Bioinformatics Jobs

Imagine being involved with innovative projects that change the course of our industry daily! Labcorp is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our Invitae team, now part of Labcorp, is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life. We have an excellent career opportunity for a Clinical Bioinformatics Scientist to join our growing team. This is a US remote based position. If you have a passion for making quality and data integrity a priority, this is an ideal position for you! Position Summary The Clinical Bioinformatics Scientist is part of a team responsible for the evaluation of the truth of clinically reportable variants and is often required to investigate unique genetic or genomic signals identified in production data. In addition to handling production data, the team is responsible for monitoring data quality metrics and troubleshooting the root cause of quality control failures related to both the mainline Next Generation Sequencing (NGS), Whole Genome Sequencing (WGS), and confirmatory assays. All the team’s work directly impacts patient results, making problem-solving both motivating and rewarding and making quality and data integrity the most important aspects of the role. Preferred Qualifications: • Strong knowledge of genetics • Experience with NGS data analysis in either an academic or industry environment · Familiarity with IGV or other genome browsers • Knowledge of common NGS alignment, variant calling, and visualization tools • Familiarity and/or hands-on experience with NGS wet lab protocols, preferably in a production setting but academic knowledge may be sufficient • Excellent written and verbal communication skills • Familiarity with any of the following: • Laboratory Information Management Systems (LIMS) • Python, R, SQL, or other programming languages • git, GitHub, or other version control systems • Project management software such as Jira, Asana, Monday, etc. Essential Duties: • Review and assess the veracity of specific genetic variants (SNVs and CNVs) in NGS or WGS data that are flagged for manual intervention. This process entails making decisions that will determine if a variant is reported to a patient or not. • Review results from confirmatory assays that corroborate or refute calls made in the primary assay. This can lead to contradictory results between assays where the scientist will need to make the final decision. • Troubleshoot quality control anomalies generated by automated pipelines at the sample and/or batch level. • Triage stuck samples, variants, and reports. • Support other production duties like requests from other teams, production on-call shifts, and program development. • Work collaboratively with other teams such as bioinformatics, automation, engineering, clinical genomics, laboratory scientists, laboratory directors, and research scientists in a cross-functional manner. Education/Experience • Bachelor's degree in a biological field (e.g., biology, microbiology, genetics, genomics, bioinformatics, biochemistry, etc.) and four years of relevant professional experience, minimum requirement. • Master's Degree in a biological field (e.g., biology, microbiology, genomics, bioinformatics, biochemistry, etc.) and two years of relevant professional experience preferred. Application window open through: 07/08/2025 Pay Range: $110,000 - $140k (USD) All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Why People choose to work at Labcorp: At Labcorp, it is our people that make us great – it is what our clients, our partners and, most importantly, what our employees say. Here, you will have the opportunity to collaborate with extraordinary people with diverse viewpoints. You will discover your own outstanding potential as we build an even stronger organization with industry leaders from early development to the clinic and beyond. We help our clients develop medicines that improve health and improve lives of their family and friends. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

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

Description Position Summary: We are seeking a highly-skilled Bioinformatics Data Analyst to join our team. The ideal candidate will be responsible for retrieving managing and visualizing large datasets while developing custom applications and the integration of laboratory equipment. Minimum Skills Basic understanding of molecular biology protein biochemistry genetics. Employ bioinformatics tools and software such as Snapgene Geneious Genedata Biologics Pipebio or Benchling for data analysis and management Proficient in MS Excel and programming skill in languages such as SQL Python or R Expert in data retrieving wrangling and management of large datasets from databases. Ability to create dynamic and interactive data visualizers prior experience with any of these PowerBI Tableau D3.js and Spotfire Preferred Skills Working experience with related libraries in creating custom applications Pandas NumPy SciKit-lern Matplotlib Seaborn and Streamlit Prior experience with programming and integrating laboratory equipment for data capture Knowledge of the antibody or genetic medicine drug discovery and development process Qualifications: - A degree in Bioinformatics Computational Biology Data Science Computer Science or a related field is preferred. - Proven experience in data analysis visualization and the development of bioinformatics applications. - Strong problem-solving skills attention to detail and the ability to work collaboratively in a fast-paced environment. Education B.S. in a science discipline or bioinformatics and 3 years of experience or M.S. in a scientific discipline or bioinformatics and 2 years of experience.

Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. You will be working with an unparalleled, leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference, and participate in human advancements. Our culture is fast-paced, energetic, and growing all the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: • Events and programs for children, sports camps, and tuition options • World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty • Work/life and family-friendly policies and reimbursement • Participation in Stanford’s social responsibility and sustainable programs for a better world • A vibrant university culture that values the uniqueness of each individual We are seeking candidates who are progressive thinkers, see challenges as simple problems to solve, and have the spirit and energy to change the world. About the Department of Pathology: The Department of Pathology at Stanford School of Medicine, one of its founding departments, stands as a leader among its peers nationwide. Our preeminent faculty spans from emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of human disease. This is done through discovery (research), education, and clinical care. Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk of developing disease. We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields. Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit http://pathology.stanford.edu/ About GREGoR Stanford Site: GREGoR Stanford Site (GSS) is one of 6 sites in the National Institutes of Health (NIH)’s Genomics Research to Elucidate the Genetics of Rare disease (GREGoR) Consortium. The GSS (https://gregor.stanford.edu/) mission is to provide a platform for functional genomics research and validation to improve diagnosis in Mendelian disease through integrated analysis of multi-omics data. GSS is led by co-PIs Dr. Stephen Montgomery (Department of Pathology), Dr. Matthew Wheeler (Division of Cardiovascular Medicine), and Dr. Jon Bernstein (Division of Medical Genetics). At GSS, research participants who remain undiagnosed after exome sequencing will undergo short-read and long-read genome sequencing, transcriptome sequencing, methylation assays, metabolomics, and/or lipidomics assays. State-of-the-art computational algorithms and new methods will be applied and developed to prioritize the variants and genes. The data will be analyzed in a secure and scalable manner using a HIPAA compliant cloud platform like AnVIL and Google Cloud Platform (GCP). Novel causal variants and genes will be validated through state-of-the-art targeted approaches, including massively parallel reporter assays, induced-pluripotent stem cell assays, and CRISPR engineered cellular and mouse models. About the Position: We are seeking a highly talented and motivated Bioinformatics Engineer to support our GSS pipeline and data analysis team. Your role will focus on the development of pipelines and tools for the comprehensive analysis of large amounts of molecular data generated by the GSS, with special emphasis on genomics, transcriptomics, and metabolomics datasets. You will also establish and support cloud infrastructure for storage and computation of the multi-omics data. Your ability to understand biological experiments, strong experience in the analysis of large-scale biological datasets, proficiency with programming languages, and experience in high-performance computing environments or cloud will be a key resource in enabling high-quality data to flow through our systems to enable diagnosis and discovery of new disease-gene associations. A complete application will include a CV and cover letter. Duties Include: • Development of pipelines and tools for the comprehensive analysis of large amounts of multi-omics data being generated by the GSS. • Establish and maintain the cloud infrastructure for GSS on AnVIL and GCP. • Interact with GREGoR team members as well as external tool developers to implement new tools, algorithms, and updates. • Develop intuitive reports for molecular pipelines for tracking progress and quality metrics. • Track reports for problems with pipeline analysis and underlying data. • Extract relevant data from a variety of sources, including RESTful API services, databases, and medical records. • Serve as a resource for bioinformatics inquiries from the clinical team members to access data or results from the local cluster/cloud/external provider. • Work with stakeholders across the consortium to best understand data structures to model metadata schemas. • Mentorship to Junior Analysts with regards to primary analysis • Document and report as needed to fulfill grant and regulatory obligations. • - Other duties may also be assigned Desired Qualifications: • Graduate degree (Ph.D or M.S.) that emphasizes bio/medical informatics, engineering, computer science, and statistics are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, metabolomics, atac-seq, proteomics. • Proficiency in Python and/or R and Linux bash scripting. • Experience with pipeline languages like WDL or snakemake or nextflow. • Proven track record of data and infrastructure management in HPC (High Performance Computing) cluster or cloud computing, like Google Cloud Platform or AWS. • Experience with container systems, such as setting up virtual machines and docker instances. • Experience and knowledge of code management, such as GitHub. • Experience in systems biology approaches for data integration is a plus. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (rare disease) is a plus. • Experience in bioinformatics and/or software development team-based projects. • Willingness to work in a highly collaborative environment. Experience as part of large NIH consortium is a plus. • Ability to quickly adapt and learn the latest tools and skills. • Strong communication skills (e.g., put together reports and presentations). • Ability to work independently (e.g., find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results). Education & Experience (Required): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills, and Abilities (Required): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. Physical Requirements*: • Sitting in place at a computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. • - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Working Conditions: • Some work may be performed in a laboratory or field setting. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or course auditing. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the university will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Stanford is an equal employment opportunity and 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, protected veteran status, or any other characteristic protected by law.

Details Open Date 07/03/2025 Requisition Number PRN16010N Job Title Bioinformatics Data Analyst I Working Title Bioinformatics Data Analyst I Job Grade F FLSA Code Administrative Patient Sensitive Job Code? Yes Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary Monday – Friday (flexible hours) Is this a work study job? No VP Area U of U Health - Academics Department 00255 - Radiation Oncology Som Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 22.88 - 28.02 Close Date 08/30/2025 Priority Review Date (Note - Posting may close at any time) Job Summary We are seeking a highly motivated Data Scientist/Biostatistician with strong analytical skills and an interest in cancer research. The successful candidate will support innovative research focused on understanding and improving cancer outcomes in rural and urban populations utilizing large national datasets such as NHANES , NHIS , BRFSS , HINT survey, along with data from institutional Electronic Medical Records ( EMR ). Our multidisciplinary research will focus on mental health and rural populations , but will also addresses crucial issues such as cognition, fatigue, obesity, relationships, finances, professional reintegration, behaviors affecting recurrence risk, and overall patient well-being. This role uniquely combines data science, biostatistics, and research coordination responsibilities, offering significant opportunities for professional growth, academic publication, and contribution to impactful patient-centered outcomes research. Responsibilities Essential Functions: • Data Management and Analysis (70%): • Extract, clean, and integrate datasets from institutional EMR (Epic), public datasets (eg. NHIS , BRFSS , etc), and cancer-specific resources ( NCDB ). • Conduct statistical analyses (logistic regression, survival analysis, mixed-effects models, propensity matching, etc). • Apply data science techniques including visualization methods. • Prepare clear, publication-quality reports, tables, and figures for manuscripts and presentations. • Interview patients to elicit their healthcare experiences and needs. • Research Coordination and Regulatory Support (30%): • Prepare and manage IRB documentation for research protocols • Coordinate timelines, schedule research meetings, and track project milestones. • Assist in manuscript preparation, including drafting methods/results sections and managing submission processes. • Support grant application preparation, particularly in assembling preliminary data and documents. This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. Work Environment and Level of Frequency typically required Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead. Minimum Qualifications Bachelor’s of Science degree with a focus on Bioinformatics, Biostatistics, Computer Science or Molecular Biology or equivalency (one year of education can be substituted for two years of related work experience). Two years of experience in genomic data analysis required. Demonstrated human relations and effective communication skills also required. Software development experience in object oriented programming using Java, Python, and or C++ and familiarity with molecular biology, genomics and some biostatistics helpful. Master of Science degree or PhD in Bioinformatics, Computer Science and/or Life Sciences preferred. Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description. Preferences • Concurrent expertise in Data Science and Biostatistics is required. • Bachelor’s of Science degree with a focus of Bioinformatics, Biostatistics, Computer Science or Data Science. • Master of Science Degree or PhD in Biostatistics, Bioinformatics, Computer Science and/or Life Sciences strongly preferred. • Previous experience with advanced analytic methods, data extraction, and coding. • Natural language processing ( NLP ), and machine learning abilities are a plus, but not required. • Experience working in cancer research or other clinical research domains. • Willingness and ability to learn. • Driven, detail oriented, independent, and a problem solver. • Strong fluency in English is required. • Strong interpersonal skills is required. • Residency in Utah is required. Special Instructions Summary Additional Information The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. The University of Utah values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients. All qualified individuals are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action ( OEO /AA). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at: https://www.utah.edu/nondiscrimination/ Online reports may be submitted at oeo.utah.edu https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

About Ancestry: When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious. The DNA Science team at AncestryDNA has the privilege of enabling our customers to learn about themselves and their family history through DNA. We are a diverse team, all passionate about discovery, with access to a dataset unlike any other in the world. We drive innovation in our product and we indulge our curiosity. We are customer obsessed. We have a growth mindset. We think big. We know how to achieve big goals through a succession of quick wins, and we also create space for long-term or high-risk endeavors. We are seeking a highly motivated Bioinformatics Engineer to join our team. Our ideal candidate will have a solid academic background or initial professional experience in bioinformatics, coupled with some experience in cloud computing. As a Bioinformatics Engineer, you will contribute to the development and maintenance of bioinformatics pipelines, learn to support our AWS infrastructure, and help implement automated workflows to advance our scientific research initiatives. What you’ll do.. • Collaborate with scientists to understand requirements and assist in the design, implementation, and maintenance of bioinformatics workflows and tools for analyzing large datasets. • Automate existing science processes and collaborate with stakeholders to transition research and machine learning software into production environments. • Work closely with other Bioinformatics engineers to support the building and maintenance of the scalable cloud environment used by Ancestry’s DNA Science team. • Assist in managing AWS infrastructure to support scalable bioinformatics pipelines and advanced scientific computing workloads.​​ • Apply coding and software best practices to improve software quality. • Participate in the enhancement of legacy codebases to improve efficiency, performance and maintainability. Who you are.. • A Bachelor’s or Master’s degree in Bioinformatics, Computer Science, or related field with 1- 3 years of relevant industry experience, or equivalent combination of education and experience • Demonstrated experience in building bioinformatics pipelines, ideally for analyzing large datasets. • Proficiency in Python and a willingness to learn other relevant programming languages (e.g., Rust, C++). • Exposure to cloud computing concepts (preferably AWS), with an interest in learning infrastructure management tools like AWS Batch and Parallel Cluster. • Understanding of basic principles for deploying pipelines in cloud environments (e.g., AWS, GCP, Azure). • Familiarity with workflow orchestration tools like Nextflow or Snakemake. • Experience using Conda for managing packages and environments. • Experience with Git for version control. Exposure to or interest in CI/CD concepts is a plus. • Basic understanding of infrastructure-as-code concepts and an interest in learning tools like Terraform or AWS CloudFormation. • Excellent communication and interpersonal skills. • Ability to work effectively both independently and as part of a team. Preferred Qualifications: • Exposure to containerization technologies such as Docker, with an understanding of their benefits. • Familiarity with infrastructure-as-code concepts and some exposure to tools like Terraform. • Experience utilizing cloud computing resources for scientific workloads, and an interest in distributed computing architectures. Helping people discover their story is at the heart of ours. Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity. We are pleased to share the base salary range for this position: $83,160- $103,950 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process. Read more about our benefits HERE. • Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23) Additional Information: Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities. All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records. Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

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 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.

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.

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.