Bioinformatics Jobs

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.

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.

Understanding the location and functions of genes within an organism's genome is useful for scientists to learn more about the relationship between organisms. We look at several features of fruit fly genomes as part of the Genomics Education Partnership. We use online software to make judgements about start and stop sites on exons within the genomes. Students can participate remotely, though sessions with the PI are needed for training and initial workthroughs.

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

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Bioinformatics Analyst (Cheminformatics) to work the UHealth Medical Campus in Miami, FL 33146. CORE JOB SUMMARY The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts features of interest from data relating to specific biological questions. ● Contributes to the maintenance of genomic and clinical databases. ● Performs statistical and integrative data analysis on genomics and clinical data. ● Works along-side other team members and data analysts. ● Follows standard operating procedures, documentation, and scripts to generate reports. ● Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: PhD degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: ● Skill in collecting, organizing, and analyzing data. ● Ability to recognize, analyze, and solve a variety of problems. ● Ability to exercise sound judgment in making critical decisions. ● Ability to process and handle confidential information with discretion. ● Proficiency in computer software. Department Specific Functions & Qualifications The Sylvester Comprehensive Cancer Center & the Department of Molecular and Cellular Pharmacology are actively seeking a full-time Bioinformatics / Cheminformatics Analyst to work on the UHealth campus in Downtown Miami. At Sylvester, we are at the cutting edge of healthcare innovation, leveraging artificial intelligence and machine learning to transform drug discovery and development. Our mission is to accelerate the delivery of therapeutic solutions to patients through state-of-the-art technology and groundbreaking research. The Analyst will leverage expertise in computational chemistry, bioinformatics, and AI to process and analyze large-scale biomedical, small molecule bioactivity, structural biology, image, and clinicogenomic datasets, integrating them with the Sylvester Data Portal. The successful candidate will work within an interdisciplinary team of research scientists, data engineers, and full-stack developers, using state-of-the-art software development practices to enhance the university’s research activities. Primary Responsibilities: ● Process and analyze large-scale multi-omics and drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Develop and maintain production-grade pipelines for processing and analysis of diverse biomedical datasets. ● Develop visualization and bioinformatic analysis tools for exploring diverse biomedical data. ● Integrate developed tools and pipelines with Sylvester’s internal end-user data analytics platform. ● Apply state-of-the-art AI, bioinformatics, and biostatistics approaches to cancer precision medicine. ● Write standard operating procedures and other relevant documentation. ● Develop and apply AI/ML models for structure-based and ligand-based drug design. ● Utilize computational tools to predict and optimize pharmacokinetic (PK) and pharmacodynamic (PD) properties of drug candidates. ● Design and implement algorithms to identify novel drug candidates and elucidate their mechanisms of action. ● Integrate and analyze large-scale biological, chemical, and clinical datasets to extract insights and inform drug discovery decisions. ● Collaborate with cross-functional teams to advance drug discovery projects. ● Analyze and interpret PK/PD data using advanced statistical and modeling software. ● Stay updated with advancements in computational chemistry, AI, and bioinformatics. ● Contribute to the development of new computational tools and methodologies. ● Present findings to both technical and non-technical stakeholders. ● Participate in scientific discussions and strategy meetings, providing AI/ML expertise. ● Author scientific papers, reports, and patents related to AI/ML in drug discovery. Preferred Requirements ● PhD or MSc degree in computational chemistry, computational biology, medicinal chemistry, pharmaceutical sciences, computational sciences, or a related field. ● Fluency in R or Python and Unix (bash). ● Experience with analyzing and interpreting different omics and/or drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Experience with using common open-source bioinformatics/NGS workflows (BWA, STAR, Picard, GATK, etc.). ● Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and developing and deploying machine learning models. ● Highly motivated, strong work ethic, and able to work independently and with a team. ● Excellent skills in communication, organization, and time management. Preferred Qualifications ● For Ph.D. holders: 0-3 years of relevant experience in computational chemistry, AI, and drug discovery. ● Deep expertise with chemical toolkits such as DeepChem, ChemAxon, OEChem, or RDKit. ● Familiarity with drug discovery databases (CTRP, GDSC, PRISM, CCLE, DepMap, LINCS) and publicly available clinicogenomic datasets (CPTAC, TCGA, AACR Project GENIE, etc.). ● Experience with Cloud Computing Environments (e.g., Azure). ● Familiarity with relational (e.g., PostgreSQL) and/or NoSQL databases (e.g., MongoDB). ● Familiarity with container technologies (e.g., Docker). ● Experience with Generative AI tools and techniques. ● Familiarity with High Performance Computing. ● Familiarity with version control (Git). #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9

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.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Microbiology & Immunology has an exciting opportunity for a full time Research Associate 3, SOM position. The incumbent assumes responsibility for the design and performance of research focused on the development of novel experimental therapies for human malignancies. The incumbent contributes to collaborations with scientists within the University of Miami or elsewhere. Moreover, this individual works as part of a team and assists with the maintenance of laboratory equipment, protocols, and supplies. CORE JOB FUNCTIONS • Maintains daily operations and performs procedures related to new and on-going research projects. • Assists with ordering, purchasing, and maintenance of all required reagents and supplies for laboratory activities, and monitors and maintains inventory of supplies and stocks. • Assists with the maintenance of institutional biosafety and animal care protocols, laboratory safety records, and standard operating procedures. • Performs and assists other research staff with standard laboratory techniques. • Develops, adapts, and implements new laboratory procedures. • Records, organizes, and writes up experimental results for submission of manuscripts and for scientific presentations. • Keeps abreast of latest literature in the field and searches for references to technical problems. • Maintains current knowledge of the methods and techniques related to the specific field of research. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS • Bachelor’s Degree in relevant field • Minimum 5 years of relevant experience DEPARTMENT ADDENDUM Department Specific Functions • Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. • Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics • Create novel computational approaches and analytical tools as required by research goals • Work with lab team to analyze problems, recommend technology-based solutions, or determine computational strategies. • Create or modify web-based bioinformatics tools and train personnel in technical or scientific procedures. • Prepare scientific or technical reports or presentations #LI-GD1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A7

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.

Services Overview: • The successful candidate will work with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to update and maintain existing data resources and visualization tools and develop new dashboard solutions for evaluating target predictions against observed data. Key Responsibilities: • Update and maintain existing shiny app and Neo4J graph • Collaborate with team members to design and implement new framework solutions for data analysis and visualization. • Develop dashboards to evaluate the effectiveness of predictive models for clinical success against several metrics • Engage with experts in other departments during the development process. • Provide technical support and troubleshooting for end users • Create documentation for codebase and tools Qualifications: • Bachelors, (3-5 years). • MS degree (0-2) or higher in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics or other field with a strong quantitative and computational background) • Proficiency in R or Python programming • Experience with git • Experience using SQL and / or Neo4j databases Preferred skills • Experience working on HPC or cloud environment • Experience developing web apps in shiny or flask • Domain knowledge in bioinformatics and / or genetics • Domain knowledge in machine learning • Experience developing dashboards Job Type: Contract Pay: $58.00 - $60.00 per hour Expected hours: 40 per week Benefits: • Health insurance Schedule: • 8 hour shift • Day shift • Monday to Friday Education: • Bachelor's (Preferred) Experience: • working on HPC or cloud environment: 5 years (Preferred) • developing web apps in shiny or flask: 5 years (Preferred) • knowledge in bioinformatics and / or genetics: 5 years (Preferred) • machine learning: 1 year (Preferred) • developing dashboards: 5 years (Preferred) • R or Python programming: 5 years (Preferred) • git: 5 years (Preferred) • using SQL and / or Neo4j databases: 5 years (Preferred) • quantitative and computational background: 5 years (Preferred) • bioinformatics: 5 years (Preferred) Work Location: Remote

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.