Bioinformatics Jobs

Job Summary The Bioinformatics department has an opening for a Data Scientist I. This role will employ a highly skilled data scientist with expertise in developing machine learning models to curate and analyze large, multi-modal datasets generated by the SimCenter at UT Southwestern Medical School. Experience with using machine learning for analyses of video-based data sets is a plus. They will... work closely with our software and AI engineers to ensure that the models are integrated into actionable user interfaces. Job Duties • Analyzes and develops formalisms, algorithms and software for applications in biomedical research. • Develops and maintains software tools and infrastructure for resolving specific problems. • Assists in the development, testing and revision of programs in a team with diverse bioinformatics expertise. • Performs other duties as assigned. Responsibilities: • Clean, organize, and analyze large, multi-model data sets • Build, train, test, and evaluate machine learning models on our proprietary data sets • Understand and implement the latest video-based machine learning models • Continuously improve the performance of the models by analyzing results and experimenting with different techniques • Collaboratively ensure the models are integrated into the user interfaces. Experience and Education M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field OR B.S. with demonstrated experience in broadly defined areas of bioinformatics. 0 - 2 years post-graduation experience in data analysis and/or scientific software development. Technical Skills/Specifications: • Strong experience with Python and related data science libraries such as Pandas, Numpy, Scikit-learn. • Strong experience with machine learning frameworks such as Tensorflow or PyTorch. • Experience with video analysis with machine learning, specifically with CNNs and other deep learning models. • Experience with data visualization tools such as Matplotlib or Seaborn. • Strong understanding of data science and machine learning principles and best practices. • Experience with cloud platforms such as AWS or GCP. • Strong debugging and problem-solving skills. Why UT Southwestern? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. At UT Southwestern, we invest in you with opportunities for career growth and development that align with your future goals and help to provide security for you and your family. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more that are all available on the day you start work. UT Southwestern is honored to be a Veteran Friendly work environment that is home to approximately 800 veterans. We value your integrity, dedication, and the commitment you’ve made to our country. We’re proud to support your next mission. Ranked by Forbes as one of the Top 10 National Employers, we invite you to be a part of the UT Southwestern team where you’ll discover teamwork, professionalism, and consistent opportunities for growth. This position is security-sensitive and subject to Texas Education Code §51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion

EPM Scientific are currently searching for a senior bioinformatics scientist for a leading biotech company in the Massachusetts area to join a broader team of scientist on a number of exciting projects. Responsibilities... • Analysing, developing and integrating visualisation of data • Collaborate with the team to develop machine learning models interrogating high-throughput transcriptomics data to identify novel matters for new RNA targets. • Contribute to the further enhancement of the Data Science platform and infrastructure • Identify biomarkers and disease indications for novel RNA-targeting compounds. Requirements • Ph.D. degree in bioinformatics, computational biology, computer science, data science or related field • +3 years post-grad experience • Strong programming experience with Python and R and comfortable using data packages such as pandas, numpy, etc. • Strong experience with machine learning frameworks such as Tensorflow is preferred. • Knowledge in the area of cancer and biology is preferred. • Proficient in managing multiple projects simultaneously. +16462334607

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 Genetics 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 Genetics 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

Position Overview The Staff Bioinformatics Scientist is largely self-driven, working in collaboration with others on one or more projects which are extremely complex in scope. The Staff Bioinformatics Scientist is responsible for successfully leading the planning and execution of projects. This position involves independently making detailed observations, analyzing data that is extremely complex... and technical, critically analyzing the data and providing supporting scientific rationale as needed, as well as providing insights into the future direction of the project for successful outcomes. The Staff Bioinformatics Scientist helps develop the timeline and plan for new assignments/projects. As a technical expert with deep knowledge and thorough understanding of the science, the Staff Bioinformatics Scientist provides technical guidance and mentorship to junior scientists in the Research and Development group. Working in a team setting, the Staff Bioinformatics Scientist will be involved in Research and Development projects serving as a technical lead and subject matter expert in exploring, researching, and testing new technologies or providing and developing ideas and concepts to improve or develop processes that add value or establish innovative methods and processes for product development towards development of diagnostic assay products. Essential Duties Include, but are not limited to, the following: • Conduct comprehensive analyses within several product or technology areas and identify problems and discrepancies. • Independently plan and develop algorithms. • Independently develop, plan, and analyze results of experiments within several product or technology areas within defined timelines; effectively present and clearly communicate findings at data meetings, group meetings and project team meetings to inform and enable project progression. • Critically analyze research/experimental data, interpret the results, and provide insights into the next steps and the direction of the project for successful outcomes. • Contribute towards the development of timeline and plan for new assignments/study/projects. • Provide technical guidance to junior scientists in project teams. • Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment. • Determine, utilize, and apply methods or technologies effectively and provide ideas for new techniques, when appropriate. • Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures. • Provide scientific rationale when analyzing and interpreting data and provide technical input and participate in decisions affecting project planning and experimental design. • Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication. • Contribute to the intellectual property portfolio by implementing innovative and creative ideas to solve problems or improve on current methods. • Generate, document, and communicate development plans for critical aspects of a project. • Develop research plans and experimental outlines to write experimental protocols and perform laboratory experiments. • Prepare detailed technical procedures, protocols, and reports. • Evaluate impact of nonconforming data to product or process. • Identify and address trends in study data. • Prepare and approve written reports. • Lead identification of areas for process improvements. • Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements. • Prepare reports and documentation providing highly technical analysis or summarization of results, outcomes, next steps, and the future direction of the project to functional leader, technical teams/groups, or project teams. • Present results and defend scientific ideas and findings at data meetings, group meetings, project team meetings, and/or departmental meetings; critically evaluate scientific data for its merits; lead meetings and help provide directions as a subject matter expert. • Demonstrate success in technical proficiency/knowledge, scientific creativity and rigor, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas. • Work on problems of extremely complex scope in which analysis of data requires an evaluation of intangible variables. • Exercise independent judgment in developing methods, techniques, and evaluation criteria for obtaining solutions. • Work on assignments individually and with project team members to meet department and project objectives. • Work within project timeframes with successful outcomes on multiple projects and key responsibilities. • Act as bioinformatics leader for one or more projects that are complex in scope. • Act as subject matter expert in core team and/or cross-functional meetings. • Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results; analyzing data and presenting findings in a professional and knowledgeable manner. • Promote an open, collaborative environment built on trust to foster positive teamwork. • Plan, recommend, and lead activities that account for prioritization of organizational and department goals. • Train, guide and mentor research associates and junior level scientists. • Organize, present, and convey complex problems or issues. • Communicate clearly and frequently with all levels of the organization; including team members, project team members (core and extended), functional managers, clinical lab, and other stakeholders. • Create high quality presentations that effectively communicate and tie into a cohesive story the project status and/or experimental results. • Apply strength in performing complex analyses and the ability to present data and recommendations to a variety of audiences throughout an organization. • Apply qualitative and analytical skills with strong attention to detail. • Ability to effectively work on several varied projects at one time, with frequent changing priorities. • Demonstrate excellent analytical, problem solving and decision-making skills. • Apply sound technical knowledge and ability gained through experience and/or learning. • Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action). • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. • Support and comply with the company's Quality Management System policies and procedures. • Maintain regular and reliable attendance. • Ability to act with an inclusion mindset and model these behaviors for the organization. • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day. • Ability to work on a computer and phone simultaneously. • Ability to travel 10% of working time away from work location, may include overnight/weekend travel. Minimum Qualifications • Ph.D. in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a Ph.D.; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of Ph.D. • 8+ years of industry or academia experience in bioinformatics. • 6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. • Demonstrated experience in developing statistical and quantitative methods. • Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. • Demonstrated expertise in product/assay research, design, or development. • Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint. • Demonstrated ability to perform the Essential Duties of the position with or without accommodation. Preferred Qualifications • 12+ years of industry or academia experience in bioinformatics. • 10+ years of experience in molecular diagnostics, medical device/IVD/Laboratory Developed Tests (LDT) development, biotech, or life science. • Demonstrated experience in developing statistical and quantitative methods. • Demonstrated thought leader in the area of bioinformatics, genomics, and/or next-generation sequencing (NGS). • Demonstrated leadership in the area of product/assay research, design, or development. • Experience developing and applying advanced linear and non-linear statistical learning methods on complex datasets, including but not limited to supervised and unsupervised machine techniques. • Familiarity with applying AI techniques such as deep learning, neural networks, or similar on high dimensional data. • Previous experience in developing algorithms in Molecular Diagnostics. • Previous experience in liquid biopsy NGS. • Demonstrated familiarity with software development lifecycle. • Demonstrated familiarity with Dev/Ops concept. • Experience with Project management tools such as SmartSheet or MS Projects. • Previous industry experience in product development or research. • Familiar with the design control process of IVD assay development. • Background containing a substantial amount of bioinformatics work including troubleshooting. • Previous experience working in a molecular diagnostics/clinical laboratory setting. #LI-AN1 Salary Range: $161,000.00 - $258,000.00 The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. In addition, this position is bonus eligible, and is eligible to receive company stock upon hire as well as annually. Benefits offered include a retirement savings plan, paid vacation, holiday and personal days, paid caregiver/parental leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms, conditions, and eligibility requirements of the applicable plans. If you need any assistance seeking a job opportunity at Exact Sciences, or if you may require a reasonable accommodation with the application process, please email hr@exactsciences.com. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state or federal law. Applicable portions of the Company's affirmative action program are available to any applicant or employee for inspection upon request. To view the Right to Work, E-Verify Employer, and Pay Transparency notices refer to this link. These notices inform you of your rights protected by the Office of Federal Contract Compliance Programs (OFCCP

We're hiring Bioinformatics Scientists with strong backgrounds in database development, management and analysis as they relate to human health and disease biomarkers, with the goal of improving disease prediction and prevention. With ICR, you'll get to... • Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams • Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling • Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets • Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses Please apply if you have: • An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying • Extensive database architecture experience (e.g. SQL, MySQL, etc) • Extensive programming experience and intimate knowledge of programming languages for statistical analysis • Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets Ideally, you'll also have: • Extensive working knowledge of various AI/machine-learning algorithms and their implementation in biological dataset analysis • A solid understanding of and appreciation for Bayesian statistics and methods • Personal interest in using statistics to evaluate disease models and aging biology And you'll need: • Ability to work in the United States without sponsorship • A can-do attitude and a friendly, easygoing personality Salary Starting base pay range: $155,000/yr - $230,000/yr Starting additional compensation range: $10,000/yr - $30,000/yr Starting position title and compensation are commensurate with experience

Summary: Under the general supervision... of the Bioinformatics Scientist Department Manager Laboratory Directors and Pathologists and in accordance with established policies and procedures the Bioinformatics Analyst performs independently in the Department of Pathology. The Bioinformatics Analyst will be responsible for analyzing clinical Next Generation Sequencing data contributing to the development of data analysis pipelines and organizing and maintaining databases. Responsibilities: Participates in the daily clinical bioinformatics workflow such as DNA-seq and RNA-seq data analysis. Analyzes the clinical data for the validation of new Next Generation Sequencing tests. Assists with preparation of validation summaries of the new Next Generation Sequencing tests. Assists in developing analysis pipelines for Next Generation Sequencing tests. Evaluates analytical aspects of emerging analysis methods. Assists in the development of databases and webtools. Other information: BASIC KNOWLEDGE: Bachelor s Degree required. Master s Degree in Bioinformatics Computational Biology Computer Science or a related field is preferred. Demonstrates strong scientific understanding of genomics. Demonstrates proficiency in programming and scripting skills (e.g Perl Python or Java). Demonstrates knowledge of DNA-seq and RNA-seq data analysis tools (e.g. BWA GATK STAR Samtools). Demonstrates knowledge of database and webtool development (e.g. SQL HTML CSS Apache). Maintains up-to-date knowledge of bioinformatics data analysis tools Familiarity with CAP/CLIA lab setting is preferred but not required. EXPERIENCE: At least two years of industry or clinical lab experience. Experience in developing computational approaches for cancer genome and/or germline analysis is highly desirable. Excellent teamwork time management and organizational skills. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: This position requires the Bioinformatics Analyst to work closely with Bioinformatics Scientists Medical Technologists Management Laboratory Directors and Pathologists. Ability to operate equipment and instruments and to perform all procedures within assigned laboratory section and interpret them for accuracy. Physical and visual dexterity necessary to conduct and interpret analysis. Visual strain is encountered while closely examining data. INDEPENDENT ACTION: Ability to work independently in a fast-paced multidisciplinary environment. Ability to multi-task and work on multiple clinical and developmental projects simultaneously. Analyst functions independently within the department s policies and procedures. Refers specific complex issues to the Bioinformatics Scientist Manager Laboratory Directors or Pathologists when clarification of policies and procedures is required. SUPERVISORY RESPONSIBILITY: None. Lifespan is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin age ethnicity sexual orientation ancestry genetics gender identity or expression disability protected veteran or marital status. Lifespan is a VEVRAA Federal Contractor. Location: Rhode Island Hospital USA:RI:Providence Work Type: Full Time Shift: Shift 1 Union: Non-Union

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 • Management and "wrangling" of genomic data. • Help manage Xenopus genomes and participate in genome annotation and gene nomenclature. • Perform gene orthology and genomic synteny analysis. • Help test newly developed code and provide feedback for developers. • Work with biocurators and developers on the technical specification of new features for the website. • Participate in data analysis and development of new ways to visualize data. • Help manage data exports for public use and data exchange with other databases (e.g., NCBI, UniProt). • 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's degree in Bioinformatics and Genomics or related degree • 0 - 2 years of work experience in a related job discipline Preferred: • MSc or PhD degree in bioinformatics and genomics. • Experience working with genomic data • Experience with a programming language such Python • Experience with standard bioinformatic tools, analyses, and file formats (Genome Browsers, JBrowse, BLAST, BLAT, multi-sequence alignments, GFF, GTF, etc). • Strong interpersonal and communication skills, including excellent written and spoken English. • Demonstrated experience documenting code, pipelines and workflows • Demonstrated ability to work in a team as well as independently, efficiently (i.e., both quickly and accurately) • Preference will be given to an applicant with: • Experience with other genomic databases • Experience in relational databases, data annotation/biocuration. • Experience in analyzing genomics data, using genome browsers and common bioinformatics tools. • Experience with Git based version control, particularly GitLab, and continuous integration. • Experience in constructing and maintaining bioinformatic pipelines. 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

The laboratory of Chongzhi Zang at the Center for Public Health Genomics, University of Virginia (UVA) is seeking to fill multiple Postdoctoral Research Associate positions in the broad field of bioinformatics and computational biology. The research program in the lab focuses on developing computational methodologies and designing integrative data science approaches to study chromatin epigenomics... and gene regulation. Current ongoing projects include: multi-omics integration-based algorithm development for transcriptional regulation prediction; model-based algorithm development for single-cell epigenomics and spatial multi-omics data analysis; statistical and computational modeling of phase-separated transcriptional condensation; global epigenetic and transcriptional regulation in T-cell immunity and various human cancer systems, etc. More information on research directions and previous publications can be found at the lab website: zanglab.org. The Zang Lab is well funded by NIH and other agencies. Each postdoctoral scientist in the lab will receive comprehensive and personalized training in research and career development, and will have extensive opportunities for independent and collaborative research. Based at the Center for Public Health Genomics in UVA’s School of Medicine, the lab has established close collaborations with multiple labs both within and outside the university, including departments of Biochemistry and Molecular Genetics, Biomedical Engineering, Statistics, UVA Cancer Center and the new founded School of Data Science, as well as several other universities and research institutes. Requirements 1.A Ph.D. or equivalent degree in any quantitative science, including but not limited to Bioinformatics, Computational Biology, Applied Mathematics, Statistics, Physics, Chemistry, Computer Science, Data Science, Engineering or a related field is required by the start date; 2.Proficient in Python (or C/C++) & R programming; 3.Excellent communication and teamwork skills; 4.Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., high-throughput sequencing data analysis, etc.); 5.At least one peer-reviewed publication written in English in the previous area of research (not necessarily related to biology) with submitted, accepted or published status at the time of application. The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans and persons with disabilities are strongly encouraged to apply. Application Process All positions are restricted and contingent on the continuation of funding. Please direct any questions or inquiries to zang@virginia.edu. The positions will remain open until filled. For further information regarding the application process, please contact: Rhiannon O'Coin at rmo2r@virginia.edu To apply please visit UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, and search for " R0040016". Complete the application and see below for documents to attach. Required Application Materials: • CV • Cover Letter • Contact information for 3 references Please note multiple documents can be submitted in the CV/Resume Box. Applications that do not contain all of the required documents will not receive full consideration. The selected candidate will be required to complete a background check at time of offer per University Policy. COVID Vaccination Requirement and Guidelines Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA. The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information

Salary: Bioinformatics Advisor - Remote Chippewa Government Solutions (CGS), a Sault Tribe Inc. (STI) Federal company, is hiring an experienced Bioinformatics Advisor to support the Influenza Division of the Center for Disease Control, in Atlanta, Georgia. The incumbent will provide computational biology support and bioinformatics services to support division laboratory data management and analysis activities. Reports to the Project Manager and Deputy Project Manager. Essential Duties and Responsibilities: • Leads the collection, studies, analysis and management of biological data· Develop experimental methodology for research and data collection· Identify, develop and implement new techniques and technologies for advanced analysis of complex biological data as related to infectious disease research surrounding the disciplines of biological sequence and structural analysis, computational genomics, evolutionary genomics, metagenomics and genome sequencing· Develop scripts and... software for bioinformatics applications (using programming languages such as PERL, BioPERL, java, Ruby, Python)· Plan and develop SQL-based database systems, including NoSQL columnar-based database systems such as Hadoop or Cassandra· May coach and provide guidance to less experienced professionals· Troubleshoots problems • Performs other job-related duties as assigned • Participate in the preparation of information for peer-reviewed journals, scientific conferences and meetings • Create and track the quality metrics for sequencing and variant detection workflows • Develop, in collaboration with other team members, standard operating procedure (SOP) documentation for analytical protocols, script development, and application configuration and development • Identify, develop, and implement software tools • Lead the designing of protocols and processes to automate data analysis as well as perform analysis of complex biological data sets • Responsible for the modeling and visualization of data Supervisory/Management Authority: Position has no supervisory or management authority. Education & Experience: BS, BA, MS or PhD in Biomedical Sciences, Data Analytics, Computer Science, Engineering, Mathematics or other health related field and approximately 8 years of experience Knowledge, Skills, & Abilities: • Previous experience with R, python, JAVA, SQL, Tableau, PERL, Hadoop and Cassandra • Experience with algorithm generation as well as pipeline generation and/or computational methods • Remain up to date on current research applications and methods in the fields of bioinformatics, genomics, metagenomics, virology, and bacteriology in order to provide support for rapid progress of automated data analyses • Proven ability to develop production-quality bioinformatics tools, workflows and applications • Excellent verbal and written communication skills and the ability to express complex technical concepts in business terms Work Environment: Work will be performed in a climate-controlled office setting on a secure government facility. About STI-Federal: Sault Tribe Incorporated (STI) is the independent business arm of the Sault Sainte Marie Tribe of Chippewa Indians. Our mission is to enhance the economy and improve the quality of life for the members of the Sault Sainte Marie Tribe of Chippewa Indians. STI-Federal, the Federal contracting division of STI supports this mission through Exceptional performance in Federal contracts. Benefits: STI offers a competitive benefits package including medical, dental, vision, and life insurance. We also offer 401(k) with 4% employer match, 11 paid Holidays and 15 days Paid Time Off annually. Compliance: Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility applicable clearance level. CGS is a E-Verify Federally Contracted Employer. To ensure compliance with an applicable preliminary nationwide injunction, which may be supplemented, modified, or vacated, depending on the course of ongoing litigation, the Federal Government will take no action to implement or enforce the COVID-19 vaccination requirement pursuant to Executive Order 14043 on Requiring Coronavirus Disease 2019 Vaccination for Federal Employees. Therefore, to the extent a federal job announcement includes the requirement that applicants must be fully vaccinated against COVID-919 pursuant to Executive Order 14043, that requirement does not currently apply. remote work

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