Bioinformatics Jobs

OverviewOur bioinformatics team, working in biostatistics, genomics and bioinformatics in the next-generation sequencing (NGS) domain is expanding. We are searching for a bioinformatics data scientist to focus on design and improvement of PCR assays for high throughput NGS genomic sequencing. This exceptional opportunity offers the chance to work with a team focused on the forefront of genomic and cellular understanding of cancer.ResponsibilitiesWork closely with software, experimental, regulatory, biological and clinical collaborators as a key member of the bioinformatics team in understanding assay performanceSupport the PCR primer/probe design. Identifies known and emerging nucleic acid biomarkers (SNV, InDel, DupDel, CNV, methylation, and fusions) via review of scientific papers and clinical trial summaries that drive treatment choices or are useful for monitor disease progressionAnalyze and interpret high-throughput internal DNA and RNA sequencing data from designed chemistry, with a specific focus on mutation identification and oncology characterizationImprove biology/oncology understanding and assay performance based on the dataQualificationsMS with 3+ years of experience or PhD in genetics or related disciplinePassionate about bioinformatics and data scienceProven critical thinking capability with ability to follow throughProven understanding of both human genetics, oncology, and the genetic variation associated with various types of cancerWell versed with public sequence depositories of genome sequence and variation data, especially those focused on oncology and is able to query, retrieve, manipulate, and analyze data from these databasesExperienced with the development of nucleic acid diagnostics based on the amplification of DNA and RNA via PCRExcellent communication (written and verbal) and data presentation skillsPreferredDeep knowledge and experience analyzing NGS data on human genome, either from industry or academiaProficiency with standard NGS tools like bwa, samtools, bedtools, etc.Experience working with somatic or low input DNA assaysExperience and knowledge of commercially available modern variant calling packagesProficient with Excel or scripting language to analyze/understand NGS dataAbout Pillar BiosciencesPillar Biosciences aims to "Make precision medicine the first option for every patient" by developing and manufacturing targeted next-generation sequencing (NGS)-based assays and software for today's high-throughput specialty NGS laboratories. We are seeking collaborative and independent problem solvers to support our mission.Equal Employment OpportunityPillar Biosciences is an Equal Opportunity and Affirmative Action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, age, nationality, marital status, sexual orientation, disability or any other characteristic protected by law.

Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview The Bioinformatics Scientist, with limited guidance from more experienced scientists, works individually and in collaboration with others on multiple projects which are moderate to complex in scope. The Bioinformatics Scientist plays an active role in planning of projects and analyses and is often the bioinformatics lead responsible for the successful execution of the project. This position involves independently making detailed observations, analyzing data and interpreting results. Working in a team setting, the Bioinformatics Scientist, will primarily be involved in Research and Development projects serving as a technical lead in translating research ideas and concepts into the product development pipeline towards development of diagnostic assay products. Essential Duties Include, but are not limited to, the following: Conduct analyses within several product or technology areas and identify problems and discrepancies. Independently plan and analyze results of bench level experiments within several product or technology areas. Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment. Utilize and apply methods or technologies effectively and provide ideas for new techniques, when appropriate. Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures. Provide technical input and participate in decisions affecting project planning and experimental design. Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication. Generate, document, and communicate development plans for critical aspects of a project. Participate in the development of research plans and experimental outlines. Prepare detailed technical procedures, protocols, and reports. Evaluate impact of nonconforming data to product or process. Identify and address trends in study data. Prepare and approve written reports. Lead identification of areas for process improvements. Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements. Prepare reports and documentation providing the analysis or summarization of results, outcomes and next steps to supervisor, technical teams/groups, or project teams. Present results and defend scientific ideas and findings at data meetings, group meetings, project team meetings, and/or departmental meetings; provide technical input as needed. Demonstrate technical proficiency and knowledge, scientific creativity, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas. Work on problems of diverse and complex scope in which analysis of data requires evaluation of identifiable factors. Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions. Work on individual assignments and with project team members as appropriate to meet department and project objectives. Work within project timeframes that are established collaboratively by team members. Act as technical leader for one or more projects that are moderate to complex in scope. Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results; analyzing data and presenting findings in a professional and knowledgeable manner. Promote an open, collaborative environment built on trust to foster positive teamwork. Assist in planning and recommendation of activities that account for prioritization of organizational and department goals. Ability to train and mentor bioinformatics associates. Ability to organize, present, and convey moderate problems or issues. Ability to communicate clearly with supervisor and group members. Demonstrate excellent presentation. Ability to collaborate, work effectively and contribute within team, department, and cross functional teams. Demonstrate strong attention to detail skills. Ability to effectively work on several varied projects at one time, with frequent changing priorities. Demonstrate excellent analytical, problem solving and decision-making skills. Apply sound technical knowledge and ability gained through experience and/or learning. Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action). Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. Support and comply with the company’s Quality Management System policies and procedures. Maintain regular and reliable attendance. Ability to act with an inclusion mindset and model these behaviors for the organization. Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day. Ability to work on a computer and phone simultaneously. Ability to travel 5% of working time away from work location, may include overnight/weekend travel. Minimum Qualifications PhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD. 1+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. Extensive experience in Linux-based HPC or cloud computing environments and associated tools. Ability to write custom code in at least three programming or scripting languages. Knowledge of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. Working knowledge of statistical and mathematical methods in biology/genetics/genomics, including experience with statistical software, such as JMP or R. Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint. Demonstrated ability to perform the essential duties of the position with or without accommodation. Authorization to work in the United States without sponsorship. Preferred Qualifications 2+ years of industry or academic experience, post doc. Experience in an FDA-regulated environment, ideally in medical device development. Experience in a biotech manufacturing environment, preferably in an GMP and/or ISO environment. #LI-BH1 Salary Range: $84,000 - $138,000 (National salary range) $97,000 - $159,000 (California salary range) The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. In addition, this position is bonus eligible. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here. Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law. To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know. At Exact Sciences, we're helping eradicate cancer by preventing it, detecting it earlier, and guiding its personalized treatment. Learn more about how we're committed to giving everyone more time for the moments that matter. In an ever-growing online society, it's important to be vigilant when providing personal information online. Job applications are processed through our Workday Careers site (with URLs containing "myworkdayjobs.com") and all communication from recruiters, hiring managers, and other company representatives will match this email format: firstinitiallastname@exactsciences.com If you are questioning the legitimacy of any communication from Exact Sciences, please reach out to hr@exactsciences.com for verification.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The PositionA healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. This role is a vital part of our Bioinformatics team, which is dedicated to pioneering advanced computational solutions that drive innovation in molecular diagnostics. As a member of this team, you will bridge the gap between complex biological data and actionable clinical insights through robust software engineering and database architecture. You will have the unique opportunity to collaborate closely with a multidisciplinary group of wet-lab scientists, software engineers, and clinical researchers to deliver tools that have a global impact on patient care. The Opportunity As a Bioinformatics Scientist, you will lead the design and development of end-to-end computational solutions, from scalable backend database architectures to intuitive frontend interfaces. Your primary accountability is to build and optimize the digital infrastructure that powers our PCR assay development and large-scale genomic analysis. Architect Scalable Data Systems: Design and deploy robust database structures and APIs that ensure efficient processing and retrieval of massive biological datasets.Engineer Advanced Algorithms: Lead the R&D of high-performance algorithms and automated workflows specifically tailored for clinical diagnostic applications.Develop Full-Stack Solutions: Build user-friendly web applications and interactive visualization tools that allow scientists to explore complex "omics" data in real time.Modernize Computational Infrastructure: Leverage High-Performance Computing (HPC) and Linux environments to implement cutting-edge software engineering best practices, including version control and CI/CD.Drive Process Innovation: Research and integrate emerging technologies in computational biology to maintain Roche’s position at the forefront of molecular biotechnology.Translate Science into Software: Convert complex scientific requirements from wet-lab stakeholders into functional, high-quality code and reproducible documentation. Who You Are Educational Background & Experience: You possess a Bachelor’s degree with 12+ years of related experience, a Master’s degree with 10+ years of experience, or a PhD with 7+ years of experience in Bioinformatics, Computational Biology, or a related field. (Relevant experience includes prior or post-graduate work, as well as adjusted academic lab training in the same line of work).Advanced Technical Polyglot: You are highly proficient in Python and R, with deep expertise in object-oriented programming, Linux systems, and managing high-performance computing environments.Strategic Matrix Collaborator: You excel at working within a matrixed organizational structure, effectively balancing priorities from multiple stakeholders across R&D, IT, and Quality teams.Influential Communicator: You possess a proven ability to translate intricate technical and algorithmic concepts for non-computational audiences, ensuring alignment between diverse scientific disciplines.Full-Stack Visualizer: You have a strong track record of developing frontend applications using modern frameworks (React, Angular, or Vue) to create intuitive interfaces for multidisciplinary project teams. Relocation benefits are not being offered for this position The expected salary range for this position based on the primary location of Pleasanton, CA is $139,400 - $258,800 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Company Description Located in the San Francisco Bay Area, El Capitan Biosciences comprises a team of passionate, versatile, and seasoned professionals. Our team's extensive research and industry backgrounds enable us to stay at the forefront of innovation. At El Capitan Biosciences (ECB), our mission is to advance noninvasive diagnostics and monitoring by harnessing advanced machine learning algorithms and proprietary molecular methods to extract, quantify and interpret human RNA present in stool. By enabling whole transcriptome-sequencing of human transcripts shed from gut and immune cell populations, we aim to discover clinically meaningful biomarkers that reflect mucosal integrity, presence of disease, inflammatory activity and broader gastrointestinal health. Our multiplex RNA-based panels integrate signals across multiple pathways to deliver a comprehensive, actionable picture of disease biology, supporting improved diagnosis, monitoring, and overall understanding of gut health. Company website: https://elcapitanbio.com/ Why Join Us Opportunity to help shape the commercial direction of a novel platform technologyDirect impact on partnerships with leading pharma and diagnostics organizationsCollaborative, science-driven startup environment Job Description Position Overview We are seeking a highly skilled Part-Time Bioinformatics Scientist to support RNA-seq data analysis and machine learning model development for biomarker discovery and clinical diagnostics. This is a flexible role ideal for individuals seeking to contribute to cutting-edge translational genomics projects on a part-time basis. Key Responsibilities Analyze RNA-seq datasets, including preprocessing, QC, normalization, and differential expression analysisDevelop and maintain bioinformatics pipelines for transcriptomic dataApply statistical and machine learning methods to identify diagnostic or predictive biomarkersBuild and evaluate predictive models, including deep learning approachesExplore applications of large language models (LLMs) or multimodal AI in biological data analysisCollaborate with cross-functional teams to interpret results and guide experimental designCommunicate findings through reports, visualizations, and presentations Qualifications Basic Qualifications PhD candidate or PhD degree in Bioinformatics, Computational Biology, Biology, or a related fieldHands-on experience with RNA-seq data analysisStrong programming skills in R and/or PythonFamiliarity with Linux/Unix environments and proficiency in bash scriptingFormal training in statistics and machine learning Preferred Qualifications Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)Experience developing or applying deep learning modelsFamiliarity with large language models (LLMs) or generative AI applications in biologyExperience with NGS pipelines and tools (e.g., STAR, Salmon, nf-core, etc.)Experience working in high-performance computing (HPC) or cloud environmentsStrong data visualization and communication skills Additional Information What You’ll Gain Opportunity to work on cutting-edge RNA-seq datasets from clinical samplesExposure to real-world biomarker discovery and diagnostic developmentFlexible, part-time engagement with meaningful scientific impactCollaboration with a highly experienced, multidisciplinary team

WHO WE ARE Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system. Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis. THE PRODUCT We've built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we're offering a rare opportunity to join our team and change the world by building tools that help to improve human health. The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with! THE POSITION As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You'll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature. YOU CAN EXPECT An agile, diverse and multidisciplinary team. A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time. A place to look at things differently, challenge and offer solutions. A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture. A fast-paced environment of continuous improvement, optimised for impact. IN THIS POSITION, YOU WILL This position is for full time, 100% remote work. We would expect you to: Always put the user first. Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker. Continuously iterate and improve existing single cell pipelines and features. Receive and incorporate feedback from customers and colleagues. Perform troubleshooting of customer analyses. Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team. Experiment, test, try, fail and learn continuously. Think like an owner, and take pride in your work. Help and mentor teammates. FOR THIS POSITION, WE LOOK FOR Someone excited about building tools that will be used by thousands of single cell researchers. A track record of designing, building and improving data analysis software that solves user problems. A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level. Fluent in Python and R. Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat. Competency working with container-based cloud applications, ideally on AWS. Strong data visualization skills. Significant experience in conducting code reviews and providing feedback to others. Experience and desire to work as part of a close-knit team. Experience using version control systems such as Git/GitHub is preferred. Proficiency building pipelines with Nextflow or similar frameworks is preferred. Experience of integrating AI tools into development workflows is preferred. Knowledge of and/or interest in web development is preferred. Experience working with Bash is preferred. JOB CONDITIONS This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided. Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email. Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law. As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.

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 Hybrid capacity requiring 3 days onsite at our Marlborough, MA facility. 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 59554 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.

A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center. We are seeking a highly self-motivated postdoctoral candidate with experience in cancer research and strong analytical skills in single-cell RNA-seq data. Statistical modeling expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data, from cancer patient cohorts and interpretation. The candidate will work closely with our experienced clinician collaborators at MD Anderson, contributing to revealing the underlying mechanism behind the response heterogeneity of cancer and developing novel therapeutic targets. LEARNING OBJECTIVES • Analyze next-generation sequencing (NGS) data, including: • Bulk DNA-seq and RNA-seq • Single-cell RNA-seq • Spatial transcriptomics • Develop computational and statistical methods for multi-omic and single-cell data • Integrate diverse molecular data to study tumor evolution and therapeutic response • Collaborate with MD Anderson clinicians and basic scientists • Investigate mechanisms of tumor heterogeneity and resistance • Mentor graduate and undergraduate students and rotation trainees • Present research at scientific conferences and contribute to peer-reviewed publications ELIGIBILITY REQUIREMENTS Required: • Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field • Proficiency in R or Python • Minimum one year of experience in computational biology or cancer genomics • Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) • At least one first-author peer-reviewed publication • Strong communication and scientific writing skills Preferred: • Hands-on experience with single-cell and spatial transcriptomic analysis • Familiarity with multi-omic data integration workflows • Cancer biology background or translational research experience • Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: • Independent, proactive, and scientifically curious • Detail-oriented and committed to reproducible research • Strong team player with mentoring and collaborative experience • Critical thinker with strong problem-solving abilities ADDITIONAL APPLICATION INFORMATION Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu/~wwang7. POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. 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 Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. 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

The Opportunity QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most – home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. The Role At QuidelOrtho, we’re advancing the power of diagnostics for a healthier future for all. Join our mission as our next Staff Scientist to support Bioinformatics. The Staff Scientist, Bioinformatics is responsible for leading bioinformatics activities that support molecular assay development across QuidelOrtho’s diagnostic portfolio. This role drives computational analysis, target selection, primer/probe design, and in-silico inclusivity and exclusivity evaluations to enable robust, high-performance assays. The individual will develop and optimize bioinformatics pipelines, manage large genomic databases, and provide scientific guidance to project teams during feasibility, design, and verification phases. This position will be onsite full-time in San Diego, Ca (Sorrento Valley). The Responsibilities Lead the end-to-end computational workflow for assaydesign, including target identification, region analysis,primer/probe evaluation, and in-silico validation workflows. Build, maintain, and optimize internal bioinformatics pipelines (Python, Biopython, YAML configurations, PostgreSQL) for inclusivity analysis, exclusivity analysis sequence slicing, alignment interpretation, variant identification, and reporting. Design and execute computational assessments of genomic and transcriptomic datasets (NCBI SRA, RNA-Seq expression data, high-coverage genomic databases) to support target selection and assay feasibility. Perform BLAST-based region screening against inclusivity/exclusivity databases (viral, bacterial, fungal, human genome/microbiome) to evaluate off-target interactions and identify high-confidence primer and probe binding sites. Generate curated datasets, alignment summaries, variant reports, and performance-impact analyses for use in assay optimization and troubleshooting. Conduct oligo interaction modeling using thermodynamic calculations (e.g., ΔG analysis, melting temperature, longest contiguous window assessments) to evaluate primer/probe dimerization or secondary structure risks. Partner closely with Molecular Assay Development, R&D, Systems Engineering, and Data Science to ensure computational insights are integrated into experimental workflows and design decisions. Maintain high-performance compute environments and associated databases to support pipeline development (e.g., BLAST DBs, PostgreSQL storage, GPU-accelerated workflows). Prepare clear, traceable reports and documentation enabling reproducibility, regulatory support, cross-functional communication, and design history files. Perform other work-related duties as assigned. The Individual Required: Ph.D. in Bioinformatics, Computational Biology, Molecular Biology, or related field; or M.S. with 5+ years of relevant diagnostic industry experience. Expert-level experience in Python, Biopython, YAML, and shell-based environments for pipeline development. Strong knowledge of PostgreSQL, relational database structure, and genomic data storage/curation. Deep understanding of genomics, transcriptomics, and molecular assay design principles (primer/probe thermodynamics, secondary structure modeling, amplicon design). Demonstrated experience performing in-silico inclusivity/exclusivity analyses, BLAST-based real estate screening, variant interpretation, and sequence alignment. Familiarity with NGS datasets, RNA-Seq data analysis, and public repositories (NCBI, SRA). Strong ability to interpret complex genomic data and communicate actionable recommendations to laboratory scientists and cross-functional teams. Excellent documentation, reporting, and traceability practices aligned with regulated environments. Ability to work collaboratively in a fast-paced R&D environment. This position is not currently eligible for visa sponsorship. Preferred: Experience with high-performance compute environments (GPU systems, multi-core servers, RAID storage). Knowledge of diagnostic assay chemistries (RT-PCR, TMA, Invader, qStar, or similar). Experience supporting Design History Files or regulatory submissions for diagnostic products. Familiarity with melting-temperature modeling and thermodynamic tools (e.g., MELTING5). Experience contributing to feasibility, verification, and validation of molecular assays. The Key Working Relationships Internal Partners: Molecular Assay Development Team – collaborative design, primer/probe review, troubleshooting recommendations. Virology & Microbiology Teams – input on organism selection and genomic real estate. Systems Engineering & Data Science – integration of computational tools, pipeline scaling, and systems compatibility. R&D Program Management – timeline alignment, risk mitigation, and feasibility assessments. Quality & Regulatory Affairs – documentation, traceability, and design history support. Software/IT Infrastructure – high-performance server maintenance, data storage, and workflow optimization. External Partners: Bioinformatics tool vendors / software partners – coordination on licensed or optional computational tools (e.g., OMP engine). Academic collaborators / genome repositories – access to genomic/transcriptomic datasets. External sequencing partners or CROs – support additional data generation or large-scale analyses when needed. The Work Environment The work environment characteristics are representative of a laboratory/ BSL 2 environment and includes handling of viral and bacterial hazards, potentially hazardous chemicals, as well as infectious or potentially infectious bodily fluids, tissues, and samples. Up to 75% standing or sitting extended periods of time. Flexible work hours to meet project deadlines. Physical Demands Position requires ability to lift up to 20 lbs. on a regular basis. Walking, standing, and sitting for long periods of time (up to 75% of the day) are routine to accomplish tasks in this role. Specific vision abilities required by this job include close and distance vision and the ability to adjust focus. Personal protective equipment is required as posted. Salary Transparency The salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on the facts and circumstances of each case. The salary range for this position is $125,000 to $150,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time), and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. Equal Opportunity QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform the duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at recruiting@quidelortho.com. QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most – home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. Return to Job Search Important: Don’t see a current job opportunity that is just right for you? Take 2 minutes and create a custom job alert which will notify you when we post a position which matches your interests. It is quick and easy and will make your career search easier. or Visit the QuidelOrtho to learn about our solutions, products, and services. QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform their job related duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at recruiting@quidelortho.com US QuidelOrtho EEO and AAP Policy Statement US Equal Employment Opportunity Posters

Bioinformatics Specialist (Infrastructure Focus) - REQID0002491 Computational Biology | Job ID: REQID0002491 The Stowers Institute has an opening for a Bioinformatics Specialist to assist the Computational Biology core facility with biological data processing and analysis. The Bioinformatics Specialist will use computational tools to process, transform, visualize, and analyze datasets primarily derived from high-throughput sequencing experiments. We are seeking an intellectually curious and motivated individual who will thrive in a collaborative, biology-driven team environment. The primary focus of this position will be on developing and maintaining analysis infrastructure (pipelines, tools, and genome annotation resources) that support the institute's diverse research programs. There will also be an opportunity to work directly with researchers on collaborative data analysis projects. Key Responsibilities: Develop and maintain robust, scalable pipelines for multiple sequencing platforms (Illumina, PacBio, Oxford Nanopore, etc.) Troubleshoot and manually process data for custom protocols or pipeline failures. Collaborate with IT and high performance computing team to develop or optimize pipelines Use R and Python for high-throughput genomic data analysis and visualization Follow group best practices to maintain reproducibility and organize results Minimum Requirements: Undergraduate or Masters degree in Computer Science , Bioinformatics, Computational Biology, or a related computationally oriented discipline Proficiency with one or more scripting languages (including Python) Experience working in a Unix/Linux environment Basic understanding and interest in Biology Preferred Skills: Experience with R, Bioconductor, Shiny, and Nextflow Experience with cluster computing (Especially slurm) Experience writing computational pipelines The ideal candidate will have strong problem solving abilities, excellent communication and organization skills, good attention to detail, and the ability to manage multiple projects effectively. Software engineers and trained computer scientists with relevant skills and interest in biology are encouraged to apply. Application Instructions: To apply, please submit the requested documents to careers@stowers.org or to Administration Department, Stowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 64110.