Bioinformatics Jobs

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

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity... Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like Python and/or R, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis, biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. 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. DESIRED QUALIFICATIONS: • Graduate degree that emphasizes statistics, biomedical informatics, engineering, and computer science 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 such as WDL, snakemake, and/or nextflow. • Proven track record of data and infrastructure management in an 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 (exercise science is a plus). 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 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. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $84,000 to $126,000 per annum/hour. 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. 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 audit a course. 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. 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

Description Expected Starting Salary Range: 27.60 - 35.28... SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data. REPRESENTATIVE RESPONSIBILITIES • Curate genomic and biological data from scientific literature using computer readable ontologies and defined syntax including: gene expression, genes, transgenic and mutant lines, experimental, reagents, anatomy, genotype, phenotype, GO-CAMs (gene ontology) and models of human disease. • Metadata curation of transcriptomic and epigenetic high-throughput datasets. • Participate in genome annotation and gene nomenclature. • Contribute to ontology development. • Develop strategies to improve workflow, data curation, data display and website design. • Help identify and implement efficiencies. Maintain standard operating procedures. • Foster and maintain effective communications with the research community, other resources and institutions. • Co-author reports and publications and give presentations at national and international meetings and workshops. •Informatics Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). Collects and records appropriate metadata. Ensures data are securely stored yet highly accessible to authorized users. •Data Analysis Executes pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Utilizes web-based bioinformatics tools and public/proprietary relational databases. Follows standard operating procedures. Works in collaboration with both technology and scientific teams. •Requirements Gathering Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows. Contributes to problem-solving and solution evaluation. •Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Under general supervision, assists with implementation and testing efforts. Effectively communicates the status of all efforts to necessary parties. Utilizes project and time management skills to complete projects within specific timeframes. •Publication Contributes to analyses and publications. Generates reports and figures for publications. Assists with materials for publications and scientific meetings. Works closely with biostaticians on the production of publication and presentation materials. Qualifications EDUCATION/EXPERIENCE Required: •Bachelor of Science degree (MSc or PhD degree in biocuration and/or biomedical research preferred) • 0 - 2 years of work experience in a related job discipline Preferred: • Experience with genomics, developmental or cell biology research, particularly Xenopus. • Experience with data wrangling and programming languages such Perl, Python or R. • Experience working with ontologies, biocuration and/or biological knowledgebases. • Strong interpersonal and communication skills, including excellent written and spoken English. • Robust evidence of documentation for code and workflows. • Self-motivated with excellent time management skills. • Show ability to work in a team and independently. Cincinnati Children's is proud to be an Equal Opportunity Employer that values and treasures Diversity, Equity, and Inclusion. We are committed to creating an environment of dignity and respect for all our employees, patients, and families (EEO/AA

Overview We are seeking a talented, highly motivated Lead-Bioinformatics Analyst to facilitate and undertake next-generation sequencing (NGS) projects in the Department of Developmental Neurobiology (DNB). In this position, you will be a shared resource for research groups in DNB. You will have the opportunity to work with top scientists in the field, to work on novel and important research... projects, and to learn and use cutting-edge technologies. The three main focus areas for this position are developing new approaches/innovation, experimental support for the labs, and training DNB team members. This is a great opportunity for establishing one’s bioinformatics career, gaining new skillsets, and making an impact in science. The successful recruit must have a deep understanding of NGS technologies, strong communication, problem-solving skills, and critical thinking. Experience in NGS data analysis is preferred. Proficiency with a programming language such as Python and/or R is preferred along with familiarity with the Linux command line. Candidates with experience in coordinating NGS research projects, teaching, and collaborations will be preferred. If you are passionate about genomics data, love science, and enjoy helping people, this is a great opportunity for you to grow and thrive. Apply now! Responsibilities As a Lead-Bioinformatic Analyst, you are responsible for independent analysis of biomedical data produced from a variety of NGS technologies, including RNA-seq, ChIP-seq, ATAC-seq, WGS/WES, and single cell RNA-seq. You will develop bioinformatics pipelines or use contemporary, advanced software packages for conducting data analysis of complex biomedical datasets. Other responsibilities include: • Work closely with experimental researchers to understand analytical needs, provide technical consultation, design analytical approaches, generate/provide analysis results and reports, and perform requested custom analyses. • Independently design and perform statistical analysis of results and interpret results. • Manage projects and coordinate other efforts related to data analysis and infrastructure. • Design and prepare materials for training lab scientists on software usage, quality control metrics of NGS data, and data analysis techniques. • Contribute to the evaluation and recommendation of new software tools to meet the growing needs of the research community at St. Jude. 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 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. • End user support and training experience is required. • Experience with open source software development preferred. • Experience in development of algorithms, statistical methods or scientific software preferred. • Experience in next-generation sequence analysis or imaging analysis is preferred. • Experience in working with high-throughput data sets in a highly competitive environment is preferred. • Experience in working in a team project is preferred. • Cross training in biological sciences (e.g. genomics, genetics, transcriptomics and epigenetics) preferred • Scripting experience using a statistics package such as R, S-Plus or SAS 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. 50314