Bioinformatics Jobs

Opening Full Time 40 hours Range URG 113 Ctr for Advanced Research Tech Schedule 8 AM-5 PM Responsibilities GENERAL PURPOSE: The Genomics Research Center (GRC) at the University of Rochester is seeking a highly trained, motivated, and passionate Bioinformatics Analyst to join a collaborative Bioinformatics group providing applied bioinformatics analytical support to research scientists utilizing high-throughput sequencing and other data types for their research. The ideal candidate should have a solid foundation in molecular biology, genomics, and bioinformatics as well as be able to communicate and work with a diverse research team. Specifically, the applicant will work under supervision of the Director of the GRC and Senior Bioinformatic Scientist to quality control raw data, identify dysregulated gene and pathways, and integrate disparate datasets into regulatory frameworks. In addition, daily responsibilities of data management, experimental design, optimization and maintenance of computational workflows, incorporation of new methodologies, and providing interpretable results to aid in hythothesis generation are expected. The GRC Bioinformatics Group routinely performs analysis of data including, but not limited to mRNA-seq (bulk and single-cell), micro RNA-seq, total RNA-seq, ChIP-seq, ATAC-seq, whole genome and exome sequencing, methylation sequencing, and micro array using cutting edge analytical methods as well as educates the research community on best practices for informatics. The GRC provides a highly interactive environment with collaborative opportunities across basic and clinical departments, access to high performance computing clusters, highly automated analytical pipelines and integration with high-throughput sequencing infrastructure to aid in experimental design and execution for delivery of high-quality results for highly competitive projects. Candidates with a strong background in bioinformatics, computational biology, machine learning are highly encouraged to apply for this position. This position is located in Rochester, NY and located within the Wilmot Cancer Institute. This position will report directly to the Director of the Genomics Research Center (GRC) and will operate with minimal supervision. JOB DUTIES AND RESPONSIBILITIES: • Analyze high-throughput sequencing data generated on high- throughput sequencing instruments. The sequence data will include: genome sequence data from experimental approaches such as whole genome sequencing, exome sequencing, ChiP-Seq, and targeted resequencing panels This requires an extensive working knowledge of linux/unix commands, computer programming languages and application of open-source software tools . • Analyze high-throughput sequencing data generated on high- throughput sequencing instruments. The sequence data will include: epigenetic (ATAC, methylation) data from tissue and cells populations. • Analyze high-throughput sequencing data generated on high- throughput sequencing instruments. The sequence data will include: RNA-seq data from tissues, cells and bacteria and 3) epigenetic (ATAC, methylation) data from tissue and cells populations. Analysis will include assessment of primary sequence data quality. • Participate in experimental design and analysis of sequencing projects. This includes application and development of novel analytical methods to meet each projects research goals, management of project milestones, and integration of multiple genomic data types . • Provide technical training, supervision, and consultation to GRC Bioinformatics team in conjunction with Bioinformatic Staff Scientist. • Provide bioinformatics support and training to research groups, including use of various software for analysis of genomic data, assistance in analysis and interpretation of data sets, and recommendation of best practices for sequencing experiments . • Secondary analyses of processed data including expression profiling, pathway enrichment analysis, functional annotation, transcription factor binding site prediction, putative motif identification, and chromatin accessibility prediction. • Perform other duties as assigned by management QUALIFICATIONS: • Bachelor's degree required. • Master's degree in related discipline such as Bioinformatics, Computational Biology, Data Science or Engineering preferred • 3 years of relevant experience or an equivalent combination of education and experience required. • Experience with Azure/AWS or other cloud platform development/deployment preferred. • Experience in higher education field strongly preferred. • Excellent communications skills, including written communication required. • Proven track record executing multiple work streams and producing consistent results required. • Strong knowledge of basic statistics, linear model building, principal component analysis, and factor analysis • Web interface, design and development experience, JavaScript, Python/Flask or related programming experience, including source control tools such as GIT required. • Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming required. • Competency with Python, JAVA, Perl, C++, and Cloud computing strongly preferred. • Experience with interface, networking, and data warehousing technologies, as well as design, relational database technologies, and performance tuning strongly preferred. The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University's mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations. How To Apply All applicants must apply online. EOE Minorities/Females/Protected Veterans/Disabled Pay Range Pay Range: $77,216 - $115,824 Annually The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

This is a full-time, hybrid position based out of either our Berkeley, CA or New York, NY office. At Glyphic Biotechnologies, we plan to create the protein revolution for which scientists and researchers have been waiting. We are developing a massively parallel, single-molecule protein sequencing platform that will transform proteomics and usher in a new era of insights into human biology and disease. To date, we have raised >$50M from venture partners and non-dilutive grant funding to achieve our vision of next generation protein sequencing. What We Are Looking For In You We are seeking an experienced bioinformatics scientist with industry experience to support Glyphic Bio’s development of a next-generation protein sequencing platform. This candidate must have demonstrated success in chemical or biological science research and in data analysis and visualization. The scientist would work cross-functionally with all science teams, report to the Founding Scientist, and play an instrumental role in Glyphic’s product and assay development. We value exceptional communication and organization habits, and candidates with a tendency toward systems thinking. Direct experience with SBS/ZMW/nanopore sequencing methods, next generation sequencing, and proteomics strongly preferred. This is a full-time, exempt, hybrid role and applicants should expect to work >50% of their time on-site in either our Berkeley, CA or New York, NY office. Primary Duties And Responsibilities • Develop and implement methods, algorithms, and novel primary data analysis tools for SBS/ZMW/nanopore-based raw data and sequencing data • Propose and create signal processing metrics to quantitatively describe and evaluate data generated by Glyphic's platform • Establish dedicated analysis and informatics to support company milestones. • Collaborate and engage with Glyphic’s R&D and Product development teams, and support internal projects. • Actively assess Glyphic teams' needs and develop streamlined data analysis methods to support company goals • Automate data analysis pipelines, maintain SOPs for multi-team use, and provide troubleshooting support as needed. • Maintain a centralized, shared and organized historical records of experiments conducted, problems solved, and bugs fixed. • Generate professional reports and visuals on performed data analysis, developed tools, and approaches, playing a critical role in the development of internal processes and eventual customer applications. • Stay abreast of developments in relevant research areas and actively propose directions for novel computational methods Required Competencies • Ph.D. or M.S. in Bioinformatics, Statistics, Computer Science, Computational Neuroscience or a related field. • For Senior Scientist: Ph.D with 4+ years of industry experience; or M.S. with 6+ years of post-graduate experience. • For Staff Scientist: Ph.D with 8+ years of industry experience; or M.S. with 12+ years of post-graduate experience. • Experience applying signal processing and signal filtering techniques to 1D/2D time-varying data. Eg. Image classification, Audio Signal Processing, digital signal from electronics etc. (Preferred experience with raw imaging data from SBS-style DNA sequencing or raw electrical signal from nanopore sequencers) • Experience using or developing machine learning and statistical methods for analyzing 1D/2D time-varying data, or sequence-based data • Visible track record of success in bioinformatics (peer-reviewed publications, patents, or significant contributions to development of commercial product). • Expertise in programming (e.g., Python, R, Perl, MATLAB, C/C++, Java) in a shared infrastructure setting (e.g., Jupyter, DeepNote) • Familiarity with Python-based machine learning frameworks and tools (eg. PyTorch, TensorFlow/Keras, Scikit-Learn) • Experience using bioinformatics tools for sequencing data and interpreting associated results • Experience with database structure, cleaning and management. • A knack for iterative process optimization and not letting perfection be the enemy of progress. • Ability to assess pain points, and identify and communicate solutions very efficiently. • Exceptional communication skills, with the ability to communicate rationale of pipeline design and clear visualization of results. • A tendency toward being hyper-organized. • Ability to work with multiple teams and maintain several projects in parallel. • Ability to work independently with limited oversight. • A commitment to maintaining the highest levels of workplace professionalism. • A willingness to self-start, embrace ambiguity and seek out opportunities for company, team, and individual improvement. Preferred Qualifications • In-depth knowledge of current machine learning approaches • In-depth knowledge of SBS/nanopore sequencing processes and data characteristics Physical/Cognitive Requirements • Prompt and regular attendance, punctuality, and availability to work at assigned work location, including adhering to the Department’s attendance policy (e.g., adhering to your work schedule, including but not limited to: scheduled tasks, meetings, meal/rest breaks, etc.). • Ability to work shifts of at least 8 hours, 5 days per week. • Ability to work from a dedicated space that is distraction-free and has a secure, high-speed, internet connection. • Ability to thrive in a fast-paced, high-intensity work environment. • Ability to remain seated in a stationary position for prolonged periods. • Requires eye-hand coordination and manual dexterity sufficient to operate keyboard, computer, and other standard laboratory and facilities equipment. • No heavy lifting is expected, though occasional exertion of about 20 lbs. of force may be required. • Ability to interact with leadership, employees, and members in an appropriate and respectful manner. • Maintains composure during moments of stress, maintains a helpful disposition at all times, and leverages de-escalation skills and techniques when necessary. • Ability to exercise good judgment, work effectively under time constraints, prioritize work, multi-task, and adapt to changing work demands. Not sure you meet 100% of our qualifications? We encourage anyone who thinks they would excel at Glyphic Bio to apply, no matter their background or how they identify. Benefits And Perks • 100% Coverage for Employees & Dependents on a Comprehensive Health Plan (Medical, Dental, & Vision) • Employer Retirement Contributions // 401(k) • Employee Stock Option Plan • Generous Paid Time Off // Vacation, Sick, & Public Holidays • Commuter Transportation Subsidy // Public Transit & Parking • Paid Maternity and Paternity Leave • Office Workstation Stipend • Free Coffee and Snacks in the Office We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Glyphic Biotechnologies are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Compensation Range: $120K - $204K

Senior Bioinformatics Engineer SPARK, launched by the Simons Foundation in 2016, is the largest study of autism ever undertaken. It is open to all individuals living in the U.S. with a professional diagnosis of autism and their family members. The initiative aims to improve the lives of people with autism by identifying the causes of autism and informing more effective therapies, treatments, services, and supports. Participants share medical and behavioral information through online surveys. They can also choose to provide saliva samples for DNA analysis. This data is made available to researchers worldwide to explore the genetic underpinnings of autism, identify potential subtypes, and power downstream research. SPARK also engages the autism community by offering participants access to the latest research findings and potential opportunities to participate in additional studies. POSITION SUMMARY The Bioinformatics team at the Simons Foundation is seeking a full-time senior bioinformatics engineer. The position will play an integral role in returning genetic results to thousands of SPARK participants, including ASD and secondary health-related variants, as well as work with petabytes of genomics data and develop workflows for a variety of informatics needs across SFARI. The ideal candidate will have experience developing bioinformatics pipelines, coding using software development best practices, and performing reproducible genetic analyses. The candidate will be responsible for bioinformatics analysis of the SPARK return of genetic results process, including tracking samples from sequencing to return, developing and running analysis workflows, and working with the SPARK return of results (RoR) team on the review and selection of returnable variants. The candidate will also be responsible for packaging SFARI cohort genetic datasets for release in SFARI Base as new sequencing data is received and as other dataset updates are needed. The senior bioinformatics engineer will report to the Deputy Director of Bioinformatics and will work alongside a growing team, including a software engineer, a data manager, and a data analyst on the Bioinformatics team, as well as with Informatics’ engineering team, the SDBR (SFARI Data and Biospecimen Repository) team, and various SFARI cohort teams (SPARK, Searchlight, ABN, etc.). This is a full-time position based at the Simons Foundation offices in New York City. Essential Functions & Responsibilities Return of Genetic Results • Manage the bioinformatics portion of the return of genetic results process, including delivery of sequencing data, variant analysis, and clinical validation orders • Track data deliveries of samples sent for sequencing • Run quality control pipeline to confirm RoR eligibility • Run variant filtering and annotation pipelines for SNVs/Indels & CNVs • Coordinate lab confirmation orders for predicted pathogenic variants • Analyze and summarize statistics for sequencing batches • Respond to questions from SPARK or lab related to variant predictions/orders Maintenance and Development of Bioinformatics Pipelines • Implement new features in existing pipelines, as needed • Design, develop, and test new bioinformatics pipelines, implementing end-to-end workflows that integrate existing tools, to support the needs and goals of SFARI and Informatics Data Releases • Package SFARI cohort genomics datasets for release by performing quality control, integrating data from various sources/versions, and documenting datasets details and methods descriptions • Answer questions about genomics datasets for data in SFARI Base MINIMUM QUALIFICATIONS Education • Ph.D. in bioinformatics, computational biology, or related field Required Skills & Experience • At least 4+ years of relevant work experience • Strong Python skills and software development best practices • Experience with sequencing data (whole exome or whole genome) and related tools • Experience performing reproducible data analysis • Experience working in an HPC environment • Experience with git/github • Effective oral and written communicator • Ability to thrive in collaborative environments Helpful skills • Project management experience • Experience analyzing large research datasets (>10,000 individuals) • Familiarity with core genetics concepts • Solid understanding of statistical analysis • Experience generating interactive data visualizations or dashboards • Desire to continually learn and stay up-to-date with best practices and the latest methods REQUIRED APPLICATION MATERIALS • Resume / CV • Cover Letter • Example code or repositories (e.g., github) COMPENSATION AND BENEFITS • The full-time annual compensation range for this position is $150,000 – $175,000, depending on experience. • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package. THE SIMONS FOUNDATION’S DIVERSITY COMMITMENT Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law. To apply, visit: [Please click the Apply button for the link or address] Tagged as: Data Science, Engineering

POSITION RESPONSIBILITIES We are looking for a motivated and experienced Bioinformatics Analyst to join Dr. Robert Burk’s research group. This role is critical for supporting our ongoing research projects focused in 2 areas- the human microbiome (gut, oral and cervicovaginal), and human papillomavirus related to cervix neoplasia. The ideal candidate will have a background in epidemiology, computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data. The successful candidate will demonstrate a willingness and eagerness to adapt to new approaches, as the field of bioinformatics is dynamic and constantly evolving. Key Responsibilities in order of priority: • NGS Data Handling: Perform demultiplexing and analysis of NGS data using barcoding primers for multiplex NGS runs. • Practical Experience: The candidate is expected to have practical experience with bioinformatics work (handling NGS reads off the machine, etc.) and be willing and eager to adapt to new approaches. This role will be facilitated with a proactive attitude towards learning and applying new bioinformatics methods and technologies. • Data Processing and Analysis: Utilize existing pipelines to process and analyze high-throughput sequencing data reads, including amplicon sequencing, bisulfite sequencing, metagenomics, and viral integration. • Data Management: Manage and organize bioinformatics sequencing data for our research group, including papillomavirus sequences, microbiome data (16S, ITS1 and shotgun metagenomics), and human genomic data. • Large Dataset Management: Download and handle large Fastq, BAM, and/or Fasta files for analyses. • Software Utilization and Script Modification: Use existing software tools and be able to modify R scripts to generate figures and perform epidemiological analyses. • Phylogenetic Analysis: Construct phylogenetic trees to support ongoing research projects. • Collaboration and Reporting: Work closely with and report directly to Robert D. Burk, M.D., Principal Investigator, and collaborate with other lab members generating NGS data. QUALIFICATIONS • Educational Background: Bachelor’s degree with at least one year of experience in epidemiology, computational biology, or bioinformatics. • Technical Skills: Proficiency in R or Python is required. Experience in microbiome bioinformatic processing is preferred. • Communication Skills: Ability to speak clearly and express oneself well in one-on-one conversations and groups. Develops effective written communications and uses them appropriately. Ability to present at weekly lab meetings using PowerPoint or other presentation programs. • Interpersonal Skills: Interacts and proactively shares information with internal and external contacts where appropriate. Develops effective professional relationships with peers, students, and employees. • Responsibility and Problem-Solving: Assumes responsibility to ensure issues/concerns are addressed and monitors them through to conclusion. Identifies, defines, and analyzes information and situations before recommending a course of action. • Time Management: Effectively manages own time and resources. • Innovation and Technology: Seeks to apply technology and innovation to improve efficiency and solve problems related to the goals of the research group. Minimum Salary Range USD $58,500.00/Yr. Maximum Salary Range USD $65,000.00/Yr.

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.

POSITION RESPONSIBILITIES • The Senior Bioinformatics Analyst will bring or learn proficiency in current genomics analytical approaches. These include but are not limited to analysis of RNA-seq, ATAC-seq, microRNA expression studies, exome or whole genome sequencing data, and single cell (sc) studies, including scRNA-seq, scATAC-seq, multi-omics, spatial transcriptomics and sequencing studies, including 10X and Mission Bio platforms. • The Analyst will learn from NYCRD colleagues how to analyse long-read DNA and RNA sequencing data. • They will perform studies involving human genomic data in a way that maximises the security of the data. • They will work with the high-performance computing group at the Albert Einstein College of Medicine to comply with their best practices and security requirements. • They will process incoming data for analysis and outgoing data for sharing as required. • They will actively work with colleagues in the field to learn about and co-develop when needed novel analytical approaches needed for genomic data analyses. • They will assist in the development of reports for researchers as required and guided. • They will report activities to their supervisor informally several times per week, and formally weekly. QUALIFICATIONS • Bachelor's degree required (advanced degree such as an Master's Degree or a doctoral MD or PhD degree strongly advantageous) • At least 2 years of relevant experience required • Python or R basic competency • SQL basic competency • Scala/Java experience advantageous • Basic strengths in data protection, privacy and security suitable for clinical information. Minimum Salary Range USD $85,500.00/Yr. Maximum Salary Range USD $95,000.00/Yr. About Us The Senior Bioinformatics Analyst will work as part of the Computational Genomics core facility. They will play a crucial role in the analysis and interpretation of complex biological data to support research and development initiatives. Leveraging the Analysts expertise in bioinformatics, computational biology, and statistical analysis, they will contribute to the advancement of scientific understanding and the development of innovative solutions in the fields of genomics, personalized medicine, and bioinformatics. They will interact with computational genomics colleagues from the New York Center for Rare Diseases (NYCRD). The position requires being on-site but with flexibility to build a hybrid model over time. We actively promote career advancement and will encourage the candidate to describe a plan for professional growth that we can foster.

The Landau Lab at the New York Genome Center is looking for a highly motivated, detail-oriented individual to join our efforts to study the basic principles of somatic evolution, cancer genomics and epigenomics. As an Associate you will be trained in the analysis and interpretation of next-generation sequencing (NGS) data, originating from patient samples as well as experimental modeling of cancer evolution, under the guidance of advanced bioinformaticians. Job Duties: • Learn and assist in analyzing sequencing data using established pipelines; • Learn and perform appropriate QC measures; • Learn and develop/benchmark new tools for sequencing data analysis; • Assist and collaborate with internal and external researchers in interpretation of sequencing data; • Other responsibilities, as assigned. The successful applicants will be part of a fast-paced and dynamic team. The Landau Lab will provide significant on-the-job training. We seek a candidate who is motivated and can take independent initiative. This is an excellent opportunity for someone looking to gain experience to move into a PhD program within a couple of years, based on the new skillset they develop at New York Genome Center (though, this is not a requirement). Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Required Skills • BS or MS degree, or equivalent experience; • Team-oriented with excellent written and verbal communication skills, collaboration skills and an eagerness to learn; • Exposure to NGS data analysis preferred; • A working understanding of code and script; • Training in statistics or machine learning is a plus. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At NYGC we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Competencies • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. • Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary & Benefits The pay range for this position is $65,000-85,000 per year; the base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. About the Landau Lab The Landau Lab (landaulab.org) develops cutting-edge single-cell multi-omics technologies to study somatic evolution. The lab also pioneers genomics methods development as well as cfDNA technologies. We use both computational and experimental methods to study these questions, with an interdisciplinary integration of approaches from computational genetics, functional genomics, and molecular biology. Dr Landau has a joint lab between Weill Cornell Medicine (WCM) and the New York Genome Center (NYGC). About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer’s, Parkinson’s, Huntington’s), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity Diversity, equity, and inclusion are central to the core mission at the NYGC. We strive to create a workplace environment that is welcoming and fair to all regardless of race, ethnicity, gender, sexual orientation, physical ability, or religion. We believe that when people of various backgrounds, life experiences, and perspectives work together in an inclusive and equitable environment we gain new and valuable perspectives that otherwise would have been missed. Valuing and supporting all NYGC employees as individuals while helping them realize their full potential is critical to promoting greater collaboration, innovation, and discovery – fostering a sense of belonging for our greatest strength, our people. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. The New York Genome Center takes affirmative action in support of its policy to hire and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. FLSA Status – Exempt This position is not eligible for visa sponsorship.

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

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 in the Computational Oncology Service. We're looking for a talented and self-driven Software Engineer to help us develop the next generation of cancer research software. Role Overview: • Develop data processing pipelines that handle large-scale, high-dimensional, and multi-modal data, such as genomic sequences, images, and clinical records. • Design, implement, and maintain data platforms for cancer genomics and imaging studies, using state-of-the-art technologies and frameworks. • Collaborate with scientists and clinicians to understand data analysis requirements and design data models and workflows that allow researchers to answer novel scientific questions. • Ensure scientific rigor and reproducibility by implementing and following the best practices in software development, code versioning, software testing and deployment. Key Qualifications: • PhD degree in Computer Science, Bioinformatics, Computational Biology or related field. • Experience working in a research environment. • Masters with 2+ years’ experience may be considered. • Proficiency in python and familiarity with R. • Experience with building and maintaining environments with pip, conda, and docker. • Experience developing bioinformatic pipelines. Core Skills: • Outstanding communication and self-awareness. • Critical thinking and problem-solving. • Adaptability and resilience to changing needs of research. • Collaboration and building positive relationships. Additional Information: • Location: MSK’s Computational Oncology Campus, 323 61st Street, in NYC. Pay Range: $118,800.00-$196,200.00 Helpful Links: • MSK Compensation Philosophy • Review our great benefits offerings #LI-POST 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.

• 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.