Bioinformatics Jobs

Description We are seeking an Associate Bioinformatics Scientist who will be responsible for providing comprehensive bioinformatics support for the analysis and interpretation of advanced, high throughput molecular, genomic and clinical data types including gene expression, imaging, electronic medical records, etc. The Associate Bioinformatics Scientist will develop and apply bioinformatics methods and software tools for analysis and integration with clinical information and perform tasks to reduce and consolidate data output to help interpret and prioritize findings for numerous immuno-oncology focused projects. Providence Swedish caregivers are not simply valued – they’re invaluable. Join our team at Swedish Research and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them. Required Qualifications: • Bachelor's Degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or Biology • Master's Degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or Biology --or-- • 5 years of equivalent professional experience in lieu of Master's Degree • 2 years of experience related to bioinformatics work in a clinical laboratory or experience in academia, biotechnology, or other healthcare field (preferably involving next generation sequence data analysis) • Significant computational experience • First-hand experience in clinical informatics and/or NGS analysis and methods as well as the computing infrastructure and data management methods • First-hand multi-parametric data mining experience on expression, copy number and profiling datasets for target identification and biomarker discovery. For example, multivariate analysis; dimensionality reduction methods; parametric and non-parametric statistical methods; Bayesian statistics; pattern recognition or classification methods. • First-hand experience at integrating publicly or commercially available genetic, genomic, and interaction datasets with novel experimental data to identify testable hypotheses • Proven experience and success in a team-oriented environment • Proven success in independent effort and delivering high quality data with biological relevance in a team environment Preferred Qualifications: • Experience with the following: • Clinical data analysis/Large dataset analysis in R • Analyzing next generation sequencing data (DNA-seq, RNA-seq, etc.) • Commonly used database and bioinformatics tools for NGS data analysis (e.g.) bedtools, SAMtools, IGV, ANNOVAR, Bowtie, GATK, ChimeraScan, UCSC Genome Browser, Galaxy, SoftGenetics, CLC bio, TopHat, etc.) • Web framework (e.g. Django, Sinatra, Rails or others) • HTML/CSS, Javascript and SQL on NoSQL databases Why Join Providence Swedish? Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally and achieving financial security. We take care of you, so you can focus on delivering our mission of improving the health and wellbeing of each patient we serve. About Providence At Providence, our strength lies in Our Promise of “Know me, care for me, ease my way.” Working at our family of organizations means that regardless of your role, we’ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable. Posted are the minimum and the maximum wage rates on the wage range for this position. The successful candidate's placement on the wage range for this position will be determined based upon relevant job experience and other applicable factors. These amounts are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits. Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. About the Team Providence Swedish is the largest not-for-profit health care system in the greater Puget Sound area. It is comprised of eight hospital campuses (Ballard, Edmonds, Everett, Centralia, Cherry Hill (Seattle), First Hill (Seattle), Issaquah and Olympia); emergency rooms and specialty centers in Redmond (East King County) and the Mill Creek area in Everett; and Providence Swedish Medical Group, a network of 190+ primary care and specialty care locations throughout the Puget Sound. Whether through physician clinics, education, research and innovation or other outreach, we’re dedicated to improving the wellbeing of rural and urban communities by expanding access to quality health care for all. Providence is proud to be an Equal Opportunity Employer. We are committed to the principle that every workforce member has the right to work in surroundings that are free from all forms of unlawful discrimination and harassment on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. We believe diversity makes us stronger, so we are dedicated to shaping an inclusive workforce, learning from each other, and creating equal opportunities for advancement. For any concerns with this posting relating to the posting requirements in RCW 49.58.110(1), please click here where you can access an email link to submit your concern. Requsition ID: 407688 Company: Swedish Jobs Job Category: Research Job Function: Clinical Support Job Schedule: Full time Job Shift: Day Career Track: Clinical Professional Department: 3909 SRE ADMINISTRATION Address: WA Seattle 1124 Columbia St Work Location: Swedish First Hill 1124 Columbia-Seattle Workplace Type: Hybrid Pay Range: $39.45 - $61.24 The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.

• Develops and manages a specific bioinformatics, computational biology or quantitative genomics project within the research program under the supervising faculty member. • May prepare and submit funding applications within the content areas of the supervisor with permission of the supervisor. • May manage a small research group; conducting reviews and evaluating work. • Leads discussions regarding experimental design, data analysis and interpretation of results. • May represent the supervising faculty member in leading the research group as needed. • Responsible for gathering preliminary data for grant applications, completion of objectives of funded external grants, and preparation of completed work for publication. • Contributes to writing grant applications or manuscripts. • May serve on research committees. • Collaborates and leads genomics and bioinformatics analysis for clinical faculty and other investigators. • Performs literature searches to gather information pertaining to research projects or analytical methods in order to develop new protocols, research projects or grant applications for the work group. • Advises other research employees regarding technical and analytical problems within area of expertise. • Participates in work group meetings and formal seminars to present, explain, and discuss research interests. • Makes presentations to extramural audiences at national meetings and academic institutions. Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.

About the Role: The Sr. Manager of Clinical Bioinformatics, reporting to the VP, Clinical Applications, will lead the design, development, and implementation of computational pipelines and analytical frameworks supporting 10x Genomics clinical diagnostics. This role will bridge advanced single-cell and spatial genomics with clinical assay development and CLIA operations, ensuring analytical rigor, reproducibility, and compliance. The ideal candidate is a hands-on bioinformatics leader with deep expertise in NGS, single-cell, and spatial data analysis, combined with a strong understanding of clinical-grade bioinformatics analysis. This position will partner closely with the Sr. Manager of Diagnostic Assay Development and the Director of the CLIA Laboratory to enable end-to-end translation of 10x technologies into clinical use. What You Will Be Doing:Scientific and Translational Excellence • Partner with the Diagnostic Assay Development team to integrate informatics approaches into assay design, validation, and performance optimization. • Drive biomarker discovery and translational analyses in large-scale clinical research studies, including partnerships with leading academic centers processing thousands of tumor and blood samples. • Work with external collaborators to generate and interpret data that demonstrate clinical validity and utility. • Implement robust statistical and computational frameworks to address batch effects, confounding variables, and data harmonization across studies. • Serve as the bioinformatics representative in external 10xDx translational and clinical collaborations. • Maintain deep familiarity with emerging bioinformatics methodologies and clinical genomics standards. Computational and Analytical Leadership • Lead the design, implementation, and optimization of bioinformatics pipelines for single-cell and spatial genomics data, from raw data to clinical interpretation. • Establish, maintain, and operate CLIA-compliant computational workflows, documentation, and quality systems in collaboration with the CLIA Laboratory Director • Be responsible for data quality control and patient data reporting • Develop and validate algorithms, statistical models, and quality metrics for clinical assay performance. • Direct analytical validation of bioinformatics components in support of LDT assays. • Ensure computational reproducibility, version control, and auditability aligned with CLIA and CAP standards. Operational Leadership • Build and lead a high-performing team of bioinformaticians, fostering technical excellence and accountability. • Partner with broader R&D computational biology team for method development and platform improvements • Define team goals, deliverables, and metrics supporting diagnostic R&D milestones. • Establish data management and computational infrastructure in collaboration with IT, Quality, and CLIA lab teams. • Support publication-quality analyses and contribute to scientific manuscripts and presentations at major conferences. Collaboration and Strategic Integration • Work closely with clinical, laboratory, and assay development teams to design studies, interpret results, and implement findings into diagnostic workflows. • Collaborate with regulatory and quality leaders to ensure data integrity and compliance in all analytical systems. • Serve as the bioinformatics representative during audits, partner reviews, and cross-functional readiness assessments. • Contribute to defining the broader clinical bioinformatics strategy and diagnostic roadmap for 10xDx. To Be Successful in this Role you will need: • Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field. • Minimum 10 years of experience in bioinformatics for clinical or diagnostic applications, including leadership of high-impact computational teams. • Deep expertise in NGS, single-cell, and/or spatial data analysis, from primary data processing through interpretation. • Proficiency in R, Python, and major bioinformatics toolkits; familiarity with cloud or high-performance computing. • Demonstrated success collaborating with experimental scientists and clinicians on translational and diagnostic projects. • Strong publication record in computational biology, genomics, or diagnostics. Additionally, you are: • Detail-oriented and quality-driven, with a deep respect for validation and rigor. • Strategic thinker who also thrives in hands-on analytical and computational work. • Effective communicator and collaborator across scientific, operational, and executive teams. • Motivated by building new capabilities at the intersection of genomics, computation, and clinical medicine. This is a key leadership position within 10x, defining and operating the computational and analytical framework for clinical implementation of single-cell and spatial diagnostics. The Sr. Manager of Clinical Bioinformatics will ensure that data analysis pipelines, algorithms, and interpretation frameworks meet the highest scientific and quality standards-enabling 10x to deliver clinically meaningful insights that advance precision medicine.

Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration. Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position. Roles and Responsibilities • Prep and Process data through GATC platform based on customer or internal end user requirements. • Implement primary and secondary analysis tools for GATC’s assays. • Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications. • Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples. • Engage with external collaborators on the evaluation of beta version products and analysis of novel data. Role Requirements • Degree in computational biology, bioinformatics, computer science or similar. • Experience analyzing complex multi-omic datasets, including human or single cell data. • Experience implementing, and evaluating novel bioinformatics algorithms and pipelines. • Experience in programming in scripting (Python or similar) and interpreted languages (R, etc). • Demonstrated ability to become proficient in new fields and work with interdisciplinary teams. • Excellent verbal/written communication and interpersonal skills with scientist and non-scientists. Role Preferences • Experience using or interfacing with machine learning algorithms. • Experience analyzing and interpreting large-scale human or single cell datasets. • Experience with professional software development methods and tools in a team environment. • Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java). • Experience working with collaborators, including lab scientists on multi-omic method development. • Experience visualizing scientific datasets and results. • Experience using cloud computing environments. • Computational biology and bioinformatics innovation. Why Join Us: • Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery. • Collaborative and inclusive work culture that values diversity, creativity, and continuous learning. • Competitive compensation package, including salary, benefits, and opportunities for professional development. • Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.

Senior Bioinformatician - NCI/ ITEB Job ID: req4424 Employee Type: exempt full-time Division: Clinical Research Program Facility: Rockville: 9609 MedCtrDr Location: 9609 Medical Center Dr, Rockville, MD 20850 USA The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION We are seeking a skilled and motivated Bioinformatics Analyst to join the Cancer Genomics Research Laboratory (CGR), located at the National Cancer Institute (NCI) Shady Grove campus in Rockville, MD. CGR is operated by Leidos Biomedical Research, Inc., and collaborates with the NCI’s Division of Cancer Epidemiology and Genetics (DCEG) - the world’s leading cancer epidemiology research group. Our scientific team leverages cutting-edge technologies to investigate genetic, epigenetic, transcriptomic, proteomic, and molecular factors that drive cancer susceptibility and outcomes. We are deeply committed to the mission of discovering the causes of cancer and advancing new prevention strategies through our contributions to DCEG’s pioneering research. Our team of CGR bioinformaticians supports DCEG’s multidisciplinary family- and population-based studies by working closely with epidemiologists, biostatisticians, and basic research scientists in DCEG’s intramural research program. We provide end-to-end bioinformatics support for genome-wide association studies (GWAS), methylation profiling, targeted, whole-exome, whole-transcriptome and whole-genome sequencing along with viral and metagenomic studies from both short- and long-read sequencing platforms. Our work spans germline and somatic variant detection, structural and copy number variation, microsatellite analysis, mutational signature profiling, gene and isoform expression, base modification analysis, viral and bacterial genomics, and more. Additionally, we advance cancer research by integrating latest technologies such as single-cell and spatial transcriptomics, multiomics and proteomics, in collaboration with the Functional and Molecular and Digital Pathology Laboratory groups within CGR. We extensively analyze large population databases such as All of Us, UK Biobank, gnomAD and 1000 genomes to inform and validate GWAS signals, study the association between genetic variation and gene expression, protein levels, and metabolites and to develop polygenic risk scores across multiple populations. Our bioinformatics team develops and implements sophisticated, cloud-enabled pipelines and data analysis methodologies, blending traditional bioinformatics and statistical approaches with cutting-edge techniques like machine learning, deep learning, and generative AI. We prioritize reproducibility through containerization, workflow management tools, thorough benchmarking, and detailed workflow documentation. Our infrastructure and data management team works closely with researchers and bioinformaticians to maintain and optimize a high-performance computing (HPC) cluster, provision cloud environments, and curate and share large datasets. The successful candidate will provide dedicated analytical support to the Integrative Tumor Epidemiology Branch (ITEB) and contribute to cancer research through their expertise in DNA repair, lung cancer, epidemiology, and cancer genetics to advance the Sherlock-Lung Study, a large-scale initiative investigating the genomic, transcriptomic, methylation, and microbiome landscapes of lung cancer in never smokers to uncover mutational processes, molecular changes, and tumor evolution. The Bioinformatics Analyst IV will analyze and integrate somatic and germline deep whole-genome and multi-omics datasets from the Sherlock-Lung cohort, consisting of over 3,000 subjects, ensuring timely progress toward key scientific milestones and publications. This role involves analyzing large-scale sequencing data, developing and maintaining robust pipelines, performing downstream statistical modeling, generating high-quality visualizations and interpreting results for data summarization and interpretation and manuscript preparation. The candidate will be expected to: KEY ROLES/RESPONSIBILITIES • Formulate hypotheses for large-scale cancer studies and test them by analyzing single nucleotide variants (SNVs), indels, structural variants (SVs), copy number alterations (SCNAs), clonal and subclonal drivers, and mutation signatures to characterize intra-tumor heterogeneity, with a particular focus on lung cancer. • Develop, implement, and optimize pipelines for somatic variant analysis from short- and long-read WGS, including: • Raw data processing, alignment, and quality control. • Tumor purity estimation. • Somatic mutation calling (SNVs, indels, SVs, CNAs) using best-practice workflows. • Advanced analyses such as driver gene identification, mutational signature deconvolution, microsatellite instability detection, telomere length estimation, and Battenberg copy number phasing. • Apply statistical methods to interpret genomic datasets and integrate findings with clinical and multi-omics data. • Research, evaluate, and implement state-of-the-art computational methods for single-cell, multi-omics, and spatial omics analyses, and communicate findings to diverse audiences. • Maintain and document pipelines, software, and scripts to ensure reproducibility and scalability. • Provide support for analysis of genomic data from epidemiological studies. This includes but is not limited to data manipulation, and integrated genomic analyses. Prepare various reports and presentations detailing the methodology and results. • Present findings at meetings and lead/contribute to peer-reviewed publications. BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of Master’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency. • In addition to the education requirement, a minimum of ten (10) years of progressively responsible experience. • Proven expertise in next-generation sequencing (NGS) data analysis, with a focus on somatic whole-genome sequencing analyses and multi-omics data integration. • Demonstrated experience with custom and open-source pipelines for large-scale data analysis. • Demonstrated experience and in-depth understanding of lung cancer biology and cancer genomics, with a strong track record in result interpretation and summarization of findings for publications. • Expert-level knowledge of bioinformatics tools for primary and secondary NGS data processing for large cancer datasets, statistical modeling, phenotype/genotype integration and visualization. • Strong experience using genomic databases such as TCGA, dbGAP, gnomAD, cBioPortal, ENCODE, 1000 Genomes, AllofUs, GTEx, ICGC, PCAWG and UK Biobank. • Extensive proficiency in scripting and programming languages including Bash, R and Python with experience in RStudio and Jupyter Notebooks, managing code on GitHub. • Significant experience with high-performance computing (HPC) environments and job scheduling systems such as SLURM. • Proven experience preparing high-impact research manuscripts for peer-reviewed publications. • Ability to obtain and maintain a security clearance. PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Strong written, verbal, and presentation skills. Ability to work effectively in a multidisciplinary research environment and communicate technical findings clearly to non-specialist audiences. • Self-motivated, research-focused professional with a passion for advancing cancer genomics. • Demonstrated scientific contributions through a strong publication record in high-impact journals. • Proficiency with core statistical, machine learning and bioinformatics analytical methods. • Strong experience with large-scale multi-omics data integration (e.g., genomics, genetics, transcriptomics, DNA methylation, etc.). • Strong understanding of algorithmic efficiency and working on high performance clusters for supporting large and diverse datasets. • Experience with various environment/dependency management tools (e.g. pip, venv, conda, renv) and workflow management systems such as Snakemake or Nextflow. • Knowledge of containerization with Docker/Singularity, JIRA and GitHub for project management. • Strong analytical and problem-solving skills with attention to detail. • Strong communication skills, and the ability to work both independently and collaboratively as part of team. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here 123,800.00 - 207,125.00 USD The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data. The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions

About the position Nextonic Solutions is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community. Overview The Bioinformatics/Data Scientist will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. This position is central to the SOM Center's research objectives, focusing on characterizing organoid fidelity, identifying biomarkers of successful differentiation, and developing computational frameworks for organoid quality assessment. Responsibilities • The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts. • The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis. • A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles. • The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences. Requirements • Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field. • Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential. • Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization. • Knowledge of proteomics and metabolomics data analysis workflows is necessary. Nice-to-haves • Previous experience analyzing organoid datasets is strongly preferred. • Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets. • Experience with high-performance computing environments and version control systems is desirable.

Details Open Date 12/29/2025 Requisition Number PRN16649N Job Title Research Informaticist Working Title Bioinformatics Training and Research Coordinator Career Progression Track P00 Track Level P4 - Advanced, P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 19 hours per week. Full Time or Part Time? Part Time Shift Day Work Schedule Summary Monday – Friday, 19 hours per week. Is this a work study job? No VP Area U of U Health - Academics Department 00247 - Pathology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $16 - $56/ hour Close Date 03/29/2026 Priority Review Date (Note - Posting may close at any time) Job Summary The Department of Pathology in collaboration with MAGIC (Microbiota And Gastrointestinal Immunology Consortium) has an exciting opening for a part-time Bioinformatics Training and Research Coordinator who will: • Develop and maintain consistent statistical and bioinformatics training standards and integrity across training modules; assist in design, modeling, and interpretation of data for educational and programmatic outcomes. • Assist with Summer Intensive in Microbial Bioinformatics, providing instruction and mentorship in R, Python, and command-line tools for microbiome and metagenomic analysis. • Collaborate with faculty, staff, and industry partners (e.g., ARUP Laboratories, Canyon Labs, Curza Inc.) to develop and deliver interdisciplinary modules in bioinformatics, microbiology, immunology, and data science. • Facilitate communication between trainees, mentors, and industry partners to coordinate experiential learning, clinical shadowing, and capstone projects. • Coordinate operational aspects of the Microboost Program, including curriculum implementation, trainee recruitment, and progress evaluation. • Generate progress reports, summaries, and evaluation metrics for internal and external stakeholders, including Talent Ready Utah and the Life Sciences Industry Advisory Board. • Support proposal preparation, grant documentation, budgeting, and compliance to sustain and expand the program. The department may choose to hire at job level P1 – P4 (General Professional Track) based on business need and candidate education and experience. This is a part-time, non-benefited position. Responsibilities P1 | Research Informaticist, I (Job Code P57121) Conducts work assignments as directed. Closely supervised with little latitude for independent judgment. Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree. P2 | Research Informaticist, II (Job Code P57122) May be involved in high-throughput data analysis or statistical modeling. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience. P3 | Research Informaticist, III (Job Code P57123) May be involved in high-throughput data analysis or statistical modeling. Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment. Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience. P4 | Research Informaticist, IV (Job Code P57124) May be involved in high-throughput data analysis or statistical modeling. Recognized as subject matter expert and advanced individual contributor professional. Requires specialized skill set. Conducts highly complex work, unsupervised and with extensive latitude for independent judgment. Requires a bachelor’s (or equivalency) + 8 years or a master’s (or equivalency) + 6 years of directly related work experience. Minimum Qualifications EQUIVALENCY STATEMENT : 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience). Department may hire employee at one of the following job levels: Research Informaticist, I: Requires a bachelor’s (or equivalency) + 2 years of directly related work experience or a master’s (or equivalency) degree. Research Informaticist, II: Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience. Research Informaticist, III : Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience. Research Informaticist, IV: Requires a bachelor’s (or equivalency) + 8 years or a master’s (or equivalency) + 6 years of directly related work experience. Preferences • Master’s degree (or higher) in microbiology, bioinformatics, biostatistics, biomedical sciences, or a related field. • Demonstrated experience in research program coordination, curriculum development, or scientific training. • Proficiency in bioinformatics and statistical programming languages (e.g., R, Python). • Strong organizational, communication, and interpersonal skills with an ability to work collaboratively across academic and industry settings. • Familiarity with microbiome or translational research preferred but not necessary. Special Instructions Summary Interested candidates should submit Cover Letter and CV containing contact information for three references along with online application. Additional Information The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action: Director/ Title IX Coordinator Office of Equal Opportunity and Affirmative Action ( OEO /AA) 383 University Street, Level 1 OEO Suite Salt Lake City, UT 84112 801-581-8365 oeo@utah.edu Online reports may be submitted at oeo.utah.edu For more information: https://www.utah.edu/nondiscrimination/ To inquire about this posting, email: employment@utah.edu or call 801-581-2300. The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

Responsibilities: The position will be based on the main FDA campus at White Oak, MD. Independently performing bioinformatics data analysis by using the tools developed internally, as well as open source and third-party genomics software under the review of the Project Lead, FDA HIVE group. Working in a rapidly changing environment of next-generation sequencing and other omics technologies and handling the recognition, research, resolution and follow up for routine and complex problems. Identification, testing, import of NGS datasets related to microbiome data, and design and application of complex analysis protocols and pipelines, harmonization and result reporting of analyzed genomics datasets. Communication of results and interpretation to a diverse audience, including senior FDA scientists, collaborators, and internal stakeholders. Qualifications: Master’s or PhD degree in molecular biology, bioinformatics or similar, three (3) or more years of experience. Strong biological background, excellent knowledge of different experimental approaches, and the scientific problems they can address. Familiarity with some of the primary sequencing tools (e.g. samtools, bedtools, GATK, BWA, Bowtie, IGV). Hands-on experience with commercial and open-source bioinformatics and genomics analysis software (e.g. muTect, VarScan, VarDict, DESeq2). Familiarity with publicly available data sources (e.g. TCGA, ENCODE, 1000 Genomes, ESP) and diverse genomic annotations. Experience with R and/or Python or C++ is a plus). Must be able to obtain and maintain a security (public trust) clearance.

Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. • Interprets complex biological information • Performs tasks to reduce and consolidate output from software • Prepares data for utilization by other scientists • Monitors new data from public databases, finds and loads missed data, cleans loaded data to satisfy quality control criteria • Must be able to query various sources for the information needed; i.e., the Web, publications and internal DFCI resources • Directs and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting data • Implements end-users’ needs in database searching and integration • Maintains the computational infrastructure and controls the flow of samples and information for large-scale studies • Recognizes and reports problems with the data management process and fixes the problems whenever possible KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: • Familiarity with simple programming using Perl/Python or Java, C/C++, statistical programming using R or related tools, web-development, and database query through SQL • Familiarity with principles of experimental design and modern data analysis paradigms is required • Strong interpersonal skills – ability to effectively interact with all levels of staff and external contacts • Excellent analytical, organizational and time management skills MINIMUM JOB QUALIFICATIONS: The position requires a bachelor's degree, with an MS preferred or a PhD in bioinformatics, computer science, or life sciences. Candidates should have 0-2 years of relevant experience and be able to perform primary duties under close to moderate supervision. SUPERVISORY RESPONSIBILITIES: In most cases, these positions would not have supervisory responsibilities. Level III may or may not provide workflow direction to subordinates and serve as a mentor to junior staff. PATIENT CONTACT: None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $58,400.00 - $80,400.00

We are seeking Master's and PhD students majoring in Statistics, Biostatistics, Bioinformatics, Biomedical Sciences, Data Science or a related field for 12 Week Student Intern roles in Gaithersburg, MD for a May 18th - August 7th contract period. Position Duties: This role has 5 separate headcount for the descriptions listed below. Bioinformatics Summer Intern: Oncology Data Science and Artificial Intelligence • Organoid characterization and clinical relevance assessment. • Predictive biomarker discovery and patient selection strategy. • Mechanism of action and resistance pathway analysis. Biostatistics Summer Intern: Oncology Data Science and Artificial Intelligence • Establish optimal ctDNA molecular response cutoffs for cancer therapy. • Assess methodologies for ctDNA molecular response analysis. Bioinformatics Summer Intern: Early Vaccines and Immune Therapies • Apply cutting-edge bioinformatics techniques to analyze large datasets from human pathogens which will be used to support viral and bacterial programs. • Develop bioinformatics skills and gain experience working in a cross-functional team. Statistics Summer Intern: Respiratory & Immunology Biometrics (2) • Work closely with an experienced statistician on one statistical topic from clinical trials, such as Bayesian hierarchical models, estimands, and R programming. • Reference literature and regulatory precedent to develop a solution that is practical and valuable. • Present the outcomes of the project to a broad audience of Biometrics teams. Position Requirements: • Master's and PhD students majoring in Statistics, Biostatistics, Bioinformatics, Biomedical Sciences, Data Science or a related field. • Candidates must have an expected graduation date after August 2026. • Coding skills in R/RStan or SAS and data simulation experience is required. • Experience with omics data analysis (RNA-seq, WES, or similar high-throughput datasets) required for bioinformatics role. • Proficiency in Python required for biostatistics role. • Time and self-management skills are required. • Microsoft Office experience such as Excel, Word, PowerPoint, and Outlook required. • Enthusiasm for collaboration, cross-functional projects, public speaking, and presentation design. • US Work Authorization is required at time of application. • This role will not be providing OPT support. • Ability to report onsite for 3-5 days a week. This role may provide relocation assistance to non-local candidates. • Compensation range: $41.50 - $48 hourly Date Posted 17-Dec-2025 Closing Date 14-Jan-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.