Bioinformatics Jobs

Senior Bioinformatics Expert/Scientist within the Quantitative Science and Statistics group. Working in a highly collaborative environment, the successful candidate will build and develop bioinformatics support to next generation sequencing (NGS) technologies and platforms in advancing cell and gene therapy platform. The successful candidate is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators.#LI-HybridKey Responsibilities:Work as a lead bioinformatics scientist both independently and as a member of cross-functional teams to lead the effort on NGS experimental design, data analysis and interpretation.Develop bioinformatics pipelines for NGS data analysis, data management and enabling data analysis pipelines in routine analysis. Provide troubleshooting and maintenance supports.Produce high quality written documentation including study protocols, data analysis plans and reports.Refine algorithms and tools for sequencing data analysis and propose improvements.Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis.Lead bioinformatics pipeline validation and transfer.Support the wider R&D team with general bioinformatics needEssential Requirements:PhD in bioinformatics, computational biology, biostatistics, molecular biology, virology or related discipline.At least 5 years of relevant industry work experience is required.Strong domain knowledge in genomics, excellent programming skills, and deep experience with next-generation sequencing and analysis.End-to-end complete life cycle experience in analysis and workflow/pipeline development for major NGS platforms for mutation analysis, genome mapping, variant calling and interpretation.Strong communication skills, ability to work both independently and collaboratively, to manage multiple concurrent, fast-paced projects and to work with multidisciplinary teams.Ability to set up bioinformatics computation systems from ground up.Experience in virology or viral gene therapy and working experience in GxP environment is considered a plusThe salary for this position is expected to range between $132,300 and $245,700 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

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 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 inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Programmer/Analyst working in a Molecular Diagnostics environment. 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 Department of Molecular Pathology working in the field of Clinical Genomics and Precision Medicine. The Molecular Pathology Lab at NYU Langone Health with Applied Bioinformatics Laboratories (ABL) are seeking a highly motivated, enthusiastic and creative individual to become a member of our clinical bioinformatics team. Working in the Department of Molecular Pathology as a Bioinformatics Analyst specializing in molecular diagnostics, you will be responsible for the analysis of next-generation sequencing (NGS) data conformant to CLIA / CLEP and FDA guidelines. You will work as part of a team of highly experienced laboratory and informatics scientists at the NYU Langone Health Molecular Pathology Laboratory. The primary responsibilities include and are not limited to end-to-end analysis of next generation sequencing data using established pipelines, data quality control, assisting in validation of new clinical assays, and performing custom case-by-case bioinformatics analyses. You will be part of a clinical lab team of scientists and laboratory personnel taking an active part in generating, developing, and reporting patient sample genomic profile reports. You will be responsible to help implement and benchmark the most up to date algorithms used in clinical sequencing analyses. You will assist clinical informatics and laboratory scientists in the programming of pipelines, and in the development and validation of new NGS based clinical laboratory tests. This is a great opportunity to quickly acquire high-in-demand bioinformatics programming skills, develop new analysis tools/pipelines, analyze challenging datasets, and be involved in cutting edge NGS based cancer diagnostics, clinical genomics and hands on precision medicine for the benefit of patients. Job Responsibilities: • Analyze clinical sequencing data using established workflows • Develop and apply novel analysis approaches to aid clinical sample variant prioritization • Benchmark new tools for sequencing data analysis and propose improvements • Analyze validation experiments for laboratory developed tests (LDT) • Implement and execute analysis pipelines and workflows using Nextflow and Singularity Containers • Assist CLIA laboratory personnel in preparing data, text and figures for case analysis, LDT validation proposals, manuscripts and external presentations • Perform and evaluate appropriate sequencing QC measures • Develop and maintain database of variants, curation, and notes. Minimum Qualifications: • To qualify you must have a M.Sc. degree with a minimum of 1 years of work or internship experience in cancer or hereditary disease, next generation sequencing (NGS) analysis or in cancer genomics or human genetics with demonstrable biomedical NGS bioinformatics skills is required • Strong programming skills in Python, R and shell scripting • Basic understanding of human genetics • Work experience and algorithm understanding of standard software tools used to generate and manipulate FASTQ, BAM, VCF files including but not limited to BWA, GATK, Picard, samtools, bcftools • Knowledge in the analysis of SNV, Indel, CNV and structural variants for both somatic and germline disease, additional understanding of variant annotation • Familiarity with various NGS QC principles • Work experience with commonly used public genomics datasets (1000 genomes, ExAC, OMIM, gnomAD, ClinVar, HGMD, CIViCDB, PharmGKB, OncoKB, etc.) • Detail-oriented, well-organized and an interest in clinical sequencing and disease related or cancer genomics • Team oriented with excellent written and verbal communication skills • This position is an onsite role for a minimum of 6 months with the potential for hybrid role after that based on performance, no fully remote work at this time. Preferred Qualifications: • Prior experience working in CLIA environment is a plus • Experience in variant calling benchmarking and clinical validation analysis (e.g. concordance, limit of detection, assay reproducibility) • Experience of working in a Linux environment, experience with SGE • Experience with running workflows on public cloud (GCP / AWS) • Experience with developing and querying databases using SQL queries • Experience with web-development (HTML, CSS, JavaScript, TypeScript and related) 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. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. 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 - $75,955.36 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Job Description: The successful candidate will work closely with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to develop predictive AI/ML models using large-scale transcriptomic and imaging datasets to elucidate drug mechanism of action (MOA). Key responsibilities can include ingesting public data, performing data clean-up to ensure model compatibility, integrating external and internal datasets, and optimizing multi-model models. This role offers the opportunity to make a direct impact on drug development by delivering innovative data science solutions across cross-functional projects. Responsibilities: • Support senior analysts in implementing, training, and troubleshooting AI models. • Ingest, clean, and preprocess large-scale transcriptomic and imaging datasets for AI workflows. • Collaborate with scientific and technical teams to translate biological questions into computational solutions. • Document processes and outcomes ensuring reproducibility and transparency. • Assist in interpreting model outputs to advance the understanding of drug MOA. • Work with agility on time-bound projects with critical deliverables. Requirements: • MS degree (5+ years of experience) or PhD (0 years of experience) in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics, AI/ Machine Learning Engineer or other field with a strong quantitative and computational background) Proficiency in Python and standard ML libraries. • Proficiency working on HPC or cloud environments. • Domain knowledge in bioinformatics/computational biology. • Strong attention to detail, documentation, and communication skills. • Ability to independently execute and troubleshoot research plan. Preferred skills: • Experience with NumPy, Pandas, Scikit-learn, Matplotlib, and seaborn. • Experience with TensorFlow, and/or PyTorch. • Experience with git for version control and collaboration. • Experience with OpenCV, Scikit-image, and computer vision deep learning models. • Experience with multi-modal models. Top skills: • Implementing, training AI/ML models. • Data pre-processing for AI compatibility. • Domain knowledge of bioinformatics. • Experience working with genomic data. • Ability to communicate results clearly.

If you’re a student pursuing a degree in Bioinformatics, Computational Biology, Computer Science, or related majors, you may be a fit for a Co-op in our Research and PreClinical Development or Information Technology organizations. Please apply to one Co-op of interest that best matches your major. Our Co-op positions are January-August (Spring-Summer), May/June-December (Summer-Fall), and August-December (Fall). In this role, a typical experience might include the following: • Achieving a general understanding of what happens in our global organization • Completing hands-on project work that has an impact on the business • Engaging with Regeneron leadership • Collaborating with a specific hiring manager and other interns/co-ops • Establishing connections with Regeneron’s diverse set of employee resource groups • Participating in professional development sessions while enjoying lots of free food and swag • Showcasing the knowledge you gained through end of program presentation sessions • Getting paid for your hard work! This role might be for you if: • You want to make a difference • You advocate for your ideas – and what they can do in the world • You’re excited to think, challenge, listen, re-think and solve • You continuously look for ways to improve • You are science-minded, ask questions and challenge conventional wisdom • You work with precision, passion, thoughtfulness and integrity • You’re ready to work with the team that can bring a great idea to life • You know this is no ordinary job Please note our intern pay ranges are determined by level of education (year in school) and degree program. • The hourly rate range for Rensselaer, NY is $17.90 - $25.50 per hour. • The hourly rate range for all other locations is: $17.90-$50.90 per hour. To be considered for this opportunity, you must be enrolled in, or accepted to, an academic program pursuing an Undergraduate or Graduate degree (and be returning to school the semester following the position). A cumulative GPA of 3.0 is preferred. We want someone who is able to commit to 40 hours per week from January-August, May/June-December, or August-December. Demonstrated leadership in areas such as campus activities, clubs, sports, current or previous work, or within the community is also preferred. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

The Center for Infection and Immunity at Columbia University Irving Medical Center (CUIMC) and the Mailman School of Public Health is hiring for the position of Sr. Programmer Analyst, in Bioinformatics, to join one of the world’s largest and most advanced center for basic and translational science, with a global network of researchers, focused on microbial surveillance, discovery and diagnosis in humans and wildlife. The successful candidate will be part of a team that works on development and maintenance of pipelines for New York State CLIA certification of microbial diagnostic assays, high throughput serology, microbiome analysis, large-scale studies on autism and chronic fatigue syndrome/myalgic encephalomyelitis with focus on understanding host response mechanisms using high-throughput protein arrays, RNA-Seq, proteomics and metabolomics platforms, and data integration of multi-omics platforms. The candidate is expected to demonstrate the following skills and experience: • Advanced knowledge of commonly used bioinformatics tools and algorithms, writing pipelines for analysis of NGS datasets, generated using Illumina sequencing platform, along with strong programming and analytical skills. • Thorough knowledge of NGS experimental design, data quality control, mapping software such as Bowtie and STAR, genome annotations from major bioinformatics resources (EMBL, NCBI). Count generation using featureCounts, normalization and downstream analysis with DESeq2. Experience with tools such as Salmon, Kallisto etc. would be considered a plus. • High proficiency in scripting languages, such as Shell, Python, Perl and R in an academic or industrial environment. • Ability to work in Linux environments consisting of high-performance clusters or Amazon Cloud. Familiarity with SGE or Slurm schedulers, resource management, multi-threading tools. • Familiarity with Gene Set Enrichment Analysis or Ingenuity Pathway analysis Responsibilities • Provide bioinformatics support for multi-omics analysis in a large and dynamic laboratory - 50% • Provide support for projects related to microbial detection and discovery - 30% • Manage databases and data - 10% • Contribute to publications and research grants - 5% • Perform other related duties as assigned - 5% Minimum Qualifications • Bachelor's degree in computer science, bioinformatics, related field or equivalent in training and education with at least four (4) years of related experience. Preferred Qualifications • Master’s degree or PhD degree in computer science, bioinformatics, or related field with at least 2 years of related experience. Knowledge of statistical and machine learning techniques is a plus. Equal Opportunity Employer / Disability / Veteran Columbia University is commited to the hiring of qualified local residents.

• Background in data science, computer science, or statistics with a demonstrated interest in biology or medicine (while familiarity with PGT, reproductive medicine, and clinical lab workflow is not required, a willingness to learn work-related domain knowledge is necessary). A strong candidate with a BS degree can be considered • The work scope involves data analysis, data management, and software engineering. The ability to adapt into a wider scope of work (bioinformatics data analysis or more) is strong preferred • Significant experience with python and R. Experience with SQL, Linux, and AWS • Communication skills, a teamwork mindset, being able to fit in a fast-paced work environment, competence to learn new things and adapt to changing needs • No need for H1B visa sponsorship Juno Genetics, US Inc. provides equal employment opportunities to all persons and prohibits employment decisions based on race, religion, color, creed, national origin, sex, age, disability, political affiliation, protected veteran status, or sexual orientation.

The Wistar Institute has an opening for a Bioinformatics Analyst in the Center for Advanced Therapeutics ("The Center") to perform a wide variety of laboratory tasks and experiments in a highly interactive and collaborative team. The Center for Advance Therapeutics focuses on cancer, infectious disease and translation research to accelerate the development of novel therapeutics. The Bioinformatics Analyst will provide The Center investigators with bioinformatics support and expertise in analyses and computational modeling for biomedical research data, data management and algorithm and software development. Successful candidates will have an MS or PhD in Bioinformatics/Computational Biology/Biomedical Sciences with coursework related to high throughput data analysis, or equivalent combination of education and experience, required. Prior experience in Matlab or R statistical environments, programming languages Python or Perl and/or in bioinformatics data analysis of high throughput data (next generation sequencing, microarrays, proteomics) is preferred. The Wistar Institute is a world leader in early-stage discovery science in the areas of cancer, immunology, and infectious disease. Wistar is committed to accelerating research advances from bench to bedside through brilliant science and distinctive approaches to collaboration among scientific investigators and academic and industry partners. Wistar's dynamic environment supports the advancement of discoveries that will change the future of human health. The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities. We offer a competitive salary and excellent benefits package. For more information about The Wistar Institute visit our website at www.wistar.org. It is the policy of the Institute to provide equal employment opportunities to all individuals regardless of race, citizenship, ethnicity, color, creed, religion, marital status, national origin, ancestry, sex, age, veteran status, mental or physical disability (including HIV and AIDS), pregnancy, caregiver status, domestic or sexual violence victim status, sexual orientation, gender identity and expression, or on the basis of genetic information, or any other characteristic protected by federal, state, or local law, with respect to all terms and conditions of employment.

Responsibilities: • Design, build, document, and maintain custom state of the art RNAseq and other OMICs data-analysis pipelines and front-end tools for a large user base. • Detect and resolve software bugs and performance issues. Provide on-demand technical support for applications. • Educate and train colleagues in usage of these tools. • Containerize on-premises and cloud systems, execute extensive test strategies, including unit and integration tests, to ensure software quality. Requirements: • Degree in computational biology, bioinformatics, computer science, biophysics, biotechnology or related field. BS with 2-4 years of experience, MS with typically 0-2 years of experience. • Advanced knowledge in programming languages commonly used in bioinformatics such as R and python. • Extensive experience in Front-End/tool development such as R-Shiny or React like frameworks. • Experience working with cloud (AWS), high-performance computing environments (UNIX) and version control systems like Git. • Proficiency in statistical analysis methods such as linear regression and multivariate analysis. Expertise in OMICS data analysis, especially RNAseq, including experiment design, data processing, and result interpretation using bioinformatics tools is a plus • Demonstrated experience in pharmaceutical industry or related field is a plus. • Excellent analytical and troubleshooting skills. • Good communication skills, team-oriented, with focus on achieving team goals. Work environment: • Part of the international bioinformatics team. • Remote in EST or CST time zone. • Dedicated scientist as supervisor for the project duration. • Fully remote possible

Senior Bioinformatics Scientist Location: East Brunswick, NJ Company Description Sonder Research X is a pioneering biotechnology company focused on transforming cancer diagnostics. By integrating advanced imaging, artificial intelligence, and molecular analysis, our multidisciplinary team sits at the intersection of biology, data science, and clinical research, developing breakthrough technologies for early cancer detection. About the Role We are seeking a Senior Bioinformatics Scientist to play a key role in advancing our multimodal cancer detection platform. This position will focus on developing and optimizing computational methods that integrate genomic, proteomic, and imaging data, enabling new insights into disease biology and driving progress toward regulatory submissions. The ideal candidate will bring both deep technical expertise and a strong track record of applying bioinformatics to translational research. Key Responsibilities • Design, build, and validate ML models for image and proteomics data. • Develop methods for integrating imaging, clinical, and multi-omics datasets to generate clinically actionable insights. • Contribute bioinformatics expertise to FDA/regulatory documentation and support clinical validation studies. • Develop, benchmark, and maintain computational pipelines for large-scale omics datasets (NGS, scRNA-seq, proteomics). • Partner with AI/ML engineers, pathologists, and biologists to define computational approaches and research goals. Ensure best practices in reproducibility, version control, and cloud-based data workflows. • Communicate findings clearly to both technical and non-technical stakeholders, including contributions to manuscripts, presentations, and grant proposals. Qualifications • Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field. • 5–8 years of postdoctoral or industry experience in bioinformatics, computational biology, or related field. • Proven expertise in NGS data analysis, with strong proficiency in tools such as GATK, Samtools, DESeq2, edgeR, Seurat, or Scanpy. Strong programming skills in Python and/or R; experience with Snakemake/Nextflow, Docker, and cloud environments (AWS, GCP). • Familiarity with GCP tools (BigQuery, Vertex AI). • Experience with explainable AI methods (e.g., SHAP, LIME) and their application to biological data. • Exposure to digital pathology or biomarker discovery is a strong plus. • Excellent problem-solving, communication, and collaboration skills in a fast-paced research environment. What We Offer • Competitive Compensation: Base salary in the range of $120,000–$145,000, commensurate with experience. • Impactful Work: The opportunity to shape novel technologies for early cancer detection. • Growth & Development: Significant opportunities for professional advancement in a collaborative, mission-driven environment. • Cutting-Edge Resources: Work with state-of-the-art computational and laboratory tools alongside an exceptional interdisciplinary team. This position requires the candidate to work full-time from our North Brunswick Laboratory. Additionally, please indicate in your email inquiry if you will require Sonder to sponsor a visa now or in the future, and specify your desired salary range. These questions must be answered to move your application forward for review.

How you move is why we’re here. ® Now more than ever. Get back to what you need and love to do. The possibilities are endless... Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success. If this describes you then let’s talk! HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment. Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise. Emp Status Regular Full time Work Shift Compensation Range The base pay scale for this position is $82,500.00 - $126,000.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future. What you will be doing JOB DESCRIPTION Bioinformatics Analyst 2 working as a part of the research team and independently contributes to the development and maintenance of data processing pipelines, analytical workflows, and software for the ingestion, processing, management, annotation, and analysis of high-throughput genomic data, and prepares for further analyses, research, submission to public databases, or publication. YEARS OF EXPERIENCE REQUIRED 1-5 years of quantitative genomics analyses in academic or industrial settings.Prior computational genomics research experience. YEARS OF EXPERIENCE PREFERRED PHYSICAL WORKING CONDITIONS ENVIRONMENTAL WORKING CONDITIONS HAZARDS OSHA NA POSITION & UNIT ACCOUNTABILITIES • Develops and maintains new data processing pipelines and analytical workflow and software tools, and writes code for specific analyses. • Following established procedures or specific scientific protocols, performs analysis of genomic data, performs quality assurance, and transforms and loads data for use by other analysts or scientists. Provide support to existing personnel for data analysis. • Integrates and analyzes data from a variety of internal and external projects • Works with basic and clinical scientists to translate scientific goals into analytical strategies and process requirements. • Perform data mining using various internal resources, public sequencing, and literature databases. • Use best practices for code development and documentation • Organize, annotate, integrate, and communicate genomic data and other relevant data types to create static and interactive reports, SOPs, code documentation, graphic presentations, or publishable images EDUCATION REQUIRED MS in quantitative disciplines or life sciences or higher with 1-5 years of experience. EDUCATION PREFERRED CERTIFICATIONS/LICENSURE REQUIRED CERTIFICATIONS/LICENSURE PREFERRED SKILLS REQUIRED Extensive prior experience in computational development and automation for genomics data processing pipelines. Extensive prior experience in genomics data analysis. Proficiency with UNIX-based operating systems, shell scripting Experience with high-performance cluster and cloud computing (AWS) environments. Proficiency with at least one programming language, R, Python, SQL. Experience with the R package and Shiny App development Experience with the Nextflow workflow management system Extensive experience with public databases and tools (NCBI, ENCODE, ENSEMBL, UCSC Genomics Browser etc.) Experience with version control tools (Git) Experience with image processing software and a basic understanding of image formats SKILLS PREFERRED Package and interactive application development with R, including static and interactive data visualization (ggplot2, plotly, d3). Extensive experience with data processing and transformation methods in R (tidyverse, data.table). Extensive experience with R Bioconductor. Development and implementation of automated Next Generation Sequencing pipelines. Nextflow Familiarity with RNAseq, ChipSeq, ATACseq, CUT&RUN, single-cell RNASeq and spatial transcriptomics (Xenium, Visium). Basic familiarity with web development, HTML, CSS, javascript. Understanding machine learning techniques, including predictive modeling and pattern recognition in complex and noisy data. Record of scientific/computational achievements including journal publications, conference presentations, public well-documented git repositories, public database/code repository submissions etc. Non-Discrimination Policy Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.