Bioinformatics Jobs

Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description At AbbVie the Genomics Research Center (GRC) is a center of excellence for genetics and genomics that works with both Discovery and Development. Within the GRC, the Department of Bioinformatics is responsible for data analysis and provides analytical insights for both internal and external data. The Neuroscience Bioinformatics group of the GRC bioinformatics team is partnering with the AbbVie Neuroscience department to leverage OMICS data and bioinformatics analysis to identify and develop innovative approaches and cutting-edge strategies to address brain disorders. We have an exciting opportunity for a Computational Biologist/Bioinformatician in the Neuroscience Bioinformatics group of the GRC, based in Lake County (North Chicago (IL)). The successful candidate will work closely with bioinformatics and wet-lab groups in North Chicago (IL), Cambridge (MA), Ludwigshafen (Germany) and to contribute to target and biomarker identification, validation, and project advancement by OMICS data analysis. Key Responsibilities • Develop and drive computational strategies for biomarker discovery and Precision medicine for early and late-stage projects with a focus on neurodegenerative disorders, psychiatric disorders, movement disorders and migraine. • Analyze and integrate genomics, transcriptomics, proteomics, and other OMICS data from consortia, collaborations, preclinical models, and clinical studies to enhance the understanding of disease mechanisms, target/biomarker identification/validation and patient stratification. • Evaluate, develop, and implement computational methods, pipelines and tools for data analysis and visualization. Interpret results and contribute to hypothesis generation. • Collaborate with disease biology experts, statisticians and bioinformaticians within AbbVie. Objectives, strategies, results, and interpretation are discussed in interdisciplinary and international teams. Qualifications • Bachelor’s Degree or equivalent education and typically, 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary. • At least 4 years’ experience in hands-on analysis of OMICS data, optimally including genomics data analysis and at least two other OMICS technologies. • Fluency in one or more relevant programming languages, such as R or Python. • Very good communication skills demonstrated in inter-disciplinary teams. • Experience in basic Neuroscience research and/or Neuroscience drug discovery and/or pharmaceutical industry is a plus. • Experience with data analysis of clinical studies is a plus. • Options for remote and onsite work are discussed in the interview. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​​ • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​​ • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​​ • This job is eligible to participate in our short-term incentive programs. ​​ Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

The Department of Pathology at The Ohio State University Wexner Medical Center (OSUWMC) and the James Cancer Hospital Molecular Laboratory is seeking a Director of Clinical Bioinformatics at the Associate or Full Professor rank. Expertise in the areas of clinical bioinformatics and genomics is essential. Research interests in machine learning, artificial intelligence, digital spatial profiling, or the integration of genomics and digital pathology is preferred. Qualified applicants must possess an MD, MD-equivalent, PhD or MD/PhD degree, with relevant clinical board certification/ eligibility or clinical bioinformatic/informatics certification/ eligibility. The ability to conduct independent research is required and a history of obtaining competitive grant funding is desirable. Requirements: • Relevant practical experience in clinical bioinformatics, with prior experience in supervising variant scientists or annotators desirable • Well-developed interests in translational or basic research in clinical bioinformatics or genomics • Qualify for an academic appointment at the associate or full professor level – Academic rank and salary will be commensurate with previous training and experience This role will: • Oversee the clinical genomics laboratory staff of PhD bioinformaticians and masters-level variant scientists • Lead and support a research program on clinical or translational bioinformatics/genomics • Help create bioinformatic pipelines or novel software tools in genomic/computational pathology • Work with the molecular pathologists and clinical laboratory directors on automated data-driven workflows for clinical genomics or integrated pathology-genomics signouts • Molecular pathology signout, if applicable, based on training and certifications • Represent the pathology faculty in cancer center or institutional initiatives in genomics and bioinformatics • Serve as a mentor to graduate students, PhD candidates, medical students and other trainees

Overview Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Bioinformatics Analyst III will provide data analysis services to researchers in the Fred Hutch Clinical Testing Labs - Molecular OncologyXXXX lab, particularly focusing on molecular, single cell genomics, integration of high-dimensional immunologic data and genome sequencing. This position requires the ability to work independently, manage multiple overlapping demands, and communicate effectively with faculty, lab managers, lab staff, staff scientist, and research staff on a wide range of topics in biology, analytical biochemistry, sound experimental design, and data science. The Bioinformatics Analyst will work closely with the medical director, clinical laboratory director, and MO staff for clinical variant analysis as well as development and execution of small programming and database projects related to the data analysis workflows needed for the Fred Hutch clinical testing labs. The BA is also expected to work closely with NIH teams, Fred Hutch IT teams, Shared Resources cores, especially Genomics and Hutch Data core, and as needed SWOG data teams, to ensure that data quality is high and that users have access to advice and continuing dialog as they review results. Given the large volumes and diverse types of data generated and integrated in Bioinformatics projects, practical applied programming skills are also essential. Responsibilities PRIMARY/ESSENTIAL DUTIES: • Supports the maintenance of computational infrastructure and the flow of samples and information for large-scale studies in compliance with applicable FDA, NYS-DOH, CLIA, and CAP regulations. • Contribute to web-based bioinformatics (both public and internal relational databases), and assists in the development as well as the application of computational tools. • Interpret complex biological information, conduct statistical and genomic analysis. • Write custom scripts to access databases, perform and evaluate quality control and analyze sequencing data (must be proficient with NGS, LRS data would be a desirable skill). • Assist in the development and refinement of data analysis and integration methodology and pipelines. Must have ability to write scripts automating data transfers to and from AWS and other databases, and can incorporate API. • Analyze large sequence datasets from diverse workflows including exome capture, RNA-seq, single cell sequencing, ATAC-seq, and CRISPR screens. • Work with Hutch scientists to refine computational research questions and develop analytical processes that can be applied to these genomic datasets. • Consult with researchers on sound experimental design. • Identify appropriate bioinformatics tools to meet the needs of proposed projects. • Partner with researchers who are developing novel assays to design appropriate processing and analysis workflows. • Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the team. • Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications. • Collaborate with colleagues in the Genomics Shared Resource and the Hutch Data Core to ensure the integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines, and provide support as stakeholders analyze and interpret results. • Train laboratory members and collaborators on analytic workflows. • Upload and maintain datasets, workflows, and code (for example GEO, Github). • Excellent written and oral communication skills - required for manuscripts, grant, presentation, preparation. • Candidate must demonstrate outstanding personal initiative and creativity in problem solving. • Other duties as assigned. SCOPE OF RESPONSIBILITY: • Level of autonomy: A senior level position that works under minimal supervision, works on and completes complex projects requiring advanced knowledge and skills. Ability to conduct clinical variant analysis as part of the clinical data review team, manage multiple overlapping demands, work independently as well as balance their own schedules, and communicate effectively with faculty, managers, lab staff, and research staff on a wide range of topics in molecular biology, analytical biochemistry, sound experimental design, and data science. • Financial responsibility: None Qualifications MINIMUM QUALIFICATIONS: • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field. • At least three years’ direct experience in computational analysis of large, complex sequence-based molecular data sets. • Two+ years of experience in software development, data engineering, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets. • Direct experience must include whole exome sequencing, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell immune repertoire profiling data, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling, TCR-seq, CITE-seq, ChIP-seq, ATAC-seq, and CRISPR/Cas9 knockout screens). • Demonstrated fluency in R and Python 3 are essential. • Proficiency with Linux/Unix shell scripting (e.g., bash). • Facility with commonly used Bioconductor packages, ggplot, tidyverse etc. • Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc). • Familiarity with workflow and scheduling software (e.g., Slurm). • Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS: • Master’s degree in bioinformatics, computational biology, genetics, or related field. • Experience handling data in compliance with FDA, NYS-DOH, CAP, and CLIA regulations. The annual base salary range for this position is from $95,888 to $143,811, and pay offered will be based on experience and qualifications.Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months). Additional Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The UHealth System at the University of Miami has an exciting opportunity for a Bioinformatics Analyst in the Radiation Oncology Department. SUMMARY The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS • Runs and maintains existing next generation data analysis pipelines. • Assists senior bioinformatics analysts in pipeline and algorithm development and validation. • Extracts features of interest from data relating to specific biological questions. • Contributes to the maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Works along-side other team members and data analysts. • Follows standard operating procedures, documentation, and scripts to generate reports. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • Ability to process and handle confidential information with discretion. • Proficiency in computer software. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9

At Cleveland Clinic Health System, we believe in a better future for healthcare. And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day. We all have the power to help, heal and change lives — beginning with our own. That’s the power of the Cleveland Clinic Health System team, and The Power of Every One. Job TitleBioinformatics Technologist LocationCleveland FacilityCleveland Clinic Main Campus DepartmentLRI Inflammation and Immunity-Research Innov and Educ Job CodeT98393 ShiftDays Schedule8:00am-5:00pm Job Summary Job Details Join Cleveland Clinic’s Lerner Research Institute and become a part of one of the most respected healthcare organizations in the world. Lerner Research Institute embodies Cleveland Clinic’s values of research, innovation and education by conducting leading-edge research that improves the lives of patients today and in the future. Here, you will work alongside passionate and dedicated caregivers, receive endless support and appreciation and build a rewarding career. The Department of Inflammation & Immunity advances scientific understanding by bringing together a dedicated and collaborative team of scientists at the forefront of immunologic and organ-based research, to deliver impactful translational science that improves the health and well-being of patients at Cleveland Clinic and across the globe. As a Bioinformatics Technologist, you will: • Perform software programming in various languages. • Maintain and run software systems for bioinformatics analysis, including raw data quality control, sequence alignment, variant calling, annotation, and reporting. • Provide input to develop software and data analysis solutions. • Complete department tasks. • Provide ongoing support for existing databases/software. The ideal future caregiver is someone who: • Has experience in DNA and RNA sequence data analysis • Has experience with single-cell RNA sequencing data. • Has a bachelor’s degree in systems biology, bioinformatics, computer science or a related field. • Demonstrates a strong work ethic. In this role, you will work in a dynamic and technologically advanced environment that allows you to discover, learn and grow. You’ll remain professionally challenged as you shape the career of your dreams and find where you belong, here at Cleveland Clinic. At Cleveland Clinic, we know what matters most. That's why we treat our caregivers as if they are our own family, and we are always creating ways to be there for you. Here, you'll find that we offer: resources to learn and grow, a fulfilling career for everyone, and comprehensive benefits that invest in your health, your physical and mental well-being and your future. When you join Cleveland Clinic, you'll be part of a supportive caregiver family that will be united in shared values and purpose to fulfill our promise of being the best place to receive care and the best place to work in healthcare. Responsibilities: • Assists with testing hypotheses. • Develops basic statistical, mathematical, and predictive modeling as well as building algorithms and performing data analytics. • In collaboration with bioinformatics specialists, maintains and runs, software systems for bioinformatics processing of sequence data, including, but not limited to, raw data quality control, sequence alignment, variant calling, annotation, and reporting. • Develops and implements workflows for data analysis tools in collaboration with research scientists. • Builds and deploys data analysis support systems for large data sets; e.g., well-structured flat files, APIs, or other types of services. • Acquires, cleans, and structures data from multiple sources to ensure data quality. • Utilizes process enhancement opportunities to improve efficiency of data pulling, reporting, programming, operation, etc. • Other duties as assigned. Education: • Bachelor's Degree in Systems Biology, Bioinformatics, Computer Science or related field (such as Mathematics, Physics, Biology, Business Intelligence). Languages: • N/A Certifications: • None required Complexity of Work: • Requires critical thinking skills, decisive judgment, and the ability to work with minimal supervision. • Must be able to work in a stressful environment and take appropriate action. • Ability to participate within a multidisciplinary team of IT professionals, physicians, molecular biologists, computer scientists, and biostatisticians. Work Experience: • Must possess knowledge of conducting data analytics, math or statistical modeling or machine learning. • Experience in bioinformatics software. • Detailed knowledge of core bioinformatics concepts and skills • Proficiency in interpreted languages; Python or Perl preferred. • Experience or willingness to learn R for specialized tasks and integration with data analytics workflows. • Experience producing useful code (not necessarily in context of employment - personal projects or contributions to open-source projects are applicable). • Experience with high performance computing cluster preferred. • Demonstrated experience in communication/presentation skills. Physical Requirements: Ability to perform work in a stationary position for extended periods. Ability to travel throughout the hospital system. Ability to operate a computer and other office equipment. Ability to communicate and exchange accurate information. Personal Protective Equipment: • Follows Standard Precautions using personal protective equipment. The policy of Cleveland Clinic Health System and its system hospitals (Cleveland Clinic Health System) is to provide equal opportunity to all of our caregivers and applicants for employment in our tobacco free and drug free environment. All offers of employment are followed by testing for controlled substance and nicotine. All offers of employment are follwed by testing for controlled substances and nicotine. All new caregivers must clear a nicotine test within their 90-day new hire period. Candidates for employment who are impacted by Cleveland Clinic Health System's Smoking Policy will be permitted to reapply for open positions after one year. Cleveland Clinic Health System administers an influenza prevention program. You will be required to comply with this program, which will include obtaining an influenza vaccination on an annual basis or obtaining an approved exemption. Decisions concerning employment, transfers and promotions are made upon the basis of the best qualified candidate without regard to color, race, religion, national origin, age, sex, sexual orientation, marital status, ancestry, status as a disabled or Vietnam era veteran or any other characteristic protected by law. Information provided on this application may be shared with any Cleveland Clinic Health System facility. Please review the Equal Employment Opportunity poster. Cleveland Clinic Health System is pleased to be an equal employment employer: Women / Minorities / Veterans / Individuals with Disabilities

A Bioinformatics Research Scientist position is immediately available under the supervision of Dr. Zhaoming Wang in the Department of Epidemiology and Cancer Control at St. Jude Children’s Research Hospital. Wang Lab is seeking a talented and highly motivated data scientist to apply established and innovative approaches towards analyzing multi-omics data to discover potential biomarkers for risk of chronic health conditions including second cancers among long-term survivors of childhood cancer. In addition to large-scale molecular profiling data encompassing genome, epigenome, and transcriptome, we also have access to rich longitudinal clinical data from the two largest cohorts of childhood cancer survivors: St. Jude Lifetime Cohort and Childhood Cancer Survivor Study. Strong expertise in R and/or Python programming is required. Extensive working experience in next-generation sequencing analysis and domain knowledge in one or more of bioinformatics, biostatistics and genetic/molecular epidemiology are highly desired. The ability to work independently and in a team-setting (multi-tasking and effective communications) is also essential. The Wang Lab is currently focused on cancer genetics (pediatric cancers, subsequent adult cancers), aging biomarkers (telomere, epigenetic age, clonal hematopoiesis), and multi-omics integrative analysis (including single-cell approaches). Job Responsibilities: • Work closely with Dr. Wang and others with the overarching goal of contributing to the clinical research by melding multi-omics data with clinical/phenotypic data for discoveries in the area of precision preventive medicine for survivorship care. • Contribute to multi-omics data management and primary sequencing data analysis by setting up/improving automation pipeline with established computational methods. • Lead the development of analytical workflows (secondary analyses) for assigned research projects. • Learn new bioinformatics techniques for data mining in molecular phenotyping (e.g., deconvolution analysis, mosaicism detection, HLA imputation) • Contribute to the preparation and submission of manuscripts for publication. • Present to collaborators and team members to report scientific discoveries and educate researchers about relevant methods, software or scientific results. • Perform other duties as assigned to meet the goals and objectives of the department and institution. 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. 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 - Dr. Zhaoming Wang. Explore our exceptional benefits! 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.

At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. 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 professional can work in a 100% remote capacity and must be located in the US. • Lead technical design, implementation and delivery of projects aiming to launch new diagnostic tests and services. Act as technical owner for your project, being responsible for the end-to-end solution from technical side. • Work with cross-functional partners from business, operations, IT, R&D lab, geneticists, medical directors, and other bioinformatics stakeholders to create solutions that meet business and operational requirements. • Lead solution architecture and interface design including system architecture for bioinformatics and detailed data flow mapping. • Collaborate with stakeholders to ensure compliance of the solution with internal and external IT security and clinical policies and processes. • Work with bioinformatics domain leaders to select appropriate technology platforms for each step in the diagnostic process. • Oversee end-to-end testing and diagnostic test validation activities with the project team. • Lead the technical documentation and plan and execute handover to operations to ensure effective launch and operation of the solution. • Work with project management and report on progress, analyze risks and escalate issues to ensure accurate project management. Required Work Experience: • BS with 7+ years of experience, MS with 4+ years of experience, or PhD with 3+ years of 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. • At least 5 years of experience working in a regulated industrial life sciences environment. • At least 4 years of professional software development or technical engineering experience Preferred Work Experience / Skills: • Thorough understanding of end-to-end diagnostic process including ordering, wet lab, dry lab, result interpretation and result and data delivery. • Experience with solution design, system architecture, solution architecture, data flow modeling. • Experience in leading technical design and implementation of complex projects. • Experience with sequencing data analysis, bioinformatics, variant data analysis. • Knowledge of bioinformatics tools and workflow managers for sequencing data analysis and quality control. • Experience working with SQL and NoSQL databases. • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs). • Experience with designing and implementing solutions in the cloud. AWS experience is preferred. • Experience of working in clinical diagnostics setting (regulations, controlled processes, diagnostic test validation, environment management). • Solid understanding of human genetics and oncology in diagnostic setting. • Solid understanding of web lab process for DNA sequencing and working with or developing LIMS systems. • Infrastructure management: Terraform, AWS CDK. • Architecture design: Microsoft Visio, DrawIO, similar for crafting architecture diagrams. • Programming Languages: Python, javascript/typescript, R, etc. • Containerizing: Docker • Web Frameworks: Python Flask, React Native, Bootstrap • Reporting: 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 Education: Bachelor’s Degree Required Master’s Degree or PhD Preferred Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

Job Title: Bioinformatics Scientist - III Location: Cambridge, MA Duration: 24 Months 02 Openings: 1 focusing on Genomic data & 2nd is for (Multi-Omics data & Transcriptomics analysis) Department: Data and Genome Sciences Group: Precision Genetics The Precision Genetics group within the Data and Genome Sciences Department is seeking a skilled Contractor to join our Computational Precision Genetics team. We are looking for a data scientist with extensive experience in genetic data analysis to contribute to our innovative research efforts. Key Responsibilities: • Data Ingestion: Query external databases to acquire relevant genetic/genomic datasets (e.g., dbSNP, 1000 Genomes Project, gnomAD, GTEx, Ensembl, Open Targets, ClinVar). • Genetic/Genomic Data Analysis: Perform quality control (QC) and analysis of genetic/genomic data, including genotype imputation from array data, variant calling and annotation using state-of-the-art methods (e.g., IMPUTE, Minimac, Eagle, BEAGLE, GATK, bcftools, samtools, ANNOVAR). • QTL Analysis: Conduct QTL analysis to identify genetic loci associated with quantitative traits, utilizing tools such as PLINK, R/qtl, or TASSEL. • Population Genetics Analysis: Analyze genetic variation across populations, including allele frequency estimation, linkage disequilibrium, and population structure analysis. • Data Integration: Integrate genetic datasets with other omics data, including genomic, epigenomic, transcriptomic and proteomic data, to provide comprehensive insights into gene function and regulation. • Documentation: Prepare detailed documentation of analysis methods and results in a timely manner. Quals: Required Qualifications, skills and experience: • Minimum: Ph.D. in Genetics, Genomics, Computational Biology, or a related field. • A proven track record of over 5 years in genetic data analysis. • Fundamental understanding of statistical methods and genetic data analysis and integration (e.g., variant analysis, population genetics, genomic annotations). • Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses. • Experience with high-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets). • A collaborative and self-motivated individual with a strong work ethic, capable of managing multiple objectives in a dynamic environment and adapting to changing priorities. • Excellent written and verbal communication skills. Preferred Qualifications: • Experience with real-world genetic data processing and analysis. • Proficient in genetic/genomic data analysis tools and techniques. • Understanding of statistical genetics principles and methods. • Expertise in AI/ML. Note: • Onsite role at Cambridge, MA. • Do not submit candidates who are looking for remote. • Do not submit candidates with just BS/MS. Key skills: • Proficient in genetic/genomic data analysis tools and techniques-e.g., variant analysis, population genetics, genomic annotations. • Proficiency in R, Python, and Bash. • High-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. R&D is committed to discovering and delivering transformational vaccines and medicines to prevent and change the course of disease. We believe the Greater Boston area is an important hub for the biotech and pharma industry, which is why we've invested in growing our footprint and expanding our R&D space in Cambridge, with a primary focus on additional state-of-the-art lab space. Here, we will bring together talent and expertise, building upon GSK's long history of vaccine development, to create globally leading viral capabilities and cutting-edge vaccines technologies, as we add to our robust portfolio targeting infectious diseases at every stage of life. In the plan to create a new hub for mRNA-based vaccine discovery in Cambridge, we are building new laboratories that will be focused on the development of state-of-the-art methods that will be supporting deep product understanding, process and product development, as well as testing of pre-clinical and clinical samples for new mRNA-based vaccines. As a Principal Bioinformatics Scientist in the Molecular Analytics team, you will be expected to contribute toward our omics-based program supporting our mRNA-based vaccine discovery efforts. You will join our diverse preclinical research and development team working on cutting-edge technologies in addition to developing new assays suitable for candidate screening and mechanism of action studies. Key Responsibilities: • Design, develop, optimize, and implement next-generation sequencing (NGS) analysis pipelines for the characterization of RNA and DNA molecules of interest for vaccine research and development, and their mechanism of action. • Execute a wide range of traditional computational tasks, such as sequence identity and variant calling analysis, vector integration site analysis, gene expression profiling (bulk, single cell, spatial) from data generated across sequencing platforms, e.g. short and long read sequencers. • Analyze, interpret, and record experimental results and present them in written/oral communications. • Build statistical models and/or machine learning algorithms to extract features of interest. • Develop, and execute new methods and protocols and proactively incorporate new technology or techniques into practice with minimal supervision. • Collaborate with scientists throughout the organization to support NGS activities. • Perform complex data management tasks with supervision. • Lead vaccine development-related scientific investigations and publish the work in scientific journals and patent filings. Basic Qualifications: • Degree in bioinformatics, computational biology, systems biology, data or computer science, applied math, statistics, or related scientific field. • PhD with 3+ years of post-doc and/or job-related experience, MS with 6+ years of experience, or BS with 9+ years of experience. • Five or more years of academic or industry experience in computational biology or bioinformatics, along with genomics, epigenomics, or transcriptomics. • Five or more years of experience in programming (R and Python) and computational environments (Linux, HPC, cloud computing). • Five or more years of experience handling NGS data. • Five or more years of experience in next-generation sequencing technologies (Illumina, Pacific Biosciences, Oxford Nanopore) and their applications, e.g., bulk RNA-seq, single cell omics, immune repertoire profiling. Preferred Qualifications: • Proficiency in single cell and spatial omics data analysis and interpretation, using data generated from commercially available technologies such as 10x Genomics, Parse Bio, Scale Bio. • Proficiency in long-read sequencing data analysis from PacBio or ONT platforms. • Working knowledge of molecular and cell biology. • Effective written and oral communication skills as well as presentation skills. Fluency in English. • Must be detail oriented; possess problem solving skills, and the ability to handle multiple tasks. • Able to efficiently manage uncertainty, changes in priorities and timeline restrictions. • Experience in advanced statistics and AI/ML. • Hands-on experience in molecular and cell biology related to NGS, including but not limited to: Nucleic acid extraction, PCR, library preparation, and sequencing. • Experience in developing fully custom NGS analysis pipelines. #Vx-Cam #Li-GSK Please visit GSK US Benefits Summary t o 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. 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About the position We are seeking a passionate scientist with a background in "omics" data analysis to join our team at Washington University School of Medicine. This position is part of a collaboration between the laboratories of Dr. Mayssa Mokalled and Dr. Aaron Johnson. The successful candidate will utilize innovative bioinformatics, machine learning, and statistical approaches to support NIH-funded research projects focused on the mechanisms regulating spinal cord repair and muscle regeneration. The project encompasses conducting analyses on next-generation sequencing data, as well as single-cell genomics, single-cell transcriptome data, and spatial transcriptomics. Highly motivated individuals will have the opportunity for advancement within this dynamic research environment. The Mokalled and Johnson labs are committed to mentoring and nurturing a creative, thoughtful, and collaborative lab culture. Located in the Department of Developmental Biology at Washington University School of Medicine in St. Louis, these laboratories are part of an internationally recognized research institution consistently ranked among the top five medical schools in the country. The extreme collegiality of Washington University, combined with the large Regenerative Medicine Community and extensive infrastructural and core facility support, creates a vibrant research environment in many areas of regenerative biology. This is an especially exciting time to join the Mokalled and Johnson labs, as they are expanding into fully funded and new research directions at the cutting edge of spinal cord and muscle regeneration. This position also offers opportunities for publications and conference presentations, enhancing the professional development of the appointee. Responsibilities • Implements algorithms and computer software for analyzing omics-based data sets, including high-throughput, massively parallel genomic/proteomic/clinical data. , • Develops data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. , • Coordinates research projects with other investigators and institutions. , • Participates in developing hypotheses and experimental design. , • Assists with reporting of methods, data, and results. Requirements • Bachelor's degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR a master's degree in computer science, bioinformatics, biostatistics, or related field; OR combined education and experience of seven years. , • Good understanding of computational biology. , • Ability to analyze and interpret large complex data sets, such as genome sequencing, microarray gene expression studies, human genetic studies, and model organism studies. , • Expertise in standard bioinformatics tools. Nice-to-haves • Analytical, reasoning, and problem-solving skills. , • Ability to communicate data in a clear, concise manner. Benefits • Up to 22 days of vacation, 10 recognized holidays, and sick time. , • Competitive health insurance packages with priority appointments and lower copays/coinsurance. , • Free Metro transit U-Pass for eligible employees. , • Forgivable home loan of up to $12,500 for closing costs and down payment for homes in eligible neighborhoods. , • Defined contribution (403(b)) Retirement Savings Plan with university contributions starting at 7%. , • Wellness challenges, annual health screenings, mental health resources, mindfulness programs, and employee assistance program (EAP). , • 4 weeks of caregiver leave to bond with a new child. , • Tuition coverage for employees and their families, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years.