Bioinformatics Jobs

• 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: $75,000 - $90,000 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 and molecular variation in the context of human aging, with a focus on brain tissue. This position will work with the Menon lab and other inter-disciplinary teams as part of consortium-wide projects to incorporate existing and new experimental data on the trajectory of human aging and neurological disease. The candidate will develop, execute, and maintain bioinformatics pipelines to process and analyze genetic, imaging, transcriptomic (bulk and single-nucleus RNA-seq), epigenetic, and proteomic data from mouse and human brains. In addition, the candidate will incorporate analysis results into a parse-able format for non-bioinformatics experts. The ideal candidate should have a quantitative background (Computer Science, Statistics, Biostatistics, Computational Biology, Applied Mathematics, Computational Neuroscience, Genomics, or Bioinformatics), and extensive experience in standard workflows for analysis of large-scale molecular and imaging data, specifically to answer questions about aging associated changes in human and model system data. In-depth knowledge of at least one flavor of data (genetics, transcriptomics, epigenetics, or proteomics) is required, as well as prior experience with image analysis. Successful applicants will receive on-the-job training for other data modalities in the Menon lab. The candidate should have 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. The successful candidate will be part of an integrated team of neurologists, data scientists, and cell biologists who come together to perform team-based projects. The position therefore offers a stimulating and multi-disciplinary environment and the opportunity to work with a variety of researchers at Columbia University and beyond. There will be many opportunities to contribute to multiple ongoing national and international collaborative projects. Responsibilities • Responsible for assembling, executing, and developing the latest bioinformatics pipelines for primary analysis of ‘omics data in the context of aging. • Responsible for importing, developing, and implementing image analysis pipelines for tissue-level analysis of cell signatures • Contribute to QA/QC of published and newly generated data sets. • Develop analysis workflows to answer targeted questions about changes in molecular profiles in healthy aging or disease in human. • Display initiative and independence in providing rapid results to various investigators generating experimental data. • Communicate results to non-bioinformatics experts and develop novel analysis approaches in response to new questions or insight. • Prepare summary reports of data and results for dissemination to colleagues and collaborators. • 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 three years of related experience. Preferred Qualifications • Master’s Degree or PhD in bioinformatics, computational biology, applied mathematics, computational neuroscience, computer science, statistics, biostatistics, physics, or related area. Other Requirements • Demonstrated programming skills • Demonstrated experience with building pipelines for at least one “omics” data modality (genetics, transcriptomics, epigenetics, proteomics). • Strong organizational skills in managing and analyzing 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

Are you trained in bioinformatics and passionate about deciphering the complexities of dementia? We're seeking a smart and dedicated scientist who can help us gain a broader understanding of neurodegeneration through computational analyses. In return, we offer a strong environment for learning advanced genetic technology, viral manipulation, molecular biology, and behavioral analyses needed to... design and study mouse models of human disease. Why consider us? • Great training environment - highly collaborative team, strong research infrastructure • Supportive advisor, focused on your professional development • Opportunity to rapidly impact a range of ongoing research studies • Fully-funded position, with the potential to learn grant writing skills • Highly diverse city with cultures and food from around the globe • Low cost of living relative to other major research centers like Boston and San Francisco Help us to expand the range of techniques we can leverage to understand the causes of degenerative disease and design treatments to intervene. Learn more about our team and our ongoing projects at: https://www.bcm.edu/research/labs-and-centers/faculty-labs/joanna-jankowsky-lab The laboratory is located at the main Baylor College of Medicine campus which enjoys a vibrant and collegial scientific environment. BCM itself is located in Houston's Texas Medical Center, a 1,000-acre complex of over 50 independent institutions within easy access. Houston is the fourth largest city in the US and is home to a diverse international population. The city offers great restaurants, a warm climate, and affordable housing. Job Duties • Designs and conducts smart, impactful experiments to analyze transcriptional consequences of targeted genetic manipulations in mouse models of disease. • Leverages expanding single cell and bulk RNA brain transcriptional datasets for comparison with mouse findings. • Carefully collects, exhaustively analyzes, and thoughtfully interprets experimental results to conclusively test hypotheses, identify limitations, and define next steps. • Plunders the literature for new ideas, methods, and resources. • Communicates the rationale, design, outcome, and impact of our work to others in the field in clear prose and visually effective figures Minimum Qualifications • MD or Ph.D. in Basic Science, Health Science, or a related field. • No experience required. Preferred Qualifications • Strong background in bioinformatics • Strong understanding of molecular biology • Familiarity with neurodegenerative disease biology and mouse models for these disorders • Be self-motivated, detail-oriented, and independent, but also able to collaborate effectively. Additional Information: The appointment is for an initial term of one year, with the expectation of continued support pending successful progress. The position comes with competitive salary and benefits, commensurate with experience. The start date is flexible, and applications will be reviewed on a rolling basis until the position is filled. Application Documents: CV including contact information for 3 references Applicant Instructions With your application, please submit a resume/CV, including contact information for 3 references. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer

Embark on a groundbreaking journey by applying for a postdoctoral position within the Data Science and Informatics Core for Cancer Research (DSICCR: https://sbmi.uth.edu/dsiccr/) at the University of Texas Health Science Center at Houston (UTHealth). We are eager to welcome highly motivated individuals to join the dynamic and innovative research environment in Dr. W. Jim Zheng's group... (https://sbmi.uth.edu/faculty-and-staff/jim-zheng.htm) at the McWilliams School of Biomedical Informatics (MSBMI). RESPONSIBILITIES: As a successful candidate, you will apply your bioinformatics/biostatistics skills to play a pivotal role in study design, data collection, analysis pipeline development, data analysis, algorithm development, results interpretation, manuscript writing and proposal development. Your responsibilities will extend to collaborative research with esteemed faculty at UTHealth and other institutions, fostering a dynamic and interdisciplinary approach to AI and data science. DSICCR is renowned for its productive track record in data science, informatics, and AI (https://sbmi.uth.edu/dsiccr/outcomes). Past postdoctoral fellows have made significant contributions to high-impact publications and played key roles in winning teams in national and international competitions, such as BioCreative and LitCoin NLP Challenge. Notable publications include works in JAMA (Zhu and Zheng, 320(11):1103-1104, 2018) and Nature Communications (Yuan, et al., 12, 2031, doi:10.1038/s41467-021-22200-5, 2021). As a member of our research community, you will benefit from comprehensive training in AI research and gain hands-on experience with DSICCR's advanced computing infrastructure (https://sbmi.uth.edu/dsiccr/resources). This includes access to a Hadoop cluster, a large memory server, state-of-the-art Nvidia GPU servers (including the world's first Nvidia DGX H100 server), and an High-Performance Computing (HPC) cluster at the Texas Advanced Computing Center. Located in the heart of the Texas Medical Center in Houston, the fourth largest city in the United States, UTHealth offers a cosmopolitan setting for your academic and professional growth. Join us in our commitment to advancing the frontier of AI and data science applied to basic research and clinical practice. We look forward to welcoming an enthusiastic and dedicated postdoctoral fellow to contribute to our collaborative and innovative research environment. APPOINTMENTS/BENEFITS: This is a full-time, 12-month appointment, renewable annually with comprehensive benefits. Anticipated postdoctoral training duration is 2-3 years with multiple fellowship support opportunities. H1-B sponsorship can be provided as needed. QUALIFICATIONS: The individual should possess a Ph.D. in bioinformatics, biostatistics, or computational biology with a strong training and track record in biostatistics/statistics. Essential qualifications include experience in analyzing genomic data, particularly single-cell sequencing data, and a proven record of published research in bioinformatics. Excellent teamwork, communication skills, and the ability to develop and maintain high-quality collaborations are required. HOW TO APPLY: Note that all application materials must be submitted to wenjin.j.zheng@uth.tmc.edu.The candidate should provide a current curriculum vitae and a cover letter describing qualifications and career goals as part of the application process. SALARY: Comply with NIH postdoc salary standards based on the qualifications and experience. UTHealth is an EEO/AA employer. UTHealth does not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or any other basis prohibited by law. EOE/M/D/F/V. This is a security sensitive position and thereby subject to Texas Education Code § 51.215. A background check will be required for the final candidate

RBW has partnered up with an exciting, cutting edge, gene editing diagnostics company who are looking to bring on a Senior Bioinformatics Consultant. You will play a pivotal role in developing and implementing novel bioinformatics algorithms and pipelines to analyze complex genetic data. The ideal candidate will have strong expertise in genomics research and pipeline development/enhancement for... large scale next-generation RNA / DNA sequencing and microbial metagenomics data analysis. Please submit your resume below if you would like more information

Overview The Scientist, Bioinformatics, will be conducting data analysis for Next Generation Sequencing (NGS) experiments to develop and characterize tumor-infiltrating lymphocytes. The successful candidate will also collaborate with wet lab scientists to design the NGS experiments and interpret the results... Essential Functions and Responsibilities • Conduct Bioinformatics analyses of bulk and single-cell RNA and TCR sequencing data related to the study of preclinical and clinical TIL products. • Aid biological and immunological interpretation of sequencing data; summarize and present results with clear conclusions. • Guide wet lab scientists on the design of next-generation sequencing experiments. • Develop and implement data analysis pipelines for Next Generation Sequencing and other genomics applications, from raw instrument output to interpretable and publishable results. These include but are not limited to sequence alignment, variant calling differential expression analysis, and single-cell clustering. • Contribute to publications at international conferences and in peer-reviewed journals. • Maintain expertise in state-of-the-art NGS applications and Bioinformatics methods. • Expected to be available and communicative during scheduled work hours. • Must adhere to Iovance Biotherapeutics’ core values, policies, procedures, and business ethics. • Perform miscellaneous duties as assigned. Required Education, Skills, and Knowledge • Ph.D. degree in Bioinformatics, Biology, Immunology, Bioengineering or relevant fields with 0-3 years of experience. • Fluent in Shell, R, and Python programming. Experience working on a Linux server either locally or on the cloud. • Extensive hands-on experience in analyzing next-generation sequencing data on applications including but not limited to single-cell DNA, RNA, and TCR sequencing, whole transcriptome and whole exome sequencing, targeted DNA and RNA sequencing, etc. • Excellent problem-solving and collaboration skills. Preferred Education, Skills, and Knowledge • Knowledge in Immunology, especially T cell biology, and cancer biology. The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made upon request to enable individuals to perform essential functions. Please contact Human Resources to request an accommodation. #LI-remote

The research intern will be training and collaborating with Dr. Su's Lab within the Department of Bioinformatics and Computational Biology. The research intern will be exposed to a variety of projects that are conducted in Dr. Su's Lab, ranging from projects on performing alignment for NGS data such as RNA-Seq, DNA-Seq, ChIP-Seq, and ATAC-Seq data; implementation of R scripts to perform... clustering analysis for scRNA-Seq data; or writing scientific manuscripts for publications. LEARNING OBJECTIVES Learn how to use high-performance computing cluster for bioinformatics data analysis. Specifically, write HPC job submission scripts for different bioinformatics data analyses, and perform alignment for NGS data such as RNA-Seq, DNA-Seq, ChIP-Seq, and ATAC-Seq data by using HPC cluster. Implement R scripts to perform clustering analysis for scRNA-Seq data. Improve scientific writing skills. Improve verbal communication skills. ELIGIBILITY REQUIREMENTS Bachelor degree in Computer or related field. ADDITIONAL APPLICATION INFORMATION This is an unpaid research opportunity

Grade - UE06 £31,396 to £36,024 per annum (A revised salary range for this grade of £32,982 to £38,025 is planned to take effect from Spring 2024) College of Medicine and Veterinary Medicine - Deanery of Biomedical Sciences... Full Time - 35 Hours Per Week Contract type - Fixed Term - 24 months The Opportunity : The Mason / Chan group is recruiting a research associate for a project focussed on identifying the molecular mechanisms underlying pathological phenotypes in PAX6 haploinsufficiency patients. The group uses stem cell models, including organoids, to study embryonic human brain development and Autism Spectrum Disorders. You will contribute to this project via supporting and conducting bioinformatic analyses of data including single-cell transcriptomic data. In addition, the candidate will work closely with members of the lab on related informatics projects. Aside from this main project, there will be opportunities for collaboration within CDBS as well as across Edinburgh Neuroscience. You are encouraged to apply if you have expertise in bioinformatics. It is also desirable for you to have interest in, and some knowledge of neurodevelopmental biology and neuroscience but not essential. This post is available for 24 months full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. Your skills and attributes for success : • Experience in single-cell transcriptomics analysis • Background in neurodevelopmental biology • Proficiency in R and Python • Excellent oral and written communication skills Last updated : 2024-03-02

Summary The KLemon Lab at Baylor College of Medicine is hiring a bioinformatics analyst l. Our long-term goal is to identify bacterial strains and compounds that will be leads for new approaches to prevent and treat infections due to nasal bacterial pathobionts and respiratory viruses. To achieve this, we are elucidating the molecular mechanisms of interspecies interactions in the human nasal... microbiome. The bioinformatics analyst I will perform bioinformatic analysis on human nasal microbiota data and human nasal organoids. A complete application includes a CV, examples of your work on GitHub, the names and email addresses for three references and a cover letter. Job Duties Work closely with the Bioinformatics Manager to: • Research, assess, and test third-party bioinformatic workflows and software. • Establish, test, and improve bioinformatic workflows. • Establish a custom database to storage and process data generated from Human Nasal Organoid wet-lab experiments. • Use computational analyses and biological interpretation of results to review existing data and propose improvements. • Ensure proper documentation, accuracy and storage of all data generated using bioinformatic tools. Assist microbiologists in lab to learn documentation skills and to perform basic bioinformatic analyses using workflows. • Maintain computational resources in the lab, which includes taking the lead on troubleshooting any hardware, software, or platform issues and interfacing with BCM IT and outside software/hardware vendors. • Take the lead both on producing data that generates new hypotheses and on testing hypotheses using bioinformatic analyses with a focus on bacterial phylogenomics, pangenomics, and metapangenomics to generate data for publication. Then, as needed, assist with key experiments to test hypotheses generated. • Write publication quality methods and results for both main and supplemental figures and tables that result from bioinformatic data analysis. This includes appropriate citations, which requires reading both the bioinformatic and microbiological literature related to the project. Prepare publication-quality final figures of bioinformatic data, along with figure legends. • Participate in weekly lab meetings, subgroup meetings, and meetings with PI. Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • No experience required. Preferred Qualifications • Master’s degree in a field listed above or a related field. • Three years of research experience using bioinformatics for microbiome or bacterial or bacterial-host research can substitute for preferred education experience. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. 18501

Job Purpose: Use common bioinformatics and data science methods to analyze and communicate Trace Genomics data. Design and implement improvements to the Trace Genomics bioinformatics pipeline. Use data from our metagenomics pipeline to advance the scientific understanding and application of soil biology. Work with a team to apply bioinformatics methods to soil metagenomes, help design and analyze... experiments to understand the soil microbiome, and relate findings to the data in our metagenomics database. Develop methods to ensure data compatibility across lab and pipeline improvements. Ensure reference databases are up to date, accurate and efficient. Serve as a lead resource to communicate bioinformatics-related information to teams across the company. Duties and Responsibilities • Develop and test bioinformatics methods (proportional to bioinformatics experience) • Contribute to bioinformatics infrastructure (proportional to programming experience) • Curate and maintain taxonomic and functional gene databases • Develop algorithms and applications for inferring biological knowledge from metagenomic data • Keep up to date with the latest developments in algorithms for analysis of metagenomics data and its applications in the field of agriculture/soil sciences • Perform custom analytics to investigate pipeline performance, develop new data products, or satisfy customer requests • Provide cross-functional assistance with soil science and WGS teams in experimental designs and data analysis • Collaborate with scientists and agronomists to develop new high-quality data products that solve agricultural problems • Train and inform team members on the proper application and interpretation of metagenomic data • Be the voice of expertise for metagenomic and bioinformatic tools at Trace Genomics Qualifications • Ph.D. or equivalent experience in microbiology or bioinformatics • Expertise in the analysis and interpretation of metagenome data • Working knowledge of Python (preferred) or R to read code, write functions, create plots • Experience packaging and documenting code for re-use by other team members or for deployment in production • Experience creating custom reference datasets from large publicly available resources (NCBI, uniprot, etc) • Strong skills in statistical reasoning and data visualization • Ability to communicate science to experts and non-experts • Ability to collaborate with others effectively • 2+ years work experience in non-academic research preferred • Expertise in bioinformatics, specifically microbial genomics or metagenomics preferred • Experience using tools for data analysis in Python (e.g. numpy, pandas, matplotlib, scikit-learn) or R • Familiarity with cloud computing services like AWS (preferred) or equivalent • Some/basic knowledge of relational databases Please note, there is no relocation allowance or visa sponsorship available for this position

A company is looking for a Leader for a Bioinformatics Hub Key Responsibilities... Develop and implement hub vision in collaboration with research leadership and functional bioinformatics leaders Recruit, manage and grow the bioinformatics hub team Manage data processing pipelines and quality Required Qualifications and Background: Master's or PhD in Bioinformatics, Biostatistics, Computational Biology, or similar area of study Minimum of 6-8 years of experience in computational biology, bioinformatics, and/or computer science Previous experience leading a team is preferred Pharma/Biotech experience also considered a plus Previous experience with enterprise omics visualization/query/meta-analysis capabilitiesEstimated Salary: $20 to $28 per hour based on qualifications