Bioinformatics Jobs
A job board made for computational biologists and those seeking their support
Work With The Bioinformatics CRO
The Bioinformatics CRO is a fully distributed contract research company that serves the computational biology needs of biotechnology companies, with a focus on genomics. We are expanding our valued network of highly skilled consultants, which spans all inhabitable continents and most areas of computational biology.
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Contingency Recruitment Services
At The Bioinformatics CRO, we hope to assist biotech companies with all their computational biology needs. Whether you are looking for custom analyses or a new full-time hire, we can help. With our extensive talent network and field-specific expertise, we'll help you find the right bioinformatics job candidate. Get more from your recruitment and let us find your next hire.
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Bioinformatics Engineer
My client is a successful and bespoke consultancy business operating throughout the UK. They have expertise in early-phase drug discovery, statistical genetics, precision medicine, translational genomics and engineering within the space. Their clients and partners span leading biotechs, pharma, and research groups. This is a fantastic opportunity for a Senior or Lead Bioinformatics Engineer with to join their growing team. The role is suited to engineers who have some prior knowledge or experience of bioinformatic datatypes and use of NextFlow. This role will be pivotal in driving genetic research initiatives and contributing to cutting-edge solutions that enhance the companies services. You will provide expertise and leadership on collaborative client-facing projects, and also contribute to the development of in-house tools. At the Lead level, you will also operate as a mentor and supervisor to junior colleagues. What you'll do: Utilise R and/or Python, and any of Perl, C, C++, Java, JavaScript or Scala for programming.Work with cloud platforms (predominantly GCP and AWS)Implement and manage data ingestion modules to download and manage publicly available genomic and molecular data sources.Ensure robust data processing pipelines and workflows for handling large-scale genomic data.Build, populate and manage databases and/or warehouses used for access to and storage of biological data. Providing efficient I/O capabilities to connect data and use efficiently in data science workflows and products.Utilise orchestration (e.g. Nextflow, Snakemake) and high-performance computing (e.g., SLURM, AWS Batch) frameworks.Write efficient and optimised SQL queries for data manipulation and analysisBuild and maintain GUI, dashboards and website front-ends to enable user-friendly exploration of data or execution of data science workflows.Build Microservices and APIs.Oversee the existing pipelines and lead/support the design of the new pipelines and workflows based on on-prem or cloud-based high performance computing infrastructures.Apply as directed above, or contact Campbell Pratt for a confidential discussion cp@kleboejardine.com. Experience: 5 years required
Bioinformatics Data Scientist/Computational Genomics Scientist/ Single-Cell Computational Analytical Scientist
Bioinformatics
PhD in bioinformatics focusing on data analysis to tackle global challenges. Requires a relevant 2:1 UK degree and a Master's. Candidates must secure their own funding.
Remote Data Engineer (Bioinformatics)
Description We’re looking for a Data Engineer with a strong background in bioinformatics and genetics to help build the data pipelines supporting Our Future Health’s growing Clinical Research Recruitment Service. This is an opportunity to combine genetics, bioinformatics and modern data engineering, working with data at significant scale while contributing directly to research that could improve how diseases are prevented, detected and treated. Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.7M volunteers across the UK, we’re now the world’s biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our engineering capability to support this ambition. Our Clinical Research Recruitment Service helps life sciences and academic organisations identify potential participants for clinical studies. As the service grows, we need to turn scientific workflows and manual processes into robust, reusable and scalable production pipelines. We’re looking for a Data Engineer with a solid understanding and experience of bioinformatics, in particular tools and methods associated with genomic data. You can design, build and test pipelines using a range of different technologies. You know how to create repeatable and reusable products and can communicate to and between technical and non-technical stakeholders, with the ability to facilitate discussions and manage different perspectives within a multidisciplinary team including scientists, software engineers, product managers and other data engineers. Essential Duties and Responsibilities Support the build of re-usable data pipelines used to identify prospective clinical trial participants.Produce logic for data transformation steps as code, which meets the requirements for our end users and builds well curated, accessible and quality controlled data for analysis. Developing prototypes for pipelines for complex transformations drawing on existing workflows developed in industry and academia. Keep abreast of best practice in data engineering across industry, research and Government and facilitating the adoption of standards. Providing technical input into the upstream parts of the data pipeline, including the specification and transfer of data from data providers. Routine ad-hoc data curation activities requiring hands on development of bespoke ETL cleaning scripts using languages such as Python. Working with researchers to understand the data requirements and work with them to deliver the data needed for their projects. Requirements We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Experience building and maintaining robust, scalable and efficient data pipelines. Capable of processing very large amounts of data based on feeds from multiple systems using a range of different technologies. Can listen to the needs of technical and business stakeholders and interpret them, and effectively manage stakeholder expectations. Detailed knowledge and understanding of genomic data (experience in genotyping and imputation is advantageous). Experience using bioinformatics file standards (VCF, BGEN etc) and tools (PLINK, bcftools, QCtools etc) Highly proficient in Python. Highly proficient in version control and Git/GitHub. Experience of workflow management tools, e.g. Nextflow, WDL/Cromwell, Airflow, Prefect, Dagster Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Good understanding of cloud environments (ideally Azure), distributed computing and scaling workflows and pipelines Understanding of common data transformation and storage formats, e.g. Apache Parquet. Awareness of data standards such as GA4GH ( https://www.ga4gh.org/) and FAIR (https://www.go-fair.org/fair-principles/). Experience with Spark, Databricks, data lakes. Follow best practices like code reviews, clean code and unit tests. Experience working in an agile development team. Why join us? You’ll be joining at an important point as we scale our clinical research recruitment capabilities and move from manual scientific workflows towards reusable engineering solutions. That means the opportunity to build things that don’t exist today, tackle challenging problems with huge datasets and see a clear connection between your engineering work and real-world health research. We’re looking for someone pragmatic, collaborative and comfortable working through ambiguity, someone who enjoys solving difficult problems rather than simply maintaining established systems. It’s a rare combination of science, engineering, scale and purpose. Hiring process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have. 1st interview with our Head of Data Engineering (30 min) - this is an opportunity to learn more about each other and align on role expectations. Technical interview with 2-3 members from our engineering team (60 min). This will include a short task you’ll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real-world responsibilities of this role. Final stage competency interview (60 min) with a small cross-functional panel of your potential new colleagues. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real-world projects. Benefits Competitive base salary from £62,000 per annumGenerous Pension Scheme – We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave – Supporting you during life’s biggest moments Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme – Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements You may work remotely from anywhere within the UK, with occasional travel to London. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk
Bioinformatics
Bioinformatician Are you a talented Bioinformatics Scientist with a passion for data science, machine learning, and genomics? We are seeking an ambitious and highly motivated individual to join an innovative research and technology team developing cutting-edge solutions in the field of functional genomics. This is an exciting opportunity to work within a multidisciplinary environment, tackling complex biological data challenges and contributing to the development of advanced statistical and computational approaches that support scientific discovery and innovation. Key Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex biological datasets.Develop and enhance statistical methodologies and computational algorithms.Apply machine learning and artificial intelligence techniques to research and product development initiatives.Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation.Analyse, process, and interpret Next Generation Sequencing (NGS) and other high-throughput genomics datasets.Produce technical reports and present findings to internal and external stakeholders.Support knowledge sharing, mentoring, and cross-functional collaboration across research and technology teams. Essential Experience and Qualifications To be considered for this role, you must demonstrate: A proven track record in statistics, biostatistics, bioinformatics, genomics, or a related scientific discipline.Strong experience in machine learning, deep learning, and statistical modelling.Advanced programming skills in at least two of the following: Python, R, or Julia.Hands-on experience using data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Keras, or equivalent.Experience working with Next Generation Sequencing (NGS), OMICS datasets, or other large-scale biological data.Knowledge of variant calling, exome sequencing, whole genome sequencing (WGS), or similar high-throughput genomics workflows.Familiarity with bioinformatics databases, tools, and analytical pipelines.Experience using GitHub and version control systems in collaborative development environments.Strong data visualisation, statistical analysis, and problem-solving capabilities. Desirable Experience Applications would be particularly welcomed from candidates with experience in: Hi-C, Capture Hi-C, HiChIP, or related 3D genomics technologies.Scientific Machine Learning (SciML).Biomarker discovery or target identification programmes.Bioinformatics pipeline development. About You You will be an inquisitive and analytical scientist who enjoys solving complex problems and translating data into actionable insights. You will thrive in collaborative environments, be comfortable working across multiple projects, and have the ability to balance immediate business needs with longer-term research objectives. If you are looking to play a key role in advancing innovative genomics research through data science, machine learning, and bioinformatics, we'd love to hear from you.
Bioinformatics Scientist/Engineer – DRAGEN Array
What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Job Title: Bioinformatics Scientist/Engineer – DRAGEN Array Location: UK or Germany preferred Job Type: Full-time Experience Level: Senior Are you passionate about developing innovative bioinformatics solutions that advance precision medicine? Do you enjoy solving complex scientific challenges through algorithm development, statistical modelling, and software engineering? Do you want to work alongside world-class scientists and engineers on technologies that have a meaningful impact on human health? If so, you could be the perfect fit for our Bioinformatics Scientist / Engineer role within the DRAGEN Array team. Position Summary The DRAGEN Array team at Illumina is seeking a bioinformatics professional to drive innovation across algorithm development, statistical modelling, and production-quality software engineering for genotyping and genetics products. This role supports the development of new solutions that advance translational research and precision medicine, delivering scalable computational workflows and analytical capabilities for array and next-generation sequencing (NGS) applications. Working closely with wet-lab scientists, bioinformaticians, product teams, and software engineers, you will develop and implement robust bioinformatics solutions, integrating established community tools alongside novel methods. You will also contribute to software engineering best practices, including testing automation, CI/CD, observability, and software lifecycle management, helping to ensure DRAGEN Array software is reliable, scalable, and ready for production deployment across local and cloud-based environments. What You'll Do Lead the design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‑learning methods to large‑scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation). Design and develop production‑grade software that automates analytical workflows and enables robust analysis at scale. Contribute to and help shape software testing automation, including unit, integration, and regression testing of bioinformatics pipelines. Define and maintain CI/CD workflows to support continuous integration, validation, and reliable delivery of DRAGEN Array software. Implement and evolve telemetry, logging, and monitoring to improve observability, diagnostics, and operational robustness. Execute and improve Software Lifecycle (SLC) practices, including requirements traceability, design documentation, verification, and validation. Use tools such as JAMA (requirements and traceability) and JIRA (planning and execution) to support structured, high‑quality software development. Collaborate closely with wet‑lab scientists, product management, and engineering teams to translate scientific needs into validated computational solutions. For staff level, provide mentorship and technical guidance to other scientists and engineers, and contribute to best practices in algorithm design, software engineering, and data analysis. Why You You will bring deep expertise in bioinformatics algorithm development, statistical modelling, and computational genomics, with experience developing production-quality software within scientific or commercial environments. You thrive working across multidisciplinary teams and are passionate about translating complex genomic data into impactful solutions that advance translational research and precision medicine. You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing technical leadership, influencing scientific direction, and mentoring colleagues will be highly valued. You'll also bring: PhD in Bioinformatics, Computational Biology, Computer Science, Biostatistics, Bioengineering, or a related field Strong algorithm development and statistical modelling expertise Experience with genomic data analysis at scale Programming expertise in Python and/or R Experience with production software development practices Knowledge of testing automation, CI/CD and software lifecycle processes Excellent communication and collaboration skills What can you expect Our team members are bright, energetic and dedicated - they are the driving force behind our innovation and impact. To attract the best and brightest, we offer a competitive employee benefits program. We view it as a smart investment in our people, one that recognizes the tremendous value they bring to our business every day. Living our values is central to how we work at Illumina. We are passionate about improving human health through genomics and believe that innovation happens when diverse perspectives come together to solve complex challenges. In this role, you will collaborate across scientific and engineering disciplines, act with integrity and accountability, and contribute to an inclusive environment where curiosity, continuous learning, and bold thinking are encouraged. We are looking for individuals who are driven by impact, committed to excellence, and excited to help shape technologies that advance research and precision medicine worldwide. The estimated base salary range for the Bioinformatics Scientist/Engineer – DRAGEN Array role based in United Kingdom is GBP 63.800 - 95.600. The range reflects long‑term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. This salary range applies to the primary posting location listed above. Should the level or location of the role change during the hiring process, the applicable base pay range will be updated accordingly. Compensation ranges for other locations will differ to reflect local market competitiveness and will be shared with candidates if applicable during the recruitment process. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a thoughtfully designed benefits package that supports your wellbeing, flexibility, and life beyond work—combining globally differentiated offerings with locally tailored programs. This includes support during important life moments, flexible time off, opportunities to give back, and a weeklong company-wide summer shutdown. In the UK, we also offer flexible benefits, a company contribution of 10% into your pension, and private medical insurance, alongside additional benefits to support you and your family. We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship. The potential of genomics to change the world is unparalleled. At Illumina, we are leading the way. Our technology empowers researchers and clinicians globally to improve cancer treatments, change the course of diseases, protect the environment, and fight food insecurity. We are made up of dedicated professionals, all-in on creating a better world – and we need every skill set on our path to making genomics useful for all. Learn more about life at Illumina. Illumina has been made aware of fraudulent schemes in which individuals falsely claim to represent Illumina, our Talent Acquisition team, or our Human Resources organization. Please note: • All legitimate Illumina career opportunities are posted on the Illumina Careers website. • Illumina will never ask candidates to pay fees, transfer money, purchase equipment, or provide banking information during the recruitment process. • Illumina does not extend employment offers without a formal interview process. • Official recruiting communications will come from authorized Illumina email addresses (xxxxxx@illumina.com). If you are unsure whether a communication is legitimate, please contact us at candidatehelp@illumina.com before sharing any personal information. Thank you for helping us protect the integrity of the hiring process and your experience.
Bioinformatics Scientist
Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. We are looking for an expert Biologist (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Biology team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging biology problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: This is a full-time or part-time REMOTE position You’ll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at $40+ USD per hour , with bonuses on high-quality and high-volume work Responsibilities: Give AI chatbots complex biology questions and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Understanding of cell biology, genetics, biochemistry, and experimental methods A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. xcunqrw Those located outside of these countries will not see work or assessments available on our site at this time. #bio Experience: 3 years required
Bioinformatics Leader
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 contactContribute to business development efforts by shaping proposals, identifying expansion opportunities within existing accounts, and supporting client conversationsDesign and implement computational workflows for analysis of multi-omic data (genomics, transcriptomics, proteomics) in drug discovery and translational contextsTranslate complex biological questions into analytical frameworks, delivering clear, client-ready insights to research and R&D stakeholdersCollaborate with cross-functional teams, including scientific strategy, AI, data, and technology, to deliver integrated solutions across the Discovery portfolioMentor and guide junior bioinformatics staff, supporting their technical development and project contributionsStay current on emerging tools, platforms, and methods in bioinformatics and apply relevant advances to client workSupport the development of ZSD’s bioinformatics capabilities, including internal tools, methodologies, and thought leadershipWhat you’ll bring: Advanced degree (PhD or Master’s) in bioinformatics, computational biology, genomics, or a closely related field, or equivalent applied experienceDeep, hands-on proficiency in bioinformatics tools and programming languages (e.g., Python, R, Nextflow, Snakemake) and experience with cloud-based compute environmentsDomain 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 contextExperience working with human patient-level data and multimodal datasets (omics, imaging, clinical/RWE) in a translational or drug discovery settingStrong communication skills with the ability to present complex analytical findings to both scientific and non-scientific audiencesExperience in a consulting firm, CRO, biotech, or pharma R&D environment preferred; client-facing or professional services experience is a plusCollaborative spirit and the ability to work across teams with diverse scientific and functional backgroundsFluency in EnglishClient-first mentalityIntense work ethicCollaborative spirit and problem-solving approach How you’ll grow: Cross-functional skills development & custom learning pathwaysMilestone training programs aligned to career progression opportunitiesInternal 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
Bioinformatics Scientist
Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. We are looking for an expert Biologist (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Biology team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging biology problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: This is a full-time or part-time REMOTE position You’ll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at $40+ USD per hour , with bonuses on high-quality and high-volume work Responsibilities: Give AI chatbots complex biology questions and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Understanding of cell biology, genetics, biochemistry, and experimental methods A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. xcunqrw Those located outside of these countries will not see work or assessments available on our site at this time. #bio Experience: 3 years required
Senior & Staff Bioinformatics Scientist's
Senior Bioinformatics Scientist Location: Europe or South Africa Hybrid or Remote Working If you are an experienced bioinformatics professional driven by the power of genomics to transform healthcare, we welcome your expression of interest in future exciting Bioinformatic opportunities. We will be looking for a Senior Bioinformatics Scientist to join the team behind the industry-leading DRAGEN™ platform and its integration with Illumina Connected Analytics (ICA), developing next-generation bioinformatics solutions that turn complex genomic data into meaningful biological insights. This is an opportunity to tackle some of the most exciting and meaningful challenges in genomics, working at the intersection of science, software, and innovation. Your work will help drive breakthroughs in areas including rare disease, oncology, population genomics, and precision medicine. Why This Role? At Illumina, innovation is driven by purpose. Every project, algorithm, and advancement contributes to a mission that matters: improving human health through genomics. You'll work alongside world-class scientists, engineers, and cross-functional partners to develop technologies that have a real-world impact on patients and communities around the globe. You'll have the opportunity to: Design novel algorithms that advance genomic analysis at scale Contribute to one of the most widely adopted secondary analysis platforms in sequencing Collaborate with leading experts across software engineering, FPGA development, clinical genomics, quality, and customer-facing teams Solve complex scientific challenges while helping shape the future direction of genomic technologies Deliver solutions that support discoveries, diagnostics, and precision medicine applications worldwide About You You're a curious and innovative scientist who thrives on solving complex biological and computational challenges. You combine deep expertise in bioinformatics, genomics, statistics, and algorithm development with a passion for translating cutting-edge research into production-ready solutions. Whether working independently or collaborating across disciplines, you're motivated by meaningful challenges and excited by the opportunity to create tools that make a tangible difference. You will likely bring: A Master's or PhD in Bioinformatics, Computer Science, Statistics, Engineering, or a related discipline Strong experience developing bioinformatics methods and algorithms for next-generation sequencing data Expertise in secondary analysis workflows including mapping, alignment, variant calling, and genomic interpretation Proficiency in C/C++, or equivalent high-performance programming languages Experience working with large-scale genomic datasets and production software environments Knowledge of applications such as cancer genomics, rare disease analysis, population genetics, transcriptomics, or multi-omics research Most importantly, you're excited by the opportunity to push boundaries, redefine what's possible, and help deliver genomic insights that improve lives. What You'll Do Design, develop, and implement innovative computational and statistical methods for genomic data analysis Build high-performance production software that delivers speed, scalability, and accuracy Analyze and interpret complex sequencing datasets to support product and workflow development Partner with software, FPGA, quality, clinical genomics, and product teams to deliver integrated solutions Advance the DRAGEN platform across germline, somatic, DNA, RNA, structural variant, CNV, and targeted sequencing applications Engage with customers, researchers, and scientific collaborators to understand emerging needs Present scientific findings and technical approaches to both specialist and non-specialist audiences Contribute to publications, presentations, technical documentation, and thought leadership initiatives Evaluate and apply emerging technologies to continuously improve performance and customer outcomes Champion collaboration, accountability, and innovation while helping teams succeed together Why Illumina? At Illumina, you'll join a community of talented people united by a shared purpose: advancing human health through genomics. You'll be challenged to do your best work, supported by colleagues who are collaborative and driven, and empowered to make an impact that extends far beyond the workplace. Together, we're enabling the breakthroughs that will define the future of healthcare. Ready to help accelerate the next generation of genomic discovery? We'd love to hear from you. Tagged as: Life Sciences


