Bioinformatics Jobs

Job title: Director, Bioinformatics Location: Cambridge, MA, About the Job Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. The Computational Biology Cluster is part of the Precision Medicine & Computation Biology (PMCB) global research function at Sanofi. We are looking for a leader in Computational Biology with deep expertise in building bioinformatics solutions, software, data and analytics workflows. The post holder will lead the new Bioinformatics Data, Software and Pipeline Engineering team in the Computational Biology cluster and help to index and integrate new biomedical insights from biomedical big data. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? About You • A global leader in Bioinformatics with extensive experience in leading global, matrix organizations • Strong background in target biology and experience in working key therapeutic areas including immune and inflammation diseases, oncology, rare and neuroscience • Experience in building data-rich solutions with a focus on discovery research and clinical data sets e.g.multi-omics, imaging, NGS, and patient databases (DNA, bulk-RNA, single-cell RNA, imaging, flow-cytometry, proteomics, etc.) • Collaborate with Sanofi’s Data Office and Digital Organization to define, develop, and deliver collaborative goals • Experience in data modeling, AI/ML, Data Ops, and AI/ML Model Ops • Works according to agile principles • Experience in one of the key therapeutic areas of Sanofi – GMU, I&I or RND • Experience in comprehensively presenting complex information to senior scientific and technical leadership • Presentations and Publications in leading AI/ML, Data Science, bioinformatics, and computational biology conferences/journals (ISMB, NeurIPS, IEEE, ACM) • Experience in biological, clinical, and healthcare data integration tools • Provide coaching, and support to junior scientists, engineers, and team members • Mentor data scientists, data engineers, and machine learning engineers • Excellent skills in cross-functional communication, and operating experience with a consultancy mindset in an R&D setting • Leadership experience in negotiating and optimizing resource allocations with vendors • Leadership experience in building, leading, and mentoring international teams is preferred • A close interaction and synergy with all PMCB in-silico and experimental clusters and therapeutic area functions will be expected Education: PhD in Bioinformatics, Biomedical Data Engineering, Computer Science or similar with 5+ years of experience Key skills: • Programming Languages: R, Python, Java, JavaScript (angular, react, node, express), html5/CSS, XSLT • Cloud: AWS, Azure, and GCP • OS and Servers: Linux, nginx, Apache • Databases: ETL, MongoDB, SQL/PLSQL, graph databases • Big data technology stack: Spark/PySpark, MySQL, NoSQL, Hadoop, Hive, Sqoop, Yarn, Map Reduce, HDFS • Experience in AI/ML Ops and Data Ops for petabytes of data • Others: Nginx, CWL, snake make • Experience in workflow management, orchestration tools, and solutions including Seven Bridges, DNA Nexus, etc. • Big data technology stack: Spark/PySpark, NoSQL, Hadoop, Cassandra, BigQuery, Snowflake, BigQuery • Experience in AI/ML Ops and Data Ops for petabytes of data and database optimization Why Choose Us? • Bring the miracles of science to life alongside a supportive, future-focused team. • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA ​ #LI-SA #LI-Onsite #vhd

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications). To be considered, please submit a resume and a cover letter that describes your interest in this position, and what skills you would bring to this role. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site position. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: • Graduate degree (MS, PhD) emphasizing statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, epigenomics (ATAC-seq, RRBS). Knowledge of metabolomics and proteomics analysis is a plus. • Experience in systems biology approaches for data integration. • Proficiency in Python and/or R and Linux bash scripting. • Experience and knowledge of code management such as GitHub. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of working with data and infrastructure in an HPC (High-Performance Computing) cluster or cloud computing environments like Google Cloud Platform, AWS, or Azure. • Experience with container systems such as setting up virtual machines and docker instances. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). 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. CERTIFICATIONS & LICENSES: • None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Overview Join the HJF Team! HJF is seeking a Bioinformatics Director to establish and direct bioinformatics support in human genome sequencing. Interfaces with clinical laboratory sequencing and physician scientist teams. Responsible for developing and implementing the computational infrastructure and analysis pipeline for whole genome next-generation sequencing data and provide support for research teams for interpreting genomics data across projects. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. Responsibilities • Establishes and conducts analyses and interpretation of whole genome and next-generation sequencing data. • Supervises and conducts analyses and interpretation of data from other genomic and proteomic platforms including nucleic acid/protein microarrays. • Integrates large genomic and proteomic datasets with systems biology tools. • Evaluates emerging and novel bioinformatics tools or sequencing data types. • Provides statistical support via statistical consultation throughout the courses of studies and prepare statistical reports for presentations and publications. • Supervises and performs complex analytical and statistical work using appropriate statistical/bioinformatic methods to identify disease-related changes. • Develops computing infrastructure plans in accordance with long- and short-term program objectives; direct systems evaluations; plan, install, test, and coordinate the corresponding systems/software changes. • May include budgetary responsibility to include plan/forecast, prepare, approve, monitor. Supervisory Responsibilities • Direct Supervisor: Direct authority to make decisions on the following: employee hiring, disciplinary action, starting salaries and merit increases; conduct employee performance evaluations and directs work activities. Qualifications Education and Experience • Doctoral Degree in Bioinformatics, Computational Biology, or related • More than 10 years experience required Required Knowledge, Skills and Abilities • Experience in bioinformatics, biostatistics, functional genomics. • Experience working in a high performance computing environment with large biological datasets. • Proven ability to extract/describe highly complex genomic/proteomic data and present data in a biologically meaningful context. • Demonstrated familiarity with statistical/mathematical packages such as R/MATLAB or equivalent. • Demonstrated experience installing/configuring and managing a high performance bioinformatics computing environment. • Knowledge of database management systems. • Ability to communicate effectively. • Ability to make effective presentations and publish. • Excellent verbal, written and interpersonal skills. Physical Capabilities • Ability to stand or sit at a computer for prolonged periods. Work Environment • This position will take place primarily in a Laboratory setting. Compensation • The annual salary range for this position is $144,700-$179,000. Actual salary will be determined based on experience, education, etc. Benefits • HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.

Look for more than answers. As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This person can work 100% remote and must be located in the US. • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting. • Serve as SME on specific systems/workflows supporting advanced development and high-tier production support. • Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review • Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement. • Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners. 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. Preferred Work Experience / Skills: • Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtools • Experience with sequencing data analysis, bioinformatics, variant data analysis • Pipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc. • Database: SQL (e.g., postgress, MySQL), understanding of NoSQL databases • Cloud Computing: AWS • Infrastructure management: Terraform, AWS CDK • Programming Languages: Advanced level with interpreted/scripting languages such as Python, javascript/typescript, R, etc. • Containerizing: Docker • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) • Web Frameworks: Python Flask, React Native, Bootstrap • Reporting: Familiarity with R Markdown, Jupyter Notebook • Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js • Source Control: Git • CI/CD: Gitlab CI/CD, Github CI/CD • Understanding of environment management • Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

The Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist to join the Transcriptomics Group. CAB is an institutional shared resource dedicated to providing state-of-the-art bioinformatics services to St. Jude investigators. Our Center collaborates with lab scientists and physician-scientists at multiple stages of their research, from study design, data analysis to preparation for presentations, grant proposals, and co-authoring manuscripts. We uphold the highest level of scientific rigor by carefully vetting and documenting all bioinformatics methods and pipelines. The successful candidate will develop and apply innovative analytical approaches to analyze & interpret new and existing multi-omic datasets obtained from both clinical and basic research lab, including bulk tumor/normal, single-cell/nucleus, and spatial-omic profiles. These analyses will contribute to understanding the underlying mechanisms driving pediatric cancers and other human diseases. The candidate will work closely with other bioinformatics personnel within CAB, playing an integral role in exciting research partnerships both within St. Jude and with external collaborators. He/she will contribute to establish the pipelines and best practice to characterize bulk or single cell RNA isoforms and noncoding RNA transcripts with long read sequencing technologies. He/she follows and adheres to best practices in structured transparent project management by tracking progress, identifying roadblocks, and proposing solutions, developing specific milestones for each research goal, and providing informative progress reports and summaries to principal investigators. The Center provides a highly interactive environment with collaborative opportunities across basic and clinical departments. You'll have access to high performance computing clusters, cloud computing environments, innovative visualization tools, highly automated analytical pipelines, and mentorship from experienced scientists. Members of this Center have the opportunities to publish high profile papers with prominent authorship depending on their intellectual contributions. The ideal candidate should have: · A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. · A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. · Experience analyzing some/all the following platforms: whole-genome/exome sequencing, RNA-seq. ATAC-seq, ChIP-seq/CUT&RUN, single-cell/nucleus RNA-seq, CITE-seq, single cell multiome (ATAC+GEX), spatial transcriptomics, and long-read sequencing (e.g., PacBio and Oxford Nanopore) · Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. · Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow), and version control (e.g., git). · Proficiency in tool development, including examples documented in public repositories. · Extensive expertise in data integration and harmonization. · Proven problem-solving skills and collaborative nature in fast-paced environment. · Excellent communication and presentation skills. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

The Winthrop P. Rockefeller Cancer Institute at the University of Arkansas for Medical Sciences (UAMS) is seeking an energetic and innovative Bioinformatician to serve as Director of our Bioinformatics Shared Resource. This position provides leadership and subject matter expertise for the Institute’s entire research enterprise. The new Director will assemble and oversee a team of bioinformaticians that provide support to cancer institute members for experimental design and to produce high quality analysis and output of data with the latest bioinformatics pipelines in support of publications and extramural funding. The Director of the Bioinformatics Shared Resource is appointed by the Director of the Winthrop P. Rockefeller Cancer Institute and works closely with the Associate Director of Shared Resources to provide support for cancer research. The Bioinformatician will have a faculty position in the College of Medicine. Candidates must be eligible for an academic appointment at the rank of Assistant Professor or above with a PhD, or comparable degree, and have a documented research track record, as evidenced by a history of peer-reviewed publications in high impact journals and/or extramural funding. Applicants must be able to work in a team environment. The position will have access to substantial resources including a multiple year financial package to support the Bioinformatics Shared Resource. This recruiting effort is made possible through significant institutional resources and a commitment from the state of Arkansas to support the Winthrop P. Rockefeller Cancer Institute’s efforts to attain NCI Designation. The Winthrop P. Rockefeller Cancer Institute is the only cancer center in the state of Arkansas with a robust cancer research portfolio and a mission to improve cancer outcomes for all Arkansans. Its 170+ members conduct outstanding cancer research within Cancer Therapeutics, Cancer Biology, and Cancer Prevention & Population Sciences research programs. Cancer Institute members receive annually approximately $20 million in extramural cancer research funds. The Cancer Institute has six shared resource facilities and has recently hired 23 laboratory-based cancer researchers. Applicants should send their Curriculum Vitae, a one-page letter of interest, and three professional references directly to Dr. Michael Birrer c/o Rikki Rogers at rrogers@uams.edu. Application deadline is March 15, 2025. Selected applicants will join a diverse and vibrant academic community that values its researchers and is committed to diversity, equity and inclusion. UAMS is an inclusive Affirmative Action and Equal Opportunity Employer of individuals with disabilities and protected veterans and is committed to excellence. If you need a reasonable accommodation for any part of the employment process, please contact us by telephone at (501) 686-6432 and let us know the nature of your request. We will only respond to messages left that involve a request for a reasonable accommodation in the application process. We will accommodate the needs of any qualified candidate who requests a reasonable accommodation under the Americans with Disabilities Act (ADA).

Nome do Local: USA - Pennsylvania - Upper Providence, Cambridge MA, Heidelberg, UK - Hertfordshire - Stevenage Data da Publicação: Feb 10 2025 Do you share a desire to advance scientific knowledge and capitalize on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio? The Data, Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focused on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets and unlock upper quartile ambitions. Collaboration is key as Data, Automation and Predictive Sciences will only be successful by working in close collaboration with matrix partner teams within Research Technologies functions, in the Research Units (all therapeutic areas), Onyx Research Data Platform (Tech/IT), R&D AIML and Risk & Compliance. As a Scientific Leader, Bioinformatics Engineering in the Data Sciences team aligned to Target Discovery and Human Genetics & Genomics, you will collaborate with scientists across Research Technologies functions to develop and deliver high-quality, high-impact industry-leading bioinformatics solutions. You will focus particularly on delivering bioinformatics solutions to produce high value harmonized multi-modal omics data assets at industrial scale and various levels of analysis for use across the medicine discovery portfolio. This position is based 2-3 days per week at a GSK R&D site in the USA (Upper Providence, PA; or Cambridge Tech Square, MA), in the UK (Stevenage), or in Germany (Heidelberg). This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following: • Architecting and delivering complex end-to-end bioinformatics workflows, for large-scale, performant, automated and reproducible analyses of genetic, cellular imaging and multi-omics data, to deliver harmonized multi-modal omics data packages and insights that drive portfolio and pipeline decision-making. • Designing, developing, testing, and enhancing, robust and scalable cloud-native implementations of best-in-class bioinformatics solutions for analysis and interpretation of genetics, omics, and imaging data on GSK’s Onyx Research Data Platform. • Leading collaboratively across departments, with scientists developing novel experimental or computational methods, and with data and software engineers, to enable maturation of best-in-class methodology into production quality pipelines. • Contributing to a culture of innovation, quality, and continuous learning and improvement within the team, including mentoring or upskilling other team members and continuously evaluating bioinformatics science and technology developments for potential application at GSK. • Understanding the internal and external landscape of disease (e.g. Hepatology, Respiratory, Neuroscience) data sources, data standards, and data governance principles to build identify and create high value harmonized multi-modal omics data assets. Why you? Required Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: • PhD or MS + 3yrs professional experience in a relevant scientific discipline with a significant data sciences component. • Minimum of 5 years professional experience, working in and leading multidisciplinary matrix teams across scientific and technical disciplines on large scale and complex database and software projects, in a continuously evolving landscape of scientific methods. • At least 5 years of experience programming and software engineering using Python (preferred) and/or R. Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics/monitoring) demonstrated in a corporate setting and/or via open-source contributions • At least 3 years of experience with cloud computing (e.g. Google Cloud, AWS, Azurre, Kubernetes) and modern bioinformatics and data engineering tools (e.g. Nextflow, Docker, Spark, BigQuery). • Demonstrated experience with a range of techniques in reproducible research (e.g. code standards, data standards, FAIR data principles, profiling and optimization, and agile software development) as applied to scientific areas aligned to Target Discovery and Human Genetics & Genomics (e.g. genetics, cellular imaging, omics). Preferred Qualifications: If you have the following characteristics, it would be a plus: • Proven track record of evaluating, improving and testing, and/or developing robust scalable implementations of, methodology and algorithms for analysis and interpretation of large-scale genetics, cellular imaging, or multi-modal omics data. • Strong communication and team-working skills, influencing, and leadership skills. Including prior matrix team leadership and direct line management experience. • Demonstrated delivery of complex and impactful projects, and coordination of multidisciplinary teams. • Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of ambiguity and change. #GSK_LI Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

The Epigenetics Group, a part of the Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital, is seeking a highly motivated and creative Bioinformatics Research Scientist or Lead Bioinformatics Analyst. This position involves developing and applying innovative analytical approaches to uncover the mechanisms driving pediatric cancers and other human diseases. By contributing to a wide range of projects and assisting researchers across St. Jude, you will make a meaningful impact on science and, ultimately, on the care and survival of pediatric cancer patients. In addition to performing diverse analytical tasks, we encourage team members to engage in pipeline development, explore novel trends in the field, stay updated on the latest methods, and even create new methodologies—provided these efforts align with our ultimate goal: “Finding cures. Saving children.™”. Our work often leads to high-profile publications, offering significant opportunities for career growth and scientific contributions. What We Offer: CAB provides a highly interactive and collaborative environment with opportunities to work alongside experts in transcriptomics, genomics, and genetics, as well as across basic and clinical research departments. Resources include but are not limited to: Access to St. Jude's high-performance computing clusters and cloud computing environments.Cutting-edge sequencing platforms, such as long-read sequencing technologies, single-cell DNA/RNA sequencing, and spatial transcriptomics. Innovative visualization tools and highly automated analytical pipelines powered by GPU technology. Mentorship from experienced scientists in data analysis and management, with an expertise in delivering high-quality results for competitive projects. Opportunities to participate in and present at scientific conferences, enhancing your expertise and expanding your network. CAB members have opportunities to contribute to high-impact research, co-author prominent publications, and file patents for novel biomarker discoveries or innovative methods in clinical diagnosis and treatment. Job Responsibilities: • Independently perform basic and advanced level statistical analysis, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check. • Design and prepare materials and courses for training on various bioinformatics software and databases, computing, data mining, and analysis. • Act as a liaison between end-users, software developers, system designers, and different departments. • Establish protocols or best practices for common research tasks and SOP, evaluate products and solutions to make recommendations, and integrate solutions. • Lead the development, implementation, installation, and maintenance of databases; coordinate data collection, database implementation, and usage and any hardware and software related to database collection. • Develop programs to assist in the analysis of data within the databases. • Assist in planning, coordinating, and organizing projects across departments and delegate tasks based on priority, expertise, and capacity. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Qualifications: Ideal candidates will have: • Experience building, maintaining and optimizing analysis pipelines or installing tools for high-throughput next-generation sequencing data analysis (e.g., ChIP-Seq, ATAC-Seq, RNA-Seq, Hi-C, HiChIP, or Capture-C) in Linux/Unix environments. • A solid understanding of basic epigenetic gene regulation mechanisms, like histone modifications, chromatin accessibility, DNA methylation or the 3D genome. • Very good programming skills in Bash scripting language and Python (preferred) or R programming languages. • Experience with version control systems such as Git. • Strong communication and project managements skills. • Experience with deep learning and Nextflow is a plus. This is an exceptional opportunity to gain experience in diverse areas of bioinformatics, contribute to cutting-edge research, and play a vital role in advancing St. Jude’s mission. Responsibilities • Specific responsibilities may include NGS data quality control, multi-omics integrative analyses, data visualization, and the development and evaluation of analytic tools. Excellent communication skills are essential. You will collaborate closely with various St. Jude Principal Investigators and their research teams to provide standardized or customized analyses, utilizing St. Jude's high-performance computing clusters and cloud computing environments. Additional Requirements: • Proficiency in programming (e.g., Python, R, C/C++, Perl, or other programming/scripting languages) in Linux/Unix environments is required. • Proven ability to work effectively with a wide range of users. • Demonstrated experience in analyzing and interpreting epigenetics data. • Proven experience conducting independent data analyses and managing projects is required. • Experience providing end-user support and training is required. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist- Epigenetics Group. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Look for more than answers. As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This person can work 100% remote and must be located in the US. • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting. • Serve as SME on specific systems/workflows supporting advanced development and high-tier production support. • Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review • Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement. • Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners. 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. Preferred Work Experience / Skills: • Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtools • Experience with sequencing data analysis, bioinformatics, variant data analysis • Pipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc. • Database: SQL (e.g., postgress, MySQL), understanding of NoSQL databases • Cloud Computing: AWS • Infrastructure management: Terraform, AWS CDK • Programming Languages: Advanced level with interpreted/scripting languages such as Python, javascript/typescript, R, etc. • Containerizing: Docker • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) • Web Frameworks: Python Flask, React Native, Bootstrap • Reporting: Familiarity with R Markdown, Jupyter Notebook • Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js • Source Control: Git • CI/CD: Gitlab CI/CD, Github CI/CD • Understanding of environment management • Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Imielinski Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research conducted in the Imielinski Lab and Perlmutter Cancer Center. Job Responsibilities: Assist in preparing concise presentations of computational results. Work with the Perlmutter Cancer Center cancer genomics team to integrate different types of genomics data. Adapt genomic data analysis pipelines in a rapidly evolving research environment. Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. Assist in the design, implementation, and execution standard pipelines for routine genomics data analyses Perform robust data quality control and validation. Develop expertise in various types of sequencing data analysis (e.g. , whole genome sequencing and 3D chromatin data from short and long reads, optical mapping, and single-cell sequencing.). Other duties as assigned. Work closely with bench scientists to understand and help accomplish their research goals. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines. Experience in Unix/Linux systems including HPC environments; Scripting languages: Python or Perl; Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $71,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here