving tools related to pathogen identification, outbreak tracking, mapping drug resistance determinants, variant analysis, genome annotation and phylogenetics, genomics data visualization Strengthening the application of genomic tools to support public health diagnostic testing for pathogens from clinical and environmental samples (e.g., wastewater). Conducting literature reviews and stay up to date with cutting edge scientific and epidemiological research and tools. Mentoring and cross-training staff or research fellows at PHL Collaborating with other team members and partners on genomics data management (e.g., SQL databases, public repository uploads, other datasets). Participating in agency wide WGS journal club and genomic data exchange working groups. Developing tools (e.g., dashboards) or strategies (e.g., Docker-based pipelines) to improve accessibility of bioinformatics analyses to non-bioinformaticians (e.g., epidemiologists, virologists, microbiologists). Representing the agency in meetings and conferences. Drafting written protocols and maintain accurate records of software tools design. Writing original manuscripts for publication based on data analyses and product development. Maintaining quality assurance and control of HTS data generated by PHL to ensure reproducibility and accuracy of downstream bioinformatics analyses. This includes writing and designing SOPs and validation/verification protocols. Using best practices for code development, and documentation. Leading and participating in presentations and workshops with Quality Management (QM) at PHL to improve understanding and tracking of sequencing data and analyses quality control measures, data security and data management using resources from APHL, ASM, and others. Preferred Skills: Strong skills in Linux command line and BASH shell scripting. Proficient in R, Python, C, Java, or other programming languages. Experience in SQL. Experience in utilizing multi-core server resources, automating processes, containerization, and workflow languages. Experience with common tools for Next Generation Sequencing Analysis (NGSA), including reference-based analysis and de novo sequencing analysis (knowledge of open source and commercial microbial NGS analysis pipelines) and genome annotation. Demonstrated work in public health genomics research. An MS or PhD degree in the biological sciences, evolutionary biology, genomics, or related fields. Strong analytical and organizational skills; Excellent oral, inter-personal and written communication skills Why you should work for us: - Loan Forgiveness: As a prospective employee of the City of New York, you may be eligible for federal/state loan forgiveness and repayment assistance programs that lessen your payments or even fully forgive your full balance. For more information, please visit the U.S. Department of Education’s website (https://studentaid.gov/pslf/) - Benefits: City employees are entitled to unmatched benefits such as: o a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment. o additional health, fitness, and financial benefits may be available based on the position’s associated union/benefit fund. o a public sector defined benefit pension plan with steady monthly payments in retirement. o a tax-deferred savings program and o a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers. - Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home. - Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! Commitment to Equity: The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 Minimum Qualifications 1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Residency Requirement New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Part-time Bioinformatics Analyst Back Apply Share • Requisition no: 538199 • Work type: Part Time • Location: Medical Center • School/Department: Systems Biology • Grade: Grade 103 • Categories: Information Technology • Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular • End Date if Temporary: • Hours Per Week: 20 • Standard Work Schedule: • Building: • Salary Range: $35,000 - $35,000 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 The Department of Systems Biology at Columbia University Irving Medical Center is seeking to hire a part-time Bioinformatics Analyst to work in Dr. Yufeng Shen's lab. The Bioinformatics Analyst will participate in analysis of large-scale genomic data in genetic studies of human conditions and diseases. Responsibilities • Participate in computational and statistical model development for predicting genetic effect of genomic variation. • Participate in computational analysis of large-scale genomic data to identify risk variants and genes in human conditions and diseases, such as autism and neurodevelopmental disorders. • Maintain and improve bioinformatics pipelines for genomic variants annotation. Minimum Qualifications • Bachelor's degree or equivalent in education and experience Preferred Qualifications • Bachelor's degree in Science or Engineering • At least one year of experience in projects with data science or machine learning as a core component • Proficient in Python, git, and modern data science frameworks Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents. Applications open: Aug 08 2023 Eastern Daylight Time Applications close: Back Apply Share Whatsapp Facebook LinkedIn Email App

POSITION RESPONSIBILITIES We are seeking a highly motivated Bioinformatics Analyst to join the research group of Dr. Robert Burk at Albert Einstein College of Medicine. This role is critical to supporting our ongoing molecular epidemiology and microbiome research, with a strong emphasis on human papillomavirus (HPV)-related neoplasia and the human microbiome (gut, oral, and cervicovaginal). The successful candidate will contribute to projects that have been published in high-impact journals such as Nature Communications and CELL. The ideal candidate will have a strong background in bioinformatics, epidemiology, computational biology, or a related discipline and possess demonstrated experience processing next-generation sequencing (NGS) data. This position provides an opportunity to work at the intersection of genomics, microbiome research, and epidemiology, with direct implications for cancer prevention and infectious disease research. Key Responsibilities: • NGS Data Analysis: Process and analyze high-throughput sequencing data (e.g., amplicon sequencing, bisulfite sequencing, metagenomics, viral integration) and develop bioinformatics pipelines. • Epidemiological Data Integration: Apply bioinformatics methodologies to study host-pathogen interactions, microbial communities, and genomic variations in large-scale epidemiological cohorts. • Phylogenetics & Evolutionary Analysis: Perform phylogenetic tree construction and genomic epidemiology studies for HPV and other microbiome-related investigations. • Data Management & Security: Organize, manage, and curate sequencing datasets, ensuring compliance with clinical data protection and security best practices. • Computational & Statistical Analysis: Utilize R, Python, or other computational tools to perform statistical analyses, epidemiological modeling, and data visualization. • Cross-Disciplinary Collaboration: Work closely with molecular biologists, epidemiologists, and computational scientists to integrate findings into broader translational research efforts. • Reporting & Presentation: Present findings in lab meetings, scientific conferences, and high-impact publications. • Grant & Manuscript Preparation: Contribute to research proposals and manuscript writing to support ongoing and new projects. QUALIFICATIONS • Education: Bachelor’s degree required; Master’s or Ph.D. in bioinformatics, computational biology, epidemiology, or related fields preferred. • Technical Skills: • Proficiency in R, Python, or similar languages for data analysis. • Experience with NGS data processing, microbiome bioinformatics (16S, ITS1, shotgun metagenomics), and HPV genomics. • Familiarity with machine learning/statistical modeling techniques in epidemiology is a plus. • Problem-Solving & Innovation: Strong analytical and critical thinking skills with a proactive approach to problem-solving in bioinformatics and epidemiology. • Communication & Collaboration: Ability to work in a highly interdisciplinary team and clearly communicate complex findings. Why Join Us? • Work on cutting-edge molecular epidemiology and microbiome research with direct public health impact. • Collaborate with leading experts in bioinformatics, genomics, and epidemiology. • Be part of projects published in top-tier journals such as Nature Communications and CELL. • Career development opportunities, including conference participation, grant writing experience, and authorship on high-impact publications. If you are a bioinformatics scientist eager to apply computational approaches to epidemiological and microbiome research, we encourage you to apply! Minimum Salary Range USD $58,500.00/Yr. Maximum Salary Range USD $65,000.00/Yr.

Haystack Oncology at Quest Diagnostics is seeking to grow its laboratory informatics team as we expand our assay portfolio and introduce cutting edge diagnostic technology to the public. As a Bioinformatics Engineer - LIMS, you will be responsible for developing, configuring, maintaining, and optimizing key functionality within our cloud-based enterprise Laboratory Information Management System (LIMS) that manages the generation, analysis, quality control, and interpretation of clinical data produced by diagnostic NGS assays. The ideal candidate will possess technical development experience within a LIMS platform, a rounded understanding of clinical laboratory processes and FDA regulations, strong analytical and problem-solving skills and a collaborative and continuous improvement mindset. This is a salaried position and weekend work may be required to satisfy project timelines and to support end-users. This position can work 100% remote and may require up to 10% travel as needed. Professional must be located in the US and is expected to be available during normal business hours in the Eastern and Central US time zones in order to provide support for laboratory sites in these regions. • Work extensively within our cloud-based StarLIMS system to develop and configure frontend and backend solutions that further automate our scientific and technical processes. • Develop new or modify existing code using StarLIMS scripting languages, HTML5, Jscript, .NET libraries, and Python following industry best practices. • Develop scientific reports using SQL, Crystal Reports, and StarLIMS QBE. • Gather and analyze requirements provided by cross functional stakeholders and translate into functional requirements that allow for the development of technical solutions. • Manage workload in Jira and provide timely and accurate status updates on project-based issue tickets that are either assigned or self-assigned. • Document system configurations, procedures, and any changes for reference and compliance purposes. • Both individually and as a part of a team, troubleshoot, debug, and test technical solutions • Provide ongoing support and training to laboratory staff and stakeholders on LIMS usage and best practices. • Respectfully and clearly communicate in English both textually and verbally with stakeholders. • Other duties, as assigned, that will contribute to the success of our company and the data systems we deploy. • Bachelors' or greater degree in Bioinformatics, Computer Science or other STEM-related disciplines. • Minimum 3 years of experience in the configuration and customization of an enterprise LIMS system is required. Experience with StarLIMS is preferred. • Minimum 3 years of experience in the development of custom code using scripting and/or programming languages. • Minimum 3 years of experience with relational databases and reporting tools, including Crystal Reports. • Experience with system integration techniques including REST APIs, web services, and middleware. • Strong understanding of laboratory workflows, data management, and compliance standards. • Experience with laboratory testing and scientific equipment. • Professional experience with a bug/issue tracking system. • Understanding of software design controls and SDLC. • Ability to work effectively with minimal direct supervision in a multiple discipline environment. • Ability to manage multiple tasks and assignments simultaneously. • Ability to adapt quickly to changing priorities in a fast-paced environment. • Excellent analytical, troubleshooting and problem-solving abilities. Proficient in diagnosing and providing solutions for bugs and issues. • Excellent communication and interpersonal skills, both verbal and written in English, with the ability to translate technical information for non-technical stakeholders. • Certificates in IT related topics are a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

Position Summary: Rutgers, The State University of New Jersey is seeking a Bioinformatics Specialist within the Rutgers Cancer Institute-Bioinformatics Department. The primary role of the Bioinformatic Specialist in the Biomedical Informatics Shared Resource ( BISR ) is to provide bioinformatics support for gene expression, spatial transcriptomics, molecular responsiveness testing for cell therapy, Ncounter Nanostring, shotgun metagenomic sequencing, and metabolism-related pathway analysis. The Bioinformatics Specialist is expected to manage requests for all Cancer Institute scientific projects that require bioinformatics support in the areas of genomics, transcriptomics, metagenomics, and metabolomics pathways and charge for these services through the BISR recharge mechanism. Among the key duties for this position are the following: • 10X single-cell RNA sequencing : a. Perform quality checks (QC30 value), determine the cut-off value for rarely expressed genes, and perform FDR-analysis. b. Knowledge of script language (Python, R, Linux, etc.) that enables the development of pipelines for individual projects. c. Understand and interpret borderline QC data. d. Familiarity with scripts that allow for the visual representation of data, including but not limited to river plots, clonal analysis, Partek analysis, dendrograms, heat maps, circos, etc. e. TCR/BCR sequencing, including the determination of clonality. • 10X Visium HD spatial Transcriptomics: a. Runs sequencing alignments with single-cell images using cloud-based or LINUX platforms. b. Generates and prepares data in an easy-to-understand format, such as functional and phenotypic characteristics of cells present in the tissue section. • Molecular Responsiveness testing (MRT- Molecular responsiveness testing for Cell Therapy-clinical samples). Develops, tests, and runs new pipelines on existing NCBI or other databases to detect clonal expansion, single nucleotide polymorphisms, mutations, and HLA-type and analyze tumor cell antigen presentation, T cell function, apoptosis, and inflammatory pathway. The Bioinformatics Specialist should also be efficient in the graphical presentation of data and perform statistical analysis of data, mainly multivariate analysis. • Ncounter Nanostring assays Understands the sufficiency of reads obtained, the false discovery rate, and how to avoid it in analysis and data presentation. Generates graphical data sets and perform data comparisons among groups. • Metabolomics: a. Understands metabolic pathways, biochemistry fundamentals, and how metabolites are generated and processed in human body. b. Knowledge of databases that store metabolite information (e.g., HMDB, KEGG) and experience integrating metabolomics with other omics data. c. Maintains familiarity with software and tools like MetaboAnalyst and others for analyzing metabolomics datasets, including targeted and untargeted metabolomics. d. Works with pathway enrichment analysis tools like KEGG Mapper, or IPA for identifying pathways associated with metabolomic signatures. e. Maintains strong understanding of statistical methods for high-dimensional data, including multivariate analysis linear models, and familiarity with machine learning approaches (supervised and unsupervised) that are often used in metabolomics for biomarker discovery and classification f. Familiarity with techniques for adjusting for potential confounders in metabolomics studies (e.g., host factors, batch effects). Minimum Education and Experience: • Master's Degree in Biology, Computational Biology and/or Computer Science or other related field. • A minimum of two (2) years' work/research experience in bioinformatics, computer science, biology, biochemistry or similar. • Equivalent education, experience and/or training may be substituted for the degree requirement. City: New Brunswick State: NJ Physical Demands and Work Environment: PHYSICAL DEMANDS: • Standing, sitting, walking, talking and hearing. • No special vision requirements. • Lifting up to 25 lbs. WORK ENVIRONMENT: • Flexible Work Arrangement possible per Rutgers University policies. • Office environment. Moderate noise. Posting Number: 25ST0860