Bioinformatics Jobs

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. 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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

Description We are seeking a junior bioinformatician for the Tisch Cancer Institute Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead genomics, transcriptomics and epigenetics data analysis projects related to Cancer and Developmental biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of biostatistics and bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer institute and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of the histone variant MacroH2A in the regulation of chromatin organization in melanoma utilizing micro-C analysis, enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are working to develop a computational classifier for risk assessments from cancer patients’ biopsies, utilizing WES and ultra-low pass WGS and ML tools. We are seeking a highly motivated junior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with TCI investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects is a must. We feel that BiNGS presents a unique opportunity for junior bioinformaticians who seek to work with like-minded professionals to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; and their involvement in reducing racial bias in science through mentorship of URM in Science. Responsibilities • Execute computational analysis for bulk RNA- and ATAC-seq, ChIP-seq, and HiC using existing analysis pipelines. • Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. for example; correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on. • Provide analyses and visualization for presentations and publications. • Participate in the implementation of new software tools to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements, identify available tools, implement and test. • Manage the core online database and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. • Tracking and reporting of ongoing projects. • Provide training to TCI investigators and trainees. Qualifications • B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline; MSc in Bioinformatics or Computational biology with a focus on genomics or related discipline preferred. • 3 years experience required • Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++. • Experience in analyzing and integrating bulk RNA- and ATAC-seq, ChIP-seq, and HiC datatypes. • Knowledge of cancer biology, chromatin biology, and technologies such as next-generation sequencing. • Proven experience with Perl, R and Unix. Additional experience with standard genomics tools for high-throughput sequencing data analysis is preferred (e.g., Bowtie2, deepTools, Samtools, and the UCSC genome browser). • Experience in batch HPC cluster environment with a parallel file system. • Ability to research, analyze, recommend, communicate and implement data analysis solutions. • Must be able to work as an individual while part of a small team. Employer Description Strength Through Diversity The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by: • Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential. • Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination. • Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers. At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization. We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally. Explore more about this opportunity and how you can help us write a new chapter in our history! “About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 43,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes approximately 7,400 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics and top 20 in Cardiology/Heart Surgery, Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 14 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.” EOE Minorities/Women/Disabled/Veterans Compensation The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65000 - $83430 Annually. Actual salaries depend on a variety of factors, including experience, 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.

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

Understanding the location and functions of genes within an organism's genome is useful for scientists to learn more about the relationship between organisms. We look at several features of fruit fly genomes as part of the Genomics Education Partnership. We use online software to make judgements about start and stop sites on exons within the genomes. Students can participate remotely, though sessions with the PI are needed for training and initial workthroughs.

Site Name: USA - Pennsylvania - Upper Providence, Cambridge MA, Heidelberg, UK - Hertfordshire - Stevenage Posted Date: 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/

Senior Data Scientist (Biostatistics and Bioinformatics Core (BBC) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist (Biostatistics and Bioinformatics Core (BBC) Job Profile Title Research Analyst Job Description Summary The Biostatistics and Bioinformatics Core (BBC) in the Abramson Cancer Center (ACC) provides expert biostatistical, bioinformatics, and data management guidance in the design, conduct and analysis of research projects conducted by ACC members, and offers training in all aspects of design and analysis. Core personnel apply existing design and analysis methodologies, in addition to adapting or developing new methods to address novel design and analysis issues arising in cancer studies. A major BBC responsibility is to support the design and conduct of clinical trials. As such, the BBC plays a key role in the Protocol Review and Monitoring System, particularly through the Clinical Trials Scientific Review and Monitoring Committee (CSTRMC). Job Description This Senior Data Scientist will be a key member of the Biostatistics and Bioinformatics Core (BBC) in the Abramson Cancer Center (ACC) at the University of Pennsylvania Perelman School of Medicine. The primary responsibility of this position will be to provide statistical expertise to design, conduct, monitoring, and analysis of cancer studies in basic, translational, clinical, and/or population science research. The incumbent will also contribute to statistical review of clinical trial protocols submitted to the ACC Clinical Trials Scientific Review and Monitoring Committee (CTSRMC). The specific duties for this position may include protocol development, study design, analysis plan, sample size / power calculations, and interpretation of study data; develop, design and write new and/or revised statistical programs (say in SAS or R) and modeling based on requirements of ongoing research projects; conduct and interpret analyses of research data using descriptive statistics, inferential tests, and advanced statistical methods and models; evaluate and ensure statistical integrity, accuracy and validity of research data; compiles results and provides statistical summaries and reports to principal investigators; assist with grant proposal preparation in study design, sample size calculations, and development of statistical analysis plans; assist with preparation of journal articles, technical reports and other materials for publication and presentation; manage biomedical databases for assigned research projects; read and review appropriate biomedical and statistical papers; and attend project meetings. Position is contingent upon funding. Qualifications Master's degree in biostatistics, statistics or related quantitative field with 6+ years' experience in design, conduct, monitoring, and analysis of cancer clinical studies, in preparing and reviewing clinical trial protocols, and in preparing grant applications and writing research reports, or doctoral degree with 3+ years' experience in these areas. Working Conditions Office, library, computer room Physical Effort Typically sitting at a desk or table ; Occasional lifting 25 lbs. or less Job Location - City, State Philadelphia, Pennsylvania Hybrid Eligible - This position is eligible for a hybrid work schedule with a work week divided between working onsite and working remotely. Department / School Perelman School of Medicine Pay Range $74,476.00 - $100,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, as well as internal and market factors and grade profile. Affirmative Action Statement Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. Special Requirements Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits • Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. • Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. • Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. • Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family—whatever your personal needs may be. • Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. • Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. • Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. • University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement—and you and your family can enjoy many of these activities for free. • Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. • Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. • Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. • Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. ​ To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay To apply, visit https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Blockley-Hall/Senior-Data-Scientist--Biostatistics-and-Bioinformatics-Core--BBC-_JR00054455-2 Copyright ©2024 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-cc49120466184048ba0a0567e13ed11b

Research Associate in Bioinformatics within ITMAT Location: Philadelphia, PA Open Date: Mar 11, 2024 Deadline: Mar 11, 2026 at 11:59 PM Eastern Time The Institute for Translational Medicine and Therapeutics at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for a Research Associate position in the Academic Support Staff. This appointment will be initially for one (1) year and continuation during that time period and renewal are based on satisfactory performance and availability of funding (limited to three (3) years). Expertise is required in the specific area of Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or closely related field. Applicants must have a Ph.D. degree. Responsibilities may include • Research in bioinformatics, which includes: - designing, architecting, developing, and testing software for managing and processing big data sets obtained from various biological experiments - investigating and benchmarking published bioinformatics software and tools - investigating high performance computing and cloud platforms for running bioinformatics software and tools - development of novel methods for statistical and/or machine learning analysis of omics data • Computational and statistical support for studies performed by ITMAT researchers, which includes: - management and processing of big data sets obtained by next generation high throughput sequencing - statistical and machine learning analysis of processed data - integration of heterogeneous (transcriptomics, epigenomics, proteomics, metabolomics, i.e., omics) data sets using statistical and machine learning techniques - development of methods for manipulation and visualization of omics data • Participation in various seminars, colloquia, and conferences • Occasional light teaching assignments. The successful applicant will have an opportunity to primarily carry out a research program under the direction of Dr. Gregory Grant. The position will also allow the candidate to grow as an independent scientist and gain eligibility to apply for funding through different mechanisms. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. Qualifications Application Instructions To apply, visit https://apply.interfolio.com/142410 The University of Pennsylvania values diversity and seeks talented students, faculty and staff from diverse backgrounds. The University of Pennsylvania is an equal opportunity and affirmative action employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class. Questions or concerns about this should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, University of Pennsylvania, 421 Franklin Building, 3451 Walnut Street, Philadelphia, PA 19104-6205; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD). jeid-2438d0bf2eeac14baa64ef1c49ca72e8

SHIFT: Day (United States of America) Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Genomic Diagnostic Laboratory (GDL) of the Children’s Hospital of Philadelphia is seeking a highly motivated Supervisory Bioinformatics Scientist to manage our Bioinformatics team consisting of Bioinformatics Scientists, Bioinformatics Engineers, and RIA Programmers. This is an exciting opportunity to join our laboratory where we use a wide variety of molecular and cytogenetic test methodologies to provide accurate, timely diagnostic testing that has a direct impact on patient care. The team also supports cutting edge R&D efforts including new clinical test development and clinical research. The Supervisory Bioinformatics Scientist is a key member of the leadership team in the GDL, collaborating with other lab leaders including the Director of Bioinformatics, clinical directors, managers, and supervisors). The successful candidate will have a strong human genetics, bioinformatics, and management background that will be applied to training, clinical work, R&D, and troubleshooting. Good documentation practices as well as strong organizational and communication skills are essential. Job responsibilities include scheduling work duties, providing semi-annual performance reviews, assuring that all accreditation requirements are in full compliance, and participating in quality improvement initiatives. We seek a leader who has an interest in strategic planning to develop and improve our bioinformatics pipelines and other tools to support our expanding test menu. This position can be worked fully on-site at our campus in Philadelphia, PA, or as a hybrid role with an expectation of on-site presence at least once a week, and additional on-site presence possible based on the needs of the lab. In addition to many of the subject matter expert responsibilities of the Principal Bioinformatics Scientist, the Supervisory Bioinformatics Scientist will also: • Build and supervise a team responsible for the architecture, development, testing and production rollout of integrated biomedical data resources and applications. • Balance competing priorities and resource allocation across a portfolio of matrixed projects and collaborations. • Promote common standards and best-practice use of multiple technologies to create innovative solutions that have a high impact on data-intensive clinical and translational research. • Serves as the data integration team lead on larger complex projects that include informatics, clinical and translational researchers. • Propose staffing plans for multi-year strategic data resource initiatives. • Train, mentor, and hold junior staff accountable to the results of modern technology development methodologies such as code test coverage, continuous integration, monitoring. • Educate staff, students, and trainees (fellows, post-docs) on appropriate staffing and expertise levels for application of data integration methods in the clinical and translational research environment. What you will do • A Supervisory Bioinformatics Scientist functions as both subject matter expert and team manager. The responsibilities echo those of a Principal Bioinformatics Scientist, but include direct supervision of team members and projects. A Supervisory Bioinformatics Scientist will: • Directly lead and mentor junior staff in a direct supervisory capacity. • Guide and develop the skills and expertise of junior staff • Build project budgets by estimating time and effort costs • Hold data integration and technical teams accountable to high-level project goals and timelines, mapping detailed project plans into these timelines. • Recruit, hire, and retain a focused team of any of Bioinformatics Scientists, Bioinformatics Engineers, and Bioinformatics Programmers. • Provide bioinformatics academic and thought leadership for joint collaborations with CHOP PIs. Education Qualifications • Master's Degree Required • Doctorate Bioinformatics, Computational Biology, Computer Science, Information Science, Informatics, Biomedical Engineering, Biological Science or a related discipline Preferred Experience Qualifications • At least seven (7) years Experience in bioinformatics analysis, bioinformatics database development, bioinformatics database administration, bioinformatics data management, or related discipline, with progressively more complex projects in a biomedical science or healthcare environment. Required • At least one (1) year Small team supervisory experience. Required Skills and Abilities • Experience in bioinformatics and statistical data analysis on highly dimensional data types such as derived from genomics and observational clinical or human subjects research data. • Expert knowledge of relational database management systems such as PostgreSQL, MySQL, Oracle required. • Expert knowledge of bioinformatics applications and algorithms. • Expert knowledge of one or more of the following required: Python/Django, R, Perl, Scala, Ruby or other scripting languages. • Expert biological domain knowledge. • Must exhibit excellent oral, presentation, and written communication skills. • Experience with source code management, application development, and project lifecycle management. • Project management experience of complex matrix projects required. • Proficiency in the areas of bioinformatics analysis, statistical modeling, data integration, and bioinformatics thought leadership in the larger biomedical community. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement