Bioinformatics Jobs

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.

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.

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed. Responsibilities As a Statistical Programmer, the candidate will support Mayo Clinic research by providing high-value analytical collaborations in the form of data manipulations, analysis and reporting. Current Statistical Programmer needs are focused on supporting bioinformatics research initiatives. Key roles and responsibilities include the following: • Interact and collaborate within multidisciplinary teams, under the direction of project team leads • Familiarity with programming languages and techniques (e.g., R, python, bash scripting) • Familiarity with high performance and cloud computing environments • Contribute to project deliverables by critically reviewing and preparing data for data processing, analysis, and/or summarization • Demonstrate strengths in organization, documentation, logical and systematic thinking, written and oral communication • Perform tasks with strong problem-solving skills, with high attention to detail focusing on delivering high quality results • Manage multiple tasks with concurrent deadlines • Work independently and remotely as well as in a team environment • Seek educational opportunities and share knowledge within teams to enhance professional development Qualifications Note: A complete application includes a cover letter, resume, and academic transcripts. A minimum of a Bachelor’s degree with a major in bioinformatics, computer science, or related quantitative degrees is required. Demonstrated ability to work independently and in a team environment is essential. Preferred qualifications include applied experience and/or coursework in programming (e.g., R, python), bioinformatics, and data analysis; commitment to customer service; basic knowledge of human physiology, genetics, and medical terminology; interest in professional growth and continuing education; and a GPA of 3.0 or greater. Visa sponsorship is not available for this position; must be a US citizen, refugee, or asylee. Exemption Status Exempt Compensation Detail $64,729.60 - $93,995.20 / year; Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday-Friday, 8:00am-5:00pm (with some flexibility) Weekend Schedule As needed International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Affirmative Action and Equal Opportunity Employer As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available. Recruiter Stephanie Baird

Position Description The Cold Spring Harbor Laboratory (CSHL) Cancer Center seeks a highly motivated and collaborative scientist to assist in genomic sequence data analysis and integrating novel bioinformatics tools for the Bioinformatics Shared Resource (BSR). CSHL is renowned for advancing cancer research through genomics approach which promotes better understanding of cancer development and its potential therapeutics. The successful candidate will directly report to the Manager of the BSR, and will have opportunities to develop expertise in highly-demanded bioinformatics pipelines, engage in latest sequencing technology analysis, collaborate with experts in basic cancer research/therapeutics, and join strong community of computational scientists with AI background. Position Responsibilities The BSR collaborates with CSHL scientists on projects related to cancer, neural circuitry, evolution, and plant biology. Recent projects include: • Designing new models of pancreatic cancer for diagnostic/treatments in pre-clinical and clinical setting • Identifying potential non-coding RNAs as biomarkers and targeted therapy in breast and brain cancers • Developing cutting-edge technologies, including long-read, single-cell sequencing, and spatial genomics Position Requirements Education: B.S in a bioinformatics-related field (e.g., Bioinformatics, Biology, Computational Biology, Computer Science, Data Science) with a strong background in basic biology and computational methods. Skills and experience: • The candidate must be fluent in one or more programming languages (Python, R, Perl, etc) and comfortable using UNIX-based high-performance computer clusters. • The candidate must have minimum of 1 year experience working with one of standard sequencing pipelines including RNA-seq, ATAC-seq, or ChIP-seq. • The candidate with biostatistics and good communication skills in a non-computational biology setting is highly preferred. Additional desirable skills include familiarity with: database and web server management. Supplemental Information How to Apply: Come join our team, and we’ll match your excitement for bioinformatics with our interest in developing best practices for advancing diverse biological disciplines. Please submit an online application here: Computational Science Analyst I - Bioinformatics Shared Resource Position 1208. We look forward to reviewing your application. Environment Cold Spring Harbor Laboratory is a world-renowned biomedical research institution in New York. It has shaped contemporary biomedical research and is the home of eight Nobel Prize laureates. Cold Spring Harbor Laboratory provides a highly dynamic and interactive research environment and also a unique opportunity of timely exposure to advances in various biomedical research fields and of interaction with a broad range of researchers from all over the world through its renowned Meetings and Courses program. We believe that science is for everyone. We have had researchers with a variety of backgrounds and believe in the importance of diversity, equity, and inclusion. Compensation and Benefits Our employees are compensated in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our CSHL Benefits sites to learn more. The salary range for this role is $67,600.00 - $78,000.00. The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a base salary and/or rate, several factors may be considered as applicable (e.g., years of relevant experience, education, credentials, and internal equity). CSHL is an EO/AA Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status. VEVRAA Federal Contractor

Pay Range $118,800.00-$196,200.00 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: Join our team as a Bioinformatics Software Engineer for the Computational Oncology team at the Olayan Center for Cancer Vaccines . This role is integral to MSK's immuno-oncology transformation, where you will collaborate with software and data engineers, computational biologists, clinicians, and molecular biologists. In this position, you will analyze, visualize, and interpret genomic data to inform treatment decisions and facilitate patient enrollment in clinical trials for therapeutic cancer vaccines. Utilizing ultra-sensitive DNA sequencing technologies, you will help detect genetic alterations in patient tumor samples, which are crucial for guiding vaccine design and development. As a Bioinformatics Software Engineer, you will implement software development best practices in a collaborative, team-oriented environment, contributing to software design, implementation, testing, and documentation. Key Responsibilities: * Implement best practices in software development, including code versioning, testing, and deployment.* Participate in technical discussions, including code reviews and build/release management.* Collaborate with data architects to design and develop software and data architecture.* Gather and evaluate user requirements in partnership with product managers and engineers.* Design, develop, and support innovative multi-tiered full-stack software systems for research.* Create and maintain robust, available, and reliable APIs.* Contribute to containerization efforts and develop effective CI/CD pipelines. Key Qualifications: * Masters in computer science or a related field with 2+ years of experience, or a PhD (preferred).* Experience in full stack development with technologies such as Python/Java, Flask/Spring/Django, MySQL/MongoDB, and ReactJS/AngularJS/Node.js.* Experience with automated testing suites and CI/CD tools like GitLab and Jenkins. Core Skills: * Knowledge of messaging systems like Apache Kafka, RabbitMQ, or ZeroMQ is a plus.* Understanding of Common Workflow Language (CWL) is beneficial.* Experience with scalable system architecture in cloud or on-premises environments (e.g., Kubernetes) is a plus.* Familiarity with containerization using Docker and UI Design is a plus.* Resilience and creativity in overcoming challenges. Additional Information: * Location: 323 East 61 Street (Macklowe)* Schedule: Hybrid 4 days onsite #LI-Hybrid Pay Range $118,800.00-$196,200.00 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.

The Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization that is dedicated to the advancement of the health and well-being of all New Yorkers. To this end, in partnership with the New York City Department of Health and Mental Hygiene (DOHMH), FPHNYC incubates innovative public health initiatives implemented by DOHMH to advance community health throughout the city. It facilitates partnerships, often new and unconventional, between the government and the private sector to develop, test, and launch new initiatives. These collaborations speed the execution of demonstration projects, effect expansion of successful pilot programs, and support rapid implementation to meet the public health needs of individuals, families, and communities across New York City. Program Overview The Public Health Laboratory (PHL) mission is to ensure the health of all New York City (NYC) residents by providing quality laboratory testing services that address the needs of the NYC DOHMH and its community partners as they respond to clinical and environmental public health concerns. Position Overview This position will serve as a Bioinformatics analyst & coordinator at the PHL and be involved with sequencing and data management activities within the bureau. Responsibilities • Support onboarding pipelines & data management for current and emerging pathogens such as Tuberculosis, Carbapenem-resistant organisms, and other pathogens. This requires strong skills in BASH shell scripting and R. Python and SQL are good to have skills. • Manage the packaging and publishing of genomic sequences to public repositories such as NCBI and GISAID. • Lead and/or support the data unit in maintaining meta-data datasets for genomic sequences. • Coordinate the implementation and enhancements of high throughput sequencing and bioinformatics projects. • Participate in analytical activities as needed to support outbreak investigations and routine surveillance. • Perform research to identify and implement new analytical tools and visualization methods. • Assist with progress reports to ensure projects run smoothly. • Liaise between units and sections at PHL to identify, prioritize, and finalize goals for pathogen sequencing. • Lead efforts to improve sustainable data management and tracking across multiple units and bureaus. • Communicate effectively with lab technologists and analysts as well as internal and external partners. • Evaluate data, prepare reports, maintain records, and assist in the coordination of research efforts of the Agency. • Maintain and participate in a quality control and assurance program as required by job functions and title assignments in the laboratory. • Recognize, troubleshoot, and initiate corrective action for problems in a timely manner. • Participate in writing original manuscripts for publication based on data analyses. QUALIFICATIONS • Master’s degree in Biological science or Bioinformatics. • Knowledge of biology, high throughput sequencing, and bioinformatics are highly desired. • Strong verbal and written communication skills. Ability to work well within a management team environment. • Excellent project management skills and familiarity with project management tools. • Excellent interpersonal communication skills. SALARY • Salary range is $90,000 to $95,000 WORK SCHEDULE 9:00 am – 5:00 pm Monday through Friday In-office Benefits At a Glance FPHNYC offers a comprehensive benefits package • Generous Paid Time Off (PTO) policy • Medical, dental, and life insurance with low or no employee contribution • A retirement savings plan with generous employer contribution • Flexible spending medical and commuter benefits plan • Meaningful work at an organization striving to advance health equity and social justice RESIDENCY REQUIREMENT You must live in New York City Tri-state area (NY, NJ, CT) in order to be considered for a position at FPHNYC. TO APPLY To apply, upload Resume, including how your experience relates to this position. Applicants who best match the position needs will be contacted. The Fund for Public Health in New York City is an Equal Opportunity Employer and encourages a diverse pool of candidates to apply. Apply Now

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.

Overview: The Bioinformatics Pipeline Engineer will work as part of the New York Center for Rare Diseases (NYCRD) at Montefiore-Einstein. They will work closely with the Variant Interpretation Scientist to develop, implement, maintain and upgrade the software needed to analyse genomic data, using computationally efficient and secure pipelines within a local high-performance computing or remote cloud architecture. While current short-read sequencing technology will be part of their responsibility, they will focus innovation on long-read sequencing data, and on the incorporation of Human Phenotype Ontology (HPO) terms in the diagnostic process. Towards the latter goal, they will maintain and further develop our GenomeDiver software and interface, and work with the team from the Center for Health Data Innovations (CHDI) at Montefiore-Einstein on the ingestion of HPO terms mined using Natural Language Processing from patient notes in the electronic health record system. The goal will be to discover the genetic cause of the patient’s rare disease, working in an innovation environment with internal and external colleagues committed to improving rare disease diagnostics and promoting equity in diagnostics in individuals of all genetic ancestries. The position requires being on-site but with flexibility to build a hybrid model once the NYCRD infrastructure is developed. Requirements • Bachelor's degree required (advanced degree such as an Master's Degree or a doctoral MD or PhD degree strongly advantageous) • At least 3 years of relevant experience required • Python or R basic competency • SQL basic competency • Scala/Java experience advantageous • Javascript and Web Development experience a positive • Experience in building, maintaining, and troubleshooting analytical workflows for massively-parallel sequencing data in high-performance computing and cloud environments. Department: Pediatrics Bargaining Unit: Non Union Campus: CHAM Employment Status: Regular Full-Time Address: 1300 Morris Park Avenue, Bronx Shift: Day Scheduled Hours: 8:30 AM-5 PM Req ID: 222002 Salary Range/Pay Rate: $93,750.00 - $125,000.00 For positions that have only a rate listed, the displayed rate is the hiring rate but could be subject to change based on shift differential, experience, education or other relevant factors. To learn more about the “Montefiore Difference” – who we are at Montefiore and all that we have to offer our associates, please click here. Diversity, equity and inclusion are core values of Montefiore. We are committed to recruiting and creating an environment in which associates feel empowered to thrive and be their authentic selves through our inclusive culture. We welcome your interest and invite you to join us. Montefiore is an equal employment opportunity employer. Montefiore will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law. N/A

• Job Type: Officer of Administration • Regular/Temporary: Regular • Hours Per Week: 35 • Salary Range: $85,000 - $95,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are seeking a highly motivated bioinformatician to join our innovative research team at the Center for Precision Medicine and Genomics (CPMG). Our mission is to revolutionize healthcare through the integration of personalized medicine into clinical practice. We collaborate closely with clinicians, research scientists, and genetic counselors to drive groundbreaking research and translate genomic discoveries into improved patient outcomes. The ideal candidate will be a skilled bioinformatician with a passion for leveraging genomic data to address complex biomedical challenges. You will contribute to a dynamic, interdisciplinary environment and collaborate with researchers from Columbia University and beyond on a variety of national and international projects. This position offers the opportunity to make a significant impact on the field of precision medicine. Responsibilities • Bioinformatics Analysis (40%): Provide comprehensive bioinformatics support for genomic data analysis, including sequence analysis, pipeline optimization, and data management. Utilize both cloud-based and on-premise computational resources (e.g., exome, genome, RNAseq). Collaborate with team members to ensure efficient data access, analysis, and interpretation. • Communication and Dissemination (20%): Effectively communicate complex bioinformatics findings to both technical and non-technical audiences through presentations, reports, and publications. Collaborate with researchers from diverse backgrounds to translate bioinformatics insights into actionable knowledge. • Workflow Development (20%): Design, develop, and optimize bioinformatics workflows and pipelines to efficiently process and analyze large-scale genomic datasets. Explore innovative approaches to data visualization, exploration, and mining. • Mentorship and Collaboration (20%): Mentor junior team members, including students and post-docs, in bioinformatics techniques and research methodologies. Collaborate with researchers across disciplines to drive successful research projects and grant applications. • Perform additional related duties and responsibilities as needed. Minimum Qualifications • Bachelor's degree in computer science, bioinformatics, or a related field with at least four years of relevant experience. • Master's or Doctoral degree in related field would substitute for experience. • Proficiency in programming languages such as R, Python, and Bash. • Strong communication and interpersonal skills. Preferred Qualifications • Master’s or PhD degree in computer science, bioinformatics, or a related field with at least two years of relevant experience. • Expertise in workflow management tools (e.g., CWL, Nextflow, WDL) and cloud computing platforms (AWS, GCP, Azure). • Advanced knowledge of statistical and machine learning techniques. Other Requirements • Successful completion of applicable compliance and systems training requirements. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Description Per hourly rate: $32 / hour Department: GGS Physical work location: Remote work Web link to Lab: https://labs.icahn.mssm.edu/dolab/ Web link to Department: https://icahn.mssm.edu/research/genomics The associate bioinformatician will lead projects related to machine learning, data mining and analysis of electronic health record-linked biobanks for disease prediction and genetic discovery for common, complex diseases and rare diseases. The candidate will also be expected to assist other members of the lab with data analysis and lending bioinformatics expertise, and to attend project and group lab meetings. Responsibilities 1. Designs and implements bioinformatics tools and processes. 2. Identifies and resolves technical issues and proposes upgrades to current software. 3. Develop projects and work independently on a variety of bioinformatics analysis projects. 4. Manages databases, conducts statistical and genomic analysis, and participates in the preparation of manuscripts and presentations. 5. May be involved in sequence and structural analysis, data mining, or statistical modeling. 6. May collaborate with wet-bench biologists and work independently to analyze data derived from several types of projects using microarrays and high-throughput sequencing. 7. May conducts analysis of microarray and high-throughput sequencing data, genome sequence analysis, experimental design and statistical analysis. 8. Other related duties as assigned. Qualifications • B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline. M.S. in related field preferred. • Minimum 1 year of experience in research environment, 2-3 years preferred Non-Bargaining Unit, 024 - Personalized Medicine Inst - ISM, Icahn School of Medicine Employer Description Strength Through Diversity The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by: • Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential. • Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination. • Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers. At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization. We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally. Explore more about this opportunity and how you can help us write a new 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 43,000 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 approximately 7,400 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 and top 20 in Cardiology/Heart Surgery, 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. 14 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. The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.” EOE Minorities/Women/Disabled/Veterans Compensation The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $59999.94 - $64999.91 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.