Bioinformatics Jobs

The primary purpose of the Research Bioinformatician position is to carry out data preparation responsibilities related to cancer clinical trials, develop skilled statistical programs, perform statistical analysis associated with clinical data and prepare written reports to investigators. In addition, this position prepares statistical considerations for basic trial designs or grants and performs... biostatistical reviews of protocols. KEY FUNCTION: • Statistical Consulting and Collaboration: • Compiles, analyzes and reports statistical data for various projects including, but not limited to manual and computer-aided data abstraction and evaluation, clinical trials, computerized imaging and bioinformatics. • Prepares statistical considerations for basic trial designs and carries out uncomplicated statistical analyses independently, but completes statistical responsibilities for more complex projects with supervision. • Assists faculty in the development of new statistical methodology for measurement and analysis of data. • Applies advanced statistical methods, simulation models, and skilled statistical programming as needed. • Assesses relevant literature as well as existing data, evaluates the quality of data used in reports and assists with preparation and distribution of data for committee and scientific meetings. • Attends project meetings with collaborators with or without supervisor as directed by supervisor. • May present findings at relevant meetings both inside and outside of the institution as requested. • Protocol Review: • Participates in the protocol review process jointly with supervisor. • Statistical Reporting: • Prepares written reports to investigators jointly with supervisor. • May present findings at relevant meetings both inside and outside of the institution as requested. • Other duties as assigned. EDUCATION: Required: Master's degree in Biostatistics, Statistics, Bioinformatics, Mathematics or related field. Preferred: PhD in Biostatistics, Statistics, Bioinformatics, Mathematics or related field. EXPERIENCE: Required: Two years experience with mainframe and/or PC databases, document processing and statistical software such as SAS and S-Plus. With preferred degree, no required experience. 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: 147658 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 81,000 • Midpoint Salary: US Dollar (USD) 101,500 • Maximum Salary : US Dollar (USD) 122,000 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Remote (within Texas only) • Pivotal Position: Yes • Science Jobs: Yes

Overview The Institute for Genomic Medicine (IGM) at Nationwide Children’s Hospital is creating a future that integrates genomics into the everyday practice of pediatrics. Led by a team of internationally-renowned genomic medicine scientists, IGM is housed in the campus’ newest research building, spanning ~25,000 square feet of laboratory and office space in a highly interactive setting. We’re... looking for a candidate to join our highly collaborative Translational Bioinformatics team, within the IGM Computational Genomics Group. This dynamic team of bioinformatics analysts and scientists is advancing our understanding of genetic diseases through the development of novel bioinformatics methods and by providing researchers and clinicians with accurate and timely analysis of complex genomic data. As a Bioinformatics Analyst you will be providing support for the Genomic Services Laboratory, assisting in multiple aspects of next-generation sequencing data analysis, including the analysis of genomic, transcriptomic and epigenetic data. You will work closely with researchers and clinicians and your work will lead to advancements in both basic and translational research in pediatric cancer, rare genetic disease, birth defects, behavioral health, virology and infectious disease. Why Nationwide Children's Hospital? The moment you walk through our doors, you feel it. When you meet our patient families, you believe it. And when you talk with anyone who works here, you want to be part of it. Welcome to Nationwide Children’s Hospital, Where Passion Meets Purpose. Here, Diversity, Equity and Inclusion are integrated into our core values and practices. We are passionate about building, sustaining and evolving an inclusive and equitable environment. We are seeking individuals who live these values and want to share their experiences and efforts in support of our collective mission. We’re 14,000 strong. And it takes every one of us to improve the lives of the kids we care for, and the kids around the world we’ll never meet. Kids who live healthier, fuller lives because of the knowledge we share. We know it takes a Collaborative Culture to deliver on our promise to provide the very best, innovative care and to foster new discoveries, made possible by the most groundbreaking research. Anywhere. Ask anyone with a Nationwide Children’s badge what they do for a living. They’ll tell you it’s More Than a Job. It’s a calling. It’s a chance to use and grow your talent to make an impact that truly matters. Because here, we exist simply to help children everywhere. Nationwide Children’s Hospital. A Place to Be Proud. Responsibilities • Support a wide variety of research and new laboratory sequencing methods development via data analysis, statistical analysis, and experimental design. • Gather requirements, mange data, and run standardized genomic data analysis pipelines. • Perform quality assessment, monitor QC metrics and notify laboratory of issues. • Deliver and explain analysis results to investigators, prepare reports and figures for presentations and publications as needed. • Assist bioinformatics scientists in research, software development and testing of new bioinformatics methods. • Maintain awareness of current literature and evaluate community-developed bioinformatics tools. Qualifications • Bachelor’s degree in biology, molecular genetics, computer science, bioinformatics or related field. Advanced degree in bioinformatics, computational biology or biostatistics a plus. • Experience in a Linux/Unix environment and familiarity with scripting and process automation (Python/Perl, shell) a plus. • Interest in genomics and bioinformatics, and willingness to learn concepts and terminology from these fields as needed. • Must be a team player with the ability to effectively collaborate in a dynamic, cross-functional matrix environment. • Excellent verbal and written communication skills will be essential. • Ability to manage multiple projects in a fast-paced environment with changing priorities. • You must demonstrate a high level of attention to detail as you will be providing data analysis that will shape the direction of research projects, impact grant funding, be used in presentations and publication. The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individual so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under his/her supervision. EOE M/F/Disability/Vet

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and... volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. The scientific data and informatics group in Lilly Genetic Medicines is looking for a create and energetic computational scientist to participate in wide range of activities. The scientist will collaborate with a growing team comprised of chemists, biologist, bioinformaticians, geneticists and data scientists aimed at developing and enhancing in-silico capabilities for new modalities. This position presents an opportunity to support various stages of drug development from target identification to clinical candidate selection. Responsibilities: • Develop new computational/data science methodologies to improve the preparation, retrieval, analysis, and summarization of scientific data • Partner with business/research teams to identify/scope and execute data analytics efforts to answer scientific questions. • Maintain a strong communication and be fully engaged with scientists to ensure scientific delivery. • Support ongoing drug discovery projects through data analysis, tool and model development • Support the development & evaluation of new modalities from a target evaluation perspective. Minimal Qualifications: • Minimum PhD. in bioinformatics, chemoinformatics, computer sciences, or related field with minor in a biology/medical field. Additional skills: • Proficient in one or more scripting languages: Python, C++, PHP • Hands on experience in large scale data analysis in cheminformatics, biophysics, proteomics, genomics • Basic knowledge in genomes and transcriptomes. • A solid understanding of data science methodologies and application of these in solving drug discovery problems • A proven track record of development and independent implementation of widely used scientific applications/scripts/data sources • Global understanding of the drug discovery process and the different data resources available • Knowledge in web development is a plus • Excellent oral and written communication skills and the ability to effectively communicate across different cultures in the global scientific community • Ability to prioritize multiple activities and manage ambiguity. Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response. Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups. As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law). #WeAreLilly

The Position The Position ... As a Bioinformatics Software Engineer within the Data Science and Statistical Computing group in the Research Informatics and Software Engineering department of Genentech Research, you will work with computational biologists and software engineers to develop interfaces to our core genomic cloud-based data infrastructure. You will lead the design, execution, maintenance, and support of these interfaces with a focus on sustainable software practices. You will work closely with other software engineers and architects to understand the technical details and limitations of existing solutions when applied to various scientific use cases and contribute to improvements of our architecture. Your technical, hands-on knowledge of software best practices and scientific understanding will enable our scientists, across a range of computational expertise, to discover drug targets and biomarkers from high-throughput data and ultimately deliver life saving therapies to our patients. You should be passionate about sustainable software engineering practices, the transformative potential of health-related data, and our mission to improve the lives of patients. You should have a flexible and learning mindset, be able to work in a fluid and dynamic environment, be comfortable leading globally distributed development teams and have a strong desire to pursue creative solutions to challenging problems. Responsibilities Develop R/Python clients for use by data scientists to access databases of genomic and phenotypic data. Leverage your domain expertise to collaborate with scientists and other engineers towards the production and deployment of domain-specific data products. Lead local and off-shore engineering teams to support your efforts. Effectively communicate strategies, ideas, goals and progress to departmental, cross-functional and senior management. Contribute to the broader scientific and engineering community through open-source software development. Successful applicants will meet many of the following requirements: BS or higher in bioinformatics, computer science or related fields. 5+ years experience (including any graduate school) designing and implementing data science tooling. Seniority of position will depend on experience and other factors. Demonstrated adherence to best practices in software engineering, particularly usability, version control, testing, documentation, and release management. Fluent in one or more scripting languages such as Python or R. Familiarity with common AWS cloud services is a plus. Experience working in scientific/Bioinformatics environments. In addition, You are enthusiastic about working in a scientific environment, especially one that is related to drug discovery and development. You have an obsession for providing pragmatic tools to data scientists and realize that users are like water; if your solution doesn’t work, they’ll find one anyway, and then you have two problems instead of one. You know that security has to be integrated in the early stages of the development of a solution, in order to be efficient and future-proof. You are a quick learner, are curious about new areas and the opportunity to build expertise, and courageously and creatively take initiative to see your ideas implemented. You are able to perform at a high level in a fast changing and demanding environment. You are pragmatic about the tradeoffs between features, quality, timeliness, and cost. You are interested in the bigger picture. Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of California is $127,800 - 237,300 and max of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal-opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote. If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation. Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote. If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation. Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote. If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science... to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com. This role is part of a larger computational biology and machine learning group within the Bioinformatics & Data Science team at GRAIL whose work is at the heart of the company’s products: from classifier algorithms for cancer screening to scientific software pipelines for rapid model development. You will work with a diverse group of talents including computational biologists, machine learning engineers, clinical scientists, assay scientists, and product managers. In this role, you will lead the development of inference tools and computational methods to analyze some of the largest, richest biological datasets in the world to derive biological insights and guide product innovation. Your work will result in exciting discoveries in cancer biology, impactful publications, and potential future products. Responsibilities • Design and implement computational or statistical methods to extract biological insights to promote scientific and technical innovation • Model and analyze large, complex NGS datasets using rigorous statistical and machine learning methods to generate insights • Perform end-to-end analyses that include data gathering, processing, analysis, iteration with stakeholders, and presentation / publication of study results • Interact cross-functionally with other teams including assay, software, clinical, operations, product development • Build, present and report analyses that reinforce scientific rigor and quality and which maintain GRAIL’s statistical culture Requirements • PhD in computational biology, bioinformatics, genetics, statistics, computer science, physics, engineering, mathematics, or equivalent preparation and experience • Deep experience and understanding of machine learning and statistics • Demonstrated ability to develop statistical or machine learning methods to uncover new biological insights from large genomics datasets • Proven track record of frequently cited publications, impactful computational tools and methods used by the scientific community, or presentations at international conferences • Strong knowledge in at least one programming language (e.g. R, Python, Go, C++), and proficiency in Linux environment, version control tools, and reproducible research practices • Results-oriented: superb follow-through, drive, and creative problem-solving • Clear, positive, and proactive communicator in verbal and written communications Bonus • Background in cancer genomics and cancer biology The estimated, full-time, annual base pay scale for this position is $111,000 - $136,500. Actual base pay will consider skills, experience, and location. Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time. In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings. GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL

Bioinformatics Trainer / Analyst OverviewCompetitive salaries and full benefits including, medical, dental, and vision insurance, retirement program, vacation and sick leave, onsite cafe and much more!The Oklahoma Medical Research Foundation (OMRF) is an independent, not-for-profit, biomedical research institute adjacent to the campus of the University of Oklahoma Health Sciences Center (OUHSC... located in Oklahoma City. OMRF investigators have internationally recognized expertise in Autoimmunity, Immunology, Genetics, Aging, Cardiovascular Disease, and Cancer. Investigators at OMRF enjoy close scientific interactions with OUHSC faculty and participate in OUHSC graduate programs. Additional information about OMRF can be found at the Oklahoma Medical Research Foundation web site: www.omrf.org.OMRF’s excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic. ResponsibilitiesThe Center for Biomedical Data Science is seeking a bioinformatician/data analyst to support biomedical research projects and training across the institute. The hire will implement and optimize pipelines for genomic data analysis and facilitate training of individuals in the use of a variety of software, including R and Python packages, for the analysis of datasets from a variety of genomic methods, including RNAseq, ChIPseq, and scRNA-seq. The hire will also work with senior scientists and staff to organize and implement access to training materials and software. QualificationsBachelor’s degree in Bioinformatics, Mathematics, Statistics, Biostatistics, Computer Science, MIS, or a relevant field and 3 years relevant experience/training in a biomedical research setting or combination of experience/education.Candidates must have prior hands-on experience in genomic data analysis using R and/or Python packages. Preference will be given to candidates who have demonstrated strong skills in project management, contribution to multiple projects, customer service, verbal and written communication, time management, organization, and experience with education/training.To apply, visit https://careers-omrf.icims.com/jobs/1474/bioinformatics-analyst/job?in_iframe=1OMRF’s excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.jeid-0068fc4b28d77c4cbdb7e7ce353c5023

Summary The Bioinformatics Analyst II will work in the laboratory of Dr. Pavan Reddy. The Bioinformatics Analyst II will be responsible for taking on highly interdisciplinary projects and key functions in this endeavor, including applying state-of-the-art open-source software for basic and advanced analysis of transcriptomics and proteomics data. The Bioinformatics Analyst II will also analyze... epigenetics (e.g. ChIP-seq) and transcriptomic (e.g. RNA-seq, single cell RNA seq) datasets. The Bioinformatics Analyst will work closely with the team to develop cutting-edge computational tools as the lab expands into new research areas. The Bioinformatics Analyst II should be highly motivated, well organized, manage time effectively, and can work independently as well as part of a team. The Bioinformatics Analyst II will have a background in bioinformatics, computational biology, and/or biostatistics and have experience developing scripts in languages such as Python and/or R. The Bioinformatics Analyst II must be able to work independently with programming languages, such as R, Python, and/or Linux/Unix to autonomously execute genomics pipelines. Job Duties • Manage, plan for, and analyze genomics data, building pipelines as needed • Strategic Planning and Development • Create, maintain and expand computational pipelines for ChIP-seq and RNA-seq • Interpret results by applying and/or developing appropriate statistical and/or machine learning analysis for ChIP-seq and RNA-seq • Collaborate with wet lab scientists to interpret and refine ChIP-seq and RNA-seq analysis, including statistical tests • Develop novel computational and visualization tools to further the analysis and interpretation of data • Prepare reports, charts, and graphs for presentations and publications • Maintain detailed records of computational code and processes • Manage transcriptomics and proteomics data • Search and evaluate scientific literature in support of research projects • Co-author scientific papers • Effectively interact with team members to make important contributions on big problems while ensuring a high standard of scientific rigor Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field • One years of relevant experience Preferred Qualifications • Master's degree and/or PhD in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field • Some background in molecular biology, cellular biology, biochemistry, or cancer biology • Good interpersonal and communication skills • Background in bioinformatics, computational biology, and/or biostatistics and have experience developing scripts in languages such as Python, R, and/or Linux/Unix • Self starter • Able to analyze sequencing data and datasets Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. 13317 CA; CH; SN

Description Expected Starting Salary: 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 •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. •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. •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. Qualifications EDUCATION/EXPERIENCE Required: •Bachelor's degree in a related field • 0 - 2 years of work experience in a related job discipline Preferred: Strong computer/data reporting and analytical skills 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

Why Mayo Clinic Mayo Clinic is the nation's best hospital (U.S. News & World Report, 2022-2023) and ranked #1 in more specialties than any other care provider. We have a vast array of opportunities ranging from Nursing, Clinical, to Finance, IT, Administrative, Research and Support Services to name a few. Across all locations, you’ll find career opportunities that support diversity, equity and... inclusion. At Mayo Clinic, we invest in you with opportunities for growth and development and our benefits and compensation package are highly competitive. We invite you to be a part of our team where you’ll discover a culture of teamwork, professionalism, mutual respect, and most importantly, a life-changing career! Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary. Position description Under general supervision and guidance: - The analyst/programmer is responsible for the support of moderately complex software-based systems in the supported areas. - Contributes to the design, development, implementation, and maintenance of custom software, or the installation and maintenance of purchased software systems. - Produces documentation such as systems requirements, designs, and plans as requested by the work unit leadership. - Work will be reviewed for quality, timeliness, and adequacy at predetermined milestones. Qualifications Working towards a PhD in Computer Science or related Informatics field with a GPA of 3.0 or greater. Additional qualifications Previous work experience or course work in artificial intelligence and machine learning and use of software packages for data management and statistical analysis is preferred. Experience in coding with Python, R, Java, C++ or other programming languages, along with Linux/UNIX operating systems preferred. Exemption status Non-exempt Compensation Detail This position has a predetermined rate of $24.42 or $30.00 per hour. Benefits eligible Yes Schedule Full Time Hours / Pay period 80 Schedule details Monday-Friday Weekend schedule N/A Remote Yes International Assignment No Site description Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life. Recruiter Stephanie Baird EOE As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available

Overview OMRF is an independent, not-for-profit biomedical research institute adjacent to the University of Oklahoma Health Sciences Center (OUHSC) campus in Oklahoma City. Oklahoma City offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy... OMRF’s excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic. Benefits We offer competitive salaries and comprehensive benefits including, medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, paid holidays, onsite café, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro and out of state. Learn more about our benefits here. Responsibilities The Nath laboratory is seeking a highly motivated, self-starter senior level scientist with the ability to work with optimal resources and little direct supervision to address important questions in the genetics and genomics of systemic lupus erythematosus (SLE or lupus), an autoimmune disease. Using large-scale genome wise association studies (GWAS), our lab has identified several genes/genetic variants associated with lupus susceptibility. Now we are trying to understand the specific functional effects of those lupus associated genetic variants, using cell lines from patient-derived primary immune cells or tissues. We will apply various modern techniques for studying features of three-dimensional (3D) genomic organization such as 3C, Hi-C, ChIP-Seq, RNA-seq and genome editing using CRISPR/Cas9 based techniques. Successful candidate will be proficient in a wide range of analytical methods and the use of bioinformatics/genetics software for analyzing and interpreting various types of data. Minimum Qualifications Bachelor’s degree in Bioinformatics, Biostatistics, Computer Science, Genetics, Epidemiology, computational sciences or relevant field or a combination of relevant experience and education. Must have knowledge and experience of statistical genetic methods for gene-mapping for complex traits, and computer programming skills (e.g. familiarity with UNIX-like OS, and at least one programming language) are required. Preferred Qualifications Master’s degree in Bioinformatics, Biostatistics, Computer Science, Genetics, Epidemiology, computational sciences or relevant field or Ph.D. in Biostatistics/Bioinformatics desired. The successful applicant is expected to have a strong interest in genetic epidemiology of complex traits and will have experience in both the application/implementation of established methods for genetics association studies, and in methods development