Bioinformatics Jobs

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide. Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma. Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ . Role Overview We are seeking a highly motivated, passionate, and driven Bioinformatics Data Scientist with high scientific curiosity to join our research and development team. In this role, you will bridge the gap between complex biological datasets and actionable therapeutic insights. You will design, develop, and execute scalable computational pipelines to analyze high-dimensional genomic data.The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and the technical skillset to tackle unstructured, diverse and complex multiomics challenges. Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline. Key Responsibilities Data Analysis: Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms. Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data. Perform quality control, normalization, and batch-correction across heterogeneous datasets. Pipeline Development & Automation: Design, optimize, and maintain robust, scalable bioinformatics pipelines. Implement version-controlled code architectures to ensure reproducibility and scalability of data analyses. Procure and integrate existing biological databases with internal datasets. Cross-Functional Collaboration: Translate complex computational and statistical findings into clear biological narratives for experimental biologists, clinicians, and stakeholders. Collaborate with IT and other functional groups. Requirements Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field. Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required). Ability to turn raw biological data into structured insights. Strong experience with AI application in data science. Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn). Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy). Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus. A self-starting attitude with an intrinsic desire to stay ahead of the curve in emerging computational methods and biological technologies. Proven ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and pivot quickly based on data-driven feedback. Exceptional critical thinking skills with a knack for debugging complex code and parsing unstructured data formats. Creative, innovative and excellent communication and presentation skills. This role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge. The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, an

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 Sr. Bioinformatics Programmer working in a Molecular Diagnostics environment. This position is an onsite role for a minimum of 6 months with the potential for hybrid role after that based on performance. Ability to be onsite 3 to 5 days a week a must (possibility of full remote work is currently not available) NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nation’s 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 the Applied Bioinformatics Laboratories (ABL) are seeking a highly motivated, enthusiastic and creative individual to become a member of our clinical bioinformatics team. We have an exciting opportunity to join our team as a Senior Bioinformatics Programmer. The successful candidate will be primarily responsible for the development and maintenance of computational pipelines and work closely with clinicians to develop bioinformatic tools for clinical Next Generation Sequencing (NGS) based diagnostics. In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required. This is a great opportunity to be involved in an innovative environment utilizing and mastering 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: · Enhance or develop new automated workflows/pipelines within a nextflow environment for bioinformatic tools utilizing next generation sequencing data in clinical diagnostic assays · Use existing bioinformatics pipelines to analyze the molecular patient data generated in the clinical lab · Oversee systems support for existing bioinformatics pipelines and develop new pipelines to support new molecular assays · Support the team in its common clinical genomics and precision medicine goals · Perform quality control of the generated sequencing data and develop solutions to enhance future performance · Perform different types of data analysis relating to the genomics-based approaches utilized by the lab, in an independent fashion. · Develop new methods for multi-omics data analysis and integration · Work with bioinformatics scientists and clinical pathologists to analyze and interpret patient NGS results for better potential treatment options · Work with lab users to analyze biomedical data and address clinical needs using bioinformatics techniques and tools · Work with MCIIT and HPC team to provide current and future solutions for server, storage and other requirements. Preferred Qualifications: · Expert in creating customized sequencing analysis pipelines, in applications for data analysis, and executing standard bioinformatics pipelines (relevant examples in a GitHub repository).· Basic knowledge and understanding of software engineering concepts· Knowledge of algorithms, data structures, machine learning· 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 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) Minimum Qualifications: · To qualify you must have a M.Sc. plus a minimum of 3 years’ experience in Bioinformatics, Computer Science, Programming, Software Development, or related fieldPrevious experience with NGS data and associated bioinformatics tools· Experience in Unix/Linux systems including high-performance computing environments· Strong programming skills in Python, R, shell scripting· Proficiency in Nextflow, Django, Docker and Singularity containers· 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· Knowledge of biology, cancer genomics or an understanding of key and complex biological concepts· Detail-oriented, well-organized and an interest in clinical sequencing and disease related or cancer genomics· Ability to work independently (e.g., recommend new software or bioinformatic tools, find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results)· Team oriented with excellent written and verbal communication skills· Ability to function in a multidisciplinary team including MD’s and PhD’s· 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. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. 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 $84,577.92 - $105,039.78 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

Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVie’s R&D, is a global organization dedicated to the discovery and optimization of innovative drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA, etc.) across all therapeutic areas. We are seeking a highly driven and innovative scientist with expertise in bioinformatics to design, develop, and optimize data capture workflows and dynamic visualization dashboards for biologics discovery. Responsibilities: Independently design digital workflows or tools to streamline biologics discovery and evaluate improvements in operational efficiencyIdentify, champion and test software solutions and that map to the needs of BGMProactively identify scientist needs that further our digital transformation strategy and propose solutions to meet themPilot new software and AI tools to evaluate utility for BGM and train others on how to use themDesign and implement standard analyses and visualizations that balance customization and increased efficiencyRepresent BGM to Informatics and external software vendor providers as a technical and strategy expert.Collaborate across groups with different priorities and drive toward alignmentUnderstand and communicate nuance of wet-lab workflows to enable integrated, harmonized data capture and champion data stewardship.Proactively communicate roadblocks and identify potential paths forwardCommunicate impact at internal and external forums Qualifications BS, MS, or PhD in a related scientific discipline or bioinformatics with typically 10+ (BS), 8+ (MS), or 0-3 (PhD) years of experience.Strong foundational knowledge of molecular biology, protein biochemistry, and geneticsHands on experience in a biology or biochemistry lab settingHands-on experience with commonly used bioinformatics tools and platforms (e.g., SnapGene, Geneious, Genedata Biologics, Pipebio, Benchling)Proficiency in Microsoft Excel, SQL, and at least one other programming language (e.g. Python, or R)Demonstrated expertise in retrieving, preprocessing, and managing large datasets from databasesProven ability to develop interactive data visualizations and dashboards (experience with Power BI, Tableau, D3.js, or Spotfire preferred)Experience with CRO data management/data standardizationExperience with the integration and automation of laboratory instrumentation for data acquisitionAbility to prioritize based on evolving needs and reach consensus among stakeholdersPreferred: Practical experience utilizing relevant programming libraries and frameworks for custom application development (such as Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Streamlit)Familiarity with the antibody or genetic medicine R&D and drug discovery process Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​ We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​ This job is eligible to participate in our short-term incentive programs. ​ Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. Position SummaryThe Human Genomics and Translational Data Sciences team within Cardiometabolic Research Data Science is hiring a Bioinformatics Pipeline Engineer to help build, solidify, and scale the analytical pipelines our scientists rely on every day. Our work spans multiple omics workflows, including target discovery and target due diligence, single cell sequencing, genomics, proteomics and, increasingly, AI-assisted workflows that pull these analyses together into faster, more reproducible products for therapeutic area partners across Lilly Research Labs. This role sits at the intersection of two worlds. On one side, we employ classical bioinformatics and statistical genetics pipelines — the kind of robust, reproducible, well-tested workflows that turn messy public and proprietary genomics data into trustworthy answers. On the other, the rapidly evolving stack of AI tooling — large language models like Claude, agentic workflows, building AI-friendly connectors like MCP (Model Context Protocol), and the code that lets scientists query complex datasets in natural language. We want someone who is genuinely curious about both, and keen to use both to improve the value we derive from our datasets to enable target support and novel target discovery. You will not be expected to be a senior expert in either domain on day one. You will be expected to bring strong software engineering instincts, and a keen curiosity and creativity to enhance the value of the tools and datasets at our disposal. You will work closely with statistical geneticists, computational biologists, and other engineers — both within our team and across Lilly — to ship tools that make the science faster and more reliable. Key Responsibilities Pipeline Development and Engineering Support for computational biology workflows, including single cell, spatial, and other multi-omics analysis workflows for clinical and preclinical applicationsUse modern workflow managers (e.g. Nextflow, Snakemake, or similar) and containerization (Docker, Singularity) to make pipelines portable, testable, and reusable across projects and teamsHelp build and maintain reproducible analytical pipelines for statistical genetics and bioinformatics workflowsWrap and harden ad-hoc analytical scripts written by scientists into production-quality tools that can be re-run reliably by othersWrite tests, documentation, and clear examples so the pipelines you build are usable by colleagues with a range of technical backgrounds AI-Enabled Tooling and Workflows Prototype agentic workflows that automate established and routine analytical tasks — for example, pulling target evidence across data sources, generating standardized due-diligence reports, or letting scientists interrogate complex datasets in natural languageBuild and maintain MCP connectors that expose internal data, public resources, and analytical pipelines to LLM-based agents and tools like ClaudeIdentify and develop use cases where LLMs and agentic AI workflows can improve the speed, quality, consistency, or accessibility of work across therapeutic areas, focusing on end-to-end capabilities rather than isolated task completionContribute to a shared library of reusable AI tooling, prompt patterns, and integration code that the team can build on. Define technical standards for evaluation, documentation, guardrails, and workflow quality so that AI-based solutions are trusted, reproducible, and suitable for repeated use across teams and projectsKnow the latest with the AI tooling landscape and bring back ideas the team can put to work. Help improve AI fluency among collaborators by demonstrating practical workflows Collaboration Across Lilly Research Labs Partner closely with statistical geneticists, computational biologists, and software engineers within the Cardiometabolic Data Science group and across other Lilly Research Labs teamsWork with therapeutic area partners to understand their analytical needs and translate them into pipeline requirementsCoordinate with platform and engineering groups to ensure your pipelines integrate cleanly with broader Lilly infrastructureContribute to internal knowledge sharing — code reviews, demos, documentation, and helping colleagues get unblocked Basic RequirementsB.S. in computer science, computational biology, bioinformatics, biological sciences, statistics, or a related field, with 10+ years relevant work experience,OR M.S. in computer science, computational biology, bioinformatics, biological sciences, statistics, or a related field, with 7+ years relevant work experienceOR Ph.D. in computer science, computational biology, bioinformatics, biological sciences, statistics, or a related field, with 1+ years relevant work experience. Additional Skills/PreferencesStrong programming skills in Python and/or R including comfort with version control (Git), code review, testing, and writing maintainable codeDemonstrated experience building data analysis pipelines, ideally using a workflow manager such as Nextflow, Snakemake, or WDLWorking familiarity with bioinformatics file formats (VCF, BED, GTF, BAM, etc.) and standard tools (PLINK, samtools, bcftools, or similar)Familiarity with typical data types in high-throughput biology, including NGS dataHands-on experience or strong demonstrated interest in modern AI tooling — using LLMs through APIs, building MCP servers/connectors, prompt engineering, or wiring up agentic workflowsDemonstrated ability to build stable and practical, reusable workflows and not just code for one-off analyses, with strong implementation skills in Python and modern AI/ML toolingA collaborative, low-ego mentality; you enjoy building tools that other people use and you take feedback wellComfort with cloud computing environments (AWS, GCP, or Azure) and Linux/command-line workAbility to work successfully in a matrixed environmentPrior experience with statistical workflows/biomedical statistics Prior exposure to statistical genetics methods (GWAS, fine-mapping, MR, colocalization, burden testing) or large-scale genomic datasets (UK Biobank, gnomAD, GTEx, Open Targets)Prior experience with complex high-throughput biological data or experiments such as spatial transcriptomics, large-scale screens, or multi-omics studiesFamiliarity with R in addition to Python, particularly for statistical genetics packagesExperience with relational and/or graph databases, and with biomedical ontologiesContributions to open-source projects or a public portfolio (GitHub, blog posts, demos)Prior experience in pharma, biotech, or academic genomics research Resources ManagedThis is an individual contributor role with no direct reports. The Applied Bioinformatics Engineer, Pipelines & AI will work closely with scientists, engineers, and external partners across Lilly Research Labs. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL). Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $166,500 - $266,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. #LI-AS4 ZS Discovery partners with pharmaceutical and biotech clients to accelerate the discovery of safer, more effective therapeutics. The team brings hands-on scientific expertise, advanced analytics, AI, and strategic consulting to help research organizations become more productive, more data-driven, and more confident in their decisions. As a venture within ZS building toward practice status, Discovery combines agility and innovation with the resources and knowledge of the broader firm. Bioinformatics Leader ZSD's bioinformatics team delivers work spanning multi-omics analysis, computational biology, GxP pipeline development, and platform architecture for some of the world's largest pharma and biotech companies. This role sits at the senior end of the delivery team: leading engagements, building client relationships, and contributing to business development. You will work as a trusted advisor to R&D leaders, helping them think through how bioinformatics can accelerate their programs. What you'll do: Lead bioinformatics strategy and execution across assigned Discovery client engagements, serving as the primary scientific and analytical point of contact Contribute to business development efforts by shaping proposals, identifying expansion opportunities within existing accounts, and supporting client conversations Design and implement computational workflows for analysis of multi-omic data (genomics, transcriptomics, proteomics) in drug discovery and translational contexts Translate complex biological questions into analytical frameworks, delivering clear, client-ready insights to research and R&D stakeholders Collaborate with cross-functional teams, including scientific strategy, AI, data, and technology, to deliver integrated solutions across the Discovery portfolio Mentor and guide junior bioinformatics staff, supporting their technical development and project contributions Stay current on emerging tools, platforms, and methods in bioinformatics and apply relevant advances to client work Support the development of ZSD's bioinformatics capabilities, including internal tools, methodologies, and thought leadership What you'll bring: Advanced degree (PhD or Master's) in bioinformatics, computational biology, genomics, or a closely related field, or equivalent applied experience Deep, hands-on proficiency in bioinformatics tools and programming languages (e.g., Python, R, Nextflow, Snakemake) and experience with cloud-based compute environments Domain expertise in at least one biological modality-such as genomics, transcriptomics, or single-cell-with AI and ML applied as tools within a broader scientific context Experience working with human patient-level data and multimodal datasets (omics, imaging, clinical/RWE) in a translational or drug discovery setting Strong communication skills with the ability to present complex analytical findings to both scientific and non-scientific audiences Experience in a consulting firm, CRO, biotech, or pharma R&D environment preferred; client-facing or professional services experience is a plus Collaborative spirit and the ability to work across teams with diverse scientific and functional backgrounds Fluency in English Client-first mentality Intense work ethic Collaborative spirit and problem-solving approach How you'll grow: Cross-functional skills development & custom learning pathways Milestone training programs aligned to career progression opportunities Internal mobility paths that empower growth via s-curves, individual contribution and role expansions Perks & Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States , visit ZS US office locations | Where we work | ZS . Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Work Authorization: This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. To complete your application: An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com Salary: $200,000.00 - $229,500.00

The mission of Quintara Biosciences is to provide customers with high-quality services and products through its core technology platforms, accelerating their R&D progress. At Quintara, you will face work challenges in a results-oriented and fast-paced organization; you will work with passionate professionals to develop innovative products and technologies in the field of life science applications and drive the development of life sciences; you will stand out in an environment full of respect, integrity and fair development opportunities. Primary Responsibilities You will be responsible for the development and optimization of bioinformatics data analysis pipelines, as well as the promotion of digitalization of laboratory data. This role will focus on building and improving bioinformatics data analysis workflows, automating data processing procedures, assisting the experimental team in solving technical problems, and managing the digital recording of samples and experimental data. In addition, you will conduct actual data analysis, update records, deliver analysis results to customers, and continuously improve overall operational efficiency by analyzing experimental and order data. Specific responsibilities include but are not limited toDevelopoptimize and maintain bioinformatics data analysis pipelines to improve data processing efficiency and throughput; Promote the digitalization and automation of experimental data, and optimize data flow processes; Collaborate with the experimental team to solve problems related to experiments, data processing, analysis pipelines and data integration; Manage the digital recording of orders and experimental data to ensure the accuracy and standardization of data storage, retrieval and reporting; Continuously identify and drive the optimization of data automation, digital record management and data flow from experimental data to final analysis; Participate in data analysis of various experimental projects such as RNA sequencing, amplicon sequencing and single-cell sequencing; Update and maintain accurate experimental data records in compliance with laboratory standards and customer requirements; Deliver processed data and analysis results to customers in a timely and clear manner; Analyze experimental and order data to identify improvement opportunities and enhance laboratory operational efficiency and project execution quality; Complete other tasks assigned by superiors. Educational Background and Work Experience Master's degree or above in Bioinformatics, Computational Biology, Data Science or related fields, with a solid understanding of bioinformatics technologies and their data analysis pipelines. At least 3 years of relevant bioinformatics work experience in NGS data analysis and pipeline development. Competency Requirements Professional Competencies Proficient in bioinformatics tools and software for data analysis (e.g., Python, R, Bash and workflow management systems), with knowledge of cloud computing or high-performance computing environments; Experience in laboratory workflow digitalization, data processing automation and big data management; Ability to independently troubleshoot technical issues in data analysis pipelines and collaborate with the experimental team to optimize workflows; Strong organizational skills to effectively manage digital orders, experimental data and data delivery to customers; Good English communication skills. Professional Attitude Passionate about technology and eager to research and explore; Strong sense of responsibility, career ambition and self-motivation, rigorous in work and with excellent team spirit; Strong execution capability, open to challenges, adaptable to changes and willing to take on additional responsibilities. Working Relationships Report to: Global Head of Bioinformatics Team Works with: Bioinformatics Team and Production Team Apply It Now linkedin Skills: Analysis Skills, Analysis Software, Automation, Bash Scripting, Big Data, Bioinformatics, Biology, Cloud Computing, Communication Skills, Computer Systems, Continuous Improvement, Data Analysis, Data Management, Data Processing, Data Quality, Data Recovery, Data Science, Data Storage, English Language, Identify Issues, Laboratory, Laboratory Operations, Next Generation Sequencing (NGS), Operational Audit, Operational Improvement, Operational Strategy, Order Management, Organizational Skills, Problem Solving Skills, Process Improvement, Product Development, Project Evaluation, Project Execution, Python Programming/Scripting Language, R Programming Language, Regulatory Compliance, Research & Development (R&D), Team Player, Time Management, Workflow Analysis About the Company: Quintara Biosciences

State University of New York's Department of Chemistry and RNA Institute seeks a Bioinformatics Technician in the laboratory of Prof. Shenglong Zhang on the Albany Campus (SUNY Albany). The position is to accomplish development of next generation mass spectrometry-based RNA sequencing methods. This includes development of methods to directly sequence RNAs, to examine their associated modifications, and to explore the potential roles of RNA modifications, e.g., in COVID-19, cancer biology, and metabolic diseases. The candidate will join an NIH-funded interdisciplinary research project, and a team of scientist and engineers, e.g., from Columbia University and Cornell Medical School in NYC. The candidate will have ample opportunities to acquire and develop new skills, work closely in a supportive, highly collaborative, and energetic environment with the PIs and collaborators in both academia and industry, and communicate results to the scientific community through conference presentations, patents and peer-reviewed publications. Job Duties: Responsible for development of next generation mass spectrometry-based RNA sequencing methods: Develop of algorithms, data analysis pipeline to obtain the sequencing and modification information effectively from our mass spectrometry-based data Develop data separation and sequencing algorithms Perform MS-based RNA sequencing data analysis and sequence generation, assembly, and alignment Assist in chemical experiments LC-MS data acquisition and collection Responsible for the folllowing: Prepare high-quality figures, data visualizations, and illustrations for publications and presentations. Assist with writing, editing, and proofreading of: research manuscripts, book chapters, grant proposals, abstracts and posters, oral presentations. Synthesize complex scientific results into clear, concise, and accurate technical writing. Work closely with the PI and collaborators to ensure scientific rigor and clarity in all research deliverables Job Requirements: Minimum Qualifications: Master's degree in Bioinformatics, Biostatistics, Computational Biology, Computer Science, Chemistry, or related field, from a college or university accredited by the US Department of Education or other internationally recognized accrediting organization. Proficiency with Python, R, or similar programming languages. Experience with large-scale biological data analysis (omics, MS, RNA sequencing, etc.) Strong written and verbal communication skills. Ability to work collaboratively in a fast-paced, interdisciplinary environment. Preferred Qualifications Experience with mass spectrometry data analysis. Background in RNA biology, sequencing technologies, or epitranscriptomics. Familiarity with machine learning, cloud computing, or algorithm development. Prior authorship on scientific publications Additional Information: Salary Range: $55,000-$60,000(DOE) Federal law and regulations require notice to all prospective employees regarding crimes that have occurred on campus in the current three-year period. Please refer to the following website for the complete Annual Security Report ("Clery Report"): http://police.albany.edu/asr.htm As an Equal Opportunity / Affirmative Action Employer, The Research Foundation for SUNY will not discriminate in its employment practices due to an applicant's race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity or expression, transgender status, age, national origin, marital status, citizenship, physical and mental disability, criminal record, genetic information, predisposition or carrier status, status with respect to receiving public assistance, domestic violence victim status, a disabled, special, recently separated, active duty wartime, campaign badge, Armed Forces service medal veteran, or any other characteristics protected under applicable law. The Research Foundation for The State University of New York offers exceptional benefits such as healthcare, dental, vision, pension plans, competitive pay, generous paid time off, tuition assistance, life insurance and long-term disability insurance. The University at Albany offers a variety of performing arts, world class libraries, and competitive sporting events.

Job Description Pay Range: $155,000.00 - $175,000.00 / year Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation. Benefits Information: We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include: · Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours · Best-in-class well-being programs · Annual, no-cost health assessment program Blueprint for Wellness® · healthyMINDS mental health program · Vacation and Health/Flex Time · 6 Holidays plus 1 'MyDay' off · FinFit financial coaching and services · 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service · Employee stock purchase plan · Life and disability insurance, plus buy-up option · Flexible Spending Accounts · Annual incentive plans · Matching gifts program · Education assistance through MyQuest for Education · Career advancement opportunities · and so much more! At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. You will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This professional will work in a remote capacity. Preference is given to candidates near the following facilities: Marlborough, MA Addison, TX Secaucus, NJ Responsibilities: Lead technical design, implementation and delivery of projects aiming to launch new diagnostic tests and services. Act as technical owner for your project, being responsible for the end-to-end solution from technical side. Work with cross-functional partners from business, operations, IT, R&D lab, geneticists, medical directors, and other bioinformatics stakeholders to create solutions that meet business and operational requirements. Lead solution architecture and interface design including system architecture for bioinformatics and detailed data flow mapping. Collaborate with stakeholders to ensure compliance of the solution with internal and external IT security and clinical policies and processes. Work with bioinformatics domain leaders to select appropriate technology platforms for each step in the diagnostic process. Oversee end-to-end testing and diagnostic test validation activities with the project team. Lead the technical documentation and plan and execute handover to operations to ensure effective launch and operation of the solution. Work with project management and report on progress, analyze risks and escalate issues to ensure accurate project management. Qualifications: BS with 7+ years of experience, MS with 4+ years of experience, or PhD with 3+ years of experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. At least 5 years of experience working in a regulated industrial life sciences environment. At least 4 years of professional software development or technical engineering experience Preferred Work experience and Skills: Thorough understanding of end-to-end diagnostic process including ordering, wet lab, dry lab, result interpretation and result and data delivery. Experience with solution design, system architecture, solution architecture, data flow modeling. Experience in leading technical design and implementation of complex projects. Experience with sequencing data analysis, bioinformatics, variant data analysis. Knowledge of bioinformatics tools and workflow managers for sequencing data analysis and quality control. Experience working with SQL and NoSQL databases. Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs). Experience with designing and implementing solutions in the cloud. AWS experience is preferred. Experience of working in clinical diagnostics setting (regulations, controlled processes, diagnostic test validation, environment management). Solid understanding of human genetics and oncology in diagnostic setting. Solid understanding of web lab process for DNA sequencing and working with or developing LIMS systems. Infrastructure management: Terraform, AWS CDK. Architecture design: Microsoft Visio, DrawIO, similar for crafting architecture diagrams. Programming Languages: Python, javascript/typescript, R, etc. Containerizing: Docker Web Frameworks: Python Flask, React Native, Bootstrap Reporting: R Markdown, Jupyter Notebook Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js Source Control: Git CI/CD: Gitlab CI/CD, Github CI/CD Education Bachelor’s Degree Required Master’s Degree or PhD Preferred 63624 Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

About Us: We are seeking a highly motivated Bioinformatics Analyst to join the research group of Dr. Robert Burk at Albert Einstein College of Medicine. Our group conducts molecular epidemiology and microbiome research with an emphasis on the human microbiome (cervicovaginal, oral, and gut) and HPV-related neoplasia. This role is central to translating large-scale sequencing datasets into rigorous, publication-ready results with direct relevance to chronic disease, cancer prevention and infectious disease research. Our work has been published in high-impact journals such as Nature Communications and Cell. The ideal candidate is an independent problem solver who is comfortable taking ownership of analysis workstreams, building and maintaining reproducible pipelines, and driving projects forward from raw data to interpretable outputs. They should be collaborative, communicate clearly with wet lab and epidemiology teams, and proactively propose analytic approaches that strengthen the science and accelerate progress. POSITION RESPONSIBILITIES: Pipeline development and leadership: Design, implement, document, and maintain end-to-end NGS pipelines for microbiome and HPV genomics applications (e.g., 16S/ITS1 amplicon sequencing, shotgun metagenomics, viral/HPV sequencing, bisulfite sequencing, and viral integration analyses). Large-scale data processing: Perform robust QC, read processing, reference alignment, taxonomic and functional profiling, strain-level analyses where appropriate, and reproducible reporting for cohort-scale datasets. Clinical and epidemiologic integration: Harmonize sequencing outputs with clinical and epidemiologic metadata (including complex longitudinal designs), perform data cleaning and validation, and generate analysis-ready tables. Statistical and computational analysis: Conduct and interpret statistical analyses using R and/or Python, including microbiome-specific methods (alpha/beta diversity, ordination, PERMANOVA, differential abundance) and epidemiologic modeling (regression and related approaches), with publication-quality visualizations. Project leadership and communication: Lead defined analysis workstreams, set realistic milestones, communicate risks and dependencies early, and present progress and results in lab meetings and to collaborators. Troubleshooting and optimization: Diagnose and resolve complex issues (pipeline failures, batch effects, contamination artifacts, inconsistent metadata, compute bottlenecks). Improve robustness, scalability, and runtime efficiency on shared compute environments. Reproducibility and best practices: Use version control (Git), structured documentation, and reproducible execution practices (workflow managers and/or containerization when appropriate). Maintain clear provenance from raw data to results. Scientific contribution: Propose fresh analytic ideas, evaluate new tools and methods, and contribute to interpretation and narrative framing of findings. Manuscripts and grants: Contribute figures, methods text, and analyses for manuscripts and grant applications. QUALIFICATIONS: Required: Bachelor’s degree in bioinformatics, computational biology, biostatistics, epidemiology, computer science, or a related field; Master’s or PhD preferred. Strong programming ability in R and/or Python, plus comfort working in a Unix/Linux environment (shell scripting, HPC-style workflows). Demonstrated experience processing and analyzing NGS data, including building or extending pipelines rather than only running existing ones. Solid understanding of basic statistical concepts and the ability to translate scientific questions into appropriate analyses. Track record of independent problem solving, attention to detail, and producing reliable, well-documented outputs. Strong communication skills and a collaborative mindset for working with interdisciplinary teams. Preferred: Experience in microbiome bioinformatics (16S, ITS1, shotgun metagenomics) and/or viral genomics with familiarity with phylogenetics, or integration-related analyses. Experience working with protected clinical or epidemiologic data and with best practices for data security and governance. Experience analyzing large cohorts and handling confounding, batch effects, and complex study designs (longitudinal, nested case-control, matched studies). Comfort translating analyses into clear figures, methods, and results text suitable for high-impact manuscripts 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. Additional Information: In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below. Albert Einstein College of Medicine considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. Maximum Salary Range: USD $65,000.00/Yr.

We're hiring Bioinformatics Scientists with strong backgrounds in computational biology and data science. A deep understanding of both biology and machine learning is required. The position's goals are varied, but include using personalized biomarker discovery and integrative-omics to diagnose "hard-to-diagnose" diseases. In this position at ICR, you'll get to: Conduct complex bioinformatics analyses on large genomics, transcriptomic, proteomic, metabolomic, and lipidomic datasets from biofluids and cell linesEngage in multi-omic integration under a personalized medicine paradigmDiscover personalized biomarkers to aid in unraveling complex and obscure phenotypes Please apply if you have: An MS or PhD in a Biomedical Science and extensive experience with computational biology, bioinformatics and data scienceExperience incorporating AI tools into bioinformatics workflowsExpertise in multi-omics integration, systems biology, network medicine, precision and personalized medicineExpertise in perturbation analysis and pathway enrichment analysis (eg. KEGG, Reactome, MSigDB)Machine learning skills (eg. LR, SVM, RF, XGBoost) and extensive experience with: Bayesian/probabilistic modeling, network-based sample similarity algorithms and factorization methods, data cleaning, such as batch effect removal and imputation, and data transformation and visualizationA solid statistical foundationExpertise programming machine learning and statistical pipelines, preferably in PythonGitHub repository showing your work, preferably linked to publicationsEven if you don't meet all of these criteria, please apply anyway Ideally, you'll also have experience with: iOS app developmentR programmingLinux environmentsOutlier detection And you'll need: Ability to work in the United States without sponsorshipA can-do attitude and a friendly, easygoing personality If you don't combine your cover letter with your CV or resume when you apply through LinkedIn, after you apply please send your cover letter only to: apply@invitroresearch.com with "Cover [Your name]" as the Subject line. Position title and compensation are commensurate with experience. The compensation ranges listed below are starting ranges. Starting base salary range: $155,000/yr - $230,000/yr Starting bonus range: $10,000/yr - $40,000/yr