Bioinformatics Jobs

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights • Medical: Multiple plan options. • Dental: Delta Dental or reimbursement account for flexible coverage. • Vision: Affordable plan with national network. • Pre-Tax Savings: HSA and FSAs for eligible expenses. • Retirement: Competitive retirement package to secure your future. Responsibilities A Research Fellow opportunity is available under the mentorship of Dr. Arjun Athreya in the Department of Molecular Pharmacology and Experimental Therapeutics. The successful candidate will work in bioinformatics research in a multi-omic integration program. Applicants who apply should have a strong background in bioinformatics skills, as well as excellent verbal and written skills. A Research Fellow in Bioinformatics/Biostatistics (BST) will have a primary focus in developing software and research techniques and/or tools to analyze and then aid in understanding biological data. Responsibilities and skills required involve computer programming, calculating statistics related to biological information, and mathematics. A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic. To learn more about the exciting research being done on Mayo Clinic’s campuses, please visit Research at Mayo Clinic - Mayo Clinic Research. Applicants may search for research postdoc opportunities here: jobs.mayoclinic.org/post-doctoral-jobs. Qualifications Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. Exemption Status Exempt Compensation Detail $68,564 - $80,210 / year; Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter Kara Schott

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.

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 III will provide data analysis services to researchers in the Fred Hutch Clinical Testing Labs - Molecular OncologyXXXX lab, particularly focusing on molecular, 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, lab managers, lab staff, staff scientist, and research staff on a wide range of topics in biology, analytical biochemistry, sound experimental design, and data science. The Bioinformatics Analyst will work closely with the medical director, clinical laboratory director, and MO staff for clinical variant analysis as well as development and execution of small programming and database projects related to the data analysis workflows needed for the Fred Hutch clinical testing labs. The BA is also expected to work closely with NIH teams, Fred Hutch IT teams, Shared Resources cores, especially Genomics and Hutch Data core, and as needed SWOG data teams, 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. Responsibilities PRIMARY/ESSENTIAL DUTIES: • Supports the maintenance of computational infrastructure and the flow of samples and information for large-scale studies in compliance with applicable FDA, NYS-DOH, CLIA, and CAP regulations. • Contribute to web-based bioinformatics (both public and internal relational databases), and assists in the development as well as the application of computational tools. • Interpret complex biological information, conduct statistical and genomic analysis. • Write custom scripts to access databases, perform and evaluate quality control and analyze sequencing data (must be proficient with NGS, LRS data would be a desirable skill). • Assist in the development and refinement of data analysis and integration methodology and pipelines. Must have ability to write scripts automating data transfers to and from AWS and other databases, and can incorporate API. • 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). • Excellent written and oral communication skills - required for manuscripts, grant, presentation, preparation. • Candidate must demonstrate outstanding personal initiative and creativity in problem solving. • Other duties as assigned. SCOPE OF RESPONSIBILITY: • Level of autonomy: A senior level position that works under minimal supervision, works on and completes complex projects requiring advanced knowledge and skills. Ability to conduct clinical variant analysis as part of the clinical data review team, manage multiple overlapping demands, work independently as well as balance their own schedules, and communicate effectively with faculty, managers, lab staff, and research staff on a wide range of topics in molecular biology, analytical biochemistry, sound experimental design, and data science. • Financial responsibility: None Qualifications MINIMUM QUALIFICATIONS: • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field. • At least three years’ direct experience in computational analysis of large, complex sequence-based molecular data sets. • 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. • Direct experience must include whole exome sequencing, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell immune repertoire profiling data, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling, TCR-seq, CITE-seq, ChIP-seq, ATAC-seq, and CRISPR/Cas9 knockout screens). • Demonstrated fluency in R and Python 3 are essential. • Proficiency with Linux/Unix shell scripting (e.g., bash). • 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. PREFERRED QUALIFICATIONS: • Master’s degree in bioinformatics, computational biology, genetics, or related field. • Experience handling data in compliance with FDA, NYS-DOH, CAP, and CLIA regulations. The annual base salary range for this position is from $95,888 to $143,811, 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.

Payroll Title: BIOINFORMATICS PROGR 3 Department: MEDICINE/ Biomedical Informatics Hiring Pay Scale $94,400 - $123,000/YR. Worksite: East Campus (La Jolla) Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday-Friday #135391 Bioinformatics Programmer Filing Deadline: Tue 6/3/2025 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. This is a UC San Diego Internal Recruitment open to UCSD and UCSD Health System Staff Only UCSD Layoff from Career Appointment: Apply by 05/16/2025 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 05/21/2025. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. Biomedical Informatics researchers develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies. The goals of the Department of Biomedical Informatics (DBMI) are to (1) promote excellence in biomedical informatics research, (2) collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses, (3) train the next generation of biomedical informatics specialists, and (4) interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research. This department leads multiple federally and non-profit funded biomedical research projects, which are focused on the integration, analysis, and sharing of biomedical and health care data for the scientific community, as well as patient-centered research. In addition, the department runs a complex computational infrastructure that allows access and analysis of these data in a privacy-preserving manner. Under general supervision, applies machine learning and deep learning, and mission-critical healthcare real-time artificial Intelligence software development. This involves in-depth evaluation of variable factors impacting medium to large healthcare integration and implementation science projects of broad scope and complexities. Independently determines research and development projects and communicates project plans, milestones, and key performance indicators with team-members and executive-level management. Designs, develops, and optimizes components / tools for major high performance computing (HPC) applications, using cloud computing, and involving hundreds to thousands of hospital beds. May manage a team of data scientists and IT experts to integrate with existing electronic medical records and bedside devices, based on interoperability standards such as FHIR and C-CDA. May manage one or more team of research staff and engineers through the design, implementation, evaluation and continuous improvement cycle. Gives technical presentations to associated hospital IT leadership, clinical, and administrative leadership. Evaluates new hardware and software technologies for scalable and fault-tolerant deployment of clinical grade artificial intelligence clinical decision support systems. May organize and represent the organization at national and international critical care and machine learning/artificial intelligence conferences. Directs a team of engineers to ensure implementation and compliance with quality management systems. Leads a team of engineers to prepare submissions for FDA regulatory approval of software as a medical device. Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently. MINIMUM QUALIFICATIONS • Seven years of related experience, education/training, OR an Bachelor’s degree in related area plus three years of related experience/training. • Demonstrated experience working with Python, TensorFlow, PyTorch, Matlab. Must have experience with real-time implementation of artificial Intelligence clinical decision support systems and health care data exchange protocols such as HL7 and FHIR. • Experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base. • Demonstrated experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI. • Experience with Graph Neural Networks, and Large Language Models, including Vector Databases. • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. Experience with Python, MATLAB, C. • Thorough knowledge of bioinformatics programming design, modification and implementation. • Understanding of relational databases, web interfaces, and operating systems. • Strong project management skills. • Thorough knowledge of modern biology and applicable field of research. • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Ability to interface with management on a regular basis. • Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Thorough knowledge of web, application and data security concepts and methods. PREFERRED QUALIFICATIONS • PhD degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $94,400 - $176,800 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $45.21 - $84.67 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening.

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.

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

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. The Senior Bioinformatics Scientist will work in a collaborative, cross-functional environment to drive the development of existing and new sequencing technologies. In this role, they will design and implement pipelines for data quality assessment, provide actionable insights from experimental data, and contribute to defining Illumina’s R&D data quality and product strategy. Responsibilities: • Plan and execute quality assessments for existing and novel sequencing technologies. • Collaborate with subject matter experts across R&D functions to understand, define, and communicate sequencing technology requirements for research and clinical applications. • Design, deploy, and optimize pipelines for secondary analysis and quality assessment of sequencing data. • Contribute to the development of automated testing infrastructure. • Drive the analysis, integration, modeling, and interpretation of experimental data. • Translate complex analysis results into actionable recommendations for technology development and improvement. Present results clearly and effectively to both technical and non-technical stakeholders. • Stay current on the latest publications and relevant research and identify established methods that should be incorporate into method development. Requirements: • Strong understanding of next-generation sequencing technologies and their underlying principles. • Proficient programming skills with experience in one or more languages, such as Python or R. • Experience working with Unix/Linux and High Performance Computing (HPC) environments. • Proficiency with common bioinformatics algorithms and methods. Hands on experience of quality control and analysis of data generated from a variety of omics, such as WGS, scRNA, somatic profiling, proteomics, methylation, etc. • Solid understanding of statistical and biological concepts; strong data analysis and visualization skills. • Strong data analysis and visualization skills. Desired: • Experience working with cloud environments (e.g., AWS). • Experience with workflow management languages, such as Nextflow, WDL, etc. • Familiarity with containerization tools, such as Docker, and similar technologies. • Excellent communication skills and a proven track record of collaborating with diverse teams. Education: • Masters/PhD in bioinformatics, computer science, data science, engineering, mathematics or equivalent • Typically requires a minimum of 3 years of related experience with a Master’s degree; or a PhD with 0-3 years of experience; or equivalent experience #LI-HYBRID The estimated base salary range for the Sr Bioinformatics Scientist role based in the United States of America is: $126,800 – $190,200. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off. At Illumina, we strive to foster a diverse and inclusive workplace by cultivating an environment in which everyone contributes to our mission. Built on a strong foundation, Illumina has always been rooted in openness, collaboration, and seeking alternative views and perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and demonstrate our collective commitment to diversity and inclusion in the communities we live and work. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship. Tagged as: Computer Science, Data Science, Life Sciences

Scientist I – Computational Biology and Bioinformatics The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science. Join the Seattle Hub for Synthetic Biology (SeaHub), a new initiative at the intersection of academic creativity and start-up style execution. Our mission is to reimagine living cells and genomes as devices for recording biology and diagnostic information over time, as well as for encoding real-time therapeutic decision-making. Take off with us as we imagine — and create — a kind of cellular flight recorder that can also seize the controls. Be part of a small dynamic team on the ground floor of a new program with world-class scientists. SeaHub is looking for a Scientist I, Computational Biology and Bioinformatics for the “Read” team. The computational biologist should have a very strong background in each of two areas: 1) next-generation genomic technology development methodology and 2) writing ad hoc and bespoke bioinformatics scripts in Python and R to do detailed bioinformatics analyses of next-generation sequencing data. The role will include leading the effort to process and analyze large amounts of diverse sets of sequencing data (both short-read and long-read) to draw conclusions from wet lab experiments, in close collaboration with teams focused on expanding our abilities to engineer cells and genomes to autonomously “Write,” “Sense,” and “Act” at a molecular level. The successful candidate will play a key role in advancing our ability to record lineage and signaling information in the genomes of mammalian cells. This position requires a collaborative mindset, timeline-management abilities, and the ability to work cross-functionally with other research teams to drive project success. At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Essential Functions • Develop next-generation sequencing analysis scripts and pipelines that run on cloud-based architectures (CodeOcean, AWS) • Manage cloud-based data transfer and storage on AWS and other cloud-based servers • Independently perform in-depth bioinformatics analyses on generated sequencing data from wet lab experiments and work with experimental teams to guide project direction • Develop and disseminate written reports summarizing data processing and analysis results and findings with a reasonable turnaround time • Develop bespoke computational biology tools and bioinformatics scripts as needed to advance internal research projects • Follow industry software development and bioinformatics best practices - participate in code reviews, version code, track issues, and write proper documentation • Troubleshoot technical barriers to progress in the reading of synthetic records • Maintain a detailed electronic notebook and create presentations to summarize progress and frame internal decision-making • Mentor and motivate others to perform the above functions Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. Required Experience and Education • PhD in genetics, genomics, computational biology, bioinformatics, or related field; or equivalent combination of education and experience • Very strong coding ability in R and python Preferred Education and Experience • 0 – 5 years relevant post-doc experience • Expertise in functional genomics and screening, single cell genomics, synthetic biology, or related domains, including demonstrated mastery of molecular biology • Track-record of working as part of a team and understanding the importance of team dynamics • Understanding how data is generated from wet lab experiments in a molecular biology / cell culture laboratory • Expertise with AWS and CodeOcean cloud computing • Outstanding scientific achievement • Experience with molecular biology, mammalian cell culture, stem cell culture, developmental biology or immunology, genomics, and mouse genetics • Experience with lineage tracing algorithm development • Excellent written and verbal communication skills • Strong project management and organizational skills • Excellent analytical and problem-solving skills combined with capacity for complex, detail-oriented work Physical Demands • Fine motor movements in fingers/hands to operate computers and other office equipment Position Type/Expected Hours of Work • This role is currently working onsite and is expected to work onsite for the majority of the working hours. We are a Washington State employer, and the primary work location for Allen Institute employees is 700 Dexter Ave N.; any remote work must be performed in Washington State. Travel • The successful applicant may be invited to attend occasional national and international conferences Additional Comments • **Please note, this opportunity offers relocation assistance** • **Please note, this opportunity offers work visa sponsorship** Annualized Salary Range • $90,900 - $112,400 * • Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable. Benefits • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institute’s Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

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.

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