Bioinformatics Jobs

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 can work in a 100% remote capacity and must be located in the US. • 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. Required Work Experience: • 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 / 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 Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

About the position We are seeking a passionate scientist with a background in "omics" data analysis to join our team at Washington University School of Medicine. This position is part of a collaboration between the laboratories of Dr. Mayssa Mokalled and Dr. Aaron Johnson. The successful candidate will utilize innovative bioinformatics, machine learning, and statistical approaches to support NIH-funded research projects focused on the mechanisms regulating spinal cord repair and muscle regeneration. The project encompasses conducting analyses on next-generation sequencing data, as well as single-cell genomics, single-cell transcriptome data, and spatial transcriptomics. Highly motivated individuals will have the opportunity for advancement within this dynamic research environment. The Mokalled and Johnson labs are committed to mentoring and nurturing a creative, thoughtful, and collaborative lab culture. Located in the Department of Developmental Biology at Washington University School of Medicine in St. Louis, these laboratories are part of an internationally recognized research institution consistently ranked among the top five medical schools in the country. The extreme collegiality of Washington University, combined with the large Regenerative Medicine Community and extensive infrastructural and core facility support, creates a vibrant research environment in many areas of regenerative biology. This is an especially exciting time to join the Mokalled and Johnson labs, as they are expanding into fully funded and new research directions at the cutting edge of spinal cord and muscle regeneration. This position also offers opportunities for publications and conference presentations, enhancing the professional development of the appointee. Responsibilities • Implements algorithms and computer software for analyzing omics-based data sets, including high-throughput, massively parallel genomic/proteomic/clinical data. , • Develops data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. , • Coordinates research projects with other investigators and institutions. , • Participates in developing hypotheses and experimental design. , • Assists with reporting of methods, data, and results. Requirements • Bachelor's degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR a master's degree in computer science, bioinformatics, biostatistics, or related field; OR combined education and experience of seven years. , • Good understanding of computational biology. , • Ability to analyze and interpret large complex data sets, such as genome sequencing, microarray gene expression studies, human genetic studies, and model organism studies. , • Expertise in standard bioinformatics tools. Nice-to-haves • Analytical, reasoning, and problem-solving skills. , • Ability to communicate data in a clear, concise manner. Benefits • Up to 22 days of vacation, 10 recognized holidays, and sick time. , • Competitive health insurance packages with priority appointments and lower copays/coinsurance. , • Free Metro transit U-Pass for eligible employees. , • Forgivable home loan of up to $12,500 for closing costs and down payment for homes in eligible neighborhoods. , • Defined contribution (403(b)) Retirement Savings Plan with university contributions starting at 7%. , • Wellness challenges, annual health screenings, mental health resources, mindfulness programs, and employee assistance program (EAP). , • 4 weeks of caregiver leave to bond with a new child. , • Tuition coverage for employees and their families, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years.

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. The Senior Bioinformatics Scientist will work in a collaborative, cross-functional environment to drive the development of existing and new sequencing technologies. In this role, they will design and implement pipelines for data quality assessment, provide actionable insights from experimental data, and contribute to defining Illumina’s R&D data quality and product strategy. Responsibilities: • Plan and execute quality assessments for existing and novel sequencing technologies. • Collaborate with subject matter experts across R&D functions to understand, define, and communicate sequencing technology requirements for research and clinical applications. • Design, deploy, and optimize pipelines for secondary analysis and quality assessment of sequencing data. • Contribute to the development of automated testing infrastructure. • Drive the analysis, integration, modeling, and interpretation of experimental data. • Translate complex analysis results into actionable recommendations for technology development and improvement. Present results clearly and effectively to both technical and non-technical stakeholders. • Stay current on the latest publications and relevant research and identify established methods that should be incorporate into method development. Requirements: • Strong understanding of next-generation sequencing technologies and their underlying principles. • Proficient programming skills with experience in one or more languages, such as Python or R. • Experience working with Unix/Linux and High Performance Computing (HPC) environments. • Proficiency with common bioinformatics algorithms and methods. Hands on experience of quality control and analysis of data generated from a variety of omics, such as WGS, scRNA, somatic profiling, proteomics, methylation, etc. • Solid understanding of statistical and biological concepts; strong data analysis and visualization skills. • Strong data analysis and visualization skills. Desired: • Experience working with cloud environments (e.g., AWS). • Experience with workflow management languages, such as Nextflow, WDL, etc. • Familiarity with containerization tools, such as Docker, and similar technologies. • Excellent communication skills and a proven track record of collaborating with diverse teams. Education: • Masters/PhD in bioinformatics, computer science, data science, engineering, mathematics or equivalent • Typically requires a minimum of 3 years of related experience with a Master’s degree; or a PhD with 0-3 years of experience; or equivalent experience #LI-HYBRID The estimated base salary range for the Sr Bioinformatics Scientist role based in the United States of America is: $126,800 – $190,200. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data. 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. At Illumina, we strive to foster a diverse and inclusive workplace by cultivating an environment in which everyone contributes to our mission. Built on a strong foundation, Illumina has always been rooted in openness, collaboration, and seeking alternative views and 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 demonstrate our collective commitment to diversity and inclusion in the communities we live and work. 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. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship. Tagged as: Computer Science, Data Science, Life Sciences

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. Bioinformatics, US Operations – the role As a Bioinformatics Engineer, 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 Operations group, part of the Research and Development organization, in Advanced Diagnostics based in Marlborough, MA. 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 Operations group supports, hones, and executes the processes defined by our Engineering and Lab Operations groups with emphasis on compliance and continuous improvement. While coupled tightly to regulation through standards in validation, documentation, and data retention, the group is an integral part of the development cycle of our analysis workflows and visualization. This position is 100% remote and the professional must be located in the US. • Execute and improve sequence analysis workflows and automation • Track, troubleshoot and mitigate issues encountered in processing production samples • Assist in planning and development of solutions to recurring issues to be merged back into development branch maintained by the Engineering group • Develop web-based results display and dashboards for clinical geneticists, medical directors and operations lab personnel providing clarity in our process • Generate, wrangle, merge and glean information from varied and complex data sets Design and implementation of RESTful APIs linked to various systems including LIMS, AWS job runners and other systems necessary for data processing and execution • Design and perform validation, testing, and production deployment of systems and software to standardize processes across all Quest Diagnostics genetic testing labs • Design and perform validation analysis for new genomic testing products. • Support production day-to-day operations • Write and maintain production documentation for compliance and supportability of all bioinformatics processes in production environment • Work directly with medical/quality/compliance to identify, track, resolve and report on any relevant quality-related issues • Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing • Perform LIS support duties (maintain database for user, tests, clients….) • Support interface, integration, and testing projects • Utilize a Software Development Life Cycle documentation procedure • Be an active team player and support the group • Accept input on solutions from other colleagues and teams • * 5 years experience using formal programming and scripting languages • 5 years experience working on a Linux command-line to process, parse, and merge varied data sets • 2 years experience working with web services and implementing API communications (REST, SOAP, etc.) • 3 years experience in a distributed HPC environment (cluster, cloud) • Knowledge and understanding of genomics, next-generation sequencing, and bioinformatics • Experience developing and testing software • Experience with source control in a development, testing, and production environment • Automated testing experience; CI/CD experience preferred • Knowledge of CAP documentation requirements a plus • Experience communicating technical results and data is desirable Current tech stack experience is a plus Examples: • Programming Languages: Python, PERL, Groovy, javascript, terraform • Web Frameworks: Python Flask, React Native, Bootstrap • Environments: R Statistical Language, iPython, Jupyter • Visualization: Plotly, matplot lib, ggplot2/tidyverse, Tableau, d3.js • Database: SQL (e.g., postgress, MySQL), MongoDB • Cloud Computing: AWS • Infrastructure management: terraform • Pipeline Workflow Manager: Nextflow • Source Control: Git • CI/CD: Gitlab, AWS CDK • Containerizing: Docker • Microsoft UI: Access, VBA, Macros Education: Bachelor’s Degree - Required Master’s Degree or PhD - Preferred Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

Overview Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The laboratory of Dr. Xueqiu Lin in the Computational Biology Program of the Public Health Sciences and Human Biology Divisions has an open position for a Bioinformatics Analyst I/II. We are seeking a highly motivated individual who will bring their knowledge and computational skills to the study of cancer functional genomics. Candidates who are excited to be part of a team working on computational/statistical model development and large/complex ‘omics’ data analysis of cancer genomes to study cancer are encouraged to apply. Please visit the lab website for more information: https://research.fredhutch.org/lin/en.html. The position has a competitive salary with great benefits. The Lin Laboratory uses CRISPR screen technologies, computational genomics, and interpretable deep learning models to study cancer risk and to advance precision medicine. We are building on this strong computational program by implementing wet-lab operations in a fully renovated laboratory space in the Lake Union Steam Plant Building, the newest Fred Hutch facility. The Steam Plant building is home to 23 laboratories consisting of 275 experts in computational biology, data science, and immunotherapy who use cutting-edge technologies and tools to revolutionize cancer treatment. We work in an interdisciplinary team environment with many local and external experts. All our projects involve partnering with investigators and laboratories who have diverse expertise in computational, genomic, molecular, experimental, and cancer biology, and in clinical research. The study areas for this position center on genomic regulation, single cell sequencing, chromatin and epigenetic profiling, cancer GWAS studies, high-throughput CRISPR screening and translation of cancer biomarkers to improve treatment strategies and develop CRISPR targeted therapy. The Bioinformatics Analyst I/II will work under the direction of the senior computational scientist to develop deep learning models and algorithm for deciphering the logic of regulatory code, work on a variety of bioinformatics analysis projects including bioinformatics method and software development; executing, improving, and developing bioinformatics pipelines based on evaluation of computational tools and reference databases; and working with experimental researchers to conduct and report data analysis using principles of good statistical scientific practice and reproducible research. Candidates with strong interest and/or expertise in any of these research areas are highly encouraged to apply • Application of statistical modeling, algorithm design, deep learning, machine learning and explainable artificial intelligence to study cancer and genetics. • Gene regulation, gene regulatory elements, cancer genomics, epigenetics, CRISPR high-content screen, genotype-environment interaction. • Analysis of large, complex CRISPR screen, genome, epigenome or transcriptome data To apply, please submit your application with the following: • Cover letter describing your experience and/or research interests is required. • Curriculum vitae • Example of your code either as (1) an attachment or (2) link(s) to public repositories (e.g. GitHub) Responsibilities The research interests/projects and responsibilities for this Analyst position in the Lin lab include: Bioinformatics Analyst I • Support and assist the senior computational scientist to develop deep learning models and implement algorithms. • Assist in the development and refinement of data analysis and integration methodologies and pipelines. • Generate figures and tables summarizing data outputs. • Work with research team to document, process, manage and store large datasets. • Developing and testing bioinformatics software. Bioinformatics Analyst II: • Interpret complex biological information, conduct statistical and genomic analysis. • Implement and maintain best practices in large-scale data management and database development. • Write custom scripts to access databases, perform and evaluate quality control and analyze Next Generation Sequencing (NGS) data. • Analyze FFPE-CUTAC to identify non-coding genomic mutations and interpret their function in oncogenic regulatory networks for novel biomarker identification and risk model development. • Develop and implement computational approaches to assist the design and development of high-throughput CRISPR screening. • Integrate the high-throughput CRISPR screening data with multi-omics data. • Prepare figures and written sections to document methods and results for manuscripts, presentations, and grant applications. • Engage in bioinformatics literature to ensure the availability of robust methods, resources, and data sources. • Present work at group meetings as well as occasional larger scientific meetings and contribute to scientific publications. Qualifications MINIMUM QUALIFICATIONS: Bioinformatics Analyst I: • Bachelor’s degree in one of these disciplines: Computer science, mathematics, statistics, physics, biostatistics, data science, bioinformatics, computational biology, computer/electrical engineering, or other related fields with at some prior experience applying computation analysis of large sequence-based molecular data in an academic research lab or industry setting. • Up to 2 years of experience with analyzing genome sequencing data. • Strong programming skills in R and Python. Bioinformatics Analyst II: All minimum qualifications from Level I, plus: • 3 years relevant experience, or a master’s degree with at least 1 year of relevant experience outside of the degree requirements PREFERRED QUALIFICATIONS: • Previous experience working with deep learning or statistical modeling • A background in cancer genomics • Experience working in and developing workflows for cloud computing environments • Experience with high performance computing environments • Strong skills in implementation of analytical tools at scale • Works well in team environments; strong communication skills; detail-oriented • Experience with pipeline management tools (Snakemake, WDL, Nextflow) Bioinformatics Analyst I: The annual base salary range for this position is from $77,976 to $102,211, and pay offered will be based on experience and qualifications. Bioinformatics Analyst II: The annual base salary range for this position is from $78,894 to $118,310, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months). Additional Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.

Job Title: Bioinformatics Scientist - III Location: Cambridge, MA Duration: 24 Months 02 Openings: 1 focusing on Genomic data & 2nd is for (Multi-Omics data & Transcriptomics analysis) Department: Data and Genome Sciences Group: Precision Genetics The Precision Genetics group within the Data and Genome Sciences Department is seeking a skilled Contractor to join our Computational Precision Genetics team. We are looking for a data scientist with extensive experience in genetic data analysis to contribute to our innovative research efforts. Key Responsibilities: • Data Ingestion: Query external databases to acquire relevant genetic/genomic datasets (e.g., dbSNP, 1000 Genomes Project, gnomAD, GTEx, Ensembl, Open Targets, ClinVar). • Genetic/Genomic Data Analysis: Perform quality control (QC) and analysis of genetic/genomic data, including genotype imputation from array data, variant calling and annotation using state-of-the-art methods (e.g., IMPUTE, Minimac, Eagle, BEAGLE, GATK, bcftools, samtools, ANNOVAR). • QTL Analysis: Conduct QTL analysis to identify genetic loci associated with quantitative traits, utilizing tools such as PLINK, R/qtl, or TASSEL. • Population Genetics Analysis: Analyze genetic variation across populations, including allele frequency estimation, linkage disequilibrium, and population structure analysis. • Data Integration: Integrate genetic datasets with other omics data, including genomic, epigenomic, transcriptomic and proteomic data, to provide comprehensive insights into gene function and regulation. • Documentation: Prepare detailed documentation of analysis methods and results in a timely manner. Quals: Required Qualifications, skills and experience: • Minimum: Ph.D. in Genetics, Genomics, Computational Biology, or a related field. • A proven track record of over 5 years in genetic data analysis. • Fundamental understanding of statistical methods and genetic data analysis and integration (e.g., variant analysis, population genetics, genomic annotations). • Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses. • Experience with high-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets). • A collaborative and self-motivated individual with a strong work ethic, capable of managing multiple objectives in a dynamic environment and adapting to changing priorities. • Excellent written and verbal communication skills. Preferred Qualifications: • Experience with real-world genetic data processing and analysis. • Proficient in genetic/genomic data analysis tools and techniques. • Understanding of statistical genetics principles and methods. • Expertise in AI/ML. Note: • Onsite role at Cambridge, MA. • Do not submit candidates who are looking for remote. • Do not submit candidates with just BS/MS. Key skills: • Proficient in genetic/genomic data analysis tools and techniques-e.g., variant analysis, population genetics, genomic annotations. • Proficiency in R, Python, and Bash. • High-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).

The Department of Pathology at The Ohio State University Wexner Medical Center (OSUWMC) and the James Cancer Hospital Molecular Laboratory is seeking a Director of Clinical Bioinformatics at the Associate or Full Professor rank. Expertise in the areas of clinical bioinformatics and genomics is essential. Research interests in machine learning, artificial intelligence, digital spatial profiling, or the integration of genomics and digital pathology is preferred. Qualified applicants must possess an MD, MD-equivalent, PhD or MD/PhD degree, with relevant clinical board certification/ eligibility or clinical bioinformatic/informatics certification/ eligibility. The ability to conduct independent research is required and a history of obtaining competitive grant funding is desirable. Requirements: • Relevant practical experience in clinical bioinformatics, with prior experience in supervising variant scientists or annotators desirable • Well-developed interests in translational or basic research in clinical bioinformatics or genomics • Qualify for an academic appointment at the associate or full professor level – Academic rank and salary will be commensurate with previous training and experience This role will: • Oversee the clinical genomics laboratory staff of PhD bioinformaticians and masters-level variant scientists • Lead and support a research program on clinical or translational bioinformatics/genomics • Help create bioinformatic pipelines or novel software tools in genomic/computational pathology • Work with the molecular pathologists and clinical laboratory directors on automated data-driven workflows for clinical genomics or integrated pathology-genomics signouts • Molecular pathology signout, if applicable, based on training and certifications • Represent the pathology faculty in cancer center or institutional initiatives in genomics and bioinformatics • Serve as a mentor to graduate students, PhD candidates, medical students and other trainees

The US Air Force School of Aerospace Medicine (USAFSAM) has a bioinformatics fellowship opportunity open to those who have obtained a master's degree in the field of Biological Sciences, Public Health, Biocomputing, or similar field. What will I be doing? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to further the fellow’s knowledge of infectious disease surveillance, wastewater surveillance, genomic sequencing, and data collection, management and visualization. The purpose of this training fellowship is to provide an educational experience to individuals interested in the fields of public health, infectious disease, epidemiology, and surveillance. The fellow will gain insight into how to communicate data and findings from a surveillance network to decision-makers, other researchers, and the public. Fellows will train within the United States Air Force School of Aerospace Medicine’s Applied Technology and Genomics division and can expect to gain valuable experiences in bioinformatics, high performance computing, and infectious disease surveillance. The fellow will also participate in activities related to database cleaning, data analysis, data visualization, and interpretation of results. The fellow may also have opportunities to develop manuscripts and/or posters or oral presentations for academic conferences. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: • Analyze large-scale data and summarize findings using statistical software • Develop analysis pipelines and workflows utilizing available platforms • Perform data analysis and develop visualizations using public and in-house tools and dashboards • Collaboration and participation in meetings • Be involved with verbal and written presentations of studies at scientific conferences • Preparation of literature searches, scientific manuscripts, posters, presentations, and other information Where will I be located? The location of this appointment may vary. What is the anticipated start date? Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships will be filled as qualified candidates are identified. What is the appointment length? This appointment is a twelve-month research appointment at a full-time level of participation. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What are the appointment provisions? You will receive a stipend to be determined by USAFSAM. Stipends are typically based on a participant’s academic standing, discipline, experience, and research facility location. Other provisions may include the following: • Health Insurance Supplement (Participants are eligible to purchase health insurance through ORISE) • Relocation Allowance • Training and Travel Allowance About USAFSAM The 711th Human Performance Wing’s U.S. Air Force School of Aerospace Medicine (USAFSAM) was established in 1918 and is the premier institute for education and worldwide operational consultation in Aerospace and Operational Medicine. USAFSAM has been a leader in the field of aerospace medicine and human performance from the beginnings of aviation through the onset of the space age and into the present, and is the oldest continually operating institution of its kind. It is also host to the largest aeromedical library in the world. By joining forces with the Air Force and Navy Research Laboratories, USAFSAM fully leverages aeromedical, science, and technology to optimize performance, health, and survival of healthy humans in abnormal or extreme environments, including combat, air, space, and cyberspace. The Applied Technology and Genomics (PHT) Division is a Biosafety Level-2 laboratory, and the only research genetics laboratory in the USAF that can support several projects focusing on: bacterial/viral culture, DNA/RNA extraction, PCR amplification, DNA printing (primers/probes/synthetic constructs), next-generation sequencing, microscopy, analysis of genetic code, and secured storage of genetic code. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and DoD. Participants do not enter into an employee/employer relationship with ORISE, ORAU, DoD or any other office or agency. Instead, you will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense.

Payroll Title: BIOINFORMATICS PROGR 3 Department: MEDICINE/ Biomedical Informatics Hiring Pay Scale $94,400 - $123,000/YR. Worksite: East Campus (La Jolla) Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday-Friday #135391 Bioinformatics Programmer Filing Deadline: Wed 5/21/2025 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. This is a UC San Diego Internal Recruitment open to UCSD and UCSD Health System Staff Only UCSD Layoff from Career Appointment: Apply by 05/16/2025 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 05/21/2025. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. Biomedical Informatics researchers develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies. The goals of the Department of Biomedical Informatics (DBMI) are to (1) promote excellence in biomedical informatics research, (2) collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses, (3) train the next generation of biomedical informatics specialists, and (4) interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research. This department leads multiple federally and non-profit funded biomedical research projects, which are focused on the integration, analysis, and sharing of biomedical and health care data for the scientific community, as well as patient-centered research. In addition, the department runs a complex computational infrastructure that allows access and analysis of these data in a privacy-preserving manner. Under general supervision, applies machine learning and deep learning, and mission-critical healthcare real-time artificial Intelligence software development. This involves in-depth evaluation of variable factors impacting medium to large healthcare integration and implementation science projects of broad scope and complexities. Independently determines research and development projects and communicates project plans, milestones, and key performance indicators with team-members and executive-level management. Designs, develops, and optimizes components / tools for major high performance computing (HPC) applications, using cloud computing, and involving hundreds to thousands of hospital beds. May manage a team of data scientists and IT experts to integrate with existing electronic medical records and bedside devices, based on interoperability standards such as FHIR and C-CDA. May manage one or more team of research staff and engineers through the design, implementation, evaluation and continuous improvement cycle. Gives technical presentations to associated hospital IT leadership, clinical, and administrative leadership. Evaluates new hardware and software technologies for scalable and fault-tolerant deployment of clinical grade artificial intelligence clinical decision support systems. May organize and represent the organization at national and international critical care and machine learning/artificial intelligence conferences. Directs a team of engineers to ensure implementation and compliance with quality management systems. Leads a team of engineers to prepare submissions for FDA regulatory approval of software as a medical device. Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently. MINIMUM QUALIFICATIONS • Seven years of related experience, education/training, OR an Bachelor’s degree in related area plus three years of related experience/training. • Demonstrated experience working with Python, TensorFlow, PyTorch, Matlab. Must have experience with real-time implementation of artificial Intelligence clinical decision support systems and health care data exchange protocols such as HL7 and FHIR. • Experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base. • Demonstrated experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI. • Experience with Graph Neural Networks, and Large Language Models, including Vector Databases. • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. Experience with Python, MATLAB, C. • Thorough knowledge of bioinformatics programming design, modification and implementation. • Understanding of relational databases, web interfaces, and operating systems. • Strong project management skills. • Thorough knowledge of modern biology and applicable field of research. • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Ability to interface with management on a regular basis. • Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Thorough knowledge of web, application and data security concepts and methods. PREFERRED QUALIFICATIONS • PhD degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $94,400 - $176,800 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $45.21 - $84.67 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening.

Whole Person Benefit Packages | Relocation Assistance |Research Faculty Incentive Plans The Department of Biostatistics & Bioinformatics at Moffitt Cancer Center, the top-ranked NCI-designated comprehensive cancer center in the Southeastern United States, is poised to recruit two exceptional faculty members to join our dynamic team. We are looking for candidates who will make significant contributions to our ongoing clinical, basic science, and translational studies at Moffitt, with a proven commitment to team science, evidenced by a robust record of peer-reviewed publications and active involvement in grant-supported research projects. We have a leadership opportunity as Department Vice Chair and Associate Scientific Director for the CCSG-funded Biostatistics & Bioinformatics Shared Resources (BBSR) in the tenure-earning rank of Associate/Senior Member (Associate/Full Professor equivalent). As the Vice Chair, you will play a vital role in supporting the Chair of Biostatistics & Bioinformatics by leading key academic initiatives, including recruitment, mentoring, retention, budgeting, and strategic planning. This is an exceptional chance to contribute to the advancement of biostatistics and bioinformatics while shaping the future of our department. Join us in this transformative journey! The Ideal Candidate: • Will have an excellent record in team science or collaborative data science, particularly in cancer. • Will have excellent communication skills and experience in administration and leadership. Responsibilities: • Collaborate on a variety of cancer research projects. • Build relationships to promote a collaborative environment. Credentials and Qualifications: Successful candidates must have a Ph.D. in biostatistics, statistics, bioinformatics, informatics, biomedical informatics, computer science, or related fields and relevant cancer research training and experience. We also seek to recruit an open-rank tenure-earning faculty role with a strong track record in translational bioinformatics and computational/systems biology, particularly in cancer research. Areas of emphasis include but are not limited to, epigenomics, proteomics, metabolomics, population and real-world genetics, AI-driven biomarker discovery, liquid biopsy techniques, drug discovery and therapeutic innovation, single-cell/spatial omics, and computational immuno-oncology. Responsibilities: • Conduct independent and collaborative genomics-based research in translational bioinformatics, cancer bioinformatics, and computational biology. • Team science collaboration to tackle a variety of cancer clinical and basic science research projects. Credentials and Qualifications: Successful candidates must have a Ph.D. in biomedical informatics, bioinformatics, computational immunology, computer science, biostatistics, or related fields and relevant research training and experience. Position Highlights: The growing Department of Biostatistics and Bioinformatics and corresponding Shared Resource currently has 17 faculty and approximately 26 BBSR staff members engaged in a wide range of statistical and bioinformatics research and collaborations on clinical, translational, population and biological studies in cancer prevention, early detection, treatment, prognosis and survivorship, drawing on expertise in novel therapeutic and drug discovery, prognostic and predictive biomarker development, chemoprevention, microbiome, high throughput genomics, proteomics & metabolomics, next-generation sequencing, spatial biology, molecular epidemiology, behavioral interventions, comparative effectiveness research, clinical trial design, and precision medicine. Many of these projects draw upon Moffitt’s Total Cancer Care initiative, which provides access to a comprehensive set of clinical and molecular data on a large number of cancer patients. The Department of Biostatistics and Bioinformatics is the largest academic department at Moffitt and one of three departments in the academic Division of Quantitative Sciences within the Moffitt Research Institute. Alongside the Departments of Machine Learning and Integrated Mathematical Oncology, the Department of Biostatistics and Bioinformatics offers a unique environment for quantitative scientists focused exclusively on cancer. Institutional investments in the Moffitt Cancer Analytics Platform, high-performance computing, and the Total Cancer Care Protocol offer unique resources for data-driven team science. Academic rank beyond Associate Member will be commensurate with experience and qualifications. Appointment at the level of Associate / Senior Member requires a minimum of five years of experience at the Assistant / Associate Professor level. Tampa is a thriving metropolitan city that provides its residents with a high quality of life. The Tampa Bay area has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. Questions about the opportunity may be directed to the Department Chair, Dr. Xuefeng Wang at xuefeng.wang@moffitt.org or the search committee chairs: Dr. Michael Schell at Michael.Schell@moffitt.org for the Vice Chair opportunity. Dr. Xiaoqing Yu at Xiaoqing.Yu@moffitt.org for the open-rank faculty opportunity. Review of applications will begin immediately. Please be sure to attach your CV and cover letter. To apply, visit our website MOFFITT.org/Careers Equal Employment Opportunity Moffitt is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. Moffitt seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.