Bioinformatics Jobs

At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. You will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. 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.

A fellowship opportunity is available to support the National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention (CDC), in Morgantown, West Virginia. The participant will train with NIOSH statisticians and toxicologists to learn statistical methods, tools, and platforms for compiling large databases and assessing data quality. These scientific data are needed for occupational health research and quantitative risk assessment. Data sets include experimental data from toxicology and material science research on engineered nanomaterials. The participating student will also have the opportunity to explore data analysis tools and software for summarizing and visualizing data, and to present findings to fellow students and NIOSH researchers. This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and CDC. The initial appointment is for 2 ½ months, but may be renewed upon recommendation of CDC contingent on the availability of funds. The desired start date is May 21, 2018. The participant will receive a monthly stipend commensurate with educational level and experience. Proof of health insurance is required for participation in this program. The appointment is full-time at CDC in the Morgantown, West Virginia, area. Participants do not become employees of the CDC, DOE or the program administrator, and there are no employment-related benefits.

Overview Join the HJF Team!   HJF is seeking a Bioinformatics Programmer Analyst II to analyze, design, develop, modify, test, and implement software tools and scripts to support analysis of bioinformatic data. Reviews user needs and requests and to develop bioinformatic pipelines supporting primary analysis of clinical, proteomeand genome data. Participates in the development of and ensures adherence to project schedules. Develops custom scripts and applications, test applications, create software patches, and perform routine maintenance.   This position will be in support of Gynecologic Cancer-Center of Excellence (GYN-COE) located at the Women’s Health Integrated Research Center (WHIRC) in Annandale, Virginia. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. Responsibilities • Analyze, design, develop, modify, test, and implement software tools and scripts to support bioinformatic analysis of multi-omic data including clinical, proteome and genome data levels. • Creates detailed test cases and document all programming and systems changes to include flowcharts, layouts, diagrams, charts, code comments, and revision dates. • Uses a variety of technologies, including scripting languages, proprietary and open source software development tools and various data management platforms to create applications, utilities and integrations to help automate research data processing and analysis. • Evaluate and configure systems and peripherals for performance and serviceability, reliability, availability, and performs operational requirement studies within a system environment context. Recommends enhancements or changes to the system configuration to maintain optimum system performance and utility. • Arranges project requirements in programming sequence by analyzing requirements; prepares a workflow chart and diagram using knowledge of computer capabilities, subject matter, programming language, and logic. • Works with senior scientists, data analysts and Information Technology (IT) personnel to determine and design the best technical solutions. • May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role. Qualifications Education and Experience • Bachelor's Degree in Computer Science, Computational Biology, Bioinformatics, or related field. • Minimum of 3-5 years experience required Required Knowledge, Skills and Abilities • Working knowledge of bioinformatics tools and software including R, MATLAB, Perl and Python. Experience with R Shiny desired, but not required. • Demonstrated expertise in bioinformatic data analysis that ideally includes co-authored scientific publications and conference abstracts. • Experience with one or more web client technologies, e.g. JSP, HTML, CSS, JavaScript, AJAX, jQuery, and ExtJS. • Experience with relational database application development and Structured Query Language (SQL, MySQL, etc.) skills. • Strong analytical and problem-solving skills and the desire to learn new technologies. • Strong Java object-oriented design and coding skills with Java-based server technologies. • Excellent communications skills and the ability to work effectively in the scientific research domain. Physical Capabilities • Ability to stand or sit at a computer for prolonged periods. Work Environment • This position will take place primarily in an office setting. Compensation • The annual salary range for this position is $64,200-$80,000. Actual salary will be determined based on experience, education, etc. Benefits • HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.

Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration University of California Los Angeles Requisition Number: JPF10434 Postdoctoral Researchers in the Peng Lab at UCLA The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive groundbreaking discoveries in neurodevelopment and neurodegeneration of the visual system. Our team applies interdisciplinary approaches, combining multi-omics, genetics, molecular biology, evolutionary biology, viral tools, advanced bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover fundamental insights into visual system development, function, and disease. Why Join Us? As a postdoctoral fellow, you will have the opportunity to lead innovative research, collaborate with top scientists, and develop novel computational approaches to analyze complex biological datasets. We are committed to fostering the academic and professional growth of our fellows in a dynamic and supportive research environment. Fellows will have access to state-of-the-art computational and experimental tools, mentorship from experts across disciplines, and opportunities to present their work at prestigious conferences and in high-impact journals. Responsibilities • Lead projects on developing novel analytical methods for studying the development and degeneration of the visual system • Acquire, process, integrate, and standardize large-scale multi-omics datasets and build databases • Perform integrative and exploratory analyses of multi-omics datasets and apply machine learning methods to uncover underlying biological principles Selection Criteria • Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields • Strong experience in data analysis and handling ‘omics' datasets - genomics transcriptomics, and proteomics • Proficiency in R, Python, and other programming languages • Expertise in Linux, Git, Docker, and other high-performance computing environments • Excellent communication and writing skills, with the ability to collaborate effectively in a team To apply, please visit: https://recruit.apo.ucla.edu/JPF10434 The University of California 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, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy, https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction jeid-faa02dfedc56d144915a3db292b02f22

A Bioinformatics Research Scientist position is immediately available under the supervision of Dr. Zhaoming Wang in the Department of Epidemiology and Cancer Control at St. Jude Children’s Research Hospital. Wang Lab is seeking a talented and highly motivated data scientist to apply established and innovative approaches towards analyzing multi-omics data to discover potential biomarkers for risk of chronic health conditions including second cancers among long-term survivors of childhood cancer. In addition to large-scale molecular profiling data encompassing genome, epigenome, and transcriptome, we also have access to rich longitudinal clinical data from the two largest cohorts of childhood cancer survivors: St. Jude Lifetime Cohort and Childhood Cancer Survivor Study. Strong expertise in R and/or Python programming is required. Extensive working experience in next-generation sequencing analysis and domain knowledge in one or more of bioinformatics, biostatistics and genetic/molecular epidemiology are highly desired. The ability to work independently and in a team-setting (multi-tasking and effective communications) is also essential. The Wang Lab is currently focused on cancer genetics (pediatric cancers, subsequent adult cancers), aging biomarkers (telomere, epigenetic age, clonal hematopoiesis), and multi-omics integrative analysis (including single-cell approaches). Job Responsibilities: • Work closely with Dr. Wang and others with the overarching goal of contributing to the clinical research by melding multi-omics data with clinical/phenotypic data for discoveries in the area of precision preventive medicine for survivorship care. • Contribute to multi-omics data management and primary sequencing data analysis by setting up/improving automation pipeline with established computational methods. • Lead the development of analytical workflows (secondary analyses) for assigned research projects. • Learn new bioinformatics techniques for data mining in molecular phenotyping (e.g., deconvolution analysis, mosaicism detection, HLA imputation) • Contribute to the preparation and submission of manuscripts for publication. • Present to collaborators and team members to report scientific discoveries and educate researchers about relevant methods, software or scientific results. • Perform other duties as assigned to meet the goals and objectives of the department and institution. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist - Dr. Zhaoming Wang. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Bioinformatics Analyst V - CGR Job ID: req4334 Employee Type: exempt full-time Division: Clinical Research Program Facility: Rockville: 9615 MedCtrDr Location: 9615 Medical Center Drive, 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 an experienced senior bioinformatics professional 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, targeted, whole-exome, whole-transcriptome and whole-genome sequencing along with viral and metagenomic studies from both short- and long-read sequencing platforms. This includes the analysis of germline and somatic variants, structural variations, copy number variations, gene and isoform expression, base modifications, viral and bacterial genomics, and more. Additionally, we advance cancer research by integrating latest technologies such as single cell, multiomics, spatial transcriptomics, 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, metabolites and develop polygenic risk scores across multiple populations. Our bioinformatics team develops and implements sophisticated, cloud-enabled pipelines and custom data analysis methodologies, blending traditional bioinformatics and statistical approaches with cutting-edge techniques like machine learning, deep learning, and generative AI models. We prioritize reproducibility through the use of 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 CGR and contribute to cancer research in areas such as germline and somatic variant analysis consisting of SNVs and indels, structural variant, copy number variations and microsatellite detection, followed by variant annotation, filtering and association testing in familial and non-familial datasets. The Bioinformatics Analyst V will also develop and maintain software for the analysis of Human Papillomavirus (HPV) typing assays. They will create new, state-of-the-art, accelerated pipelines and leverage strong data analysis and visualization skills to support downstream analytics, enabling interpretation and the derivation of meaningful biological insights. The analyst will integrate publicly available bioinformatics tools, genomic databases, and large biobanks with internal datasets, enabling independent validation of results across diverse tissues and cancer types. They will work closely with DCEG investigators and CGR scientists, operating with a high degree of independence and demonstrating leadership in project execution. This role involves handling large-scale sequencing data, developing robust pipelines, performing downstream analytical modeling, and collaborating with interdisciplinary teams. KEY ROLES/RESPONSIBILITIES • Develop, implement, benchmark and optimize analytical pipelines for germline and somatic variant analysis from short- and long-read whole-genome sequencing (WGS). Ability to interpret variant calling results, encompassing SNP/indel, microsatellite, copy number and structural variant analysis. • Apply statistical approaches to annotate, filter and interpret variants in diverse genetic and genomic datasets and integrate findings with clinical and multi-omics data. Maintain and develop assays for HPV typing using Ion Torrent platform. • Review and QC genomic datasets, perform downstream statistical analysis using phenotypic and clinical metadata. • Demonstrate strong teamwork and communication skills, with the ability to effectively learn and apply new bioinformatics techniques and resources. • Maintain and document bioinformatics software and scripts to ensure reproducibility and scalability. • Participate in group meetings, present findings, and contribute to publications resulting from research projects. BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a Master’s degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, computer science, computational biology or related field. Foreign degrees must be evaluated for U.S. equivalency • In addition to educational requirements, a minimum of ten (10) years of related analytical and bioinformatics pipeline development experience. • Strong experience analyzing ultra-deep genomic datasets from fresh-frozen and FFPE specimens using novel approaches and utilizing accelerated and parallel computing. • Well-versed with variant benchmarking using the latest community standards. • The ability to construct practical computational pipelines for data parsing, quality control, secondary and tertiary analysis requiring in-depth visualization and statistical analysis for large-scale genetic or genomics datasets. • Strong experience analyzing human high-throughput sequencing data (WGS, WES, targeted sequencing) and HPV typing in cancer datasets. • Experience in analysis of family-based trio datasets from cancer epidemiological studies to discover small and large de novo variants. Prepare detailed reports and present to the investigators. Strong programming skills in R, Python and Java with experience in RStudio and Jupyter Notebooks. • Demonstrable shell scripting skills (e.g., bash, awk, sed). • Experience working in a Linux environment (especially a HPC environment or cloud). • Strong problem solving and ability to tackle and solve complex problems independently. • Ability to obtain and maintain a security clearance. PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • A PhD in bioinformatics, computer science, computational biology or related field. • Proficiency with core statistical and bioinformatics methods (linear regression, logistic regression, machine learning) and sophisticated data visualization. • Experience in standard genetic association analysis software like PLINK, SAIGE, regenie. • Expert in R, Python, Java and Bash scripting, and GitHub for code development. Extensive use of markdown documents for sharing and documenting the work. • Knowledge of tools to query and investigate cancer genomics with publicly available data sources (such as dbGaP, TCGA,1000 Genomes, gnomAD) and large Biobanks (AoU and UKB). • Experience working in Linux-based environments and using HPC (high-performance computing) clusters. • Strong experience in genomic data visualization tools such as IGV. • Strong understanding of algorithmic efficiency and working on high performance clusters for supporting large and diverse datasets. • Expert in environment/dependency management tools (e.g. pip, venv, conda, renv) and workflow management systems such as Snakemake, Nextflow and WDL. • Proficiency in using containerization with Docker/Singularity, JIRA for project management. • Proficiency in software and workflow development best practices such as source control, test driven programming and continuous integration/deployment. • Strong analytical and problem-solving skills with attention to detail. • Strong communication skills, and an ability to work both independently and collaboratively. 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 145,800.00 - 250,625.00 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

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position The Opportunity: As a Sr. Bioinformatics Engineer at Roche, you won’t just support cutting-edge science—you’ll help bring it to life. You’ll play a critical role in enabling our customers to analyze genomic data faster and more accurately than ever before, powered by Roche’s groundbreaking Sequencing by Expansion (SBX) technology. SBX is redefining what's possible in next-generation sequencing, shrinking the time from sample to genome from days to hours. Its flexibility, scalability, and speed are set to transform both research and clinical genomics. In this role, you’ll be the vital link between our customers and this breakthrough platform—guiding data analysis pipelines, solving real-world bioinformatics challenges, and directly contributing to the advancement of genomic science. If you’re looking to join a mission-driven team at the forefront of innovation, and help bring a powerful new sequencing technology to life, we’d love to hear from you. Your responsibilities will include: • Train, enable, and support customers during pre- and post-sales stages on successfully implementing data analysis pipelines and technical discussions. • Function as a link between customers and Roche, ensuring adequate bioinformatics and software support in response to customer inquiries. • Collaborate with scientific support teams to investigate Roche solution inquiries or support pipeline implementation optimizations. • Support customer and internal projects involving the design, development, and implementation of bioinformatics pipelines for analyzing large sequencing data sets, enabling the extraction of information. • Partner with Marketing, Sales, and Scientific Support teams to understand commercial needs, identify data analysis gaps, and propose innovative solutions. • Support sales in conducting scientific presentations, technical discussions, and customer meetings • Provide customer feedback to product marketing and software development. Travel 10% to 25% of the time in and outside the Boston area for customer on-site support and training. This role is expected to work onsite at our Wilmington, MA office at least 3 days per week. Who you are: • PhD in a relevant subject (Bioinformatics, Computer Science, Computational Biology, or a closely related subject) with 3 years of related experience OR, Masters degree in a relevant subject (Bioinformatics, Computer Science, Computational Biology, or a closely related subject) with 8 years of related experience Preferred Qualifications: • Strong interpersonal skills and an ability to work as an effective team member of a goal-oriented team. • Demonstrated proficiency in Python, source control tools (git), and pipeline workflow management tools like Nextflow or Snakemake. • Demonstrated experience with next-generation sequencing data analyses and pipeline development or implementation. • Demonstrated experience with implementing cloud-based computing infrastructure • Understanding of Linux systems administration. • Demonstrated ability to plan, build, troubleshoot, and complete solutions to data problems, ideally in life sciences industry. • Excellent organization and outstanding attention to detail. • Excellent writing and verbal communication skills. • A basic knowledge of sequencing. • Knowledge of state-of-the-art sequence analysis tools and workflows, such as sequence alignment, variant calling, de novo assembly, genome visualization, transcript mapping • Knowledge of relational databases, such as PostgreSQL This role is not eligible for relocation benefits The expected salary range for this position based on the primary location of Massachusetts is 122,300 - 227,100.00 USD. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Paid bioinformatics annotator internships are available at MindSpec, Inc. We are currently developing additional interactive database modules for AutDB/SFARI Gene. Interns will be trained to extract data from scientific literature using controlled vocabularies. Qualifications: We are seeking talented and motivated individuals interested in working in a multi-disciplinary team. Responsibilities include participating in the annotation of disease-related information for data mining and visualization. The position offers an opportunity to work in the rapidly evolving area of multi-factorial disease biology in a flexible, dynamic research environment. Applicants must have or be pursuing an B.S. degree or higher in Bioinformatics/Molecular Biology/Neurobiology, or related field, with a strong knowledge of genetics, animal models or neuroimaging. Applicants should also have excellent written and oral communication skills; display good ability to work with others, and the ability to conduct assignments on multiple projects under tight deadlines. How to Apply: Please send cover letter and curriculum vitae to job@mindspec.org.

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 Bioinformatics Analyst I-II will provide data analysis services to researchers in the Dhodapkar lab, particularly focusing on single cell genomics, integration of high-dimensional immunologic data and genome sequencing. This position requires the ability to work independently, manage multiple overlapping demands, and communicate effectively with faculty, post-doctoral fellows, and research staff on a wide range of topics in biology, analytical biochemistry, sound experimental design, and data science. The Bioinformatics Analyst works closely with Shared Resources cores, especially Genomics and Hutch Data core, to ensure that data quality is high and that users have access to advice and continuing dialog as they review results. Given the large volumes and diverse types of data generated and integrated in Bioinformatics projects, practical applied programming skills are also essential. At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect. Responsibilities • Analyze large sequence datasets from diverse workflows including exome capture, RNA-seq, single cell sequencing, ATAC-seq, and CRISPR screens. • Work with Hutch scientists to refine computational research questions and develop analytical processes that can be applied to these genomic datasets. • Consult with researchers on sound experimental design. • Identify appropriate bioinformatics tools to meet the needs of proposed projects. • Partner with researchers who are developing novel assays to design appropriate processing and analysis workflows. • Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the team. • Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications. • Collaborate with colleagues in the Genomics Shared Resource and the Hutch Data Core to ensure the integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines, and provide support as stakeholders analyze and interpret results. • Train laboratory members and collaborators on analytic workflows. • Upload and maintain datasets, workflows, and code (for example GEO, Github). • Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS Bioinformatics Analyst I: • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field. • Some experience in computational analysis of large, complex sequence-based molecular data sets. • Demonstrated proficiency in R and Python 3 are essential. • Familiarity with workflow and scheduling software (e.g., Slurm). • Excellent written and verbal communication skills. Bioinformatics Analyst II: • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field with at least three years’ direct experience in computational analysis of large sequence-based molecular data sets. • Direct experience must include best-practice germline & somatic variant calling from exome capture data, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell profiling data, epigenetic profiling, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq). • Effective use of shell scripting and significant fluency in R and Python 3 are essential. • Facility with commonly used Bioconductor packages, ggplot, tidyverse etc. • Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc). • Familiarity with workflow and scheduling software (e.g. Slurm). • Excellent written and verbal communication skills are absolutely required. PREFERRED QUALIFICATIONS Bioinformatics Analyst I: • A year of more of direct experience in computational analysis of large, complex sequence-based molecular data sets. Bioinformatics Analyst II: • Master’s degree in bioinformatics, computational biology, genetics, or related field. • Two+ years of experience in software development, data engineering, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets. • Experience with single cell transcriptomic analyses and associated pipelines. (e.g. Seurat). • Direct experience includes whole exome sequencing, and integration of data across multiple modalities (e.g., TCR-seq, CITE-seq, ChIP-seq, ATAC-seq, and CRISPR/Cas9 knockout screens). 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. 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.

Mission or Goal of Unit: Virginia Commonwealth University (VCU) is a premier urban, public research university with a diverse student body in historic Richmond, Virginia. VCU enrolls more than 28,000 students on two campuses. The Center for Biological Data Science (https://cbds.vcu.edu) in VCU Life Sciences is a Chartered Research Center and focal point for bioinformatics instruction at VCU. The Center consists of 12 full-time, affiliate, and adjunct faculty and staff. The unit administers several academic programs, including a Bachelor of Science in Bioinformatics and Master's degree programs for thesis (MS in Bioinformatics) and non-thesis (Professional MS in Bioinformatics) seeking students. Beginning in the Fall of 2025, the Bioinformatics programs will reside in the new School for Life Sciences and Sustainability in the College of Humanities and Sciences (https://chs.vcu.edu/). The School for Life Sciences and Sustainability comprises more than 60 full-time faculty who support undergraduate and graduate degrees in Biology, Environmental Studies, Integrative Life Sciences, as well as Bioinformatics. Chief Purpose of this position in support of the above mission or goal. The Center for Biological Data Science is seeking applicants for the position of Assistant Professor (non-tenure eligible) whose expertise in bioinformatics will contribute to the teaching and service missions of the program. The core mission of the Center for Biological Data Science focuses on bioinformatics instruction and research. This is a unique and exciting opportunity for the selected individual to be part of a growing bioinformatics program and an interdisciplinary faculty. Position Responsibilities: This 9-month faculty position will be housed in the Center for Biological Data Science and report to the Director. This position has both teaching (80% effort) and service (20% effort) effort allocations. Primary responsibilities for instruction will support the existing bioinformatics curriculum (e.g., courses such as Introduction to Scientific Computing or Introduction to Bioinformatics) and develop upper-level courses aligned with the individual’s expertise. Required Qualifications: • Ph.D. in Bioinformatics, Computer Science, Biology, Molecular Biology, Evolution, Ecology, Statistics, Mathematics, or other discipline salient to bioinformatics. • Fluency in conducting bioinformatics analyses. • Excellent interpersonal skills and ability to communicate effectively and positively in a team environment. • Broad understanding of skills salient to teaching core content in bioinformatics (data collection & analysis, and hands-on education). • Demonstrated experience working in and fostering an environment of respect, professionalism and civility with a population of faculty, staff, and students from various backgrounds and experiences, or a commitment to do so as a faculty member at VCU. Preferred Qualifications • Experience teaching at the undergraduate level (or equivalent). • Fluency in the R or Python programming language for data analysis. • Development experience with scripting languages for bioinformatics analyses. • Demonstrated ability to manage multiple work priorities, meet deadlines, and work independently and cooperatively as a team member. Application Instructions Applications should include a cover letter, curriculum vitae, teaching statement, and contact information for three references. Questions about the position should be directed to the search committee chair, Dr. Allison Johnson, at aajohnson@vcu.edu. Position Type: Teaching & Research Faculty Full time equivalent: 100% Tenure: Ineligible Rank: Assistant Professor Months: 9 Department: Center for Biological Data Science, VCU Life Sciences Salary: Up to $70,000, commensurate with experience Contact Information: Contact Name: Allison Johnson Contact Email: aajohnson@vcu.edu Contact Phone: