Bioinformatics Jobs

The Senior Data Scientist will design, develop, curate algorithms and software tools and lead data science research projects for Professor Wenyi Wang's lab in the Department of Bioinformatics and Computational Biology. Dr. Wang's laboratory performs research aiming to gain new knowledge in the evolution of the human genome as well as the cancer genome. JOB SPECIFIC COMPETENCIES... Software tool design Designs and develops computational tools for advanced cancer research using complex mathematical modeling and data processing techniques. Protocol and data agreement management Maintains and develops research protocols and data access agreements, which may involve communication with industry partners. This also includes the corresponding database management and coordination across lab members. Pipeline and Software maintenance and benchmarking Maintains and develops bulk and single-cell DNA, RNA data processing pipelines. Maintains and further develops the lab's software packages, in collaboration with students and postdocs in the lab. Leads benchmarking studies for automation, improved accuracy and computational speed of designated software tools. Sequencing data analysis Performs single cell and bulk sequencing data analysis, including data QC and initial processing, for data generated by in-house and by large-scale consortia. Leads research projects involving data science methods. Computing management Manages software and data stored on the lab's partition on the institute's high-performance computing infrastructure. EDUCATION: Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Preferred: PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. EXPERIENCE: Required: Five years of experience in scientific software programming with a concentration in scientific computing. With Master's degree, three years experience required. With PhD, one year of experience required. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Additional Information • Requisition ID: 158445 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 97,500 • Midpoint Salary: US Dollar (USD) 122,000 • Maximum Salary : US Dollar (USD) 146,500 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Onsite • Pivotal Position: Yes • Referral Bonus Available?: Yes • Relocation Assistance Available?: Yes • Science Jobs: Yes #LI-Onsite

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

Invitae (NYSE: NVTA) is a leading medical genetics company trusted by millions of patients and their providers to deliver timely genetic information using digital technology. We aim to provide accurate and actionable answers to strengthen medical decision-making for individuals and their families. Invitae's genetics experts apply a rigorous approach to data and research, serving as the foundation... of their mission to bring comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Invitae is a biotechnology company focused on providing tools and services for clinical research applications of genomics. Our mission is to unlock the power of precision medicine in improving patient care by providing a technology platform to advance genomics and facilitate collaborative research. Invitae is seeking Bioinformaticians to join our team. This role will be centered around creating workflows, tools and algorithms to complement assay/product development. The ideal candidate should be able to perceive a problem clearly and dissect it into components which can be resolved programmatically. Having a comprehensive grasp of genomics and next generation sequencing will be key to succeeding in this role. The candidate should be independent, well organized and collaborative with clear communication skills. In addition, the ability to frequently switch between tasks will be helpful. As necessary, but not as a primary role, the candidate will assist the Clinical team in ad-hoc analysis and research required to meet regulatory requirements. You will be responsible for scaling our pipelines as we work toward our goal of providing low-cost genetic answers to billions of people. Responsibilities: • Develop high-performance bioinformatics workflows that can accurately and reliably analyze large volumes of NGS data using Nextflow in a system agnostic manner • Collaborate in a cross-disciplinary team by building, deploying, and maintaining software solutions compatible with distributed and/or containerized systems • Designing APIs using industry best practices to streamline communication between various Invitae platforms • Develop best practices for analysis of NGS data including optimization of parameters, resource utilization, and consensus approaches across various NGS applications • Mentor budding engineers/scientists by participating in code review/analysis sessions • Drive genetics technology development in a cross-disciplinary setting by critically analyzing and deriving insights from experimental data (including NGS, arrays, and novel technologies) using open source NGS tools and building custom tools when needed • Develop reproducible analysis for research and development purposes • Review, understand, and stay in compliance with Invitae HIPAA Security policies and procedures • Optionally, build and evaluate algorithms and statistical models to improve existing genetics applications within and beyond NGS technologies and create novel ones • Optionally, maintain a visible profile in the Bioinformatics community through publications, conference presentations, and collaborations Good to Have Qualifications: • MS with 8+ years experience or PhD with 5+ years experience in Bioinformatics or Computational Biology • Fluent in R/Python • Fluent in *nix, and SQL like DB technology for data analysis • Working knowledge of standard bioinformatic tools used in NGS pipelines • Working knowledge of pipeline workflow engines: Nextflow, Snakemake • Strong knowledge of Genomics and Molecular Biology • Solid understanding of Illumina sequencing technologies and metrics • Formal statistics background is a plus • Formal software development experience (preferred) • Understanding of Cloud Computing (preferred) #LI-Remote This salary range is an estimate, and the actual salary may vary based on a wide range of factors, including your skills, qualifications, experience and location. This position is eligible for benefits including but not limited to medical, dental, vision, life insurance, disability coverage, flexible paid time off, Spring Health, Carrot Fertility, participation in a 401k with company match, ESPP, and many other additional voluntary benefits. Invitae also offers generous paid leave programs so you can spend time with your new child, recover from your own illness or care for a sick family member. USA National Pay Range $110,000—$137,500 USD Please apply even if you don’t meet all of the “What you bring” requirements noted. It’s rare that someone checks every single item, it’s ok, we encourage you to apply anyways. Join us! At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. We truly believe a diverse workplace is crucial to our company's success and to better serve our diverse patients. Your input is especially valuable. We’d greatly appreciate it if you can take a quick moment to make your selection(s) below. Submissions will be anonymous. You can find a detailed explanation of our privacy practices here

We seek a talented, energetic, and collaborative bioinformatician to design bioinformatics pipelines and analyze multi-platform data as part of the development of our flagship platform A 3 D 3 a: Adaptive, AI-augmented, Drug Discovery and Development. With expertise in genomics and the design and deployment of bioinformatics tools, the Data Scientist - Bioinformatics will inform our mission to... discover novel therapies for cancer patients. Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A 3 D 3 a platform is part of the new initiative in Therapeutics Data Science and part of our ambitious Institute for Data Science in Oncology at MD Anderson. A 3 D 3 a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies. Central to this vision, the Data Scientist - Bioinformatics will innovate and deploy bioinformatics approaches to uncover hidden therapeutic opportunities in integrated patient data and will work closely with biologists, data scientists and. clinicians. JOB RESPONSIBILITIES • Carry out preparation, clean-up, and quality control of biological data, including whole exome sequencing, whole genome sequencing, and RNA sequencing from both bulk and single-cell datasets • Develop and maintain pipelines for bioinformatics and statistical analyses of aforementioned data types; activities to include handling raw data, evaluating outputs, optimizing parameters and summarizing findings • Deploy bioinformatics pipelines in high performance computing environments • Visualize data and interpret results, including implementation of approaches such as variant calling, functional annotation, gene set enrichment, and pathway annotation • Maintain knowledge of latest bioinformatic approaches and genomic technologies and implement these where appropriate • Present results at multidisciplinary project meetings • Produce output for scientific publications and co-author said publications • Prepare written reports, manuscripts, and grant applications with investigators • Work closely with the team and collaborators to discover novel therapeutic opportunities for cancer patients EXPECTED SKILLS • Deep knowledge of bioinformatics tools and their implementation as part of pipelines, particularly for whole genome sequencing, whole exome sequencing, and RNA sequencing data, in both bulk and single-cell contexts • Demonstrated experience and understanding of genomic technologies and analysis of data generated • Analyzing and interpreting outputs to identify insights and hypotheses from data • Understanding of essential statistical methodologies required for bioinformatics analyses • Addressing challenges in bioinformatics as well as mitigation strategies including bias, batch correction, etc. • Applying data clustering (e.g., t-SNE, UMAP, novel approaches) and basic machine learning techniques to complement bioinformatic analyses • Utilizing High Performance Computing to run large-scale analyses • Deploying pipelining tools (e.g., Nextflow or similar) • Unix, R, Python or other scripting/programming languages EDUCATION: Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Preferred: PhD in Natural/Medical sciences or computational biology, ideally with postdoctoral experience. EXPERIENCE: Required: Three years experience in scientific software development/analysis. With Master's degree, one years experience required. With PhD, no experience required. Preferred: One year of postdoctoral experience It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Additional Information • Requisition ID: 157054 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 84,500 • Midpoint Salary: US Dollar (USD) 105,500 • Maximum Salary : US Dollar (USD) 126,500 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Onsite • Pivotal Position: No • Referral Bonus Available?: Yes • Relocation Assistance Available?: Yes • Science Jobs: Yes #LI-Onsite

A pharmaceutical company in Illinois is currently seeking a new Bioinformatics Analyst for a promising Remote opportunity with their growing staff. Responsibilities... The Bioinformatics Analyst (Remote) will be responsible for designing and implementing bioinformatics methods as well as analysis and interpretation of various types of omics data to solve biological and clinical problems. Qualifications • 3+ years of relevant work experience • Bachelor's and/or Master's Degree in Bioinformatics, Biostatistics, and/or a related field • Bulk Gene Expression and Enrichment Analysis experience (RNA-Seq and microarray) • Adept R coding experience • Experience with differential expression Statistical Testing (limma/varianceParition dream or other R method) • Linux Job Submission experience • RNA-Seq alignment experience, STAR or other method • Great interpersonal skills • Excellent communication skills (Written and verbal) • Strong attention to detail • Highly organized Desired Skills: • Biology background in Neuroscience, Fibrosis, Immunology, and/or Oncology • Familiarity with NCBI GEO, NCBI SA, EBI ArrayExpress, and EBI ENA

Location: Remote in the United States About our Company: Foresight Diagnostics is an early-stage, venture-backed molecular diagnostics company that is developing non-invasive cancer detection technologies to improve the lives of patients worldwide. Our portfolio of cell-free DNA based liquid biopsy tests are rooted in novel and proprietary methods developed at Stanford University. Our approach... enables the earlier detection of smaller tumors, leading to more personalized and effective cancer treatment strategies for patients. We have deep expertise in molecular biology, bioinformatics, and Next Generation Sequencing (NGS), and maintain a dynamic, fast-paced work environment with significant opportunities for high-impact contribution and rapid professional growth. Foresight Diagnostics is headquartered in Aurora, Colorado. About the Role: As a Bioinformatics Scientist, you will use your scientific thinking and engineering skills to develop bioinformatics pipelines, design and analyze experiments, and optimize the operational and clinical performance of bioinformatic algorithms. You will collaborate with laboratory scientists and other bioinformatics scientists & engineers to develop, launch, and improve our clinical diagnostic products. This position will report to a Principal Bioinformatics Scientist. What You Will Bring: • Advanced user of a programming language for data analysis and algorithm development. Python preferred. Knowledgeable of one or more other languages (e.g., R, Julia, C, Rust, Java, etc.) • Able to easily and rapidly explore data using expertise in at least one graphics library (ggplot, altair, plotly, etc.) and knowledgeable of others. • You think carefully about your development tool belt and are comfortable in a shell. Bonus if experienced with containers, HPC, and/or cloud computing. • Expert in one or more statistical or numerical techniques (e.g., regression, probabilistic modeling, neural networks, mathematical programming) and experience applying them to real-world problems. • Track record of using your analyses or developed software to solve scientific problems . NGS and diagnostics experience preferred. • The drive and interest to improve and develop new skills. Awareness for scoping projects and intuition for identifying the most valuable challenges to tackle. • The ability to think critically and creatively from PhD training or equivalent amount of experience What You Will Do: • Develop methods to reliably measure and improve performance of bioinformatics pipelines using historical data, simulations, and/or models. • Improve pipeline efficiency to enable rapid research and development of algorithms • Design studies with laboratory scientists to characterize and identify assay improvements • Perform data analyses and write conclusions as reports to support R&D and product development • Write and review software with engineers to bring algorithms to a production lab • Use your expertise to identify and help plan valuable initiatives and enable team members to be more independent and productive. This role is offering a salary between $100,000 - $140,000, generous equity, along with medical, dental and vision benefits. You will be working on interesting problems with extremely high impact. We promote the professional development of our employees and will encourage upward mobility within the company for high performing employees. Foresight Diagnostics is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

We are seeking a highly motivated Bioinformatics Analyst to work on the analysis and interpretation of high-throughput genomic and clinical data, to investigate immune cell crosstalk within the tumor microenvironment. This individual will be affiliated primarily with developing software to simulate tumor-derived NGS data! Pay Rate: $40-$48/hr depending on experience... ~1 year contract with possible extension~ A successful Bioinformatics Analyst will be expected to: • Work with new genomic therapies • Develop software to simulate tumor-derived NGS data • Skilled in a modern open source language (e.g. Python, R, Julia) and associated stack of data/genomics-related libraries • High degree of comfort with data wrangling, summarizing data, and performing basic statistical analyses • Comfortable in linux command line • Familiar with NGS data (RNAseq and/or DNAseq of any kind, strong preference for individuals who have spent some time visualizing coverage tracks and/or digging around in BAM files) • Great organizational and communication skills Requirements: • M.S. degree in bioinformatics/biomed eng/biochem/chem/mol bio/computer science preferred or B.S. degree with experience. • Experience with DNA and/or RNA Seqnce Bioconductor • Experience with NGS data • Experience with Python or R • Cleanly documented, well organized software package that is available on a public github/bitbucket/gitlab and/or published through a major software repository

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

Bioinformatics Analyst III Job No: 526592... Work Type: Staff Full-Time Location: Main Campus (Gainesville, FL) Categories: Biology/Life Science, Computer Science, Information Technology, Artificial Intelligence, Engineering, Physical/Mathematical Sciences Department: 29240101 - MD-HOBI-GENERAL Job Description Classification Title: Bioinformatics Analyst III Job Description: The Biomedical Informatics Program (BMI), hosted within the Department of Health Outcomes and Biomedical Informatics (HOBI) and closely affiliated with the Clinical and Translational Science Institute (CTSI), engages in a wide variety of informatics research and service across the University of Florida. Service initiatives include building out the informatics infrastructure for the OneFlorida + Clinical Research Network; genomics infrastructure; and cohort construction. This position will serve as a Bioinformatics Analyst III and will work under the guidance of Dr. Rui Yin and Dr. Jiang Bian, in collaboration with senior programmers, to fulfill the research and service missions of the BMI program, especially for bioinformatics projects. In particular, the incumbent will lead the software development of a genomics data pooling infrastructure and other related projects. Strong expertise in bioinformatics software development is necessary to fulfill the duties of this position. Duties to Include: Participate in the creation of a novel pipeline that meets the needs of the genomics data pooling infrastructure and other related projects by working with an interdisciplinary team of bioinformaticists, software developers, information quality experts, statisticians, and researchers during software development. Handle data queries from researchers and apply software applications to pre-process EHR and genomics data and extract data elements required by researchers. Assist with the development of technical project proposals to build new software or deploy and update existing software used in data cleanup, ETL, and related tasks. Participate in the design, implementation, and reporting of research and evaluation studies. Contributions to scientific reports, conference papers, and journal articles are expected, including documentation of the method, presentation of data, and participation in the interpretation of results. Assist with the workflow of incoming data requests and other processes around the management, transformation, and analysis of data. Recommend and assist with the development of workflow and process changes to enhance the efficiency of tracking and delivery. Participate and contribute to the communication of requests and results delivery. Assist with the management of data governance around data sets. Expected Salary: $70,000 to $95,000 Minimum Requirements: A master's degree in appropriate area of specialization and two years of experience or a bachelor's degree and four years of experience. Preferred Qualifications: • Familiarity with Whole Genome Sequencing and Whole Exome Sequencing data, as well as workflows and pipelines. • Familiarity with computing platforms/tools, including but not limited to AWS, AWS Omics, Nextflow, Snakemake, etc. • Experience in machine learning modeling or GWAS analysis. Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. The University of Florida is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. This is a time limited position. Application must be submitted by 11:55 p.m. (ET) of the posting end date Health Assessment Required: No Applications Close: 01 May 2023 To apply, visit https://explore.jobs.ufl.edu/en-us/job/526592/bioinformatics-analyst-iii The University is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. jeid-8886eb3614e83d49a4dd0fe957ab994b

Job Description The Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health at the University of Maryland School of Medicine (UMSOM) is recruiting for a Bioinformatics Specialist (IS). The IS functions as a collaborator who applies bioinformatic and statistical expertise to the design, implementation, analysis, interpretation, and reporting of research and... clinical omics studies in various disease fields, including but not limited to cancer, cardiometabolic diseases, and Alzheimer’s Disease. The work is performed under the supervision of the Lead Bioinformatician faculty PI at the University of Maryland Greenebaum Comprehensive Cancer Center. The successful candidate will become a fundamental component of a multidisciplinary, inter-institutional team. The Division of Biostatistics and Bioinformatics is the UMSOM hub for biostatistics and bioinformatics. We also house the Biostatistics and Bioinformatics Shared Service of the UM Marlene and Stewart Greenebaum Comprehensive Cancer Center (UMGCCC) as well as being one of the UMSOM Center for Innovative Biomedical Resources (CIBR) core facilities. UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development. Exempt regular staff receives a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, unlimited accrual of sick time, comprehensive health insurance and retirement options; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school; and flexible work schedules and teleworking options (if applicable per job). Essential Functions: Master’s degree in bioinformatics or a related field with an emphasis on analytical omics expertise with at least two (2) years of relevant research specialization. Other degrees will be considered if candidates have relevant experience or coursework that shows analytical skills. Skills and knowledge in a variety of bioinformatics and computational biology tools and techniques to analyze genomics, proteomics, and metabolomics data (omics technologies). Strong programming skills to develop novel analytical tools as needed by projects, including but not limited to Python, R, SAS, STATA, and cloud computing infrastructure. Basic training in statistical methodology. Familiar with commonly used public bioinformatics databases. "Self-Starter" attitude with the ability to work in dynamic work environments. Team player attitude with a willingness to lead when necessary. Ability to prioritize and organize various tasks on projects. Excellent spoken and written communication skills. Experience with Microsoft Office Suite. Qualifications Education: Master’s degree in bioinformatics or related fields. Ph.D. degree preferred. Experience: Ability to develop informatics strategies customized to individual projects with minimal supervision. Other: Research experience with cancer, heart disease, or Alzheimer’s disease fields. Knowledge, Skills, and Abilities: Familiarity with sing-cell omics technologies. Knowledge of cloud technologies such as AWS or Google Cloud. Experience in data mining and machine-learning algorithms. Presentation of research results using data visualization techniques. Hiring Range: $108,000 - $114,000. UMB is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. For assistance related to employment, please contact the Staffing department at HRJobs@umaryland.edu. If you anticipate needing a reasonable accommodation for a disability under the Americans With Disabilities Act (ADA), during any part of the employment process, please submit a UMB Job Applicant Accommodation Request. You may also contact HRDiversity@umaryland.edu. Please note that only inquiries concerning an ADA request for reasonable accommodation will be responded to from this email address. Job: Reg or CII Exempt Staff Shift: Day Job Organization: School of Medicine - Epidemiology and Public Health Job Posting: Apr 17, 2023 Unposting Date: May 17, 2023, 10:59:00 PM