Bioinformatics Jobs

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

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

The Position Note: this is a 1-year contract position (with an option to extend as business dictates) with a proposed start date as soon as possible... This position is part of the Individualized Medicines Team in the Pharma Cell and Gene Therapy Group (PTC) responsible for the process development, manufacture and supply of personalized immunotherapies in collaboration with our global partners. We are seeking a highly motivated team member to serve as a Product Owner (PO) in the PTC Bioinformatics group. This role will contribute to the ongoing effort to develop a production grade computational pipeline and a GxP qualified, compliant cloud infrastructure to power neoantigen discovery and NGS based analytical workflows in support of CGT manufacturing. The team collaborates with Research (gRED), IT, Quality, and PTC Data Analytics colleagues to advance our software development efforts by using an Agile/Scrum framework. The PO is a key role in the SCRUM framework responsible for optimizing the value of work the Development Team performs and leading the team into successful delivery of the platform. The PO will own the team’s product vision, delivery strategy, backlog grooming/prioritization, release planning and ensure all pipeline stakeholders are connected to the development effort. Required Qualifications: • Master's degree in a science, engineering or mathematics related discipline • At least 2 years of relevant experience in the biotech/pharma industry • Proficiency in coding in R, python or other programming languages • Familiarity with bioinformatics workflows, preferably oncology pipelines • Experience with Agile software development and SCRUM team framework • Experience with supporting development of GxP cloud solutions • Experience with software development and software quality best practices. • Excellent communication skills and ability to thrive in a matrix team environment are required Nice to have experience: • Agile/Scrum certification • Prior experience with the drug development process • Experience with Agile CSV Methodologies • 3 or more years of relevant experience in the biotech/pharma industry This is an on-site role, no remote options are available. Relocation benefits are not offered for this position. #LI-CA1 #ptcareers #cellandgenetherapycareers# 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

Apply your expertise in bioinformatics, computational biology, genomics data science, or computer science towards this unique Bioinformatics Research Scientist opportunity in the Tsai Genome Editing Lab, focusing on advancing genome editing technologies towards treatments of pediatric patients with sickle cell disease and cancer, from bench to bedside. This is a great chance to apply skills in... programming and next-generation sequencing data analysis to important challenges that may lead to new, potentially curative, genome editing treatments for patients at St. Jude Children’s Research Hospital. Our Lab The Tsai Lab is a dynamic, collaborative, and creative group of scientists at St. Jude Children’s Research Hospital. Our research program centers on development of state-of-the-art genomic methods for understanding the global activities of genome editors, protein engineering to improve their capabilities for precise editing, and translation to autologous genome edited hematopoietic stem cell therapies. About the Job Opportunity We are seeking an outstanding and highly motivated Bioinformatics Scientist to help lead efforts to improve our fundamental understanding of CRISPR genome editors (nucleases, base editors, prime editors), engineer better editors, and apply them towards treatments of catastrophic hematological conditions such as sickle cell disease and bone marrow failures. Our wet-lab scientists generate large-scale next-generation sequencing (NGS) datasets on the genome-wide activity of editors, engineered variants with improved properties, and genome editing outcomes. We are looking for a candidate who can use their computational skills to help understand the biology of genome editors and help engineer better editors for therapeutic applications. You would have opportunities to work on exciting projects that include: · Develop new computational pipelines to analyze data from novel high-throughput methods to understand global activity of genome editors · Understand the impact of individual genetic variation on therapeutic genome editing · Develop infrastructure and framework for patient-specific genome editing and high-throughput lead discovery · Machine learning to predict the activity and specificity of CRISPR genome editors. Some examples of open-source software packages we have developed include analysis pipelines for CHANGE-seq and GUIDE-seq. The ideal candidate will be fluent in programming in a language such as Python and experienced with NGS data analyses. If you have special experience with open-source software development, high-dimensional data visualization, high-performance computing, artificial intelligence/machine learning we particularly encourage you to apply. We care deeply about the success of our trainees and this job is a unique opportunity to learn about genomics while contributing to the development of future genomic medicines at St. Jude. You would learn valuable skills that include: · Genome editing biology, next-generation sequencing analysis, high performance computing, machine learning, and others. Applicants are encouraged to provide a cover letter. Those with experience in genome editing, genomics, high-throughput sequencing, screening or automation we especially encourage you to apply! Project-dependent responsibilities could include: • Develop analysis pipelines for state-of-the-art methods for understanding CRISPR genome editors. • Develop machine learning models to predict activity and specificity of editors. • Create novel pipelines for high-throughput lead discovery with base and prime editors. • Develop broadly applicable useful methods to enable genome editing drug development. • Analyze experimental outcomes and develop high-quality summaries towards manuscripts and grant applications. • Draft manuscripts and figures for publication in high-impact journals Senior bioinformatic Research Scientist Minimum Education: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Bioinformatic Research Scientist Minimum Education: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Other Information St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude

The Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports both Discovery and Development. The GRC plays an integral role towards our goal of developing extraordinary genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in... clinical trials. Within the GRC, the Department of Bioinformatics is responsible for data analysis and provides analytical insight for both internal and external data. This involves the identification and characterization of underlying genetic, epigenetic, or genomic factors that are associated with disease diagnosis, prognosis, and response (efficacy and safety) to drug treatment, identification of new targets, and interpretation of the impact of genetic and genomic evidence from population-based studies. To attend to these challenges, we have an exciting opportunity for a Bioinformatics Engineer in the Pipeline Development team in a hybrid arrangement at AbbVie’s South San Francisco, CA location. The candidate will work closely with other engineers, computational biologists, and research project teams to develop and deploy processing and analysis pipelines that enable and accelerate novel drug discovery. The ideal candidate will be based in the South San Francisco area and have the ability to work from AbbVie’s South San Francisco location, but remote talent located in the pacific time zone will also be considered. Responsibilities: • Develop and support NGS pipelines using scientific workflow language via best practices, including unit testing, CI/CD, containerization, and code reviews. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Design, develop and maintain Application Programming Interfaces (APIs), microservices, and asynchronous queuing systems. • Create and maintain documentation for project work. • Present project contributions in a range of settings (engineering peers, stakeholder sessions, broader AbbVie science-sharing events). • Work with bioinformatic scientists as the stakeholders to assist with data-related technical issues and support their data infrastructure needs. • Communicate with research-serving IT support to resolve on-prem and cloud HPC infrastructure obstacles. Qualifications: • Bachelor’s or Master’s in Software Engineering, Computer Science, data scientist/engineering, bioinformatics, computer and electrical engineering, or related field with typically 5-7+ (BS) or 2-5+(MS) years of relevant experience. • Fluency in Python and familiarity with SQL and database technologies. • Experience with at least one scientific workflow language such as CWL, WDL, nextflow, or snakemake. • NGS bioinformatics pipeline development experience. • Demonstrated experience with container technology (Docker, Singularity/Aptainer) • AWS Data Platform experience: S3, EC2 • Familiarity with data workflow development and ETL process. • Familiarity with standard tools and data formats related to genomics resequencing projects processing and analysis. • Strong communication skills in a collaborative environment. Position will be hired based on level of experience. Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. • This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status

We are seeking a talented, highly motivated Lead-Bioinformatics Analyst to facilitate and undertake next-generation sequencing (NGS) projects in the Department of Developmental Neurobiology (DNB). In this position, you will be a shared resource for research groups in DNB. You will have the opportunity to work with top scientists in the field, to work on novel and important research projects, and... to learn and use cutting-edge technologies. The three main focus areas for this position are developing new approaches/innovation, experimental support for the labs, and training DNB team members. This is a great opportunity for establishing one’s bioinformatics career, gaining new skill sets, and making an impact in science. The successful recruit must have a deep understanding of NGS technologies, strong communication, problem-solving skills, and critical thinking. Experience in NGS data analysis is preferred. Proficiency with a programming language such as Python and/or R is preferred along with familiarity with the Linux command line. Candidates with experience in coordinating NGS research projects, teaching, and collaborations will be preferred. If you are passionate about genomics data, love science, and enjoy helping people, this is a great opportunity for you to grow and thrive. Responsibilities As a Lead-Bioinformatic Analyst, you are responsible for the independent analysis of biomedical data produced from a variety of NGS technologies, including RNA-seq, ChIP-seq, ATAC-seq, WGS/WES, and single-cell RNA-seq. You will develop bioinformatics pipelines or use contemporary, advanced software packages for conducting data analysis of complex biomedical datasets. Other responsibilities include: • Work closely with experimental researchers to understand analytical needs, provide technical consultation, design analytical approaches, generate/provide analysis results and reports, and perform requested custom analyses. • Independently design and perform statistical analysis of results and interpret results. • Manage projects and coordinate other efforts related to data analysis and infrastructure. • Design and prepare materials for training lab scientists on software usage, quality control metrics of NGS data, and data analysis techniques. • Contribute to the evaluation and recommendation of new software tools to meet the growing needs of the research community at St. Jude. Minimum Education: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience with open-source software development preferred. • Experience in the development of algorithms, statistical methods, or scientific software preferred. • Experience in next-generation sequence analysis or imaging analysis is preferred. • Experience in working with high-throughput data sets in a highly competitive environment is preferred. • Experience in working on a team project is preferred. • Cross-training in biological sciences (e.g. genomics, genetics, transcriptomic, and epigenetics) preferred • Scripting experience using a statistics package such as R, S-Plus, or SAS preferred. St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. Other Information St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude

Payroll Title: BIOINFORMATICS PROGR 1 Department: MEDICINE/ Endocrinology & Meta Hiring Pay Scale... $25.67 - $40.00 / Hour Worksite: La Jolla Appointment Type: Limited Appointment Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday-Friday #125138 Bioinformatics Programmer Filing Deadline: Mon 9/25/2023 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy This position is a contract/limited position with the possibility of extension/career conversion. UCSD Layoff from Career Appointment: Apply by 09/13/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 09/25/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION Under direct supervision, the Bioinformatics Programmer 1 will perform statistical analyses of biological data, including data from population genetics studies, to inform target identification and validation in metabolic diseases. Will utilize bioinformatics tools and software to preprocess, analyze, and interpret high-throughput sequencing data, such as genomics, transcriptomics, and proteomics data. Develop and apply computational algorithms and pipelines for the integration and visualization of diverse omics datasets. Contribute to the development and maintenance of bioinformatics pipelines and databases for data storage, retrieval, and analysis. They will stay current with emerging tools, technologies, and methodologies in the field of bioinformatics and genomics and communicate results and insights effectively to both technical and non-technical audiences through written reports, presentations, and discussions. Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. MINIMUM QUALIFICATIONS • Four (4) years of related experience, education/training, OR a Bachelor’s degree in related area. • Basic knowledge of bioinformatics methods and data structures. • Basic knowledge of applications programming and web development. • Knowledge of databases. Experience with the design, development, and maintenance of data collections used for data storage and analysis in a biomedical research environment. Ability to organize large volumes of data using creative tools, logs and databases created to use with multiple research projects. • Strong project management skills. Excellent organizational skills. Ability to manage a large volume of work efficiently and meet deadlines with frequent interruptions and changing priorities. Ability to develop, organize, and track projects and coordinate complex activities requiring a high level of accuracy and meticulous attention to detail. Strong decision making skills and ability to use independent judgment and discretion to quickly set priorities and establish new procedures. Ability to research, analyze, recommend, communicate, and implement solutions. Must be able to function successfully with minimal direction. • Basic knowledge of modern biology and applicable field of research. • Effective interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. Ability to work successfully with a diverse group of people with varying perspectives and needs. Demonstrated ability to communicate clearly and concisely, both verbally and in writing. • Basic knowledge of application and data security concepts. • Ability to interpret/coordinate research protocols and the corresponding data requirements. • Experience with scripting language such as Python and R and familiarity with Jupyter notebook. • Ability to troubleshoot and problem solve in computational work. • Ability to work with multiple computer programs such as Excel, Word, Outlook, Power Point and Access, as well as the ability to create and maintain databases. • Basic knowledge of working in a Unix environment. PREFERRED QUALIFICATIONS • Prior experience analyzing eCLIPseq, RNAseq, ATACseq, ChIPseq, GRIDseq, and single-cell RNAseqdatasets using DESeq2, rMATS, CLiPPer, MACS2, HOMER, and Gene Ontology Pathway analyses. • Basic knowledge of modern biology and applicable field of research. • Prior experience working in an environment where research relates to human diseases and developmental processes. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $53,600 - $111,600 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $25.67 - $53.45 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral). If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular... • End Date if Temporary: • Hours Per Week: 35 • Standard Work Schedule: M-F 9am - 5pm • Building: • Salary Range: $80,000 - $100,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are looking for an enthusiastic and energetic individual to join our research effort investigating genetic, molecular, and behavioral variation in brain disease, aging, and neurodegeneration. This position will be the main contact for primary bioinformatics analysis of next-generation sequencing, imaging, and proteomics data, and will work with a variety of experimental and computational investigators in the department as part of cutting-edge collaborations using the latest large-scale ‘omics technologies. Successful candidates will implement, refine, and develop analytical and machine learning methods for large-scale data sets currently being generated from human brain tissue samples. The successful candidate will be part of an integrated team of neurologists, data scientists, cellular biologists, and human immunologists who come together to perform team-based projects in the Center for Translational and Computational Neuroimmunology. The position therefore offers a stimulating and multi-disciplinary environment and the opportunity to work with a variety of researchers at Columbia University. There will be many opportunities to contribute to multiple ongoing national and international collaborative projects. Application and inquiries should be submitted by e-mail to Vilas Menon at vm2545@cumc.columbia.edu. Along with your CV, please include a cover letter describing previous work, research interests, and future goals. Please provide contact details for 2 references. Responsibilities • Implement, refine, and/or develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale transcriptomic and protein data using state-of-the-art technologies. • Contribute to QA/QC of pilot and production data sets. • Develop analysis workflows to answer targeted questions about changes in molecular profiles in aging and AD in human and model systems. • Display initiative and independence in providing rapid results to various investigators generating experimental data. • Prepare summary reports of data and results for dissemination to colleagues and collaborators. • Actively participate in the preparation of manuscripts for publication and presentations at scientific conferences. • Directly respond to inquiries regarding projects being managed. Produce subsets of data for distribution to collaborators as approved by the principal investigators. Minimum Qualifications • Requires bachelor’s degree or equivalent in education and experience, plus four years of related experience. Preferred Qualifications • Masters Degree or PhD in bioinformatics, computer science, computational biology, applied mathematics, statistics, biostatistics, physics, or related area. • Quantitative background (Computer Science, Statistics, Bio-statistics, Computational Biology, Applied Mathematics or Bioinformatics), and extensive experience in building and maintaining computational pipelines for processing sequencing and other types of data. • Good knowledge of programming languages for implementing computational algorithms on large-scale data (R, Python, Perl), as well as experience working in Linux/Unix on high-performance computing/cluster platforms. • In-depth knowledge of at least one flavor of data (genetics, transcriptomics, epigenetics, or proteomics). • Will receive on-the-job training for other data modalities under the supervision of computational investigators in the department. • Demonstrated programming skills. • Demonstrated experience with building pipelines for at least one “omics” data modality (genetics, transcriptomics, epigenetics, proteomics). • Strong organizational skills in managing large datasets. • Programming experience in R, Python, Perl, or C/C++. • Ability to work independently, display initiative within a team environment, and respond rapidly to requests. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents

POSITION RESPONSIBILITIES The Laboratory of Dr. Robert Burk is seeking a Bioinformatics Analyst to work with a group of scientists studying human papillomavirus, microbiome and cervix neoplasia. The ideal candidate will have a background in epidemiology, computer science and/or bioinformatics. He/She will be responsible for processing next-gen sequencing data, maintaining data and pipelines... performing epidemiological analyses including multivariate logistic regression. • Utilize existing pipelines to process and analyze high-throughput sequencing data, including amplicon sequencing, bisulfite sequencing, metagenomics, viral integration. • Manage, organize all bioinformatics sequencing data in the lab. Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic data • Construct phylogenic trees • The individual will be responsible for downloading large Fastq, BAM and/or Fasta files for analyses. Must have experience using existing software tools and modifying R scripts. Should be able to generate figures, and perform epidemiological analyses. The lab routinely uses barcoding primers for multiplex NGS runs which require demultiplexing and analyses. • The individual will work with and report directly to Dr. Robert D. Burk, Principal Investigator of the lab. He will also work with other lab members generating NG sequencing data. Albert Einstein College of Medicine offers its professional and administrative staff the opportunity to arrange hybrid-remote work or flexible-work schedules, with supervisory approval. The incumbent for this position is eligible for such consideration, and applicants may inquire with the hiring manager or human resources. QUALIFICATIONS • Bachelors degree and at least one year experience with a strong focus on epidemiology, computational biology and some experience in bioinformatics. An interest or experience in evolution and/or microbiology is desirable. • The candidate must have expertise in R or Python. • Experience in microbiome bioinformatic processing preferred • Speaks clearly and expresses self well in one-on-one conversations and groups; • Develops effective written communications and uses them appropriately; • Interacts and proactively shares information with internal and external contacts where appropriate; • Develops effective relationships with peers, students and employees; • Assumes responsibility to ensure issues/concerns will be addressed and monitors them through conclusion; • Identifies, defines and analyzes information and situations before recommending a course of action; • Effectively manages own time and resources; • Seeks to apply technology and innovation to improve efficiency and solve problems. Minimum Salary Range USD $54,000.00/Yr. Maximum Salary Range USD $63,000.00/Yr

The Columbia Precision Medicine Initiative at Columbia University Irving Medical Center is seeking a highly motivated Bioinformatic and Computational Scientist to lead the innovation, design, and development of the CPMI production genomics compute infrastructure. The incumbent will apply the latest hardware, software can cloud technologies to innovate solutions in genomics data structuring... compute workflows, and large-scale data manipulation. This role requires interaction with a multi-disciplinary team from LIMS, IT, Clinical, and Compliance operations across CUIMC. The candidate will work closely with internal and external partners to lead a team in the research, design, and development of systems addressing the data management and analysis of major genetics and genomics projects. Responsibilities • Be involved in several projects including efforts such as genomic sequence analyses, optimization of analysis approaches, and cloud-based and on-prem computation, and is a point person in developing CUIMC precision medicine pipelines. • Develop and support multiple research projects by delivering bioinformatics services for biomedical data from large datasets. • Lead a variety of projects and gain exposure to many productive areas of research. • Train and guide a team of Bioinformatic and computational scientists. • Support the storage, backup, access, and analysis of large volumes of sequencing data (>100,000 sequenced exomes and genomes). • Work closely with CUIMC central IT to migrate data and analysis to a cloud service provider as well as maintain existing software on-premises. • Develop, implement, and maintain ATAV, the primary discovery tool used for population-scale genomic analyses. • Develop, implement, and maintain a pipeline of analysis of raw genetic sequencing data, perform quality control checks, align sample data to the reference genome, and produce variants called files (VCFs), and joint-genotyped VCF files. • Manage databases, conduct statistical and genomic analysis. • Assist staff and collaborators with data access, analysis, and interpretation. • Develop methods of visualizing, exploring, and mining genomics data. • Maintain and oversee software development, code documentation, bug tracking, feature development, and audit trails. • Integrate software designs into larger ecosystems and develop best practices for implementation and test procedures in collaboration with IT. • Assist IT with troubleshooting tasks, as well as the design and process of SOPs where needed. • Collaborate and consult with researchers to plan and design scalable software solutions to meet research-related computational needs. • Demonstrate strong programming and statistical proficiency with proven expertise in genomics analyses and advanced knowledge of computational infrastructure. • Analyze data for grant and manuscript submissions. • Assist with publications. • Ensure compliance with data security and IRB rules. • Prepare an Annual Report. • Other related duties as assigned. Minimum Qualifications • Bachelor's degree or equivalent in education and experience; M.S. or PhD. in Bioinformatics, Computer Sciences, Statistics, or related discipline strongly preferred. • Minimum of 6+ years of software engineering experience including at least 4+ years of developing DNA sequencing statistical analysis tools or architecting/implementing large data-driven software tools used in high-volume operations. Preferred Qualifications • Proven expertise in building/implementing populations tools widely used by the genetics community. • Demonstrated experience with next-generation sequencing analysis. • Extensive knowledge of Java, C++, or other OO-based programming languages, as well as Perl, Python, R, Bash, or other functional scripting languages. • Experience designing relational database schemas and query optimization. • Good organization and communication skills, with demonstrated ability to productively work as a member of a team. Strong verbal and written communication skills are required. Ability to work in a fast-paced, collaborative team environment. Other Requirements • Successful completion of applicable compliance and systems training requirements