Bioinformatics Jobs

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. As a Bioinformatics Engineer, you will play a critical role in developing and implementing bioinformatics algorithms and software solutions to analyze and interpret complex biological data. Your expertise will contribute to advancing research and development efforts in the field of genomics, computational biology, and population genetics.. You will collaborate closely with interdisciplinary teams, including scientists, software engineers, and data analysts. This role role will report directly to the Manager of Bioinformatics Engineering. Responsibilities Bioinformatics algorithm development • You will design, develop, and optimize bioinformatics algorithms and workflows for analyzing and interpreting high-throughput data. • You will apply statistical and computational methods to analyze large-scale datasets, including next-generation sequencing (NGS) data • You will implement data preprocessing workflows, catalog data, and manage efficient access to and processing of data. Software Development and Engineering • You will develop robust and scalable software solutions for bioinformatics data analysis • You will implement efficient data storage and retrieval mechanisms for large-scale biological datasets, leveraging databases and AWS technologies. Pipeline Development and Automation • You will automate data processing, analysis, and visualization workflows, ensuring efficiency and consistency across multiple projects. • You will develop tools and frameworks to streamline data integration, annotation, and interpretation, facilitating data-driven insights and decision-making. Collaboration and Cross-functional Communication • You will collaborate closely with scientists, researchers, and domain experts to understand their requirements and translate them into scalable bioinformatics solutions. • You will collaborate with data scientists, software engineers, and biologists, to integrate bioinformatics components into larger research projects or products. • You will communicate complex bioinformatics concepts and methodologies to non-technical stakeholders Data Analysis and Visualization • You will perform statistical analysis, data mining, and visualization of biological datasets • You will develop interactive and intuitive visualizations or dashboards Quality Assurance and Documentation • You will conduct rigorous testing, validation, and quality control of tools, pipelines, and software solutions. • You will document methodologies, algorithms, and software implementations • You will stay updated with the latest advancements and technologies in all related fields Qualifications • You have a degree in Bioinformatics, Computational Biology, Biotechnology, or a related field. • You have a minimum of 2 years in bioinformatics algorithm development, software engineering, data science, or a related role. • You have strong programming skills in languages such as Python, R, or Java, along with proficiency in Nextflow, Snakemake or similar. • You have experience with cloud computing, ideally AWS • You have experience with DevOps best practices and tools, including CI/CD, Git, IAC, Jenkins • You have experience with high-throughput data analysis, including NGS data, and/or microarray data. #IND2 #LI-JE1 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: $104,400 - $154,530 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

Job Summary Skiltrek has an exciting contract opportunity for a Bioinformatics Analyst within the special part of the organization to support a collaboration supporting drug discovery and basic disease biology investigations. The successful candidate will be responsible for all aspects of bioinformatics analysis for transcriptomics and other specialized experiments. Individuals with experience... interpreting biological data related to understanding human disease biology, drug target identification, or treatment mechanism of action are preferred. The successful candidate will work closely with a senior computational biologist to ensure smooth communication across teams and timely delivery of results. The ideal candidate must have previous experience in gene expression analysis, be comfortable using R to do data analysis, and have excellent communication skills. location: Mettawa, Illinois job type: Contract salary: $50 - 60 per hour work hours: 9am to 5pm education: Bachelors Responsibilities Responsible for all aspects of bioinformatics analysis for transcriptomics and other specialized NGS experiments. Qualifications Experience level: Education: Bachelors (required) Skills Modeling About Us Skiltrek is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. At Skiltrek, we promise you the perfect opportunity of building technical excellence, understand business performance and nuances, be abreast with the latest happenings in technology world and enjoy a satisfying work life balance. Skiltrek is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Skiltrek is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation

Payroll Title: BIOINFORMATICS PROGR 2 Department: CELLULAR & MOLECULAR MEDICINE Hiring Pay Scale... $63,000 - $88,000 / Year Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 2 Work Schedule: Days, 8 hrs/day, Monday - Friday #124783 Bioinformatics Programmer 2 Filing Deadline: Tue 9/5/2023 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. For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy UCSD Layoff from Career Appointment: Apply by 8/24/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 9/5/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION The mission of the collaborative effort between the Bintu lab and the UCSD Center for Epigenomics is to develop a quantitative and molecular framework to study the function and regulation of the human genome, with the ultimate goal to understand the molecular basis of neurodegenerative diseases. The epigenome plays a central role in regulating the functional output of the genome during development. Changes in the epigenome that result from exposure to stress, pathogenic conditions, and aging can determine the patterns of gene expression and predispose an individual to diseases. Epigenome research promises to significantly improve our understanding of the factors that drive human development and disease. The Bintu lab and the UCSD Center for Epigenomics works with researchers on the UCSD campus and beyond to foster the application of epigenomic concepts and technologies to clinical, translational, and basic research. Under the co-mentoring of Assistant Professor Bogdan Bintu and the Associate Director of Spatial Genomics Quan Zhu, the incumbent will help in running, customizing, and optimizing data analyses pipelines for spatial transcriptomics/genomics experiments. The incumbent will help to evaluate data quality and gain biological insights, as well as assist to prepare results for oral presentation, scientific publications, and grant applications. Furthermore, the incumbent will be trained in maintaining the advanced Fluorescence In Situ Hybridization (FISH)-based imaging technologies to conduct high throughput, spatially resolved single cell analysis of transcriptomics and chromatin structure. CT - Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives. MINIMUM QUALIFICATIONS • Six (6) years of applicable experience or a Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training plus two (2) or more years of relevant experience. • Working knowledge of bioinformatics methods and data structures. • Working knowledge of applications programming and web development. • Working knowledge of databases. • Working project management skills. Excellent organizational, problem solving, and analytical skills, and attention to detail. • Working knowledge of modern biology and applicable field of research. • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. Ability to effectively prioritize workload and meet deadlines despite interruptions and competing demands. • Working knowledge of application and data security concepts. • Working knowledge in genomics, biostatistics, molecular biology, and/or genetics. • Ability to work in a dynamic "startup" atmosphere. • Demonstrated knowledge of analyzing next generation sequencing data. Experience with single cell genomics data like single cell RNA-seq, single cell ATAC-seq or single cell DNA methylation data is a plus. • Prior experience in statistics and programming languages such as Python, Perl, and R. Proficiency with relational databases and programming languages used in the development of web-based MIS systems is a plus plus (e.g. SQL Server, HTML). SPECIAL CONDITIONS • Job offer is contingent upon satisfactory clearance based on Background Check results. • Occasional holidays, weekends, evenings, nights, and on-call may be required. Pay Transparency Act Annual Full Pay Range: $59,700 - $124,300 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $28.59 - $59.53 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 Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral). 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. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html 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

Bioinformatics Analyst III Job No: 526592... Work Type: Staff Full-Time Location: Main Campus (Gainesville, FL) Categories: Biology/Life Science, Computer Science, Information Technology, Artificial Intelligence, Engineering, Physical/Mathematical Sciences Department: 29240101 - MD-HOBI-GENERAL Job Description Classification Title: Bioinformatics Analyst III Job Description: The Biomedical Informatics Program (BMI), hosted within the Department of Health Outcomes and Biomedical Informatics (HOBI) and closely affiliated with the Clinical and Translational Science Institute (CTSI), engages in a wide variety of informatics research and service across the University of Florida. Service initiatives include building out the informatics infrastructure for the OneFlorida + Clinical Research Network; genomics infrastructure; and cohort construction. This position will serve as a Bioinformatics Analyst III and will work under the guidance of Dr. Rui Yin and Dr. Jiang Bian, in collaboration with senior programmers, to fulfill the research and service missions of the BMI program, especially for bioinformatics projects. In particular, the incumbent will lead the software development of a genomics data pooling infrastructure and other related projects. Strong expertise in bioinformatics software development is necessary to fulfill the duties of this position. Duties to Include: Participate in the creation of a novel pipeline that meets the needs of the genomics data pooling infrastructure and other related projects by working with an interdisciplinary team of bioinformaticists, software developers, information quality experts, statisticians, and researchers during software development. Handle data queries from researchers and apply software applications to pre-process EHR and genomics data and extract data elements required by researchers. Assist with the development of technical project proposals to build new software or deploy and update existing software used in data cleanup, ETL, and related tasks. Participate in the design, implementation, and reporting of research and evaluation studies. Contributions to scientific reports, conference papers, and journal articles are expected, including documentation of the method, presentation of data, and participation in the interpretation of results. Assist with the workflow of incoming data requests and other processes around the management, transformation, and analysis of data. Recommend and assist with the development of workflow and process changes to enhance the efficiency of tracking and delivery. Participate and contribute to the communication of requests and results delivery. Assist with the management of data governance around data sets. Expected Salary: $70,000 to $95,000 Minimum Requirements: A master's degree in appropriate area of specialization and two years of experience or a bachelor's degree and four years of experience. Preferred Qualifications: • Familiarity with Whole Genome Sequencing and Whole Exome Sequencing data, as well as workflows and pipelines. • Familiarity with computing platforms/tools, including but not limited to AWS, AWS Omics, Nextflow, Snakemake, etc. • Experience in machine learning modeling or GWAS analysis. Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. The University of Florida is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. This is a time limited position. This requisition has been reposted. Previous applicants are still under consideration and need not apply. Application must be submitted by 11:55 p.m. (ET) of the posting end date Health Assessment Required: No Applications Close: 22 Sep 2023 To apply, visit https://explore.jobs.ufl.edu/en-us/job/526592/bioinformatics-analyst-iii The University is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Copyright ©2022 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-3eba6c4ec4f73a4e872a0c27925521fb

SOPHiA GENETICS combines deep expertise in life sciences with mathematical capabilities in data computing to create the future of AI-assisted Medicine. We are looking for BIOINFORMATICIAN to join our team! As part of the team, you would analyze our clients’ data on a daily basis, helping them to move new genetic tests to routine. Furthermore, you would be involved in the development of new... custom gene panels and pipelines. You must have strong organization and communication skills and be the champion in our drive for continuous process improvement. SOPHiA GENETICS (NASDAQ: SOPH) combines Data-Driven Medicine, Genomics and Radiomics, to ensure that the data used to help patients today will also benefit the patients of tomorrow. SOPHiA DDM™ Platform in supporting multimodal data-driven medicine. WHAT CAN WE OFFER YOU You will have the opportunity to recommend and drive new initiatives and support our fast-growing organization. We are looking for a motivated, enthusiastic and flexible person with the capacity to work independently on projects to completion. Therefore, if you’re a dynamic, self-motivated professional who believes nothing is impossible, love to learn and be curious, we’d love to have you as part of our team! Requirements Responsibilities in the team include: • Analyze client data • Quality control of the data and comparison of the results with reference data • Generate high quality presentations and reports for the clients • Design new custom gene panels • Help with the release cycle: prepare and test new products (pipelines, new gene panels, etc.) for release, set up and run non-regression tests, test new developments and tools • Provide bioIT related support to clients and internal teams REQUIREMENTS • We are looking for a motivated, enthusiastic and flexible person with the capacity to work independently on projects to completion. You should demonstrate excellence in the following areas: • Master's Degree, but a PhD is preferred • Experience in NGS data analysis • Experience in high volume data visualization • Strong communication and presentation skills • Strong data analysis experience using R/Bioconductor • Strong Linux bash scripting experience • Experience in Python would be an advantage • Experience in targeted or amplicon sequencing would be an advantage Benefits • Outstanding Medical (with Telemedicine), Dental, and Vision Plans with 90% employer contributions! • Life and AD&D company provided • Company paid short and long term disability insurance • Supplemental employee insurance options available for Accident, Critical Illness, Hospital and Legal • Career opportunities in a fast-growing company with a worldwide reputation • International and multicultural environment • Flexible hours, HYBRID work schedules available • Work with a dynamic and collaborative Global team • Exchanges and collaborations with experts within the company (AI, genomics, medicine, etc.) • Passionate colleagues working to make a real different in patient care. Help us change the world! Location: Boston, MA. Office-based/HYBRID 3/5 days- Preference to US East Coast candidates. Start Date: ASAP Contract type : Permanent, Full Time Application process If you think you fit this position, please send a CV and a cover letter. Please note that incomplete applications will not be considered. After an initial screening process, candidates will be invited for remote interviews. Selected candidates will then be invited for personal interviews

The Molecular Profiling and Data Science Department at Regeneron is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative work environment. You will lead algorithmic development and bioinformatic efforts that help the Regeneron Genetic Medicines group create next generation therapies in gene editing, gene suppression, gene... expression, and gene insertion. In this role, you will work on projects that use cutting-edge technologies like AAVs, shRNAs, siRNAs, LNPs, and CRISPR-Cas9 to treat or cure diseases. You will design synthetic cell type-specific promoters and analyze RNA-seq and other omics data to characterize our therapies. Our department consists of computational scientists with backgrounds ranging from genomics to machine learning, as well as wet-lab NGS technology developers with plenty of sequencing capacity. Beyond our group, you will collaborate closely with scientists in Regeneron Genetic Medicines and other departments to create genetic therapies in a wide range of disease areas, including hemophilia, lysosomal storage disorders, metabolic diseases, and hearing loss, that directly impact the lives of patients. As a Sr. Scientist, Bioinformatics, a day might include the following: • Developing algorithms using concepts in transcriptional regulation, synthetic biology, and machine learning to design new promoters in AAV payloads for cell type- and tissue-targeted expression. • Leading computational biology efforts in genetic medicines by analyzing RNA-seq data to understand drug mechanism, efficacy, biodistribution, and immunological response. • Building tools to characterize RNA transcripts using long-read sequencing. • Discovering new nucleic acid modifying enzymes by mining metagenomic datasets. • Collaborating extensively with wet-lab biologists to design the best experiments and NGS readouts. • Contributing to regulatory submissions. • Publishing and presenting novel findings in patents, conferences, and peer-reviewed journals. This job might be for you if you: • Want to contribute to the advancement and design of next generation genetic therapies and help shape computational tools used by a rapidly growing part of the company. • Have a strong computational background and enjoy creating new methods. • Like working at the interface between computation and experiments. • Like diving deep into data, including analyzing raw NGS reads. • Have a curious mindset, pay strong attention to detail, and challenge conventional wisdom. • Can effectively communicate with collaborators from various backgrounds and value teamwork. • Want opportunities to showcase and publish your work. To be considered for this role, you must have a PhD degree in Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Computer Science, Applied Mathematics, Bioengineering, or related quantitative fields. You must also have experience conducting bioinformatics analysis at either the gene or sequence level, have experience with developing new computational methods, and have a strong background (3+ years) in R and/or Python. Previous experience or familiarity with NGS technologies and experimental wet-lab molecular biology is highly desirable. Familiarity with a Linux environment, shell scripting, and high-performance computing clusters is a plus. Experience with machine learning on biological problems is also highly valued. #LI-hybrid #RGM Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need. The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $103,600.00 - $169,000.00

Details Open Date 08/21/2023... Requisition Number PRN36142B Job Title Bioinformatics Data Analyst I Working Title Bioinformatics Data Analyst I Job Grade F FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area President Department 02274 - HCI Aik Choon Tan Resrch Prog Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 47600 to 75000 Close Date Open Until Filled Yes Job Summary The Translational Bioinformatics Lab (PI: Dr. AC Tan) and the Population Health Sciences Program (PI: Dr. Tracy Onega) at the Huntsman Cancer Institute ( HCI ), University of Utah, seek a Bioinformatics Data Analyst to join its staff. This individual will assist researchers with data wrangling, data analysis, and visualization from various population-based databases. In addition, this position will have the opportunity to develop and implement new data analysis and data management tools for population-based cancer research. Drs. Tan and Onega will mentor the individual, and s/he will interact with multi-disciplinary research teams working on delivering a cancer-free frontier at HCI ! Data science analyst experience can be substituted for genomics requirement Huntsman Cancer Institute ( HCI ) is an Equal Opportunity Employer committed to hiring individuals whose merit and experience promote a diverse, inclusive, anti-racist workforce and culture. Each employee has a unique background and life experience. We believe that maximizing diversity fuels the success of our organization. In your cover letter or during your interview, we invite you to share how your background, beliefs, and experience will prepare you to be effective in working in an environment that values diversity and is committed to equity, diversity, and inclusion. Learn more about HCI’s commitments at huntsmancancer.org/edi and/or contact HCI’s Office of Equity, Diversity, and Inclusion. Responsibilities Essential Functions 1. Data analysis and visualization from databases. 2. Create, maintain, and document computer software for data analysis and management. 3. Assist researchers with retrieving data from multiple databases. 4. Provide data management and database for specific projects. 5.Resourceful in developing and implementing computer programs for specific projects. This position has no responsibility for providing care to patients. Disclaimer This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It 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 Data science analyst experience can be substituted for genomics requirement Type Benefited Staff Special Instructions Summary Additional Information The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action: Director/ Title IX Coordinator Office of Equal Opportunity and Affirmative Action ( OEO /AA) 383 University Street, Level 1 OEO Suite Salt Lake City, UT 84112 801-581-8365 oeo@utah.edu Online reports may be submitted at oeo.utah.edu For more information: https://www.utah.edu/nondiscrimination/ To inquire about this posting, email: employment@utah.edu (%20employment@utah.edu) or call 801-581-2300. The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South

M. D. Anderson Cancer Center's research community provide vast opportunities for computational biologist to work closely with clinicians/biologists on various projects with scientific or clinical focuses. M. D. Anderson's Big Data analytic programs also has accumulated patients' clinical and genomic data to be mined to drive translational research and ultimately improve patient outcomes. The... department of Genomic Medicine has openings for computationally trained scientists with desires of applying cutting edge analytical tools to analyze large scale genomic data and gaining in depth knowledge of cancers. The data scientists are expected to be actively involved in research projects and are also encouraged to initiate independent studies mining the existing data. The data scientists are required to take a lead in data analysis, participate and reach out to biologists/clinicians to discuss ideas and hypotheses, present scientific findings in project meetings and conferences, and publish in scientific journals. The Department of Genomic Medicine has ongoing collaborations with researchers across departments and institutions. The data scientists will serve as computational experts throughout proposal/grant application and execution of experiments, lead the efforts of data analysis and interpretation, and actively participant in report and manuscript writing. The ideal candidate will have experience in genomic data analysis and scientific software development and relevant research experience pertaining to platform. Working experience in mining genomic and clinical data. Applicants with experience in pattern recognition/machine learning, mathematical/statistical modeling, network analysis and experience in data integration, data mining, NGS data analysis (mutations, structural variations, and expression). Proficiency in at least one programming language such as R, C/C++, Perl, Python, or JAVA. JOB SPECIFIC COMPETENCIES: • Actively involved throughout projects by leading data analysis/interpretation, communicating with project leaders about significant scientific findings and clinical applications of the results, preparing manuscripts and reports for publications and professional meetings, and providing expert advises on experimental design, data collections strategies, and statistical analysis. • Conduct independent researches by mining large scale data to produce results of clinical and scientific significance. Communicate with biologists and clinicians to formulate questions/ hypotheses that can be answered/tested by querying data repositories. • Develop analytical and visualization tools to enhance user access and utilizations of MDACC's data repository. Implement computational tools to systematically explore and mine internally or publicly available multi-dimensional data using advanced analytical tools to derive meaningful insights of the data, discuss the results with biologists/clinicians to provide guidance in their studies, formulate hypothesis of scientific and clinical relevance, and design and conduct further studies to confirm/validate the findings. • Identify issues of practical or theoretical importance and then conduct independent studies to derive solutions through innovative mathematical/computational approaches. Publish the results in scientific journals and present the results in professional conferences. • Develop software modules following sound software engineering practices to be easily added to an automated production data processing/analysis pipeline or to provide visualization of data stored in internal databases. • Integrate genomic data generated in house and those available publicly, checking the quality and integrity of the data, and import them into internal data portal for query and data mining. • Evaluate existing computational algorithms and develop new algorithms that can be used internally by researchers within MDACC or in larger research communities. COMPETENCIES With Inclusion, you understand that your ideas and contributions are valued. You promote the same for others. You address your own biases while promoting diversity and equity. (Competencies: Cultural Humility, Cultural Awareness, Cultural Intelligence) With Drive, you see that you can serve as a leader whether you have a formal leadership role or not. You tackle problems, move past setbacks and hardships, and don't lose sight of your goals. (Competencies: Self-Confidence, Analytical Thinking, Innovative Thinking, Technical Expertise) You demonstrate Professionalism by setting the example for others and consistently modeling MD Anderson's values and service standards. You communicate effectively in a variety of ways. (Competencies: Inspire Trust, Oral Communication, Written Communication) Through Emotional Intelligence, you maintain awareness of your own emotions and the emotions of those around you. Use nonverbal cues and feelings to engage others in an inclusive and responsive way. (Competencies: Active Listening, Teaming, Self-Reflection) Having Coachability means you are engaged in relentless learning. You constantly ask questions and stay curious. You understand that the organization constantly evolves, and you should as well. (Competencies: Develop Oneself, Adaptability) WORKING CONDITIONS: Frequency Please Select -- PHYSICAL DEMANDS Frequency Weight Standing Walking Sitting Reaching Lifting Pushing/Pulling Occasionally 11-33% Occasionally 11-33% Frequent 34-66% Occasionally 11-33% Occasionally 11-33% Occasionally 11-33% -- -- -- -- 20-50 lbs. 20-50 lbs. COGNITIVE DEMANDS Analytical Ability Attention to detail Interpersonal Skills Oral Communication Written Communication EDUCATION: Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Preferred: Master's or PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. EXPERIENCE: Required: Three years experience in scientific software development/analysis. With Master's degree, one years experience required. With PhD, no experience required. Preferred: Experience in genomic data analysis and scientific software development and relevant research experience pertaining to platform. Working experience in mining genomic and clinical data. Applicants with experience in pattern recognition/machine learning, mathematical/statistical modeling, network analysis and experience in data integration, data mining, NGS data analysis (mutations, structural variations, and expression). Proficiency in at least one programming language such as R, C/C++, Perl, Python, or JAVA. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Additional Information • Requisition ID: 161377 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 84,500 • Midpoint Salary: US Dollar (USD) 105,500 • Maximum Salary : US Dollar (USD) 126,500 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Hybrid Onsite/Remote • Pivotal Position: Yes • Referral Bonus Available?: Yes • Relocation Assistance Available?: Yes • Science Jobs: Yes #LI-Hybrid

St. Jude Children's Research Hospital is developing a comprehensive effort to study the immune system in cancer patients, with particular applications aimed at developing and refining immunotherapy approaches. For this effort, bioinformatics is critical, and we are actively searching for a highly motivated scientist who will serve as an informatic bridge between the Departments of Immunology and... Bone Marrow Transplant & Cellular Therapy. In addition to spanning these two departments, you will be part of the Thomas Lab and will report to the Director of Immunoinformatics. Working alongside other bioinformaticians, clinicians, and staff scientists, you will have numerous opportunities to be involved in cutting-edge immunological research with direct translational applications, including analysis of near real-time data obtained from ongoing clinical trials. This work will in part entail the development, evaluation, and utilization of novel analytical tools related to bulk and single-cell expression and epigenetic analyses, including processes related to data processing, statistical analysis, network analysis, and data visualization; as such, this is a prime opportunity to develop expertise in the burgeoning field of single-cell bioinformatics broadly and in areas of cancer immunotherapy specifically. Experience in R is required, and previous experience analyzing single-cell gene expression data is highly desirable but not required. Experience with general-purpose programming languages (C/C++, JavaScript, or PHP) preferred but not required. Background in molecular biology, cell biology, immunology, and/or cancer biology, wetlab environment, and familiarity with next-generation sequence analysis are highly preferred. Ability to effectively multitask and communicate clearly are both integral to success in this position. Responsibilities • Participates in the Department of Immunology’s independent research under the direction of the Director of Immunoinformatics, assisting with the analysis and interpretation of data. • Leads the development and establishment of standard analytical workflows for assigned projects. • Contributes to the preparation and submission of manuscripts for publication as needed, including drafting and editing methods, results, and discussion of the research. • Participates in collaborative research with interdepartmental investigators in basic and clinical research, particularly within the realms of cancer immunotherapy studies. • Formulates analytical plans that use the best approach to address challenging data analysis questions. • Maintains scientific knowledge base in immunology and bioinformatics topics by reading published literature, giving presentations, and attending relevant talks or conferences. • Gives public presentations to collaborators and team members to report scientific discoveries and educate researchers about relevant methods, software or scientific results. • Develops novel analytical procedures for unmet needs in the field of immunology as determined by the Director of Immunoinformatics. Contributes ideas to automate or improve existing analysis methods. Implements the improvement or works with others to do so. • Assists with establishing and documenting protocols or best practices for common research tasks. • Learns new bioinformatics techniques (e.g., programming, Next-generation sequencing, and statistics) to meet the needs of interdepartmental investigators. • Assists investigators in finding and using available bioinformatics software to address research needs. • Maintains regular and predictable attendance. • Performs other duties as assigned to meet the goals and objectives of the department and institution. Senior Bioinformatics Research Scientist Minimum Education • 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 7+ 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 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Other Information 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

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