Bioinformatics Jobs

The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida. With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the... globe. The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service. The Department of Hussman Institute has an exciting opportunity for a Full Time Bioinformatics Analyst. The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. JOB FUNCTIONS Running and maintaining massively parallel sequencing data workflows primarily related to Alzheimer disease whole genome sequencing including raw sequencing data QC, alignment, variant calling, filtering, and annotation. Working with external collaborators including sequencing centers, analysis groups, and long-term data repositories to organize data storage, transfer, and processing. Coordinate bioinformatics procedures and storage requirements of internal high throughput genomics data. Work within the bioinformatics group to provide support for various Alzheimer disease research projects by interfacing with the sequencing cores and project analysts. Follow existing standard operating procedures and create carefully documented scripts to generate analysis reports as necessary. Generally applying existing pipelines to solve bioinformatics challenges, which includes troubleshooting, problem-solving, gathering requirements, analysis of the problem, and designing and implementing solutions to resolve issues. Exploring alternative pipelines and implementation including cloud computing solutions for whole genome sequencing analysis. Assisting with IT and Bioinformatics needs for data storage management including file management and data archiving. Participating in weekly Alzheimer and bioinformatics team and individual meetings to update progress Run and maintain existing next generation data analysis pipelines. Assist senior bioinformatics analysts in pipeline and algorithm development and validation. Extract features of interest from data relating to specific biological questions. Contribute to the maintenance of genomic and clinical databases. Performs statistical and integrative data analysis on genomics and clinical data. Work along-side other team members and data analysts. Follows standard operating procedures, documentation, and scripts to generate reports. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. QUALIFICATIONS Education: Bachelor’s Degree in relevant field required Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. #LN-AL1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida’s only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We’re the challenge you’ve been looking for. Patient safety is a top priority. As a result, during the Influenza (“the flu”) season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer – Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: r7

The primary purpose of the Research Bioinformatician position is to carry out data preparation responsibilities related to cancer clinical trials, develop skilled statistical programs, perform statistical analysis associated with clinical data and prepare written reports to investigators. In addition, this position prepares statistical considerations for basic trial designs or grants and performs... biostatistical reviews of protocols. KEY FUNCTION: • Statistical Consulting and Collaboration: • Compiles, analyzes and reports statistical data for various projects including, but not limited to manual and computer-aided data abstraction and evaluation, clinical trials, computerized imaging and bioinformatics. • Prepares statistical considerations for basic trial designs and carries out uncomplicated statistical analyses independently, but completes statistical responsibilities for more complex projects with supervision. • Assists faculty in the development of new statistical methodology for measurement and analysis of data. • Applies advanced statistical methods, simulation models, and skilled statistical programming as needed. • Assesses relevant literature as well as existing data, evaluates the quality of data used in reports and assists with preparation and distribution of data for committee and scientific meetings. • Attends project meetings with collaborators with or without supervisor as directed by supervisor. • May present findings at relevant meetings both inside and outside of the institution as requested. • Protocol Review: • Participates in the protocol review process jointly with supervisor. • Statistical Reporting: • Prepares written reports to investigators jointly with supervisor. • May present findings at relevant meetings both inside and outside of the institution as requested. • Other duties as assigned. EDUCATION: Required: Master's degree in Biostatistics, Statistics, Bioinformatics, Mathematics or related field. Preferred: PhD in Biostatistics, Statistics, Bioinformatics, Mathematics or related field. EXPERIENCE: Required: Two years experience with mainframe and/or PC databases, document processing and statistical software such as SAS and S-Plus. With preferred degree, no required 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: 147658 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 81,000 • Midpoint Salary: US Dollar (USD) 101,500 • Maximum Salary : US Dollar (USD) 122,000 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Remote (within Texas only) • Pivotal Position: Yes • Science Jobs: Yes

A Research Associate position is available in the lab of Dr. Serghei Mangul in the Titus Department of Clinical Pharmacy, School of Pharmacy at the University of Southern California. The Mangul lab aims to improve the techniques of bioinformatics in order to better understand the mechanisms of disease. This includes designing, developing, and applying novel and robust data-driven, computational... approaches that will accelerate the diffusion of genomics and biomedical data into translational research and education. The University of Southern California (USC), founded in 1880, is located in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is. The Titus Department of Clinical Pharmacy unites patient-centered care with health system insight and analysis. The department’s faculty represents a wide range of clinical and research specialties, from community pharmacy and geriatrics to oncology and psychiatry. The Titus Department of Clinical Pharmacy is one of the nation’s leading research programs devoted to pursuing new knowledge and advances in pharmacotherapy, translational research, regulatory science and related areas. The successful candidate will perform research and develop novel bioinformatics algorithms and conducting large-scale integrative analyses of biological and genomic datasets. The anticipated area of research is immunogenomics. The successful candidate will work on methods to characterize the individual immune response from high throughput sequencing data. In particular, on methods that utilize the gene counts to perform computational deconvolution, an efficient method to identify cell type composition of the sample directly from the bulk gene expression data. The developed computational method will be applied across 70,000 RNA-Seq samples. Inferred immune cell types will be used to characterize the immune response and be used as biomarkers across various infectious diseases. Additional information about our lab and research can be found at: http://www.sergeimangul.com. The position is available for 1 year and renewable contingent on successful progress and available funding. Salary will be competitive. The University of Southern California offers a competitive benefits package including medical, dental, vision, life insurance, accidental death and dismemberment insurance, and short and long term disability insurance. Candidates should have a Ph.D. in bioinformatics, computational biology, computer science, or a related field. Proficiency in Python, C++, and Unix Bash Shell is essential. Competitive applicants will also have extensive experience in working with high performance clusters and conducting bioinformatics research, and will have the desire to apply for external fellowship funding. Preference will be given to candidates with a compelling publication record, evidence of substantial research productivity, and ability to successfully communicate scientific information. Review of applications will begin immediately and will continue until the position is filled. The position is expected to start in Fall 2019, though specific dates are negotiable. Interested candidates should submit a CV, short (1-2 pages) cover letter describing your research interests and fit within the lab, and contact information for 2-3 references. Minimum Education: Ph.D. or equivalent doctorate Minimum Experience: 1 year Minimum Field of Expertise: Directly related education and experience in research specialization with advanced knowledge of equipment, procedures and analysis methods

​Location: LOC_HOME-Home/Remote Office Location Req ID: 204171... Shift: Days Employment Status: Regular - Full Time ​About Us We’re seeking breakthrough makers! Children’s Hospital of Philadelphia was built on the belief that we can change lives. Today, in every role throughout our hospital, research institute and care network, the 22,000 members of our workforce are finding new ways – big and small – to make a difference for the patients and families we serve. If you are ready to challenge yourself, be inspired and grow – no matter what your role – you just may be the kind of breakthrough maker who will thrive at CHOP. ​CHOP is proud to share that we are ranked No. 1 on Forbes' 2022 list of America's Best Large Employers! Job Summary The Raymond G. Perelman Center for Cellular and Molecular Therapeutics (CCMT) is dedicated to the understanding, development, and application of gene and related cell and nucleic acid therapies and the promotion of professional and public education in the field. The CCMT fosters a multidisciplinary approach among researchers and scientists working to discover new gene and cell therapies in search of cures for debilitating and life-threatening disorders. The Davidson Laboratory, an integral part of the CCMT, studies neurodegenerative disorders with the goal of finding long term therapies. We are looking for a computer scientist or computational biologist to work alongside researchers providing computational support on projects requiring analysis of high throughput sequencing data. The ideal candidate will have a degree in a relevant field (bioinformatics, computer science, computational biology) or will have experience working with high throughput sequencing data, and a high comfort level using existing bioinformatic tools and pipelines to process these datasets. Proficiency in either Python or R programming languages is strongly encouraged and an ideal candidate will be comfortable developing custom scripts and bioinformatic pipelines to analyze datasets. While working in an inter-disciplinary lab environment applicants will have the opportunity to gain experience with a wide variety of molecular biology techniques including, basic laboratory techniques such as PCR, gel electrophoresis, and DNA/RNA isolation desired, next generation sequencing library preparation, tissue culture work, molecular cloning, and proteomics such as western blotting. Prior experience in any of these specialties is a plus. Job Responsibilities • Pre-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Use standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan. • Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances. • Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resources. • Provide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status. • Coding (20%): Code and generally support code and applications on behalf of collaborative project and/or team. • Within the context of the collaboration or project, develop and apply best practices to code development. • Establish requirements with the project team. • Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption. • Advocate for chosen strategy to project team by showing value of approach • Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations. Job Responsibilities (Continued) • Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews. • Data Analysis (20%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team. • Develop robust analysis plans independently with regular peer-to-peer review in both informal and formal settings. • Incorporate more advanced applications and methods into analysis. • Develop at least one specialty analytical or biomedical area that serves the collaborative team. • Collaboration (20%): Establish role within collaborative project team as primary bioinformatics resource. • Contribute to and influence project-level management by serving as bioinformatics point. • Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms. • Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role. • Develop new collaborations with high degree of supervision. • Academic Output (20%): Develop presentations, grant sections, and manuscript sections with subsequent review by peers and mentors. • Regularly contribute to bioinformatics-focused manuscripts and publications. • Regularly contribute to podium presentations and posters. • Contribute to bioinformatics sections of grant and award proposals. Required Education and Experience Required Education: Bachelor’s Degree Required Experience: • At least three (3) years of experience in applied bioinformatics, genomics, and computational work. • Experience with management and analysis of complex data types. Preferred Education, Experience & Cert/Lic Preferred Education: Master’s Degree in biological or computational discipline Preferred Experience: • Four (4) or more years of experience in applied bioinformatics, genomics, and computational work. • Experience with Python, Perl, or other languages. • Experience with pipeline or workflow development frameworks. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture. Additional Technical Requirements • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used bioinformatics language required. • Proficiency in various open source and commercial bioinformatics resources and software required. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. • Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is preferred. • Ability to interact with biologists and clinicians during a scientific discussion is required. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • Ability to independently plan and execute analyses of moderate complexity required. • Ability to provide objective validation of results required. • Ability to work in a team environment. To carry out its mission, it is of critical importance for the Children’s Hospital of Philadelphia (CHOP) to keep our patients, families and workforce safe and healthy and to support the health of our global community. In keeping with this, CHOP has mandated all workforce members on site at any CHOP location for any portion of their time be vaccinated for COVID-19 as a condition of employment. This mandate also applies to workforce members performing work for CHOP at non-CHOP locations. Additionally, all workforce members based in or regularly scheduled to work at any New Jersey location are mandated to be both vaccinated and boosted for COVID-19, with booster timing consistent with applicable guidelines. The CHOP COVID-19 vaccine mandate is in alignment with applicable local, state and federal mandates. CHOP also requires all workforce members who work in patient care buildings or who provide patient care to receive an annual influenza vaccine. Employees may request exemption consideration for CHOP vaccine requirements for valid religious and medical reasons. Please note start dates may be delayed until candidates are fully immunized or valid exemption requests are reviewed. In addition, candidates other than those in positions with regularly scheduled hours in New Jersey, must attest to not using tobacco products. EEO / VEVRAA Federal Contractor

The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida. With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the... globe. The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service. The Department of Hussman Institute has an exciting opportunity for a Full Time Bioinformatics Analyst. The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. JOB FUNCTIONS Running and maintaining massively parallel sequencing data workflows primarily related to Alzheimer disease whole genome sequencing including raw sequencing data QC, alignment, variant calling, filtering, and annotation. Working with external collaborators including sequencing centers, analysis groups, and long-term data repositories to organize data storage, transfer, and processing. Coordinate bioinformatics procedures and storage requirements of internal high throughput genomics data. Work within the bioinformatics group to provide support for various Alzheimer disease research projects by interfacing with the sequencing cores and project analysts. Follow existing standard operating procedures and create carefully documented scripts to generate analysis reports as necessary. Generally applying existing pipelines to solve bioinformatics challenges, which includes troubleshooting, problem-solving, gathering requirements, analysis of the problem, and designing and implementing solutions to resolve issues. Exploring alternative pipelines and implementation including cloud computing solutions for whole genome sequencing analysis. Assisting with IT and Bioinformatics needs for data storage management including file management and data archiving. Participating in weekly Alzheimer and bioinformatics team and individual meetings to update progress Run and maintain existing next generation data analysis pipelines. Assist senior bioinformatics analysts in pipeline and algorithm development and validation. Extract features of interest from data relating to specific biological questions. Contribute to the maintenance of genomic and clinical databases. Performs statistical and integrative data analysis on genomics and clinical data. Work along-side other team members and data analysts. Follows standard operating procedures, documentation, and scripts to generate reports. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. QUALIFICATIONS Education: Bachelor’s Degree in relevant field required Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. #LN-AL1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida’s only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We’re the challenge you’ve been looking for. Patient safety is a top priority. As a result, during the Influenza (“the flu”) season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer – Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: r7

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... 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 • Build and evaluate algorithms and statistical models to improve existing genetics applications within and beyond NGS technologies and create novel ones • Develop high-performance bioinformatics workflows that can accurately and reliably analyze large volumes of NGS data using Nextflow in a system agnostic manner • Develop best practices for analysis of NGS data including optimization of parameters, resource utilization, and consensus approaches across various NGS applications • 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 • Working with wet lab scientists to independently design experiments and communicate conclusions for internal review • Develop reproducible analysis for research and development purposes • Help draft and execute the data analysis aspects for clinical software/assay validations • Optionally maintain a visible profile in the Bioinformatics community through publications, conference presentations, and collaborations • Review, understand, and stay in compliance with Invitae HIPAA Security policies and procedures Qualifications • MS with 8+ years experience or PhD with 5+ years experience in Bioinformatics or Computational Biology • Fluent in R/Python, *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) At Invitae, you’ll work alongside some of the world’s experts in genetics and healthcare at the forefront of genetic medicine. Our teams thrive in our dynamic organization, which has been designed to empower them to make the biggest impact they can for our patients. We give our employees the ability to explore interests and capabilities broadly within the organization. We prize freedom with accountability and offer significant flexibility. We also provide excellent benefits and competitive pay in a fast-growing organization. At Invitae, we’re changing healthcare to change lives. 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. The actual salary for this role will be based on several variables, including geographic location, work experience, education, and skills and achievements, and will be mutually agreed upon. USA National Pay Range $141,998—$165,000 USD You can find a detailed explanation of our privacy practices here

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: • Development of pipelines and tools for the comprehensive analysis of large amounts of multi-omics data being generated by the GSS. • Establish and maintain the cloud infrastructure for GSS on AnVIL and GCP. • Interact with GREGoR team members as well as external tool developers to implement new tools, algorithms, and updates. • Develop intuitive reports for molecular pipelines for tracking progress and quality metrics. • Track reports for problems with pipeline analysis and underlying data. • Extract relevant data from a variety of sources, including RESTful API services, databases and medical records. • Serve as a resource for bioinformatics inquiries from the clinical team members to access data or results from local cluster/cloud/external provider. • Work with stakeholders across the consortium to best understand data structures to model metadata schemas. • Mentorship to Junior Analysts with regards to primary analysis • Document and report as needed to fulfill grant and regulatory obligations. • – Other duties may also be assigned Due to the nature of the work, this position will be fully onsite. Desired Qualifications: • Graduate degree (Ph.D or M.S) that emphasizes bio/medical informatics, engineering, computer science and statistics are preferred. • Relevant work experience preferred, two or more years. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, metabolomics, atac-seq, proteomics. • Proficiency in Python and/or R and Linux bash scripting. • Experience with pipeline languages like WDL or snakemake or nextflow. • Proven track record of data and infrastructure management in a HPC (High Performance Computing) cluster or cloud computing like Google Cloud Platform or AWS. • Experience with container systems such as setting up virtual machines and docker instances. • Experience and knowledge of code management such as github. • Experience in systems biology approaches for data integration is a plus • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (rare disease) is a plus. • Experience on bioinformatics and/or software development team-based projects. • Willingness to work in a highly collaborative environment. Experience as part of large NIH consortiums is a plus. • Ability to quickly adapt and learn the latest tools and skills. • Strong communication skills (e.g., put together reports and presentations). • Ability to work independently (e.g., find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results). Education & Experience (Required): Bachelor’s degree and three years of relevant experience or 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. • Excellent writing and analytical skills. • Ability to prioritize workload. Tagged as: Data Science

Why Mayo Clinic Mayo Clinic is the nation's best hospital (U.S. News & World Report, 2022-2023) and ranked #1 in more specialties than any other care provider. We have a vast array of opportunities ranging from Nursing, Clinical, to Finance, IT, Administrative, Research and Support Services to name a few. Across all locations, you’ll find career opportunities that support diversity, equity and... inclusion. At Mayo Clinic, we invest in you with opportunities for growth and development and our benefits and compensation package are highly competitive. We invite you to be a part of our team where you’ll discover a culture of teamwork, professionalism, mutual respect, and most importantly, a life-changing career! Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary. Position description Under general supervision and guidance: - The analyst/programmer is responsible for the support of moderately complex software-based systems in the supported areas. - Contributes to the design, development, implementation, and maintenance of custom software, or the installation and maintenance of purchased software systems. - Produces documentation such as systems requirements, designs, and plans as requested by the work unit leadership. - Work will be reviewed for quality, timeliness, and adequacy at predetermined milestones. Qualifications Working towards a PhD in Computer Science or related Informatics field with a GPA of 3.0 or greater. Additional qualifications Experience with Java, SQL, and XML. Exemption status Non-exempt Compensation Detail $24.42 - $30.00 / hour Benefits eligible No Schedule Part Time Hours / Pay period 40 Schedule details Monday - Friday 20 hours a week Weekend schedule N/A Remote Yes International Assignment No Site description Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life. Recruiter Stephanie Baird EOE As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available

A pharmaceutical company in Illinois is actively seeking a dynamic and hardworking professional to join their staff as their new Bioinformatics Analyst. In this role, the Bioinformatics Analyst will support computational research priorities associated with oncology discovery programs. Responsibilities... The Bioinformatics Analyst will be responsible for: • Querying public cancer genomics resources for mutation/expression distributions • Assessing normal expression, interpreting germline associations between targets and relevant diseases, • Assessing internally generated proteomic/transcriptomic datasets • Informing discovery peers on computational opportunities for ongoing programs • Providing feedback on experimental design • Communicating results to diverse scientific backgrounds Qualifications • Ph.D.; or a Master’s degree with 1+ year of industry work experience; or a Bachelor’s degree with 8+ years of experience in bioinformatics, computational biology, computer science, engineering, or cancer biology • Oncology experience • Experience processing omics (transcriptomics, proteomics, genotypes, etc.) or other high-dimensional data • Strong understanding of principles behind raw data processing and downstream analysis for common NGS data types • R experience • Experience with Linux, on-premise HPC, or AWS • Exceptional communication and collaboration skills Desired skills • Prior experience in the pharmaceutical industry or a related field • Familiarity with public genomics data repositories (Genomic Data Commons, SRA/GEO, ENA/EBI, TCGA, GTEx) • Experience with Python

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science... to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com . In this role, you will analyze some of the largest, richest genomics datasets in the world to identify biological patterns and guide assay and classifier development. Working closely with scientists, clinicians, and engineers, you will develop algorithms and tools to investigate the biology of tumor-derived cell-free DNA and to translate your insights into new assay and classification strategies. Your efforts will contribute to exciting biological discoveries, influential scientific publications, and impactful products for the early detection of cancer! You will: • Design and implement computational methods to identify and exploit opportunities to improve assay and classifier performance. • Collaborate closely with assay scientists to plan experimental studies and interpret results. • Work with a team of versatile bioinformaticians and data scientists to apply machine learning and statistical methods to large, sophisticated genomics datasets to generate biological insights. • Present project updates and results regularly at technical meetings. • Interact cross-functionally with other teams including software, clinical, operations, research, product development, and external collaborators. Your background should include: • M.S. or Ph.D. in bioinformatics, computational biology, statistics, biological sciences, cancer biology, genetics, genomics, computer science, physics, engineering, mathematics, or equivalent preparation and experience. • Familiarity with genomics and next generation sequencing. • Proven expertise in at least one programming language (such as R, Python, or Go) and proficiency within a Linux environment. • Preferred, familiarity with git or other version control systems. • Knowledge of statistical and machine learning tools and their application to genomics datasets. • Being self-directed with the ability to multitask in a sophisticated environment. • Capacity to thrive in a highly team-driven environment with a strong collaborative mentality. • Desire to teach and learn from others. • Strong written and verbal communication skills. • Comfort working with cloud-based systems such as G-Suite and AWS. GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL