Bioinformatics Jobs

The Quality Control (QC) Bioinformatics Developer will be responsible for the design and development of software applications, data management, and automation solutions for *NIX systems. This position is a Monday-Friday, 8am-4:30pm schedule. We are looking for a software developer in QC (Quality Control) Virology to develop, implement, and maintain software applications, *NIX system processes... and business solutions encompassing all facets of work within the group. This developer would take on software development and support-based work as well as act as a steward for innovation. A typical day might require you to: • Develop custom software solutions by studying information needs, analyzing user requirements, assessing impact and integration with existing information flow between systems, and follow the Regeneron Software Development Lifecycle • Develop, maintain, and curate local/remote databases • Develop automated solutions to move data from lab devices to AWS Cloud Platforms and efficiently organize and store the data • Design, develop, and maintain informational dashboards • Design, build, and launch efficient and reliable data pipelines to move and process data on and across platforms including data management systems, cloud systems, laboratory devices, online caches, real-time systems, and machine learning platforms • Work with laboratory personnel to implement software to assist with new QC assays (e.g., assay analysis, assay automation, database querying, visualization tools, software development) • Readily share information with and willingly educate/train colleagues within and across departments, acting as a support resource for software and technology • Assist with, and author, documentation including all computer system validation requirements • Effectively communicate system information to a wide variety of stakeholders • Adhere to software engineering, GxP, and/or business best practices for development, debugging, version control, documentation, and code testing This role might be for you, if you: • Value efficiency, accuracy, automation, user experience, continuous improvement, and systemization of processes • Have a life-long desire for learning, curiosity, exploration, risk assessment and a willingness to jump in to address any problem • Have a collaborative, agile mindset to drive speedy, creative, and efficient use of technology and data to drive business value • Familiarity with *NIX systems and Bash scripting • Familiarity with Cloud-based solutions including AWS Platforms • Enjoy working individually and as part of a diverse team • Have excellent writing and communication skills • Identify priorities within task-lists and be able to quickly reprioritize as needed by the business • Have an understanding of user perspective and good UI practices • Have experience in designing, developing, and deploying software from end-to-end • Have strong analytic skills and a systematic approach to problem solving • Are able to translate technical knowledge to users and developers alike • Familiarity with high-level and/or scripting programming languages, such as Java and/or Python • Are comfortable working in a compliant GxP environment To be considered for a Quality Control Bioinformations Developer you must be willing and able to work Monday-Friday, 8am-4:30pm. Different levels require the following, level will be determined based on related experience. Associate QC Bioinformatics Developer requires a BS in Bioinformatics, Biology/Biochemistry, Computer Science, or degree in a related field. QC Bioinformatics Developer requires a BS in Bioinformatics, Biology/Biochemistry, Computer Science, or degree in a related field and 2 years of relevant experience. Senior Bioinformatics Developer requires a BS in Bioinformatics, Biology/Biochemistry, Computer Science, or degree in a related field and 5 years of relevant experience. 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) $71,100.00 - $116,100.00

The Sonnenburg Lab in the Department of Microbiology and Immunology is seeking a Bioinformatic Scientist with experience in analyzing metagenomic data to join our team. The Bioinformatic Scientist will provide highly specialized technical research and support, expert instruction, and consultation in bioinformatics focused on analyzing metagenomic data from gut bacterial communities; identifying... and designing novel pipelines and computational solutions to a wide range of formal and practical problems arising from the management and analysis of associated scientific data. The Bioinformatic Scientist will work in collaboration with senior research staff members, faculty, students, and postdocs. Candidates should be highly organized self-starters, comfortable with autonomy, and embrace opportunities to tackle new problems and challenges as part of a dynamic research group within the University. Duties include: • Analyze metagenomic datasets generated from gut microbiome communities. This includes mapping based analysis ofreads to bacterial genome sequences to determine the composition of a sequenced community, and de novo assembly of new microbial genomes from metagenomes. • Develop new computational pipelines for increasing the accuracy of read mapping and strain identification in microbial communities. Familiarity with Nextflow and/or other cloud-based workflow managers is an essential component of this duty. • Develop statistically sound approaches to analyzing large sets of metagenomic data (time or perturbation series) to infer strain-strain or strain-perturbation relationships. • Light system-administration of a Linux lab server, including maintaining backups, on-boarding new users, and helping troubleshoot problems as they arise. • Participate in collaborations with multiple labs engaged in the initiative; contribute technical expertise, and perform basic bioinformatics research and tool development; act as advisor/consultant in bioinformatics across the initiative. • Work with users and collaborators to answer questions about the contents of associated databases and computational pipelines/tools; provide assistance with submission of information and analysis. • Participate in presentations and demonstrations of associated databases and computational tools at conferences or other institutions. • Create a variety of reports and user demonstrations; collaborate with the users in the discovery of new knowledge; contribute to portions of published articles or presentations; draft and prepare scientific papers. • Collect and analyze information from peer-reviewed scientific journals and through direct submissions; abstract data into the required format, and verify them for accuracy. • Supervise and provide technical direction to other research staff, technicians, and/or students, as needed; schedule and assign workload; set appropriate deadlines; review work for quality and timeliness. - Other duties may also be assigned DESIRED QUALIFICATIONS: Bioinformatic Scientist with experience in analyzing metagenomic data. Candidates should be highly organized self-starters, comfortable with autonomy, and embrace opportunities to tackle new problems and challenges as part of a dynamic research group within the University. EDUCATION & EXPERIENCE (REQUIRED): Doctor of Medicine, Pharmacy, or Doctor of Philosophy in scientific field and three years of relevant experience, or combination of relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Strong analytical and computational skills, including experience with Nextflow or other workflow managers, the Linux command line interface, and Python and/or R. • Demonstrated experience with genomic/metagenomic datasets, relational databases, data integration, and statistics. • Strong written and oral English communication skills. • Computer skills, including word processing and spreadsheet applications. • Ability to understand scientific literature, experimental procedures and their limitations, and current needs of the research community. PHYSICAL REQUIREMENTS*: • Frequently perform desk based computer tasks, seated work and use light/ fine grasping. Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds. - 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: • May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. • Some work may be performed in a laboratory setting. WORK 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 $120,000.00 to $148,000.00 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs

Bioinformatics Analyst Interested in building a career in life sciences? An exciting mid-size Pharmaceutical company on the west coast is looking for talented Bioinformatics Analyst! The opportunity is a fully remote, 6 to 12 month contract-to-extend with benefits. There is an Oncology emphasis but all therapeutic backgrounds are encouraged to apply... The Bioinformatics Analyst will be responsible for: · Leading computational biology and data analysis efforts · Partnering with team members to develop robust data analysis pipelines · Communicating strategies and progress to cross-functional management · Integrating and interpreting heterogenous & noisy datasets from ongoing clinical trials The Bioinformatics Analyst should have the following qualifications: · Master's Degree in scientific discipline · Proficiency with R & Python with working knowledge of AWS · Experience with PowerBI, Tableau, or Splunk · 5+ years experience in the Life Sciences Benefits: · Opportunity for growth at an exciting Pharmaceutical company · Fully remote · Competitive pay rate If you are interested in the Bioinformatics Analyst role, then please don’t wait to apply. Please note this role is only offered on a W2 basis through EPM Scientific

Bioinformatics Analyst I/II - MoCha Job ID: req3417... Employee Type: exempt full-time Division: Clinical Research Program Facility: Frederick: Ft Detrick Location: PO Box B, Frederick, MD 21702 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION The Molecular Characterization Laboratory (MoCha) is part of Leidos Biomedical Research’s Clinical Research Directorate (CRD) at the Frederick National Laboratory for Cancer Research. The MoCha Laboratory is responsible for providing high-level research in support of the NCI-Cancer Diagnostics Program (CDP) within the Division of Cancer Treatment and Diagnosis (DCTD). MoCha’s major activities include development and application of genomic assay platforms for use in DCTD-sponsored national clinical trials and preclinical studies. KEY ROLES/RESPONSIBILITIES The Bioinformatics Analyst serves as the technical authority on computational issues related to the assigned projects/programs. In this role, he/she will validate and maintain genomic analysis pipelines for exome, whole genome and RNA-seq data generated from the MoCha lab and/or collaborator(s) and help provide biological interpretation of the genomic analysis to advance the understanding of cancer. This position will also be responsible for the organization and management of large genomic datasets, and the integration of data from multiple sources. He/She may supervise and collaborate with other bioinformatics team members to ensure the quality of work and the prioritization of projects to meet deadlines. This position interacts with management to define strategies for genomic data analysis including hypothesis generation and testing of predictive biomarkers of drug response. The position also interacts extensively with intramural laboratories at the NIH and extramural scientists. He/She is also responsible for generating scientific opinions, identifying potential resources or constraints, and proposing strategies for exploiting available databases and program data generated at the molecular and cellular levels. BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a Bachelor’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years of experience in lieu of degree • Foreign degrees must be evaluated for U.S. equivalency • Bioinformatics Analyst I: No experience is required beyond a Bachelor's degree • Bioinformatics Analyst II: In addition to the education requirements, a minimum of two (2) years of related computational experience in a biological/medical research laboratory environment with a strong background in bioinformatics application development is required • Both levels require that the candidate possess experience in analysis of next generation sequencing (NGS) data (including quality metrics, mapping, variant calling, quantitation of gene expression and biological interpretation) • Familiarity with NGS workflow language (e.g., Snakemake, Nextflow, etc.) • Experience in analysis of large genomic data sets including integration with data available from public or private sources • Hands-on experience in data processing and analyzing sequencing and expression and other array data including quality and biological assessment • Experience in a computer cluster environment • Proficiency in bash shell scripting and in one or more of the programming languages such as R, C/C++, PYTHON, PERL, JAVA, SQL • Strong analytical and troubleshooting skills and experience or interest in working in a multidisciplinary team setting • Experience and demonstrated success in a team-oriented environment and excellent communication skills (written and oral) • This position is essential to the success of MoCha and on-site presence in Frederick, MD and occasionally in Shady Grove (Rockville, MD) is required • Must be able to obtainin a Public Trust Clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Experience in algorithm development for NGS data analysis • Familiarity with publicly available Bioinformatics tools, algorithms and databases • In-depth understanding of molecular biology techniques, oncology and clinical research • Experience in data integration, database construction, application development and visualization Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork

Company Description GeneGenieDx is a biotech company founded in 2020 in the bay area, California. Our mission is to discover novel biomarkers and translate them into better clinical diagnostic products. Our current focus is to develop cutting-edge bioinformatics and machine learning algorithms to enable the discovery of diagnostic biomarkers and translate them into clinical products... Job Description GeneGenieDx is seeking a self-motivated and experienced bioinformatician to intern with us and to further the development of the platform. The intern will work with senior research scientists and software engineers, making an impact on application-driven evaluation and development of the platform. The intern will have the opportunity to engage in ideation and execution iterations in a fast-growing startup environment. Outstanding candidates will have the opportunity to join the team as full-time employees. Responsibilities: • Analyze and interpret large biological datasets using statistical and machine learning techniques to identify patterns, trends, and insights • Collaborate with cross-functional teams, including bioinformaticians, and software engineers, to identify and develop solutions for complex data analysis problems • Conduct analysis on biomarker discovery and clinical diagnostics data Qualifications • Graduate student in Bioinformatics, Data Science, Computer Science or related field • Experience in programming in Python/R and visualization in data analysis projects • Experience with one or more of machine learning/ deep learning frameworks • Experience with genomic data analysis and interpretation • Excellent analytical and problem-solving skills, with the ability to think creatively and propose innovative solutions • Strong communication and collaboration skills, with the ability to work effectively in a team environment Additional Information If you meet the above qualifications and are passionate about applying AI to solve complex bioinformatics challenges, we encourage you to apply for this exciting opportunity to intern with our team

The Bioinformatics Engineer will have the opportunity to support cutting edge clinical oncology diagnostic pipelines supporting high quality patient care as well as drug development, clinical trials, and translational research. They will be responsible for contributing to software development and analysis in support of clinical and biopharma products within the Omniseq bioinformatics team. He/she... will collaborate with clinical, bioinformatics, software development and IT groups, and other stakeholders to develop, maintain and improve NGS analysis pipelines. Contribute to bioinformatics team efforts focused on development, testing and implementation of bioinformatics pipeline and architecture to support the initiatives of OmniSeq NGS based products (40%). • Follow pipeline development under company-wide QA infrastructure (20%). • Test, debug, and maintain existing systems (15%) • Gather requirements and understand the end user’s needs (5%). • Develop software to implement the gathered requirements (10%) • Create documentation for requirements and design (5%) • Provide operational support for bioinformatics scientists (5%) Minimum Required: • Proficiency in NGS Pipelines • Proficiency Python, R, Unix shell script, and version control systems(git) • Familiarity with data storage and management systems, such as SQL and data warehouses • Experience with Docker containerization • Experience with scientific workflow language, such as Airflow, Nextflow • AWS Data Platform experience is preferred • Software engineering experience in a regulated environment is preferred but not required • Familiarity with CLIA, and HIPAA is preferred but not required • Team oriented with excellent written and verbal communication skills Years of experience in the job discipline Requires a B.S. Degree in related field w/2+ years of experience or a M.S. Degree in related field w/0-2 years of experience Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply. For more information about how we collect and store your personal data, please see our Privacy Statement

Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers. About the Department of Pathology... Comprised of extraordinary faculty and staff, our mission is to improve the diagnosis, treatment and basic understanding of human disease. We accomplish this through our clinical services, research, and training the future leaders in pathology and related fields. A major focus of clinical research in the Department continues to be the correlation of patient outcome and treatment response with the surgical pathologic diagnosis of human cancers. Everything we do is to provide the highest quality of pathology diagnostic services to the patients for whom we passionately care. For more information about the department visit http://pathology.stanford.edu/ As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy. About GREGoR Stanford Site : GREGoR Stanford Site (GSS), is one of 6 sites in the National Institutes of Health (NIH)’s Genomics Research to Elucidate the Genetics of Rare disease (GREGoR) Consortium. The GSS (https://gregor.stanford.edu/) mission is to provide a platform for functional genomics research and validation to improve diagnosis in Mendelian disease through integrated analysis of multi-omics data. GSS is led by co-PIs Dr. Stephen Montgomery (Department of Pathology), Dr. Matthew Wheeler (Division of Cardiovascular Medicine) and Dr. Jon Bernstein (Division of Medical Genetics). At GSS, research participants who remain undiagnosed after exome sequencing will undergo short read and long read genome sequencing, transcriptome sequencing, methylation assays, metabolomics and/or lipidomics assays. State-of-the art computational algorithms and new methods will be applied and developed to prioritize the variants and genes. The data will be analyzed in a secure and scalable manner using a HIPAA compliant cloud platform like AnVIL and Google Cloud Platform (GCP). Novel causal variants and genes will be validated through state-of-the-art targeted approaches including massively parallel reporter assays, induced-pluripotent stem cell assays and CRISPR engineered cellular and mouse models. About the Position: We are seeking a highly talented and motivated Bioinformatics Engineer to support our GSS pipeline and data analysis team. Your role will focus on the development of pipelines and tools for comprehensive analysis of large amounts of molecular data generated by the GSS, with special emphasis on genomics, transcriptomics, and metabolomics datasets. You will also establish and support cloud infrastructure for storage and computation of the multi-omics data. Your ability to understand biological experiments, strong experience in the analysis of large-scale biological datasets, proficiency with programming languages and experience in high-performance computing environments or cloud will be a key resource in enabling high-quality data to flow through our systems to enable diagnosis and discovery of new disease-gene associations. A complete application will include CV and cover letter. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Communicate with government officials, grant agencies and industry representatives. • - Other duties may also be assigned Desired Qualifications: • Bachelor’s degree in Mathematics, Statistics, Computer Science or related field. • Research experience in computational biology desired; specifically in analysis of high-throughput, multiplexed and multi-omics data. Experience in designing data analysis pipelines is an advantage. • Proficiency in Python and/or R and Linux bash scripting. • The candidate should be able to work independently, be highly motivated, well organized, adaptable and work well within a highly interdisciplinary and international team. Good communication and interpersonal skills as well as fluent English are essential, as well as proficient computer skills (Mac and PC). Education & Experience (Required): Bachelor's degree or a 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. • Strong writing and analytical skills. • Ability to prioritize workload. Physical Requirements*: • Sitting in place at the 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. Work Standards (form JDL): • 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 $80,000 to $94,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable job

The Reitz Lab and Alzheimer’s Disease Research Center (ADRC) Genetics Core at the Taub Institute for Research on the Aging Brain at Columbia University are seeking Postdoctoral Research Scientists interested in analysis of high-throughput multi-dimensional -omics data to study neurodegeneration and diseases of the central nervous system, with emphasis on Alzheimer’s disease and related dementias... The ultimate goal is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutical targets. The Taub Institute for Research on the Aging Brain at Columbia University is a world-leader in research of neurodegenerative diseases and the nucleus of a dynamic, translational, multidisciplinary endeavor bringing together Columbia University researchers and clinicians to uncover the causes of Alzheimer's, Parkinson's and other age-related brain diseases. It is renowned for its large-scale research cohorts of neurodegenerative disorders, which include various population and family-based large-scale datasets of various ancestries with deep phenotyping including clinical, neuroimaging, and fluid biomarker phenotypes and genomic and multi-omic assessment. We are seeking highly motivated researchers with strong analytical skills to join our effort and generate novel insights of neurodegeneration using these unique multi-omic datasets, while working in a highly dynamic multidisciplinary and collaborative environment. Dr. Reitz, Director of the Genetics Core and Associate Director of the Taub Institute for Research on the Aging Brain, is well funded with several grants from the National Institute of Ageing. Responsibilities: - Analyses of GWAS, whole-exome and whole genome sequencing data of neurodegenerative disorders including blood, cerebrospinal fluid (CSF) and neuroimaging biomarkers - Analysis of other omics data (transcriptomics, proteomics, metabolomics etc) - Composition of scientific articles Requirements: The successful applicant will hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human genomic or other omics datasets is expected. The candidate would have solid skills in at least one programming language (R, python or perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity with interrogating publicly available resources will be highly beneficial

Job Summary Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. Works collaboratively with Principal Investigator (“PI”) to determine the most... suitable computational methods and tools to analyze large-scale biological data sets. Prepare reports for presentation or publication. Responsible for assisting PI in meeting the system needs for multiple research projects and/or labs. Experience and Education • Master’s degree in Computer Science or a related field of biological science. • Bachelor’s degree in Computer Science or a related field of biological science, and two (2) years related research experience in bioinformatics and computational biology. Job Duties • Manage research laboratory computer hardware and software programming and maintenance. Ensure existing systems meet the continuing needs of the lab and/or recommend and test new systems as necessary. • Perform complex data analysis related to specialized research methodologies and results as assigned by the PI. • Develop and/or modify software to support new and ongoing research projects. • Resolve hardware, software, and network issues in support of the lab. • Develop and maintain complex databases to support new and ongoing research projects. • Train laboratory staff in the use of pertinent research systems. • May specialize in bioinformatics, software development, network administration, or hardware/software maintenance. • Perform other duties as assigned. Knowledge, Skills, & Abilities • Work requires knowledge of computer technology (hardware, software, and programming) and basic knowledge of molecular biology or genetics or related biological science field. • Work requires ability to communicate directly with software/database developers. • Work requires ability to communicate and work with academic faculty, design creative solutions, both short and long run for software development needs in a bio and medical informatics functional area. • Work requires excellent planning and organizational skills. • Work requires excellent interpersonal and leadership skills. • Work requires ability to prioritize work and meet deadlines. • Work requires telephone and personal contact with all levels of internal and external personnel and organizations. • Work requires minimal physical exertion. 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

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