Bioinformatics Jobs

About the Company Our client is a rapidly developing clinical-stage biotechnology company focused on highly personalized cancer therapeutics, with a particular emphasis on individualized mRNA-based cancer vaccines. The company is building a technology platform designed to translate patient-specific tumor biology into personalized therapeutic products. As the organization advances its clinical programs and increases patient volume, it is seeking a senior computational leader to own and scale the bioinformatics infrastructure underpinning this process. This is a highly visible opportunity to join an ambitious, technically sophisticated organization at a pivotal stage of development. The Opportunity The company is seeking a Director / VP, Bioinformatics & Computational Oncology to take ownership of its computational and bioinformatics infrastructure supporting personalized cancer vaccine programs. This is not a pure management position. The successful individual will initially remain highly hands-on, working directly with patient sequencing data, developing and improving production pipelines, investigating complex genomic findings, and collaborating closely with scientific and clinical teams. The role will span the complete computational workflow from patient tumor sequencing through genomic interpretation, neoantigen identification and prioritization, and personalized vaccine design. Over time, the individual will establish the architecture, processes and team required to transform an increasingly patient-specific workflow into a scalable computational platform capable of supporting significantly greater clinical volume. Key Responsibilities Computational Oncology & Patient-Specific Genomics Own the computational analysis supporting individualized cancer vaccine programs from raw patient sequencing data through vaccine design.Lead production analysis of tumor/normal WES and WGS and tumor RNA-seq datasets.Develop and oversee workflows for:Somatic SNV and indel callingCopy-number and other genomic alterationsGene-expression analysisHLA typingNeoantigen identification and prioritizationStructural-variant and fusion detectionIntegration of genomic and transcriptomic dataInterpret patient-specific genomic and transcriptomic findings in the context of tumor biology, clonality, variant allele frequency and sequencing limitations.Independently investigate ambiguous or technically challenging patient-specific findings and determine the appropriate computational approach.Support scientific teams through patient design review and design-lock activities, translating complex computational findings into clear, actionable conclusions.Production Bioinformatics Platform Take ownership of existing computational workflows and establish robust, reproducible production infrastructure.Build and maintain scalable bioinformatics pipelines capable of supporting multiple individual patient programs.Establish appropriate standards for:Quality controlData provenanceVersion controlReproducibilityPipeline validationDocumentationAuditabilityIdentify opportunities to automate manual elements of the current tissue-to-dose computational workflow.Develop infrastructure that allows increasing patient volume without a proportional increase in manual computational effort.Work across Linux/HPC and cloud-based computational environments as appropriate.Technology & Innovation Evaluate and appropriately incorporate emerging computational approaches, including AI/ML and advanced models for biological data.Work with external AI and computational collaborators to translate promising approaches into practical, validated workflows.Evaluate opportunities to incorporate agentic workflows and automation into the broader computational platform.Balance scientific innovation with the robustness, reproducibility and traceability required for clinical-stage development.Cross-Functional Collaboration Partner closely with scientists, immunologists, clinical teams and other technical functions throughout individual patient programs.Translate complex genomic and computational outputs into clear conclusions for non-computational stakeholders.Participate in patient-specific design discussions and contribute computational expertise to key development decisions.Work with external sequencing providers, technology partners and other collaborators where required.Ensure computational outputs are appropriately documented a

Data Scientist (Bioinformatics), IS- 1560- 11Application Deadline: 12 October 2026 Department: Smithsonian Tropical Research Institute Employment Type: Full Time Location: Washington, DC Compensation: $85,447 - $91,145 / year DescriptionOPEN DATE: September 11, 2026 CLOSING DATE: October 12, 2026 POSITION TYPE: Trust FundAPPOINTMENT TYPE: Temporary for 2 years SCHEDULE: Full Time DUTY LOCATION: Washington, DC, National Museum of Natural History Position sensitivity and risk: Non-Sensitive - Low risk Who May Apply: Open to all qualified applicants What are Trust Fund Positions? Trust Fund positions are unique to the Smithsonian. They are paid for from a variety of sources, including the Smithsonian endowment, revenue from our business activities, donations, grants and contracts. Trust employees are not part of the civil service, nor does trust fund employment lead to Federal status. The salary ranges for trust positions are generally the same as for federal positions and in many cases trust and federal employees work side by side. Trust employees have their own benefit program, which may include Health, Dental & Vision Insurance, Life Insurance, Transit/Commuter Benefits, Accidental Death and Dismemberment Insurance, Annual and Sick Leave, Family Friendly Leave, 403b Retirement Plan, Discounts for Smithsonian Memberships, Museum Stores and Restaurants, Credit Union, Smithsonian Early Enrichment Center (Child Care), Flexible Spending Account (Health & Dependent Care). Conditions of Employment Pass Pre-employment Background Check and Subsequent Background Investigation for position designated. Complete a Probationary Period. Maintain a Bank Account for Direct Deposit/Electronic Transfer. The position is open to all candidates eligible to work in the United States. Proof of eligibility to work in U.S. is not required to apply. Applicants must meet all qualification and eligibility requirements within 30 days of the closing date of this announcement. OVERVIEWThis position is located in Washington, DC, within the Forest Global Earth Observatory (ForestGEO), Smithsonian Tropical Research Institute (STRI), under the Office of the Under Secretary for Science and Research at the Smithsonian Institution (SI). STRI provides a global platform for research on tropical forests and marine ecosystems, biodiversity, and human well-being. The ForestGEO program is a global network of scientists and forest research sites dedicated to advancing the long-term study of the world's forests. The GEO-TREES initiative builds on this network to improve the accuracy and verification of global forest carbon estimates through collaboration among forest research sites worldwide. The Data Scientist supports the Forest Global Earth Observatory (ForestGEO) and GEO-TREES programs as a liaison between site-based data collection and the development of analytical data products. DUTIES AND RESPONSIBILITIESData Management, Scientific Analysis, and Software Programming (50%) Performs data-management, computational, and bioinformatics assignments supporting research in tropical biology, ecology, and forestry. Develops, implements, modifies, and maintains data-processing pipelines used to process plot-based tree inventory and related ecological data and to derive estimates such as forest woody biomass density. Evaluates the performance of existing data-processing pipelines and recommends modifications or improvements based on data characteristics, analytical requirements, user needs, and experience working with ForestGEO and GEO-TREES site teams. Develops and modifies computational procedures for analysis of ForestGEO and GEO-TREES scientific data using established data-science principles, methods, and practices. Processes, validates, organizes, and manages tree inventory, Global Navigation Satellite System (GNSS), Airborne Laser Scanning (ALS), and Terrestrial Laser Scanning (TLS) data for scientific analysis and long-term storage. Supports the archiving and long-term management of scientific datasets to ensure appropriate organization, documentation, accessibility, and usability. Develops and maintains data-management solutions and informatics workflows for data acquisition, formatting, validation, processing, analysis, use, and storage. Implements established data standards and contributes to the development and modification of data structures and architectures appropriate to assigned projects. Writes, tests, documents, troubleshoots, and maintains computer code used in data-processing and analytical workflows. Uses programming languages and tools such as R, Python, SQL, Git, GitHub, GIS applications, and related scientific and data-management software. Identifies data-quality problems, inconsistencies, missing values, formatting issues, and other anomalies and determines appropriate methods for correcting or documenting them. Works with researchers and other technical personnel to ensure that processed data and analyticalproducts meet established scientific and program requirements. Requirements Gathering and Technical Support (25%) Works closely with researchers and program personnel to identify data-processing, analytical, software, and data-management requirements for assigned scientific projects. Conducts technical analyses of available methods and alternatives and recommends appropriate software tools, workflows, calculations, and analytical approaches. Assists researchers in translating scientific requirements into practical data-processing and computational solutions. Evaluates existing workflows and recommends modifications when established approaches do not fully address the characteristics of the data or requirements of an assigned project. Coordinates with site representatives concerning timelines and technical requirements for acquisition and submission of plot inventory, TLS, ALS, GNSS, and related scientific data. Reviews submitted data to determine whether established ForestGEO and GEO-TREES formatting, documentation, and data-quality requirements have been met. Works with site personnel to resolve routine and moderately complex data-submission and data-quality problems. Coordinates with the Office of the Chief Information Officer (OCIO) and other appropriate technical staff to ensure assigned development activities follow applicable systems-development, documentation, version-control, security, and software-development practices. Prepares technical documentation describing data-processing workflows, code, data structures, analytical procedures, and related methods. Assists in testing new or modified software tools, workflows, and procedures prior to implementation. Training and Collaboration (25%) Develops and provides formal and informal training to researchers, site personnel, and program partners concerning ForestGEO and GEO-TREES data systems, data-management procedures, formatting requirements, data-processing workflows, and related tools. Serves as a technical point of contact for tree-inventory teams and other users at assigned ForestGEO and GEO-TREES sites. Provides advice, training, troubleshooting assistance, and technical support concerning data collection, formatting, cleaning, validation, processing, documentation, and submission. Explains data standards, analytical procedures, software requirements, and data-management practices to researchers and partners with varying levels of technical expertise. Collaborates with scientists, data managers, programmers, and other personnel to identify and resolve data-management and processing problems. Participates in meetings, working groups, and collaborative activities involving ForestGEO, GEO-TREES, Smithsonian staff, and domestic and international research partners. Shares information concerning lessons learned, recurring data problems, workflow improvements, and effective data-management practices with program staff and partners. Performs other duties as assigned. QUALIFICATION REQUIREMENTSEducation and Experience: Professional knowledge of and skill in applying a wide range of data-science principles, concepts, methods, and practices sufficient to perform difficult data-management, processing, computational, and analytical assignments involving ecological and forestry data. Knowledge of data acquisition, data cleaning, validation, transformation, integration, storage, analysis, visualization, documentation, and reproducible computational workflows. Knowledge of computational and data-management methods is required to develop, modify, implement, and maintain processing pipelines for tree inventory, GNSS, ALS, TLS, spatial, and related scientific datasets. Knowledge of programming concepts and skill in applying programming languages and analytical tools such as R, Python, SQL, Git, GitHub, and related software to manipulate, process, analyze, and manage scientific data. Knowledge of algorithm development, software testing, version control, debugging, documentation, deployment, and maintenance practices is required to support scientific applications and data-processing workflows. Knowledge of spatial-data concepts, common spatial-data formats, and GIS software is required to process and evaluate geospatial information associated with ForestGEO and GEO-TREES projects. Knowledge of the scientific concepts associated with ecology, tropical biology, forestry, or related environmental sciences sufficient to understand data characteristics, research requirements, analytical objectives, and the relationships among data variables. Knowledge to select and modify appropriate data-processing and analytical methods; identify and resolve data-quality problems; evaluate alternative computational approaches; interpret results; develop recommendations; and prepare technical documentation and analytical products. Skill adapting or modifying established data-science techniques and procedures to address differences in data structure, quality, collection methods, analytical requirements, or site-specific circumstances. Education completed outside the United States must be deemed equivalent to higher education programs of U.S. Institutions by an organization that specializes in the interpretation of foreign educational credentials. This documentation is the responsibility of the applicant and should be included as part of your application package.Any false statement in your application may result in rejection of your application and may also result in termination after employment begins.Join us in "Inspiring Generations through Knowledge and Discovery." Resumes should include a description of your paid and non-paid work experience that is related to this job; starting and ending dates of job (month and year); and average number of hours worked per week. What To Expect Next: Once the vacancy announcement closes, a review of your resume will be compared against the qualification and experience requirements related to this job. After review of applicant resumes is complete, qualified candidates will be referred to the hiring manager.Relocation expenses are not paid. The Smithsonian Institution provides reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation should contact strisearch@si.edu. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. To learn more, please review the Smithsonian’s Accommodation Procedures. The Smithsonian Institution is an Equal Opportunity Employer. To review The Smithsonian's EEO program information, please click the following: https://www.si.edu/oeo

Natera is seeking a Lead Bioinformatics Scientist to join our Oncology Bioinformatics team and support the development, validation, and clinical application of our NGS-based assays. The ideal candidate has a strong background in data analysis for wet lab support and extensive experience with NGS data, with a focus on building solutions for oncology applications. In this role, you will shape the analytical validation strategy for an NGS assay, design and analyze feasibility and performance evaluation studies, and generate real-world evidence demonstrating its clinical utility. You will work with interdisciplinary teams to turn complex, multi-source data into actionable recommendations, supporting research, product development, validation, regulatory submissions, clinical studies, and scientific publications. PRIMARY RESPONSIBILITIES: Lead the analytical validation strategy for an NGS-based assay, including designing, analyzing, and troubleshooting feasibility and performance evaluation studies (e.g., PPA and LoD) with bench scientists and biostatisticians. Drive real-world evidence (RWE) studies that demonstrate the clinical utility of for therapy selection and patient management, from cohort selection through analysis of plasma mutation calls. Build rapid prototypes and pipelines for custom analyses that integrate data from multiple Natera products. Develop algorithms and tools to support new products, including contributions to the production bioinformatics pipeline. Act as an internal technical consultant on bioinformatics methodology for other functional groups. Work closely with assay development, engineering, biostatistics, clinical, commercial, regulatory, and lab operations teams. Contribute to regulatory submissions, clinical study reports, and scientific publications. QUALIFICATIONS Master's degree in bioinformatics (or a related field) with 10 years of post-graduate experience, or PhD with 5 years of post-graduate experience (preferred). KNOWLEDGE, SKILLS, AND ABILITIES: Expert knowledge of bioinformatics tools for NGS, including sequencing QC and secondary analysis such as variant calling. Experience with WES/WGS/targeted sequencing of tissue and cfDNA, and with somatic variant calling (SNVs, indels, CNVs, fusions) on these data. Working knowledge of statistical methods for assay performance evaluation, and ability to collaborate with biostatisticians on study design. Strong programming and scripting skills in Python, R, and shell. Fluency in exploratory data analysis and visualization of complex datasets, with the ability to distill observations into actionable recommendations. Deep understanding of NGS workflows from sample extraction to sequencing, and the ability to link bioinformatic findings to wet lab root causes. Ability to communicate effectively with wet lab groups and cross-functional partners, and to explain technical concepts clearly. Ability to work independently while managing multiple objectives and timelines. Comfort adapting quickly when experimental results change the plan, and a desire to work in a fast-paced environment with high impact in a small team. PREFERRED: Experience supporting regulated or clinical-grade assay development (e.g., CLIA/CAP, FDA submissions), including analytical validation studies. Familiarity with clinical genomics, including oncogenic drivers, actionable biomarkers, targeted therapies, and variant interpretation in oncology. Experience with translational or real-world data analysis, including integrating clinical and genomic data. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $130,900-$163,600 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: - BBB announcement on job scams - FBI Cyber Crime resource page

Scientist I – Computational Biology and Bioinformatics Join to apply for the Scientist I – Computational Biology and Bioinformatics role at Allen Institute. The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi‑scale, team‑oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science. Join the Seattle Hub for Synthetic Biology (SeaHub), a new initiative at the intersection of academic creativity and start‑up style execution. Our mission is to reimagine living cells and genomes as devices for recording biology and diagnostic information over time, as well as for encoding real‑time therapeutic decision‑making. Take off with us as we imagine and create a kind of cellular flight recorder that can also seize the controls. Be part of a small dynamic team on the ground floor of a new program with world‑class scientists. SeaHub is looking for a Scientist I, Computational Biology and Bioinformatics for the “Read” team. The computational biologist should have a very strong background in each of two areas: 1) next‑generation genomic technology development methodology and 2) writing ad hoc and bespoke bioinformatics scripts in Python and R to do detailed bioinformatics analyses of next‑generation sequencing data. The role will include leading the effort to process and analyze large amounts of diverse sets of sequencing data (both short‑read and long‑read) to draw conclusions from wet‑lab experiments, in close collaboration with teams focused on expanding our abilities to engineer cells and genomes to autonomously “Write,” “Sense,” and “Act” at a molecular level. The successful candidate will play a key role in advancing our ability to record lineage and signaling information in the genomes of mammalian cells. This position requires a collaborative mindset, timeline‑management abilities, and the ability to work cross‑functionally with other research teams to drive project success. At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal‑opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Essential Functions Develop next‑generation sequencing analysis scripts and pipelines that run on cloud‑based architectures (CodeOcean, AWS) Manage cloud‑based data transfer and storage on AWS and other cloud‑based servers Independently perform in‑depth bioinformatics analyses on generated sequencing data from wet‑lab experiments and work with experimental teams to guide project direction Develop and disseminate written reports summarizing data processing and analysis results and findings with a reasonable turnaround time Develop bespoke computational biology tools and bioinformatics scripts as needed to advance internal research projects Follow industry software development and bioinformatics best practices – participate in code reviews, version code, track issues, and write proper documentation Troubleshoot technical barriers to progress in the reading of synthetic records Maintain a detailed electronic notebook and create presentations to summarize progress and frame internal decision‑making Mentor and motivate others to perform the above functions Required Experience And Education PhD in genetics, genomics, computational biology, bioinformatics, or related field; or equivalent combination of education and experience Very strong coding ability in R and python Preferred Education And Experience 0 – 5 years relevant post‑doc experience Expertise in functional genomics and screening, single‑cell genomics, synthetic biology, or related domains, including demonstrated mastery of molecular biology Track record of working as part of a team and understanding the importance of team dynamics Understanding how data is generated from wet‑lab experiments in a molecular biology / cell culture laboratory Expertise with AWS and CodeOcean cloud computing Outstanding scientific achievement Experience with molecular biology, mammalian cell culture, stem cell culture, developmental biology or immunology, genomics, and mouse genetics Experience with lineage tracing algorithm development Excellent written and verbal communication skills Strong project management and organizational skills Excellent analytical and problem‑solving skills combined with capacity for complex, detail‑oriented work Physical Demands Fine motor movements in fingers/hands to operate computers and other office equipment Position Type / Expected Hours of Work This role is currently working onsite and is expected to work onsite for the majority of the working hours. We are a Washington State employer, and the primary work location for Allen Institute employees is 700 Dexter Ave N.; any remote work must be performed in Washington State. Travel The successful applicant may be invited to attend occasional national and international conferences Additional Comments **Please note, this opportunity offers relocation assistance** **Please note, this opportunity may offer work visa sponsorship** Annualized Salary Range $92,250 - $114,100 * Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable. Benefits Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institute’s Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits . It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. #J-18808-Ljbffr

Bioinformatics & Computational Single-Cell Genomics Expert is a remote review track for evaluating AI outputs across bioinformatics computational single cell genomics specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it. Why this role matters Bioinformatics Computational Single Cell Genomics specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide whether a task actually gets done. Responsibilities Review AI outputs against current bioinformatics computational single cell genomics specialist operations workflows, playbooks, and firm policy for Bioinformatics & Computational Single-Cell Genomics Expert assignments. Grade tone, escalation logic, and stakeholder fit on a structured rubric. Flag operational risk, missed escalations, and policy-adherence gaps with severity tags. Capture the right next step so the modeling team can train on it. Adjudicate disputed treatments against published playbooks or firm guidance. Maintain reviewer-quality scores in inter-rater calibration cycles. Qualifications Direct working experience in bioinformatics computational single cell genomics specialist operations on real teams for Bioinformatics & Computational Single-Cell Genomics Expert work. Comfort applying multi-page rubrics consistently across long batches. Clear written reasoning that names the policy or workflow being applied. Strong attention to detail and the ability to flag when a prompt itself is the problem. Reliable async availability for at least 10 hours per week. Example tasks Grade a model's response to a real bioinformatics computational single cell genomics specialist operations ticket and rate workflow, tone, and escalation. Flag a missed escalation with the right severity tag and corrected next step. Adjudicate a disputed playbook call between two reviewers using firm guidance. Audit a 25-row batch for rubric consistency and report drift to the program lead. Nice to have Prior experience training, calibrating, or QA-ing operations teams. Familiarity with AI-assisted workflow tooling and its failure modes. Bilingual experience for cross-region operations. Skills Operational review Policy adherence Workflow judgment Stakeholder communication Bioinformatics Computational Single Cell Genomics specialist operations Work model Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US. Compensation $70–$100 / hr Application process Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.

The Allen Institute is seeking a Scientist I for our Molecular Genetics department to analyze single-cell genomics data and contribute to groundbreaking research in the peripheral nervous system. Ideal candidates will hold a Ph.D. in Bioinformatics, have strong programming skills in R and Python, and demonstrate experience in single-cell genomics. This role offers hybrid working opportunities and significant collaboration within a supportive team environment. #J-18808-Ljbffr

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. Why Us We are a multi-disciplinary and multinational team focused in using next-generation sequencing technology to transform human health and save patient’s lives. Our team works at the interface of research and clinical practice developing and improving innovative algorithms to biomarkers and variants that fill gaps in clinical practice, focusing primarily on oncology. We collaborate deeply with internal and external teams, to augment DRAGEN, Illumina’s software platform to analyze high-throughput sequencing data, remove barriers for its use in clinical settings, and develop new biomarkers in areas such as MRD and methylation. Why You We know the importance of your role and offer you a collaborative and supportive environment in which you are actively encouraged to develop your skills and knowledge. Illumina's mission is to improve human health by unlocking the power of the genome - if that inspires you, let's talk. If you are excited as we are about using genomics to transform the practice of medicine, have a proven track record of algorithm development, data analysis, and strong coding ability, this is the role for you. You will be part of a culture fueled by innovation, collaboration, and openness. To be successful as a Staff Bioinformatics Scientist, you will need a background in bioinformatics with a particular focus on algorithm development, biomarkers and oncology. Previous experience with at least two: statistics, common bioinformatics methods, next generation sequencing analysis, and oncology will be key to your success. This role may be performed remotely within the US but the position requires accommodation to meeting times to overlap with Pacific time zone hours. The Role The Staff Bioinformatics Scientist will drive the development of algorithms for detecting minimal residual disease in ctDNA samples using signals from small variant calling, copy number calling, fragmentomics, and methylation. This role will also assist in improving algorithms for therapy selection across a range of variant types and biomarkers. Responsibilities: Prototype novel NGS algorithms for clinical oncology use cases such as MRD Assess and improve existing secondary analysis algorithms for variant and biomarker detection In collaboration with external and internal experimental teams, design and analyze experiments to support existing or new Illumina oncology assays. Provide technical guidance to internal and external collaborators. Participate in cross functional assay and algorithm R&D teams with minimal oversight. Effectively communicate plans and results across functions Requirements: PhD in bioinformatics, computation biology, statistics, math or related field with 3+ years industry experience Fluency in at least two of statistics, common bioinformatics methods NGS analysis, and oncology. Proven track-record with developing bioinformatics NGS algorithms beyond leveraging already existing tools. Fluency in programming languages such as Python. Experience with C++ is desired Good communication skills to contribute to cross functional project teams and work with stakeholders. #LI-REMOTE The estimated base salary range for the Staff Bioinformatics Scientist -- Oncology/MRD Algorithm Development role based in the United States of America is: $155,600 - $233,400. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. 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. 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 wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off. 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. 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.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The Senior Bioinformatics Scientist will serve as a technical lead and subject matter expert within the Minimal Residual Disease (MRD) program, working collaboratively with senior scientists and leaders on complex Research and Development projects. In this role, you will participate in or lead the planning of projects and analyses, and often act as the bioinformatics lead responsible for successful project execution. You will independently determine methods and procedures for new assignments, make detailed observations, analyze data, interpret results, and provide insights that shape the next steps and direction of the project. Your work will center on developing novel methods to identify and integrate genomic and epigenetic biomarkers that improve the sensitivity and specificity of MRD assays, contributing end-to-end across the data science workflow: collecting public datasets, curating internal data, forming hypotheses, building and validating models, and exploring machine learning and AI-based approaches. You will also research new technologies, contribute ideas and concepts to improve or develop processes, and help establish methods and workflows that advance product development toward diagnostic assay products. Essential Duties Include, but are not limited to, the following: Technical leadership: Serve as bioinformatics lead and subject matter expert on one or more complex R&D projects, including those supporting diagnostic assay product development, and lead or participate in project and analysis planning. Analysis and interpretation: Independently analyze experimental data across several product or technology areas, interpret results, identify trends, problems, and discrepancies, and recommend next steps and project direction. Complex problem solving: Tackle problems of extremely complex scope where intangible variables must be evaluated, applying independent judgment to define methods, techniques, and evaluation criteria. Method and study design: Independently develop methods, procedures, and development plans for new studies, and give technical input on project planning and experimental design. Data and computational management: Manage bench-generated data and bioinformatics outputs in HPC or cloud computing environments, selecting and applying the right methods and technologies. Data quality: Evaluate the impact of nonconforming data on products or processes and address trends in study data. Innovation and IP: Track industry and technology developments, propose new techniques, lead process improvements, and contribute to the intellectual property portfolio. Communication and presentation: Present and defend scientific findings at data, group, project, and departmental meetings, and communicate clearly with stakeholders at all levels, including functional managers and the clinical lab. Documentation and compliance: Prepare and approve technical procedures, protocols, and reports, support abstracts, conferences, and publications, and follow legal, ISO, QSR, and Quality Management System requirements. Mentorship and collaboration: Train and mentor research associates and junior scientists, foster a trusting, collaborative team environment, and manage multiple projects with shifting priorities. Maintain regular and reliable attendance. Ability to act with an inclusion mindset and model these behaviors for the organization. Ability to travel 5% of working time away from work location, may include overnight/weekend travel. Minimum Qualifications Ph.D. 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 Ph.D.; or Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of Ph.D. 5+ years of industry or academia experience in bioinformatics. 3+ 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. Technical expert in the area of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. Knowledge of product/assay research, design, or development. Working knowledge of statistical and mathematical methods in biology/genetics 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 8+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. Previous experience as a project lead for a team of scientists. 1+ years of direct people leadership and management experience. Previous industry experience in product development or technical support. Background containing a substantial amount of bioinformatics work including troubleshooting. Previous experience working in a molecular diagnostics/clinical laboratory setting. The base pay for this position is $90,000.00 – $180,000.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY: Research and Discovery DIVISION: ONCO Cancer Diagnostics LOCATION: United States > La Jolla : Torrey Pines Science Park ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: No MEDICAL SURVEILLANCE: No SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential — because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions — across the spectrum of health, around the world, for all stages of life. Whether it’s next-generation diagnostics, life-changing devices, science-based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health. The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well-being of millions of people. They push the boundaries to help manage and treat some of life’s greatest health challenges. We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce. Follow Us: Facebook LinkedIn YouTube Twitter

Overview InternWorks is seeking an experienced professional in Biotechnology, Bioinformatics, or Biomedical Engineering to mentor a motivated high school or college student through a structured, project-based virtual internship. We are the largest private high school/college internship program in the US. We provide our student interns with a 60-hour internship experience bolstered by a robust career-readiness curriculum. Our internship programs provide students with an opportunity to explore potential careers, develop practical skills, and gain exposure to real-world professional environments. We are looking for a knowledgeable, enthusiastic professional who enjoys sharing their expertise and helping students explore the exciting possibilities within the life sciences and biomedical fields. The mentor does not need to create extensive curriculum. Instead, we're seeking someone who can coach, challenge, and support a motivated student as they work through analytics projects. Mentors must meet with student interns at least once weekly and be available by email to answer student questions and provide support. Most internships are planned for 4 - 6 weeks. The expected time allocation should be 8 - 10 hours. Responsibilities Meet virtually with the student on a regular basis to provide guidance, instruction, and professional mentoring. Develop meaningful, age-appropriate projects and assignments that introduce students to practical applications within your area of expertise. Introduce relevant industry tools, technologies, methodologies, and emerging trends. Guide students through research, data analysis, problem-solving, and project development. Review assignments, provide constructive feedback, and encourage independent thinking. Share insights into educational pathways, career opportunities, and professional experiences. Help students develop transferable skills, including critical thinking, communication, research, and project management. Provide feedback on the student's progress and a brief final evaluation. Preferred Background & Qualifications Computational Biology Molecular Biology or Genetics Medical Devices or Biomedical Technology Pharmaceutical or Biotech Research Strong understanding of real-world industry applications and current technologies. Ability to translate complex scientific concepts into engaging, accessible learning experiences. Excellent communication and interpersonal skills. Experience mentoring, teaching, supervising interns, or working with students is preferred. Ability to develop meaningful virtual projects that do not require access to specialized laboratory equipment. Ideal Candidate Enjoys teaching and mentoring students Strong communicator Patient and encouraging Experience supervising interns, analysts, or junior team members is a plus Experience in sports organizations, consulting firms, startups, corporations, or analytics-focused teams is welcome

Bioinformatics Scientist I – Neuroimmunology The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi‑scale, team‑oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science. The mission of the Allen Institute for Immunology is to advance the fundamental understanding of human immunology through the study of immune health and diseases where excessive or impaired immune responses drive pathological processes. The Institute employs a multi‑disciplinary team approach in collaboration with academic centers of human immunology to generate novel mechanistic insights into the immune synapse in health and in diseases such as autoimmunity or oncology. The Institute will simultaneously provide a foundational data set and tools for future immunological research as well as a novel collaboration portal for the broader scientific community. The Allen Institute for Immunology is seeking a Bioinformatics Scientist I – Neuroimmunology to analyze multi‑omics data to gain new biological insights in neuroimmunology. Reporting to the Director of Informatics & Computational Biology at the Allen Institute for Immunology, the ideal candidate is a self‑motivated team player who can work closely with immunologists and bioinformaticians, is an expert in analyzing multi‑omics data, and has a track record of discovering novel biological insights. The successful candidate will also have excellent communication skills that can represent our efforts to our stakeholders internally and in external forums. At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal‑opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Essential Functions Analyze multi‑omics data from neuroimmunology projects, including but not limited to: spatial transcriptomics, scRNA‑seq, proteomics, flow cytometry, and/or imaging Work closely with cross‑functional teams to discover new insights in neuroimmunology, either as an independent contributor or as a project leader under minimal supervision Write reports, research papers, patent applications, and other documents Represent our efforts to our stakeholders internally and in external forums Contribute to a rigorously scientific, cohesive and efficient team environment Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. Required Education and Experience PhD in bioinformatics, biostatistics, computational biology; or PhD in immunology or neuroscience, or related disciplines including molecular biology and cell biology with extensive bioinformatics experience; or equivalent combination of degree and experience Preferred Education and Experience Demonstrated experience in analyzing diverse omics data, including but not limited to: spatial transcriptomics, scRNA‑seq, proteomics, flow cytometry, and/or imaging Previous experience in neuroimmunology Familiar with Spatial Biology technologies A track record of discovering novel biological insights from omics data Foundational knowledge of bioinformatics Experience with R and/or Python Strong publication record Familiar with advanced statistical methods and machine learning for biomarker discovery Experience working in a cross disciplinary, team‑based environment Experience working with outside collaborators to achieve defined objectives Familiarity with cloud computing and/or Linux Experience using Git or similar version control system Excellent written and verbal communication skills and organizational skills Good problem‑solving skills, curious and eager to take on new challenges Able to work independently as well as in a collaborative high‑paced environment The successful candidate must be self‑motivated, a team player, attentive to details, and able to handle multiple projects simultaneously Work Environment May enter laboratory environment - possible exposure to chemical, biological, or other hazardous substances Physical Demands Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment Position Type/Expected Hours of Work Occasional evening and weekend hours required This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State Travel Attendance and participation in national and international conferences may be required Additional Comments Please note, this opportunity offers relocation assistance Please note, this opportunity may offer work visa sponsorship Annualized Salary Range $92,250 - $114,100 * Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable. Benefits Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located on https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. #J-18808-Ljbffr